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Publisher: IEEE   (Total: 191 journals)

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Showing 1 - 191 of 191 Journals sorted alphabetically
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 238, SJR: 1.151, h-index: 103)
Affective Computing, IEEE Transactions on     Hybrid Journal   (Followers: 22, SJR: 1.872, h-index: 26)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8, SJR: 0.664, h-index: 19)
Bell Labs Technical J.     Hybrid Journal   (Followers: 23, SJR: 0.596, h-index: 30)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 17, SJR: 1.851, h-index: 21)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 33, SJR: 1.201, h-index: 138)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10, SJR: 1.114, h-index: 62)
Canadian J. of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14, SJR: 0.208, h-index: 17)
China Communications     Full-text available via subscription   (Followers: 7, SJR: 0.231, h-index: 9)
Communications and Networks, J. of     Hybrid Journal   (Followers: 10, SJR: 0.608, h-index: 27)
Components, Packaging and Manufacturing Technology, IEEE Transactions on     Hybrid Journal   (Followers: 27, SJR: 0.62, h-index: 23)
Computational Intelligence and AI in Games, IEEE Transactions on     Hybrid Journal   (Followers: 25, SJR: 1.325, h-index: 24)
Computer     Full-text available via subscription   (Followers: 87, SJR: 0.599, h-index: 126)
Computing in Science & Engineering     Full-text available via subscription   (Followers: 31, SJR: 0.688, h-index: 47)
Control Systems     Hybrid Journal   (Followers: 200, SJR: 0.942, h-index: 83)
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 42, SJR: 0.578, h-index: 12)
Emerging and Selected Topics in Circuits and Systems     Hybrid Journal   (Followers: 8, SJR: 0.911, h-index: 19)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 164, SJR: 1.975, h-index: 168)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 3, SJR: 0.88, h-index: 25)
IEEE Access     Open Access   (Followers: 63, SJR: 0.947, h-index: 12)
IEEE Aerospace and Electronic Systems Magazine     Full-text available via subscription   (Followers: 151, SJR: 0.463, h-index: 43)
IEEE Annals of the History of Computing     Full-text available via subscription   (Followers: 20, SJR: 0.193, h-index: 16)
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 82, SJR: 1.016, h-index: 62)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 70, SJR: 1.901, h-index: 69)
IEEE Circuits and Systems Magazine     Full-text available via subscription   (Followers: 49, SJR: 0.937, h-index: 37)
IEEE Communications Letters     Hybrid Journal   (Followers: 56, SJR: 0.934, h-index: 107)
IEEE Communications Magazine     Full-text available via subscription   (Followers: 85, SJR: 3.133, h-index: 170)
IEEE Communications Surveys & Tutorials     Hybrid Journal   (Followers: 32, SJR: 4.187, h-index: 78)
IEEE Computational Intelligence Magazine     Full-text available via subscription   (Followers: 19, SJR: 0.898, h-index: 33)
IEEE Computer Architecture Letters     Hybrid Journal   (Followers: 35, SJR: 0.348, h-index: 20)
IEEE Computer Graphics and Applications     Full-text available via subscription   (Followers: 48, SJR: 0.377, h-index: 71)
IEEE Consumer Electronics Magazine     Full-text available via subscription   (Followers: 41, SJR: 0.328, h-index: 4)
IEEE Design & Test     Full-text available via subscription   (Followers: 18, SJR: 0.358, h-index: 61)
IEEE Distributed Systems Online     Full-text available via subscription   (Followers: 14)
IEEE Electrical Insulation Magazine     Full-text available via subscription   (Followers: 29, SJR: 0.626, h-index: 48)
IEEE Electromagnetic Compatibility Magazine     Full-text available via subscription   (Followers: 12, SJR: 0.241, h-index: 4)
IEEE Electron Device Letters     Full-text available via subscription   (Followers: 5, SJR: 1.791, h-index: 117)
IEEE Engineering in Medicine and Biology Magazine     Full-text available via subscription   (Followers: 6)
IEEE Engineering Management Review     Full-text available via subscription   (Followers: 41, SJR: 0.109, h-index: 12)
IEEE Geoscience and Remote Sensing Letters     Hybrid Journal   (Followers: 149, SJR: 1.203, h-index: 60)
IEEE Industrial Electronics Magazine     Full-text available via subscription   (Followers: 64, SJR: 2.451, h-index: 36)
IEEE Industry Applications Magazine     Full-text available via subscription   (Followers: 25, SJR: 0.307, h-index: 41)
IEEE Instrumentation & Measurement Magazine     Full-text available via subscription   (Followers: 65, SJR: 0.295, h-index: 29)
IEEE Intelligent Systems     Full-text available via subscription   (Followers: 58, SJR: 1.122, h-index: 90)
IEEE Internet Computing     Full-text available via subscription   (Followers: 29, SJR: 0.833, h-index: 88)
IEEE J. of Biomedical and Health Informatics     Hybrid Journal   (Followers: 15, SJR: 0.943, h-index: 76)
IEEE J. of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 35, SJR: 2.737, h-index: 15)
IEEE J. of Oceanic Engineering     Hybrid Journal   (Followers: 13, SJR: 0.969, h-index: 71)
IEEE J. of Quantum Electronics     Hybrid Journal   (Followers: 21, SJR: 1.128, h-index: 108)
IEEE J. of Selected Topics in Quantum Electronics     Hybrid Journal   (Followers: 8, SJR: 1.632, h-index: 130)
IEEE J. of Selected Topics in Signal Processing     Hybrid Journal   (Followers: 39, SJR: 1.759, h-index: 62)
IEEE J. of Solid-State Circuits     Full-text available via subscription   (Followers: 22, SJR: 3.278, h-index: 165)
IEEE J. of the Electron Devices Society     Open Access   (Followers: 9, SJR: 1.026, h-index: 7)
IEEE J. of Translational Engineering in Health and Medicine     Open Access   (Followers: 3, SJR: 0.262, h-index: 3)
IEEE J. on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE J. on Selected Areas in Communications     Hybrid Journal   (Followers: 23, SJR: 2.915, h-index: 186)
IEEE Latin America Transactions     Full-text available via subscription   (Followers: 3, SJR: 0.249, h-index: 10)
IEEE Life Sciences Letters     Hybrid Journal  
IEEE Micro     Full-text available via subscription   (Followers: 6, SJR: 0.686, h-index: 76)
IEEE Microwave and Wireless Components Letters     Hybrid Journal   (Followers: 22, SJR: 0.942, h-index: 98)
IEEE Microwave Magazine     Full-text available via subscription   (Followers: 38, SJR: 0.528, h-index: 49)
IEEE Multimedia     Full-text available via subscription   (Followers: 13, SJR: 0.948, h-index: 53)
IEEE Nanotechnology Express     Hybrid Journal   (Followers: 17)
IEEE Network     Full-text available via subscription   (Followers: 45, SJR: 1.654, h-index: 90)
IEEE Pervasive Computing     Full-text available via subscription   (Followers: 15, SJR: 0.602, h-index: 77)
IEEE Photonics Technology Letters     Hybrid Journal   (Followers: 10, SJR: 1.433, h-index: 128)
IEEE Potentials     Full-text available via subscription   (Followers: 29, SJR: 0.138, h-index: 20)
IEEE Power and Energy     Full-text available via subscription   (Followers: 26, SJR: 1.681, h-index: 50)
IEEE Power and Energy Technology Systems J.     Open Access   (Followers: 2)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 54, SJR: 0.532, h-index: 3)
IEEE Revista Iberoamericana de Tecnologias del Aprendizaje     Hybrid Journal   (SJR: 0.281, h-index: 5)
IEEE Robotics & Automation Magazine     Full-text available via subscription   (Followers: 41, SJR: 1.792, h-index: 63)
IEEE Robotics and Automation Letters     Hybrid Journal   (Followers: 2)
IEEE Security & Privacy Magazine     Full-text available via subscription   (Followers: 29, SJR: 0.734, h-index: 53)
IEEE Sensors J.     Hybrid Journal   (Followers: 84, SJR: 0.759, h-index: 69)
IEEE Signal Processing Letters     Hybrid Journal   (Followers: 44, SJR: 1.072, h-index: 95)
IEEE Signal Processing Magazine     Full-text available via subscription   (Followers: 71, SJR: 3.413, h-index: 125)
IEEE Software     Full-text available via subscription   (Followers: 184, SJR: 0.652, h-index: 84)
IEEE Spectrum     Full-text available via subscription   (Followers: 186, SJR: 0.199, h-index: 52)
IEEE Systems J.     Hybrid Journal   (Followers: 19, SJR: 1.143, h-index: 27)
IEEE Systems, Man, and Cybernetics Magazine     Hybrid Journal  
IEEE Technology and Society Magazine     Full-text available via subscription   (Followers: 7, SJR: 0.265, h-index: 22)
IEEE Transactions on Advanced Packaging     Full-text available via subscription   (Followers: 7)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 61, SJR: 2.13, h-index: 143)
IEEE Transactions on Applied Superconductivity     Hybrid Journal   (Followers: 5, SJR: 0.381, h-index: 62)
IEEE Transactions on Audio, Speech, and Language Processing     Hybrid Journal   (Followers: 17, SJR: 1.963, h-index: 108)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 53, SJR: 4.238, h-index: 211)
IEEE Transactions on Automation Science and Engineering     Full-text available via subscription   (Followers: 12, SJR: 1.832, h-index: 48)
IEEE Transactions on Big Data     Hybrid Journal   (Followers: 10)
IEEE Transactions on Biomedical Circuits and Systems     Hybrid Journal   (Followers: 9, SJR: 1.104, h-index: 42)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 17, SJR: 1.606, h-index: 140)
IEEE Transactions on Circuits and Systems I: Regular Papers     Hybrid Journal   (Followers: 30, SJR: 1.394, h-index: 86)
IEEE Transactions on Circuits and Systems II: Express Briefs     Hybrid Journal   (Followers: 21, SJR: 0.747, h-index: 65)
IEEE Transactions on Cloud Computing     Hybrid Journal   (Followers: 22, SJR: 1.186, h-index: 9)
IEEE Transactions on Cognitive and Developmental Systems     Hybrid Journal   (Followers: 1)
IEEE Transactions on Cognitive Communications and Networking     Hybrid Journal   (Followers: 3)
IEEE Transactions on Communications     Hybrid Journal   (Followers: 52, SJR: 1.659, h-index: 167)
IEEE Transactions on Components and Packaging Technologies     Full-text available via subscription   (Followers: 15)
IEEE Transactions on Computational Imaging     Hybrid Journal   (Followers: 3)
IEEE Transactions on Computational Social Systems     Full-text available via subscription   (Followers: 1, SJR: 0.277, h-index: 2)
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems     Hybrid Journal   (Followers: 12, SJR: 0.71, h-index: 95)
IEEE Transactions on Computers     Hybrid Journal   (Followers: 68, SJR: 0.924, h-index: 92)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 36, SJR: 0.732, h-index: 76)
IEEE Transactions on Control of Network Systems     Hybrid Journal   (Followers: 11, SJR: 1.651, h-index: 6)
IEEE Transactions on Control Systems Technology     Hybrid Journal   (Followers: 58, SJR: 2.986, h-index: 105)
IEEE Transactions on Cybernetics     Hybrid Journal   (Followers: 10, SJR: 2.886, h-index: 27)
IEEE Transactions on Dependable and Secure Computing     Hybrid Journal   (Followers: 13, SJR: 1.155, h-index: 44)
IEEE Transactions on Device and Materials Reliability     Hybrid Journal   (Followers: 24, SJR: 0.826, h-index: 53)
IEEE Transactions on Dielectrics and Electrical Insulation     Hybrid Journal   (Followers: 13, SJR: 0.584, h-index: 84)
IEEE Transactions on Education     Hybrid Journal   (Followers: 9, SJR: 1.389, h-index: 53)
IEEE Transactions on Electromagnetic Compatibility     Hybrid Journal   (Followers: 28, SJR: 1.329, h-index: 68)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 16, SJR: 1.436, h-index: 142)
IEEE Transactions on Electronics Packaging Manufacturing     Full-text available via subscription   (Followers: 21)
IEEE Transactions on Emerging Topics in Computing     Open Access   (Followers: 1, SJR: 0.396, h-index: 6)
IEEE Transactions on Energy Conversion     Hybrid Journal   (Followers: 16, SJR: 1.911, h-index: 125)
IEEE Transactions on Engineering Management     Hybrid Journal   (Followers: 28, SJR: 1.091, h-index: 69)
IEEE Transactions on Evolutionary Computation     Hybrid Journal   (Followers: 9, SJR: 4.308, h-index: 131)
IEEE Transactions on Fuzzy Systems     Hybrid Journal   (Followers: 20, SJR: 5.8, h-index: 144)
IEEE Transactions on Human-Machine Systems     Hybrid Journal   (Followers: 10, SJR: 2.377, h-index: 81)
IEEE Transactions on Image Processing     Hybrid Journal   (Followers: 67, SJR: 2.727, h-index: 198)
IEEE Transactions on Industrial Informatics     Hybrid Journal   (Followers: 10, SJR: 2.973, h-index: 59)
IEEE Transactions on Information Forensics and Security     Hybrid Journal   (Followers: 20, SJR: 1.86, h-index: 63)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 27, SJR: 1.433, h-index: 217)
IEEE Transactions on Instrumentation and Measurement     Hybrid Journal   (Followers: 61, SJR: 1.022, h-index: 79)
IEEE Transactions on Intelligent Transportation Systems     Hybrid Journal   (Followers: 8, SJR: 1.3, h-index: 82)
IEEE Transactions on Intelligent Vehicles     Hybrid Journal  
IEEE Transactions on Knowledge and Data Engineering     Hybrid Journal   (Followers: 33, SJR: 2.087, h-index: 119)
IEEE Transactions on Magnetics     Hybrid Journal   (Followers: 14, SJR: 0.602, h-index: 99)
IEEE Transactions on Medical Imaging     Hybrid Journal   (Followers: 23, SJR: 1.941, h-index: 165)
IEEE Transactions on Microwave Theory and Techniques     Hybrid Journal   (Followers: 29, SJR: 1.346, h-index: 148)
IEEE Transactions on Mobile Computing     Hybrid Journal   (Followers: 41, SJR: 1.826, h-index: 98)
IEEE Transactions on Molecular, Biological and Multi-Scale Communications     Hybrid Journal   (Followers: 1)
IEEE Transactions on Multi-Scale Computing Systems     Hybrid Journal  
IEEE Transactions on Multimedia     Hybrid Journal   (Followers: 13, SJR: 1.603, h-index: 88)
IEEE Transactions on Nanobioscience     Hybrid Journal   (Followers: 10, SJR: 0.572, h-index: 46)
IEEE Transactions On Nanotechnology     Hybrid Journal   (Followers: 36, SJR: 0.708, h-index: 61)
IEEE Transactions on Network and Service Management     Hybrid Journal   (Followers: 21, SJR: 1.021, h-index: 19)
IEEE Transactions on Neural Networks     Full-text available via subscription   (Followers: 26)
IEEE Transactions on Neural Systems and Rehabilitation Engineering     Hybrid Journal   (Followers: 8, SJR: 1.385, h-index: 97)
IEEE Transactions on Nuclear Science     Hybrid Journal   (Followers: 10, SJR: 0.732, h-index: 95)
IEEE Transactions on Parallel and Distributed Systems     Hybrid Journal   (Followers: 24, SJR: 1.59, h-index: 94)
IEEE Transactions on Pattern Analysis and Machine Intelligence     Hybrid Journal   (Followers: 66, SJR: 7.653, h-index: 264)
IEEE Transactions on Plasma Science     Hybrid Journal   (Followers: 10, SJR: 0.537, h-index: 83)
IEEE Transactions on Power Delivery     Hybrid Journal   (Followers: 18, SJR: 2.341, h-index: 126)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 60, SJR: 3.005, h-index: 160)
IEEE Transactions on Power Systems     Hybrid Journal   (Followers: 29, SJR: 4.126, h-index: 174)
IEEE Transactions on Professional Communication     Hybrid Journal   (Followers: 9, SJR: 0.632, h-index: 33)
IEEE Transactions on Reliability     Hybrid Journal   (Followers: 39, SJR: 1.93, h-index: 68)
IEEE Transactions on Robotics     Hybrid Journal   (Followers: 38, SJR: 2.884, h-index: 98)
IEEE Transactions on Semiconductor Manufacturing     Hybrid Journal   (Followers: 6, SJR: 0.64, h-index: 53)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 9)
IEEE Transactions on Signal Processing     Hybrid Journal   (Followers: 75, SJR: 2.004, h-index: 187)
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews     Full-text available via subscription   (Followers: 15)
IEEE Transactions on Systems, Man, and Cybernetics: Systems     Full-text available via subscription   (Followers: 12, SJR: 1.84, h-index: 10)
IEEE Transactions on Transportation Electrification     Hybrid Journal   (Followers: 1)
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control     Hybrid Journal   (Followers: 8, SJR: 0.91, h-index: 98)
IEEE Transactions on Vehicular Technology     Hybrid Journal   (Followers: 4, SJR: 1.203, h-index: 116)
IEEE Transactions on Very Large Scale Integration (VLSI) Systems     Hybrid Journal   (Followers: 22, SJR: 0.698, h-index: 78)
IEEE Transactions on Visualization and Computer Graphics     Hybrid Journal   (Followers: 24, SJR: 0.917, h-index: 92)
IEEE Transactions on Wireless Communications     Hybrid Journal   (Followers: 18, SJR: 2.34, h-index: 146)
IEEE Vehicular Technology Magazine     Full-text available via subscription   (Followers: 7, SJR: 0.897, h-index: 30)
IEEE Wireless Communications     Full-text available via subscription   (Followers: 42, SJR: 2.803, h-index: 112)
IEEE/ACM Transactions on Computational Biology and Bioinformatics     Hybrid Journal   (Followers: 17, SJR: 0.706, h-index: 43)
IEEE/ACM Transactions on Networking     Hybrid Journal   (Followers: 22, SJR: 1.795, h-index: 140)
IEEE/ASME Transactions on Mechatronics     Hybrid Journal   (Followers: 23, SJR: 2.305, h-index: 87)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 42, SJR: 3.285, h-index: 169)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 11, SJR: 1.388, h-index: 138)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 8)
IT Professional     Full-text available via subscription   (Followers: 18, SJR: 0.501, h-index: 31)
J. of Display Technology     Hybrid Journal   (Followers: 5, SJR: 0.956, h-index: 44)
J. of Lightwave Technology     Hybrid Journal   (Followers: 12, SJR: 2.006, h-index: 158)
J. of Microelectromechanical Systems     Hybrid Journal   (Followers: 31, SJR: 0.847, h-index: 114)
Learning Technologies, IEEE Transactions on     Hybrid Journal   (Followers: 14, SJR: 0.733, h-index: 28)
Magnetics Letters, IEEE     Hybrid Journal   (Followers: 7, SJR: 0.488, h-index: 11)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 31, SJR: 0.187, h-index: 9)
Neural Networks and Learning Systems, IEEE Transactions on     Hybrid Journal   (Followers: 38, SJR: 3.181, h-index: 149)
Optical Communications and Networking, IEEE/OSA J. of     Full-text available via subscription   (Followers: 14, SJR: 1.306, h-index: 35)
Photonics J., IEEE     Open Access   (Followers: 13, SJR: 1.233, h-index: 34)
Photovoltaics, IEEE J. of     Hybrid Journal   (Followers: 16, SJR: 1.968, h-index: 27)
Proceedings of the IEEE     Hybrid Journal   (Followers: 76, SJR: 1.586, h-index: 205)
Pulse     Full-text available via subscription   (Followers: 5, SJR: 0.311, h-index: 66)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE J. of     Hybrid Journal   (Followers: 51, SJR: 1.196, h-index: 37)
Services Computing, IEEE Transactions on     Hybrid Journal   (Followers: 5, SJR: 1.726, h-index: 36)
Smart Grid, IEEE Transactions on     Hybrid Journal   (Followers: 14, SJR: 4.784, h-index: 66)
Software Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 72, SJR: 1.543, h-index: 128)
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 12, SJR: 0.19, h-index: 7)
Sustainable Energy, IEEE Transactions on     Hybrid Journal   (Followers: 15, SJR: 3.646, h-index: 45)
Terahertz Science and Technology, IEEE Transactions on     Hybrid Journal   (Followers: 2, SJR: 1.079, h-index: 26)
Tsinghua Science & Technology     Hybrid Journal   (Followers: 1, SJR: 0.42, h-index: 24)
Wireless Communications Letters IEEE     Full-text available via subscription   (Followers: 22, SJR: 1.08, h-index: 21)
Women in Engineering Magazine, IEEE     Full-text available via subscription   (Followers: 13, SJR: 0.1, h-index: 1)

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Journal Cover IEEE Communications Magazine
  [SJR: 3.133]   [H-I: 170]   [85 followers]  Follow
   Full-text available via subscription Subscription journal
   ISSN (Print) 0163-6804
   Published by IEEE Homepage  [191 journals]
  • Cover 2
    • PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Cover 3
    • PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Cover 4
    • PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Comsoc Membership
    • Pages: 3 - 3
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • The President's Page
    • Authors: Harvey Freeman;
      Pages: 4 - 5
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Conference Calendar
    • Pages: 6 - 6
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Global Communications Newsletter
    • Authors: Fawzi Behmann;Kashif Bashir;Oleg Stukach;Leo Hwa Chiang;Ewell Tan;
      Pages: 7 - 10
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • IEEE Access
    • Pages: 11 - 11
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Green Communications and Computing Networks
    • Authors: Jinsong Wu;John Thompson;Honggang Zhang;RangaRao Venkatesha Prasad;Song Guo;
      Pages: 12 - 13
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Toward Big Data in Green City
    • Authors: Chunsheng Zhu;Huan Zhou;Victor C. M. Leung;Kun Wang;Yan Zhang;Laurence T. Yang;
      Pages: 14 - 18
      Abstract: Integrating sensors and cloud computing, sensor- cloud is a very powerful system for users to obtain big data in green city. In this article, toward big data in green city, we first review the latest work concerning big data and sensor-cloud, respectively. Further, we introduce three types of sensor-cloud (i.e., PSC, ASC, and SSC) for green city. Specifically, about PSC, participatory sensing is incorporated into sensor-cloud for sensing big data. In terms of ASC, an agent is incorporated into sensor-cloud for transmitting big data. For SSC, a social network is incorporated into sensor- cloud for sharing big data. Finally, the open research issues with respect to big data and sensor- cloud are discussed, respectively. We hope this article can serve as enlightening guidance for future research regarding big data in green city.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Big Data Analytics for Electric Vehicle Integration in Green Smart Cities
    • Authors: Boyang Li;Mithat C. Kisacikoglu;Chen Liu;Navjot Singh;Melike Erol-Kantarci;
      Pages: 19 - 25
      Abstract: The huge amount of data generated by devices, vehicles, buildings, the power grid, and many other connected things, coupled with increased rates of data transmission, constitute the big data challenge. Among many areas associated with the Internet of Things, smart grid and electric vehilces have their share of this challenge by being both producers and consumers (ie., prosumers) of big data. Electric vehicls can significantly help smart cities to become greener by reducing emissions of the transportation sector and play an important role in green smart cities. In this article, we first survey the data analytics techniques used for handling the big data of smart grid and electric vehicles. The data generated by electric vehicles come from sources that vary from sensors to trip logs. Once this vast amount of data are analyzed using big data techniques, they can be used to develop policies for siting charging stations, developing smart charging algorithms, solving energy efficiency issues, evaluating the capacity of power distribution systems to handle extra charging loads, and finally, determining the market value for the services provided by electric vehicles (i.e., vehicle-to-grid opportunities). This article provides a comprehensive overview of the data analytics landscape on the electric vehicle integration to green smart cities. It serves as a roadmap to the future data analytics needs and solutions for electric vehicle integration to smart cities.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Simultaneous Wireless Information and Power Transfer: Technologies,
           Applications, and Research Challenges
    • Authors: Jun Huang;Cong-Cong Xing;Chonggang Wang;
      Pages: 26 - 32
      Abstract: Energy efficiency will play a crucial role in future communication systems and has become a main design target for all 5G radio access networks. The high operational costs and impossibility of replacing or recharging wireless device batteries in multiple scenarios, such as wireless medical sensors inside the human body, call for a new technology by which wireless devices can harvest energy from the environment via capturing ambient RF signals. SWIPT has emerged as a powerful means to address this issue. In this article, we survey the current architectures and enabling technologies for SWIPT and identify technical challenges to implement SWIPT. Following an overview of enabling technologies for SWIPT and SWIPT-assisted wireless systems, we showcase a novel SWIPT-supported power allocation mechanism for D2D communications to illustrate the importance of the application of SWIPT. As an ending note, we point out some future research directions to encourage and motivate more research efforts on SWIPT.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Green Heterogeneous Cloud Radio Access Networks: Potential Techniques,
           Performance Trade-offs, and Challenges
    • Authors: Yuzhou Li;Tao Jiang;Kai Luo;Shiwen Mao;
      Pages: 33 - 39
      Abstract: As a flexible and scalable architecture, heterogeneous cloud radio access networks (H-CRANs) inject strong vigor into the green evolution of current wireless networks. But the brutal truth is that EE improves at the cost of other indices such as SE, fairness, and delay. It is thus important to investigate performance trade-offs for striking flexible balances between energy-efficient transmission and excellent QoS guarantees under this new architecture. In this article, we first propose some potential techniques to energy-efficiently operate H-CRANs by exploiting their features. We then elaborate the initial ideas of modeling three fundamental trade-offs, namely EE-SE, EE-fairness, and EE-delay trade-offs, when applying these green techniques, and present open issues and challenges for future investigation. These related results are expected to shed light on green operation of H-CRANs from adaptive resource allocation, intelligent network control, and scalable network planning.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Fully Exploiting Cloud Computing to Achieve a Green and Flexible C-RAN
    • Authors: Jianhua Tang;Ruihan Wen;Tony Q. S. Quek;Mugen Peng;
      Pages: 40 - 46
      Abstract: By merging cloud computing into the RAN, C-RAN has been foreseen as a prospective 5G wireless systems architecture. Due to the innovative move of migrating the baseband processing functionalities to the centralized cloud baseband unit pool, C-RAN is anticipated to reduce energy consumption significantly to be a green RAN. Moreover, with the cloud-based architecture, lots of new functionalities and RAN designs are ready to be incorporated, which redefines the RAN as a flexible RAN. In this article, we review the recent advances of exploiting cloud computing to form a green and flexible C-RAN from two cloud-based properties: centralized processing and the software-defined environment. For the centralized processing property, we include coordinated multipoint and limited fronthaul capacity, multicasting, and CSI issues in C-RAN. For the software-defined environment property, we summarize elastic service scaling, functionality splitting, and functionality extension. We also include some of our recent research results and discuss several open challenges.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Enhancing Energy Efficiency via Cooperative MIMO in Wireless Sensor
           Networks: State of the Art and Future Research Directions
    • Authors: Yuyang Peng;Fawaz Al-Hazemi;Raouf Boutaba;Fei Tong;Il-Sun Hwang;Chan-Hyun Youn;
      Pages: 47 - 53
      Abstract: CMIMO is an effective approach to increase throughput and energy efficiency through the collaboration of individual antennas working together as a virtual multi-antenna system. Several CMIMO strategies have been propounded as major candidates for achieving green communications in wireless sensor networks. Compared to conventional MIMO, CMIMO provides significant gains in terms of flexibility. Recently, more advanced cooperation strategies have been proposed to improve the performance of CMIMO by using emerging techniques such as spatial modulation and coding. Although some breakthroughs have been made in this area, the problem of how to accurately adopt these emerging techniques to model CMIMO is far from being fully understood. This article surveys several state-of-the-art CMIMO models for different scenarios, including data aggregated, multihop-based, and clustered schemes. Moreover, it discusses the implementation of CMIMO techniques, which are expected to be candidate techniques for green communications in modern applications. In the implementation, the trade-offs between energy efficiency and spectral efficiency, quality of service, fairness, and security are discussed. Several simulation results are given to show how emerging techniques in CMIMO design can lead to energy efficiency enhancement. Finally, some challenges and open issues that present future research directions are discussed.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Energy-Sustainable Traffic Steering for 5G Mobile Networks
    • Authors: Shan Zhang;Ning Zhang;Sheng Zhou;Jie Gong;Zhisheng Niu;Xuemin (Sherman) Shen;
      Pages: 54 - 60
      Abstract: Renewable EH technology is expected to be pervasively utilized in 5G mobile networks to support sustainable network developments and operations. However, the renewable energy supply is inherently random and intermittent, which could lead to energy outage, energy overflow, QoS degradation, and so on. Accordingly, how to enhance renewable energy sustainability is a critical issue for green networking. To this end, an energy-sustainable traffic steering framework is proposed in this article, where the traffic load is dynamically adjusted to match energy distributions in both the spatial and temporal domains by means of interand intra-tier steering, caching, and pushing. Case studies are carried out, which demonstrate that the proposed framework can reduce on-grid energy demand while satisfying QoS requirements. Research topics and challenges of energy-sustainable traffic steering are also discussed.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • IEEE Standards Education
    • Pages: 61 - 61
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • A Software-Defined Green Framework for Hybrid EV-Charging Networks
    • Authors: Yanfei Sun;Xiaoxuan Hu;Xiulong Liu;Xiaoming He;Kun Wang;
      Pages: 62 - 69
      Abstract: EVs provide a promising green solution to reduce dependence on fossil fuel and the emission of greenhouse gas. This article concerns hybrid EV systems that contain both wired charging and wireless charging vehicles. To the best of our knowledge, we are the first to discuss how to jointly use these two types of charging methods whose advantages are complementary to each other; for example, wireless charging has better user friendliness and flexibility, while wired charging can provide higher charging efficiency and bidirectional energy transmission. We believe such a hybrid system can benefit us much more than either a pure wireless or pure wired EV charging system. On the other hand, we also pay attention to a practically important problem with DSM. The existing schemes can hardly ensure efficient and stable charging services in the foreseeable future due to the rapidly increasing number of electric vehicles and the limited capacity of local grids. To address this issue, we propose a software-defined green framework for hybrid EV charging networks, which consists of three planes: the application plane provides customized services for users; the control plane aims to guide both data flow and energy flow to implement an efficient and economic strategy for EV charging; and the physical plane collects the information from a large number of EVs and other infrastructures. Furthermore, we present a DSM approach for EV charging as a case study. Simulation results reveal that our proposals could achieve delightful DSM performance in the proposed software-defined EV charging networks. Although the proposed hybrid framework offers promising opportunities, we still face some technical challenges that solicit further research efforts from both academia and industry, which are discussed in detail at the end of this article.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Human-Driven Edge Computing and Communication: Part 1
    • Authors: Jiannong Cao;Aniello Castiglione;Giovanni Motta;Florin Pop;Yanjiang Yang;Wanlei Zhou;
      Pages: 70 - 71
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Follow Me Fog: Toward Seamless Handover Timing Schemes in a Fog Computing
    • Authors: Wei Bao;Dong Yuan;Zhengjie Yang;Shen Wang;Wei Li;Bing Bing Zhou;Albert Y. Zomaya;
      Pages: 72 - 78
      Abstract: Equipped with easy-to-access micro computation access points, the fog computing architecture provides low-latency and ubiquitously available computation offloading services to many simple and cheap Internet of Things devices with limited computing and energy resources. One obstacle, however, is how to seamlessly hand over mobile IoT devices among different computation access points when computation offloading is in action so that the offloading service is not interrupted -- especially for time-sensitive applications. In this article, we propose Follow Me Fog (FMF), a framework supporting a new seamless handover timing scheme among different computation access points. Intrinsically, FMF supports a job pre-migration mechanism, which pre-migrates computation jobs when the handover is expected to happen. Such expectations can be indicated by constantly monitoring received signal strengths. Then we present the design and a prototype implementation of FMF. Our evaluation results demonstrate that FMF can achieve a substantial latency reduction (36.5 percent in our experiment). In conclusion, the FMF design clears a core obstacle, allowing fog computing to provide interruption-resistant services to mobile IoT devices.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • A Cloud-Edge Computing Framework for Cyber-Physical-Social Services
    • Authors: Xiaokang Wang;Laurence T. Yang;Xia Xie;Jirong Jin;M. Jamal Deen;
      Pages: 80 - 85
      Abstract: Cyber-physical-social systems (CPSSs) represent an emerging paradigm encompassing the cyber world, physical world and social world. One of the main purposes of CPSSs is to provide high-quality, proactive, and personalized services for humans. For CPSSs to realize this purpose, a novel services framework is needed. In this article, we present a tensor-based cloud-edge computing framework that mainly includes the cloud and edge planes. The cloud plane is used to process large-scale, long-term, global data, which can be used to obtain decision making information such as the feature, law, or rule sets. The edge plane is used to process small-scale, short-term, local data, which is used to present the real-time situation. Also, personalized services will be directly provided for humans by the edge plane according to the obtained feature, law, or rule sets and the local high-quality data obtained in the edge plane. Then a tensor-based services model is proposed to match the requirement of users in the local CPSS. Finally, a case study about CPSS services is proposed to demonstrate the application features of the proposed framework.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Improving Opportunistic Networks by Leveraging Device-to-Device
    • Authors: Radu-Corneliu Marin;Radu-Ioan Ciobanu;Ciprian Dobre;
      Pages: 86 - 91
      Abstract: Several popular low-level device-to-device techniques, such as Bluetooth and Wi-Fi Direct, are seen today as enablers for 5G mobile networks, as the communication infrastructure for future Internet of Things systems. However, most of these technologies do not support direct overthe- air communication between end users/devices. Opportunistic networks propose the use of delay-tolerant and wireless communication over such technologies, toward routing messages between end users. In our previous studies, we have shown how taking advantage of the existing Wi-Fi infrastructure leads to high hit rates and low latency based on the increased wireless range coupled with high bandwidth. In this article, we extend our proposed architecture for covering infrastructure-less environments through a novel mechanism that allows connecting peers through Wi-Fi Direct in a seamless and secure fashion. Furthermore, we emulate real-life user traces to empirically prove that our solution improves hit rate by 13 percent without impacting battery life.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Efficient Next Generation Emergency Communications over Multi-Access Edge
    • Authors: Evangelos K. Markakis;Ilias Politis;Asimakis Lykourgiotis;Yacine Rebahi;George Mastorakis;Constandinos X. Mavromoustakis;Evangelos Pallis;
      Pages: 92 - 97
      Abstract: Traditionally, emergency communications between citizens and public authorities relied on legacy telecommunication technologies unable to cope with the agile, rich-media-content communications that mobile users are already using. This is due to the lack of harmonization and interoperable IP-based networking solutions. With the operators currently migrating to broadband IP infrastructures, emergency systems also need to follow this path and adapt their emergency communication platforms to fulfill next generation emergency services regulatory requirements. This becomes even more evident in light of the forthcoming 5G networks, which are envisioned to support an amalgam of diverse applications and services with heterogeneous performance requirements, including mission-critical IoT communication, massive machine-type communication, and gigabit mobile connectivity. Emergency service operators face an enormous challenge in order to synchronize their model of operation with the 5G paradigm. This article studies the challenges that next generation emergency services need to overcome in order to fulfill the requirements for rich-content, real-time, location-specific communications. The concept for next generation emergency communications as described in the project EMYNOS is presented, along with a vision of how this concept can fulfill the 5G requirements for ultra-reliable and ultra-low-latency emergency communications.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Pseudo-Dynamic Testing of Realistic Edge-Fog Cloud Ecosystems
    • Authors: Massimo Ficco;Christian Esposito;Yang Xiang;Francesco Palmieri;
      Pages: 98 - 104
      Abstract: Currently, our society is undergoing a radical change due to the increasing pervasive use of ICT within all of its processes. Such an evolution has been triggered by the advent of the Internet of Things vision, where smart sensing devices can be integrated in the daily objects surrounding any human being. The increasing demand of dealing with the big data generated, managed, and stored by the applications built on top of such novel sensory networks has called for innovative architectures, such as edge and fog computing, which have not yet been fully standardized. Considering the large scale and complexity of these architectures, testing a software artifact to be deployed in the nodes composing an edge-fog ecosystem could be extremely challenging. Pure simulated environments and real testbeds could be not representative enough of realistic scenarios or unacceptably expensive. We explore such issues and present a pseudo-dynamic testing approach, where a portion of the experimental scenario is simulated, while the edge and fog nodes under test are emulated or executed in a real environment.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Vehicular Fog Computing: Architecture, Use Case, and Security and Forensic
    • Authors: Cheng Huang;Rongxing Lu;Kim-Kwang Raymond Choo;
      Pages: 105 - 111
      Abstract: Vehicular fog computing extends the fog computing paradigm to conventional vehicular networks. This allows us to support more ubiquitous vehicles, achieve better communication efficiency, and address limitations in conventional vehicular networks in terms of latency, location awareness, and real-time response (typically required in smart traffic control, driving safety applications, entertainment services, and other applications). Such requirements are particularly important in adversarial environments (e.g., urban warfare and battlefields in the Internet of Battlefield Things involving military vehicles). However, there is no one widely accepted definition for vehicular fog computing and use cases. Thus, in this article, we formalize the vehicular fog computing architecture and present a typical use case in vehicular fog computing. Then we discuss several key security and forensic challenges and potential solutions.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Network Services Chaining in the 5G Vision
    • Authors: Jordi Mongay Batalla;George Mastorakis;Constandinos X. Mavromoustakis;Ciprian Dobre;Naveen Chilamkurti;Stefan Schaeckeler;
      Pages: 112 - 113
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Network Service Chaining in Fog and Cloud Computing for the 5G
           Environment: Data Management and Security Challenges
    • Authors: Rajat Chaudhary;Neeraj Kumar;Sherali Zeadally;
      Pages: 114 - 122
      Abstract: In the last few years, we have seen an exponential increase in the number of Internet-enabled devices, which has resulted in popularity of fog and cloud computing among end users. End users expect high data rates coupled with secure data access for various applications executed either at the edge (fog computing) or in the core network (cloud computing). However, the bidirectional data flow between the end users and the devices located at either the edge or core may cause congestion at the cloud data centers, which are used mainly for data storage and data analytics. The high mobility of devices (e.g., vehicles) may also pose additional challenges with respect to data availability and processing at the core data centers. Hence, there is a need to have most of the resources available at the edge of the network to ensure the smooth execution of end-user applications. Considering the challenges of future user demands, we present an architecture that integrates cloud and fog computing in the 5G environment that works in collaboration with the advanced technologies such as SDN and NFV with the NSC model. The NSC service model helps to automate the virtual resources by chaining in a series for fast computing in both computing technologies. The proposed architecture also supports data analytics and management with respect to device mobility. Moreover, we also compare the core and edge computing with respect to the type of hypervisors, virtualization, security, and node heterogeneity. By focusing on nodes' heterogeneity at the edge or core in the 5G environment, we also present security challenges and possible types of attacks on the data shared between different devices in the 5G environment.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Software Defined Network Service Chaining for OTT Service Providers in 5G
    • Authors: Eftychia Datsika;Angelos Antonopoulos;Nizar Zorba;Christos Verikoukis;
      Pages: 124 - 131
      Abstract: The fifth generation wireless networks are expected to offer high capacity and accommodate numerous over-the-top applications, relying on users' Internet connectivity, thus involving different stakeholders, that is, network service providers and over-the-top service providers. For the efficient management of over-the-top application flows, the implementation of service functions and their interconnection in service chains, namely network service chaining, should consider the over-the-top service providers' performance goals and user management strategies. However, in current wireless network deployments, the network service providers have full control of network service chaining. Considering that user satisfaction from the offered services is a common interest for both types of stakeholders, the over-the-top service providers need to participate in network service chaining, and apply QoS and user prioritization policies to network service chain resource management, which involves users connected at different network points, in a distributed manner. In this article, we describe 5G network management architectures and propose virtualization components that enable over-the-top service-provider- oriented network service. We also outline the arising issues for over-the-top service providers in network service chaining and introduce a distributed prioritization network service chain management scheme for over-the-top application flows, based on matching theory. The evaluation results indicate the performance gains in overthe- top service providers' service levels that stem from the proposed scheme, demonstrating the benefits of introducing prioritization in network service chain deployment.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • A Lifetime-Enhanced Data Collecting Scheme for the Internet of Things
    • Authors: Tie Qiu;Ruixuan Qiao;Min Han;Arun Kumar Sangaiah;Ivan Lee;
      Pages: 132 - 137
      Abstract: A backpressure-based data collecting scheme has been applied in the Internet of Things, which can control the network congestion effectively and increase the network throughput. However, there is an obvious shortcoming in the traditional backpressure data collecting scheme for the network service chain. It attempts to search all possible paths between source node and destination node in the networks, causing an unnecessary long path for data collection, which results in large end-toend delay and redundant energy consumption. To address this shortcoming of backpressure data collecting scheme in the Internet of Things, this article proposes an energy-aware and distance-aware data collecting scheme to enhance the lifetime of backpressure-based data collecting schemes. We propose an energy- and distance-based model that combines the factors of queue backlog, hop counts, and residual energy for making routing decisions. It not only reduces the unnecessary energy consumption, but also balances the residual energy. The experiment results show that the proposed scheme can reduce unnecessary energy consumption and end-to-end delay compared to the traditional and LIFO-based schemes. Meanwhile, it balances the energy of nodes and extends the lifetime of an Internet of Things.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Bringing Computation Closer toward the User Network: Is Edge Computing the
    • Authors: Ejaz Ahmed;Arif Ahmed;Ibrar Yaqoob;Junaid Shuja;Abdullah Gani;Muhammad Imran;Muhammad Shoaib;
      Pages: 138 - 144
      Abstract: The virtually unlimited available resources and wide range of services provided by the cloud have resulted in the emergence of new cloud-based applications, such as smart grids, smart building control, and virtual reality. These developments, however, have also been accompanied by a problem for delay-sensitive applications that have stringent delay requirements. The current cloud computing paradigm cannot realize the requirements of mobility support, location awareness, and low latency. Hence, to address the problem, an edge computing paradigm that aims to extend the cloud resources and services and enable them to be nearer the edge of an enterprise's network has been introduced. In this article, we highlight the significance of edge computing by providing real-life scenarios that have strict constraint requirements on application response time. From the previous literature, we devise a taxonomy to classify the current research efforts in the domain of edge computing. We also discuss the key requirements that enable edge computing. Finally, current challenges in realizing the vision of edge computing are discussed.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Cognitive Radio Network and Network Service Chaining toward 5G: Challenges
           and Requirements
    • Authors: Ioanna Kakalou;Kostas E. Psannis;Piotr Krawiec;Radu Badea;
      Pages: 145 - 151
      Abstract: Cognitive radio is a promising technology that answers the spectrum scarcity problem arising from the growth of usage of wireless networks and mobile services. Cognitive radio network edge computing will enhance the CRN capabilities and, along with some adjustments in its operation, will be a key technology for 5G heterogeneous network deployment. This article presents current requirements and challenges in CRN, and a review of the limited research work on the CRN cloud, which will take off CRN capabilities and 5G network requirements and challenges. The article proposes a cognitive radio edge computing access server deployment for network service chaining at the access layer level.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Computing, Caching, and Communication at the Edge: The Cornerstone for
           Building a Versatile 5G Ecosystem
    • Authors: Evangelos K. Markakis;Kimon Karras;Anargyros Sideris;George Alexiou;Evangelos Pallis;
      Pages: 152 - 157
      Abstract: This article presents a unified computing, caching, and communication (3C) solution for the upcoming 5G environment that will allow service, content, and function providers to deploy their services/ content/functions near the end users (EUs); to allow network providers to virtually deploy their connectivity services over commodity hardware; and to enable end users to renounce their role as passive 5G stakeholders and become active ones by offering their 3C resources to the 5G ecosystem. In this direction, we foresee the exploitation of a peer-topeer- like middleware/app solution that upon installation will enhance the end user devices with the ability to form virtual fogs capable of providing their 3C resources to the 5G ecosystem. Additionally, we propose the introduction of heterogeneous nodes (e.g., FPGAs and GPUs) at the networks edge, which will boost the processing capabilities without paying a premium in power consumption. This will enable efficient and thorough filtering of the information that makes it all the way up to the cloud. In summary, this article proposes an architecture that exploits and advances the edge and extreme edge 3C paradigms toward enabling the 5G ecosystem to meet its own criterion for low end-to-end latencies and, as such, enable it to provide and sustain high QoS/QoE levels.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Communications Education & Training: Scholarship of Research and
           Supervision in Communications
    • Authors: Dave Michelson;Peter Ostafich;Carolyn Ottman;
      Pages: 158 - 158
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Combining Teaching and Research through Barcode Experiments
    • Authors: Xinbing Wang;Jiaqi Liu;Zhe Yang;Junfa Mao;Luoyi Fu;Xiaoying Gan;Xiaohua Tian;
      Pages: 159 - 165
      Abstract: A core mission of university education is to train students' problem solving abilities, or in some cases, students' research skills. To achieve this, educators assign students certain experiment courses, where students complete a task following preset procedures. However, such courses often employ outdated teaching materials that are far from cutting-edge problems. Meanwhile, a preset experiment procedure cannot evoke students' innovations. In this article we introduce an experimental course we opened at Shanghai Jiao Tong University for junior-year students -- the Research-Oriented Course (ROC). ROC is based on a cutting-edge research project and includes an Introduction -- Demonstration -- Research -- Evaluation four-phase course as well as the T -- W -- R three-dimensional evaluation criteria. Evaluations showed that students finished their research tasks satisfactorily and they improved their research skills through this process.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Incorporating Experiential Learning in Engineering Courses
    • Authors: Atousa Hajshirmohammadi;
      Pages: 166 - 169
      Abstract: In recent years, "experiential learning" as a method of delivering course material has become more recognized in university education. This article is a report on a project conducted in the School of Engineering Science at Simon Fraser University that incorporates experiential learning in a lower division course. The course is a firstyear, common core course in logic circuits. At the time that this project was implemented, the course did not have any lab components attached to it; therefore, incorporating experiential learning into the course was even more challenging. In this article, an example of an assignment given to students that incorporates experiential learning is presented, and the results of students' feedback on this method of learning compared to the conventional method are summarized. A similar approach can be applied to other subjects in engineering, even without requiring a laboratory component in the course. This article also provides example applications for analog and digital communication courses.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Insights into Students' Conceptual Understanding of Operating Systems: A
           Four-Year Case Study in Online Education
    • Authors: Sonia Pamplona;Isaac Seoane;Javier Bravo-Agapito;Nelson Medinilla;
      Pages: 170 - 177
      Abstract: For decades, instructors and researchers have been trying to improve or enhance the learning process of students. In this process, it is important to know whether students have misconceptions in their conceptual understanding. The study of these elements is becoming a relevant research area in science and engineering education. This article provides insights into why students have misconceptions in an online course on operating systems. Specifically, this study presents a four-year qualitative case study of 78 online students in order to identify misconceptions and the causes that generate them. Our results indicate that students experienced misconceptions with the concept of interrupt. In fact, this study reveals that the natural-language meaning of the term interrupt is a hindrance to understanding this concept. In addition, a methodology for discovering misconceptions and their causes is developed.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • The iLab Concept: Making Teaching Better, at Scale
    • Authors: Marc-Oliver Pahl;
      Pages: 178 - 185
      Abstract: Lab courses are a great setting to teach. However, to result in a successful learning experience, they often require teachers to spend a significant amount of time. This article reports about how lab courses can be implemented for efficiently supporting learners while significantly reducing the workload of teachers. The presented iLab concept consists of a blended learning teaching methodology and the labsystem eLearning platform that was especially designed for supporting the teaching methodology. Applying the concept results in students and teachers not having to spend time on surrounding tasks that produce overhead, but instead being able to focus on learning and teaching. The iLab concept enables teaching more content in less time. It especially reduces the workload on teachers, making lab courses scale. The iLab concept shows very good learning results with more than 1500 students between 2004 and 2017. The iLab concept was originally developed for teaching students about computer networks and distributed systems. In the meantime, it was successfully used in other domains such as training future teachers.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • A Withered Tree Comes to Life Again: Enabling In-Network Caching in the
           Traditional IP Network
    • Authors: Kaiping Xue;Tingting Hu;Xiang Zhang;Peilin Hong;David S.L. Wei;Feng Wu;
      Pages: 186 - 193
      Abstract: This article presents our work proposing in-network caching in IP-based networks by adding a content identifier into a newly defined IPv6 extension header, where the new architecture is named CAIP. CAIP abandons the complicated name-based forwarding table in ICN, and instead integrates IP routing lookup with cache index lookup, which is compatible with the IP network and also inherits the proven advantages of ICN. Cache index exchanging and cooperative caching are implemented between one-hop CAIP enabled neighboring routers, which is simple but efficient. Moreover, for per-chunk caching, as an extension, bitmap is introduced to merge multiple request packets into one. Performance analysis shows that CAIP gains significant performance improvement in terms of access delay and traffic load.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Performance Study on Seamless DA2GC for Aircraft Passengers toward 5G
    • Authors: Michal Vondra;Ergin Dinc;Mikael Prytz;Magnus Frodigh;Dominic Schupke;Mats Nilson;Sandra Hofmann;Cicek Cavdar;
      Pages: 194 - 201
      Abstract: Mobile users seek ubiquitous broadband connectivity even during a flight above the clouds. As many passengers are expected to be connected to high-speed Internet, robust and high-capacity direct air-to-ground communication (DA2GC) to connect the aircraft with the ground cellular network is particularly attractive. In this article, we assess the capacity limitations of DA2GC links provided to an aircraft by employing currently available 4G radio technologies. Further, we study different capacity enhancement techniques toward 5G such as an implementation of Multi-User Multiple Input Multiple Output (MU-MIMO) or coordinated beamsteering to improve DA2GC capacity. We also compare DA2GC performance with connectivity offered by satellites. According to our results, a DA2GC network extended with techniques toward 5G can increase the capacity available per aircraft by nearly 100 Mb/s in comparison with the 4G DA2GC network, assuming 20 MHz bandwidth is exploited. Although the maximum capacity provided by the 5G DA2GC network and satellite communication is the same, satellite communication exhibits only 40 Mb/s for 10000 deployed satellites on average. To motivate future investigation in this field, this article also outlines open challenges and research directions toward more efficient DA2GC.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
  • Self-Sustaining Caching Stations: Toward Cost-Effective 5G-Enabled
           Vehicular Networks
    • Authors: Shan Zhang;Ning Zhang;Xiaojie Fang;Peng Yang;Xuemin Sherman Shen;
      Pages: 202 - 208
      Abstract: In this article, we investigate cost-effective 5G-enabled vehicular networks to support emerging vehicular applications, such as autonomous driving, in-car infotainment and location-based road services. To this end, self-sustaining caching stations (SCSs) are introduced to liberate on-road base stations from the constraints of power lines and wired backhauls. Specifically, the cache-enabled SCSs are powered by renewable energy and connected to core networks through wireless backhauls, which can realize "drop-and-play" deployment, green operation, and low-latency services. With SCSs integrated, a 5G-enabled heterogeneous vehicular networking architecture is further proposed, where SCSs are deployed along the roadside for traffic offloading while conventional MBSs provide ubiquitous coverage to vehicles. In addition, a hierarchical network management framework is designed to deal with high dynamics in vehicular traffic and renewable energy, where content caching, energy management and traffic steering are jointly investigated to optimize the service capability of SCSs with balanced power demand and supply in different time scales. Case studies are provided to illustrate SCS deployment and operation designs, and some open research issues are also discussed.
      PubDate: NOVEMBER 2017
      Issue No: Vol. 55, No. 11 (2017)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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