A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications

As the explosive growth of smart devices and the advent of many new applications, traffic volume has been growing exponentially. The traditional centralized network architecture cannot accommodate such user demands due to heavy burden on the backhaul links and long latency. Therefore, new architectures, which bring network functions and contents to the network edge, are proposed, i.e., mobile edge computing and caching. Mobile edge networks provide cloud computing and caching capabilities at the edge of cellular networks. In this survey, we make an exhaustive review on the state-of-the-art research efforts on mobile edge networks. We first give an overview of mobile edge networks, including definition, architecture, and advantages. Next, a comprehensive survey of issues on computing, caching, and communication techniques at the network edge is presented. The applications and use cases of mobile edge networks are discussed. Subsequently, the key enablers of mobile edge networks, such as cloud technology, SDN/NFV, and smart devices are discussed. Finally, open research challenges and future directions are presented as well.

[1]  Zhu Han,et al.  Caching based socially-aware D2D communications in wireless content delivery networks: a hypergraph framework , 2016, IEEE Wireless Communications.

[2]  Bruno Sousa,et al.  Edge caching with mobility prediction in virtualized LTE mobile networks , 2017, Future Gener. Comput. Syst..

[3]  Victor C. M. Leung,et al.  Communications, caching, and computing oriented small cell networks with interference alignment , 2016, IEEE Communications Magazine.

[4]  Giovanni Stea,et al.  Mobile-Edge Computing Come Home Connecting things in future smart homes using LTE device-to-device communications , 2016, IEEE Consumer Electronics Magazine.

[5]  Wenbo Wang,et al.  User access mode selection in fog computing based radio access networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[6]  Olli Mäkinen,et al.  Streaming at the Edge: Local Service Concepts Utilizing Mobile Edge Computing , 2015, NGMAST.

[7]  Ying Gao,et al.  Quantifying the Impact of Edge Computing on Mobile Applications , 2016, APSys.

[8]  Mahmoud Al-Ayyoub,et al.  SDMEC: Software Defined System for Mobile Edge Computing , 2016, 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW).

[9]  Walid Saad,et al.  Cache-aware user association in backhaul-constrained small cell networks , 2014, 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

[10]  Deniz Gündüz,et al.  Learning-based optimization of cache content in a small cell base station , 2014, 2014 IEEE International Conference on Communications (ICC).

[11]  Wenzhong Li,et al.  Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing , 2015, IEEE/ACM Transactions on Networking.

[12]  Kaibin Huang,et al.  Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading , 2016, IEEE Transactions on Wireless Communications.

[13]  Dong Liu,et al.  Caching at the wireless edge: design aspects, challenges, and future directions , 2016, IEEE Communications Magazine.

[14]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[15]  Mehdi Bennis,et al.  Leveraging Big Data Analytics for Cache-Enabled Wireless Networks , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[16]  László Böszörményi,et al.  A survey of Web cache replacement strategies , 2003, CSUR.

[17]  Lin Wang,et al.  Distributed edge caching scheme considering the tradeoff between the diversity and redundancy of cached content , 2015, 2015 IEEE/CIC International Conference on Communications in China (ICCC).

[18]  Antonio Pescapè,et al.  On the Integration of Cloud Computing and Internet of Things , 2014, 2014 International Conference on Future Internet of Things and Cloud.

[19]  Ke Zhang,et al.  Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks , 2016, IEEE Access.

[20]  Wei Wang,et al.  Distributed cache replacement for caching-enable base stations in cellular networks , 2014, 2014 IEEE International Conference on Communications (ICC).

[21]  Prem Prakash Jayaraman,et al.  Opportunistic Computation Offloading in Mobile Edge Cloud Computing Environments , 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM).

[22]  Mehdi Bennis,et al.  Cache-enabled small cell networks: modeling and tradeoffs , 2014, EURASIP Journal on Wireless Communications and Networking.

[23]  Rajkumar Buyya,et al.  Fog Computing: Helping the Internet of Things Realize Its Potential , 2016, Computer.

[24]  Giuseppe Carella,et al.  Efficient Exploitation of Mobile Edge Computing for Virtualized 5G in EPC Architectures , 2016, 2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud).

[25]  Meng Zhang,et al.  A Survey of Caching Mechanisms in Information-Centric Networking , 2015, IEEE Communications Surveys & Tutorials.

[26]  Ciprian Dobre,et al.  Big Data and Internet of Things: A Roadmap for Smart Environments , 2014, Big Data and Internet of Things.

[27]  Min Chen,et al.  Mobility-Aware Caching and Computation Offloading in 5G Ultra-Dense Cellular Networks , 2016, Sensors.

[28]  Wenye Wang,et al.  Can mobile cloudlets support mobile applications? , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[29]  Rodrigo Roman,et al.  Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges , 2016, Future Gener. Comput. Syst..

[30]  Xing Zhang,et al.  An Approach for Spatial-Temporal Traffic Modeling in Mobile Cellular Networks , 2015, 2015 27th International Teletraffic Congress.

[31]  Dong Liu,et al.  Cache-enabled heterogeneous cellular networks: Comparison and tradeoffs , 2016, 2016 IEEE International Conference on Communications (ICC).

[32]  Gang Feng,et al.  Optimal Cooperative Content Caching and Delivery Policy for Heterogeneous Cellular Networks , 2017, IEEE Transactions on Mobile Computing.

[33]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[34]  Zdenek Becvar,et al.  Cloud‐aware power control for real‐time application offloading in mobile edge computing , 2016, Trans. Emerg. Telecommun. Technol..

[35]  Bin Xia,et al.  Modeling and Analysis for Cache-Enabled Networks With Dynamic Traffic , 2016, IEEE Communications Letters.

[36]  Mung Chiang,et al.  Fog Networking: An Overview on Research Opportunities , 2016, ArXiv.

[37]  Rahim Tafazolli,et al.  In-network caching of Internet-of-Things data , 2014, 2014 IEEE International Conference on Communications (ICC).

[38]  Anass Benjebbour,et al.  Design considerations for a 5G network architecture , 2014, IEEE Communications Magazine.

[39]  Chedia Jarray,et al.  The effects of mobility on the hit performance of cached D2D networks , 2016, 2016 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

[40]  Johan Tordsson,et al.  How Beneficial Are Intermediate Layer Data Centers in Mobile Edge Networks? , 2016, 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W).

[41]  Sergio Barbarossa,et al.  The Fog Balancing: Load Distribution for Small Cell Cloud Computing , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[42]  Zhuo Chen,et al.  Edge Analytics in the Internet of Things , 2015, IEEE Pervasive Computing.

[43]  Konstantinos Poularakis,et al.  Multicast-aware caching for small cell networks , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[44]  Khaled Ben Letaief,et al.  Delay-optimal computation task scheduling for mobile-edge computing systems , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

[45]  Osvaldo Simeone,et al.  Harnessing cloud and edge synergies: toward an information theory of fog radio access networks , 2016, IEEE Communications Magazine.

[46]  Hubertus Feussner,et al.  Enabling Real-Time Context-Aware Collaboration through 5G and Mobile Edge Computing , 2015, 2015 12th International Conference on Information Technology - New Generations.

[47]  Khaled A. Harras,et al.  Friend or Foe? Detecting and Isolating Malicious Nodes in Mobile Edge Computing Platforms , 2015, 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom).

[48]  Khaled Ben Letaief,et al.  Mobility-aware caching for content-centric wireless networks: modeling and methodology , 2016, IEEE Communications Magazine.

[49]  Xiaofei Wang,et al.  Cache in the air: exploiting content caching and delivery techniques for 5G systems , 2014, IEEE Communications Magazine.

[50]  Khaled A. Harras,et al.  Femto Clouds: Leveraging Mobile Devices to Provide Cloud Service at the Edge , 2015, 2015 IEEE 8th International Conference on Cloud Computing.

[51]  Hakima Chaouchi,et al.  Privacy using mobile cloud computing , 2015, 2015 Fifth International Conference on Digital Information and Communication Technology and its Applications (DICTAP).

[52]  Haiyun Luo,et al.  Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel , 2013, IEEE Transactions on Wireless Communications.

[53]  Khaled Ben Letaief,et al.  Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices , 2016, IEEE Journal on Selected Areas in Communications.

[54]  G. Klas,et al.  Fog Computing and Mobile Edge Cloud Gain Momentum Open Fog Consortium, ETSI MEC and Cloudlets , 2015 .

[55]  Zhisheng Niu,et al.  Pricing policy and computational resource provisioning for delay-aware mobile edge computing , 2016, 2016 IEEE/CIC International Conference on Communications in China (ICCC).

[56]  Xavier Masip-Bruin,et al.  Handling service allocation in combined Fog-cloud scenarios , 2016, 2016 IEEE International Conference on Communications (ICC).

[57]  Ke Xu,et al.  A Survey of Research on Mobile Cloud Computing , 2011, 2011 10th IEEE/ACIS International Conference on Computer and Information Science.

[58]  Konstantinos Poularakis,et al.  Exploiting user mobility for wireless content delivery , 2013, 2013 IEEE International Symposium on Information Theory.

[59]  Antonella Molinaro,et al.  Toward 5G densenets: architectural advances for effective machine-type communications over femtocells , 2015, IEEE Communications Magazine.

[60]  Michele Garetto,et al.  Temporal Locality in Today's Content Caching: Why it Matters and How to Model it , 2013 .

[61]  Nei Kato,et al.  Toward intelligent machine-to-machine communications in smart grid , 2011, IEEE Communications Magazine.

[62]  He Chen,et al.  Pricing and Resource Allocation via Game Theory for a Small-Cell Video Caching System , 2016, IEEE Journal on Selected Areas in Communications.

[63]  A. Benjebbour,et al.  Design considerations for a 5G network architecture , 2014, IEEE Communications Magazine.

[64]  S. RaijaSulthana Distributed caching algorithms for content distribution networks , 2015 .

[65]  Martin Maier,et al.  Mobile-edge computing vs. centralized cloud computing in fiber-wireless access networks , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[66]  Min Sheng,et al.  Mobile-Edge Computing: Partial Computation Offloading Using Dynamic Voltage Scaling , 2016, IEEE Transactions on Communications.

[67]  Mehdi Bennis,et al.  Living on the edge: The role of proactive caching in 5G wireless networks , 2014, IEEE Communications Magazine.

[68]  Raja Lavanya,et al.  Fog Computing and Its Role in the Internet of Things , 2019, Advances in Computer and Electrical Engineering.

[69]  Qun Li,et al.  Security and Privacy Issues of Fog Computing: A Survey , 2015, WASA.

[70]  Haixia Mao,et al.  A Survey of Mobile Cloud Computing , 2011 .

[71]  Zhou Yiqing,et al.  Video Content Redundancy Elimination Based on the Convergence of Computing, Communication and Cache , 2016 .

[72]  Marimuthu Palaniswami,et al.  WAKE: Key management scheme for wide-area measurement systems in smart grid , 2013, IEEE Communications Magazine.

[73]  Dong Liu,et al.  Will caching at base station improve energy efficiency of downlink transmission? , 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[74]  Ke Zhang,et al.  Delay constrained offloading for Mobile Edge Computing in cloud-enabled vehicular networks , 2016, 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM).

[75]  Tao Zhang,et al.  Fog and IoT: An Overview of Research Opportunities , 2016, IEEE Internet of Things Journal.

[76]  Mazliza Othman,et al.  A Survey of Mobile Cloud Computing Application Models , 2014, IEEE Communications Surveys & Tutorials.

[77]  Claudia Linnhoff-Popien,et al.  ME-VoLTE: Network functions for energy-efficient video transcoding at the mobile edge , 2015, 2015 18th International Conference on Intelligence in Next Generation Networks.

[78]  Mahadev Satyanarayanan,et al.  Mobile computing: the next decade , 2010, MCS '10.

[79]  Byounghoon Kim,et al.  Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading (Extended Version) , 2016 .

[80]  Eugene Marinelli,et al.  Hyrax: Cloud Computing on Mobile Devices using MapReduce , 2009 .

[81]  Xiaohui Liang,et al.  EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications , 2012, IEEE Transactions on Parallel and Distributed Systems.

[82]  Ejaz Ahmed,et al.  A survey on mobile edge computing , 2016, 2016 10th International Conference on Intelligent Systems and Control (ISCO).

[83]  Xuemin Shen,et al.  Proactive Caching for Mobile Video Streaming in Millimeter Wave 5G Networks , 2016, IEEE Transactions on Wireless Communications.

[84]  Hao Hu,et al.  Improving Web Sites Performance Using Edge Servers in Fog Computing Architecture , 2013, 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering.

[85]  Jan Markendahl,et al.  Device-to-device communications and small cells: enabling spectrum reuse for dense networks , 2014, IEEE Wireless Communications.

[86]  Tarik Taleb,et al.  Machine-type communications: current status and future perspectives toward 5G systems , 2015, IEEE Communications Magazine.

[87]  Stefan Weber,et al.  A Survey of Caching Policies and Forwarding Mechanisms in Information-Centric Networking , 2016, IEEE Communications Surveys & Tutorials.

[88]  F. Richard Yu,et al.  A survey of energy-efficient caching in information-centric networking , 2014, IEEE Communications Magazine.

[89]  Sujit Dey,et al.  Video-Aware Scheduling and Caching in the Radio Access Network , 2014, IEEE/ACM Transactions on Networking.

[90]  Rongxing Lu,et al.  Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing , 2015, 2015 IEEE International Conference on Communications (ICC).

[91]  Dario Sabella,et al.  Mobile-Edge Computing Architecture: The role of MEC in the Internet of Things , 2016, IEEE Consumer Electronics Magazine.

[92]  Leonard J. Cimini,et al.  MobiCacher: Mobility-aware content caching in small-cell networks , 2014, 2014 IEEE Global Communications Conference.

[93]  Antonio Iera,et al.  Federated edge-assisted mobile clouds for service provisioning in heterogeneous IoT environments , 2015, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT).

[94]  Sherali Zeadally,et al.  Vehicular delay-tolerant networks for smart grid data management using mobile edge computing , 2016, IEEE Communications Magazine.

[95]  Navrati Saxena,et al.  Next Generation 5G Wireless Networks: A Comprehensive Survey , 2016, IEEE Communications Surveys & Tutorials.

[96]  Jose Oscar Fajardo,et al.  Radio-Aware Service-Level Scheduling to Minimize Downlink Traffic Delay Through Mobile Edge Computing , 2015, MONAMI.

[97]  ZeadallySherali,et al.  Vehicular delay-tolerant networks for smart grid data management using mobile edge computing , 2016 .

[98]  Lin Tian,et al.  Video Content Redundancy Elimination Based on the Convergence of Computing, Communication and Cache , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[99]  Nikolaos Laoutaris A Closed-Form Method for LRU Replacement under Generalized Power-Law Demand , 2007, ArXiv.

[100]  Maria Rita Palattella,et al.  Internet of Things in the 5G Era: Enablers, Architecture, and Business Models , 2016, IEEE Journal on Selected Areas in Communications.

[101]  Qun Li,et al.  A Survey of Fog Computing: Concepts, Applications and Issues , 2015, Mobidata@MobiHoc.

[102]  Jie Wu,et al.  Cache content placement using triangular network coding , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[103]  Xing Zhang,et al.  Cache-Enabled Software Defined Heterogeneous Networks for Green and Flexible 5G Networks , 2016, IEEE Access.

[104]  Mahmoud Al-Ayyoub,et al.  The future of mobile cloud computing: Integrating cloudlets and Mobile Edge Computing , 2016, 2016 23rd International Conference on Telecommunications (ICT).

[105]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.

[106]  Chih-Yu Wang,et al.  Massive machine type communication in cellular system: A distributed queue approach , 2016, 2016 IEEE International Conference on Communications (ICC).

[107]  Evangelos N. Gazis,et al.  Components of fog computing in an industrial internet of things context , 2015, 2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops).

[108]  Paolo Giaccone,et al.  Temporal locality in today's content caching: why it matters and how to model it , 2013, CCRV.

[109]  Paramvir Bahl,et al.  The Case for VM-Based Cloudlets in Mobile Computing , 2009, IEEE Pervasive Computing.

[110]  Osvaldo Simeone,et al.  Cloud-aided wireless networks with edge caching: Fundamental latency trade-offs in fog Radio Access Networks , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

[111]  Urs Niesen,et al.  Fundamental Limits of Caching , 2014, IEEE Trans. Inf. Theory.

[112]  R. Michael Buehrer,et al.  Learning distributed caching strategies in small cell networks , 2014, 2014 11th International Symposium on Wireless Communications Systems (ISWCS).

[113]  Michael Till Beck,et al.  Mobile Edge Computing: A Taxonomy , 2014 .

[114]  Bill N. Schilit,et al.  Context-aware computing applications , 1994, Workshop on Mobile Computing Systems and Applications.

[115]  Ivan Stojmenovic,et al.  The Fog computing paradigm: Scenarios and security issues , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[116]  Ayman I. Kayssi,et al.  Edge computing enabling the Internet of Things , 2015, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT).

[117]  Carl Wijting,et al.  Device-to-device communication as an underlay to LTE-advanced networks , 2009, IEEE Communications Magazine.

[118]  J. Wenny Rahayu,et al.  Mobile cloud computing: A survey , 2013, Future Gener. Comput. Syst..

[119]  Mojtaba Alizadeh,et al.  Authentication in mobile cloud computing: A survey , 2016, J. Netw. Comput. Appl..

[120]  Tansu Alpcan,et al.  Fog Computing May Help to Save Energy in Cloud Computing , 2016, IEEE Journal on Selected Areas in Communications.

[121]  Lóránt Farkas,et al.  Multi-user computation offloading as Multiple Knapsack Problem for 5G Mobile Edge Computing , 2016, 2016 European Conference on Networks and Communications (EuCNC).

[122]  Giovanni Stea,et al.  Exploiting LTE D2D communications in M2M Fog platforms: Deployment and practical issues , 2015, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT).

[123]  Li Fan,et al.  Web caching and Zipf-like distributions: evidence and implications , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[124]  Giuseppe La Torre,et al.  Solving Critical Events through Mobile Edge Computing: An Approach for Smart Cities , 2016, 2016 IEEE International Conference on Smart Computing (SMARTCOMP).

[125]  Navpreet Kaur Walia,et al.  Survey on Mobile Cloud Computing , 2024, Advances in Robotic Technology.

[126]  Wei Wang,et al.  Proactive storage at caching-enable base stations in cellular networks , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[127]  Mahadev Satyanarayanan,et al.  Are Cloudlets Necessary , 2015 .

[128]  Jordi Pérez-Romero,et al.  Introducing Mobile Edge Computing Capabilities through Distributed 5G Cloud Enabled Small Cells , 2016, Mob. Networks Appl..

[129]  Hui Tian,et al.  Adaptive sequential offloading game for multi-cell Mobile Edge Computing , 2016, 2016 23rd International Conference on Telecommunications (ICT).

[130]  Hans D. Schotten,et al.  Access Schemes for Mobile Cloud Computing , 2010, 2010 Eleventh International Conference on Mobile Data Management.

[131]  Andrzej Jajszczyk,et al.  Energy-aware fog and cloud interplay supported by wide area software defined networking , 2016, 2016 IEEE International Conference on Communications (ICC).

[132]  Maria Ebling,et al.  An open ecosystem for mobile-cloud convergence , 2015, IEEE Communications Magazine.

[133]  Siti Mariyam Shamsuddin,et al.  A Survey of Web Caching and Prefetching , 2011 .

[134]  Chenyang Yang,et al.  Proactive resource allocation planning with three-levels of context information , 2016, 2016 IEEE/CIC International Conference on Communications in China (ICCC).

[135]  Sergio Barbarossa,et al.  Distributed mobile cloud computing: A multi-user clustering solution , 2016, 2016 IEEE International Conference on Communications (ICC).

[136]  Jiang Zhu,et al.  Fog Computing: A Platform for Internet of Things and Analytics , 2014, Big Data and Internet of Things.

[137]  Peter Corcoran,et al.  Mobile-Edge Computing and the Internet of Things for Consumers: Extending cloud computing and services to the edge of the network , 2016, IEEE Consumer Electronics Magazine.

[138]  Abdallah Shami,et al.  NFV: state of the art, challenges, and implementation in next generation mobile networks (vEPC) , 2014, IEEE Network.

[139]  Marco Maier,et al.  Mobile Edge Computing: Challenges for Future Virtual Network Embedding Algorithms , 2014 .

[140]  Dan Hu,et al.  Mobility prediction based seamless RAN-cache handover in HetNet , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[141]  Chenyang Yang,et al.  Cooperative Device-to-Device Communications with Caching , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[142]  Sergio Barbarossa,et al.  Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing , 2014, IEEE Transactions on Signal and Information Processing over Networks.

[143]  Zhengang Pan,et al.  Macro-assisted data-only carrier for 5G green cellular systems , 2015, IEEE Communications Magazine.

[144]  Yong-Yeol Ahn,et al.  Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems , 2009, IEEE/ACM Transactions on Networking.

[145]  Olga Galinina,et al.  Exploring synergy between communications, caching, and computing in 5G-grade deployments , 2016, IEEE Communications Magazine.

[146]  Alexandros G. Dimakis,et al.  FemtoCaching: Wireless video content delivery through distributed caching helpers , 2011, 2012 Proceedings IEEE INFOCOM.

[147]  Giuseppe Caire,et al.  Wireless caching: technical misconceptions and business barriers , 2016, IEEE Communications Magazine.

[148]  Wei Cao,et al.  Cellular Offloading in Heterogeneous Mobile Networks With D2D Communication Assistance , 2017, IEEE Transactions on Vehicular Technology.

[149]  Zhu Han,et al.  Enhancing software-defined RAN with collaborative caching and scalable video coding , 2016, 2016 IEEE International Conference on Communications (ICC).

[150]  B. Liang,et al.  Mobile Edge Computing , 2020, Encyclopedia of Wireless Networks.

[151]  Konstantinos Poularakis,et al.  Approximation caching and routing algorithms for massive mobile data delivery , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[152]  Chonho Lee,et al.  A survey of mobile cloud computing: architecture, applications, and approaches , 2013, Wirel. Commun. Mob. Comput..

[153]  Mahadev Satyanarayanan,et al.  Cloudlets: at the leading edge of mobile-cloud convergence , 2014, 6th International Conference on Mobile Computing, Applications and Services.

[154]  Yan Wang,et al.  Mobileflow: Toward software-defined mobile networks , 2013, IEEE Communications Magazine.

[155]  Stefan Parkvall,et al.  Design aspects of network assisted device-to-device communications , 2012, IEEE Communications Magazine.

[156]  Dharma P. Agrawal,et al.  Routing security in wireless ad hoc networks , 2002, IEEE Commun. Mag..

[157]  Mohsen Guizani,et al.  Replisom: Disciplined Tiny Memory Replication for Massive IoT Devices in LTE Edge Cloud , 2016, IEEE Internet of Things Journal.