Energy Efficiency on Fully Cloudified Mobile Networks: Survey, Challenges, and Open Issues

Fully cloudified mobile network infrastructure, which is featured by the joint deployment of heterogeneous cloud radio access networks and edge computing, will successfully cope with the data deluge by densely deploying virtualized wireless base stations and servers while providing the system design with high flexibility, reliability, availability, and scalability. On the other hand, the massive replication of the wireless and computing infrastructure will significantly increase the energy footprint to prohibitive levels. In order to gain actionable insights on energy-efficiency for a fully cloudified mobile network infrastructure, this paper first presents a comprehensive survey of the recent research breakthroughs on each building block of the system, namely: remote radio heads, baseband unit pool, fronthaul, backhaul, HetNet, and edge and cloud computing. Next, we consolidate the discussion with the challenges and open issues of a joint operation.

[1]  Geoffrey Ye Li,et al.  Recent advances in energy-efficient networks and their application in 5G systems , 2015, IEEE Wireless Communications.

[2]  Rajiv Ranjan,et al.  Survey of Techniques and Architectures for Designing Energy-Efficient Data Centers , 2016, IEEE Systems Journal.

[3]  Naveen K. Chilamkurti,et al.  Energy-Efficient Multimedia Data Dissemination in Vehicular Clouds: Stochastic-Reward-Nets-Based Coalition Game Approach , 2016, IEEE Systems Journal.

[4]  Xavier Masip-Bruin,et al.  Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems , 2016, IEEE Wireless Communications.

[5]  Abraham O. Fapojuwo,et al.  Analysis of Spectrum Efficiency and Energy Efficiency of Heterogeneous Wireless Networks With Intra-/Inter-RAT Offloading , 2015, IEEE Transactions on Vehicular Technology.

[6]  Wanjiun Liao,et al.  On Optimal Cell Activation for Coverage Preservation in Green Cellular Networks , 2014, IEEE Transactions on Mobile Computing.

[7]  Karim Djouani,et al.  A Survey of Resource Management Toward 5G Radio Access Networks , 2016, IEEE Communications Surveys & Tutorials.

[8]  Xiaojun Yuan,et al.  Advances and challenges toward a scalable cloud radio access network , 2016, IEEE Communications Magazine.

[9]  Kaibin Huang,et al.  Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer , 2015, IEEE Journal on Selected Areas in Communications.

[10]  Long Bao Le,et al.  Joint coordinated beamforming and admission control for fronthaul constrained cloud-RANs , 2014, 2014 IEEE Global Communications Conference.

[11]  Tarik Taleb,et al.  Toward carrier cloud: Potential, challenges, and solutions , 2014, IEEE Wireless Communications.

[12]  Kyung Sup Kwak,et al.  Adaptive cross-layer resource optimization in heterogeneous wireless networks with multi-homing user equipments , 2016, Journal of Communications and Networks.

[13]  Juhee Kim,et al.  Base-Station Sleep Management in Open-Access Femtocell Networks , 2016, IEEE Transactions on Vehicular Technology.

[14]  Lin Gui,et al.  Mobile cloudlet assisted computation offloading in heterogeneous mobile cloud , 2016, 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP).

[15]  Rami Mochaourab,et al.  Globally Optimal Base Station Clustering in Interference Alignment-Based Multicell Networks , 2016, IEEE Signal Processing Letters.

[16]  Olabisi Emmanuel Falowo,et al.  Self-organizing radio resource management for next generation heterogeneous wireless networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[17]  Xianfu Chen,et al.  Optimal Base Station Sleeping in Green Cellular Networks: A Distributed Cooperative Framework Based on Game Theory , 2015, IEEE Transactions on Wireless Communications.

[18]  Tamma Bheemarjuna Reddy,et al.  Load-aware dynamic RRH assignment in Cloud Radio Access Networks , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[19]  Xiaohu Ge,et al.  Throughput and backhaul energy efficiency analysis in two-tier HetNets: A multiobjective approach , 2015, 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD).

[20]  Giuseppe Caire,et al.  Massive-MIMO Meets HetNet: Interference Coordination Through Spatial Blanking , 2014, IEEE Journal on Selected Areas in Communications.

[21]  Chuang Lin,et al.  An Effective Policy Relocation Scheme for VM Migration in Software-Defined Networks , 2015, 2015 24th International Conference on Computer Communication and Networks (ICCCN).

[22]  Dusit Niyato,et al.  Offloading in Mobile Cloudlet Systems with Intermittent Connectivity , 2015, IEEE Transactions on Mobile Computing.

[23]  Stefano Secci,et al.  ULOOF: A User Level Online Offloading Framework for Mobile Edge Computing , 2018, IEEE Transactions on Mobile Computing.

[24]  Zhisheng Niu,et al.  Delay-Constrained Energy-Optimal Base Station Sleeping Control , 2016, IEEE Journal on Selected Areas in Communications.

[25]  Danda B. Rawat,et al.  Software Defined Networking Architecture, Security and Energy Efficiency: A Survey , 2017, IEEE Communications Surveys & Tutorials.

[26]  Lu Peng,et al.  Operational Cost Optimization for Cloud Computing Data Centers Using Renewable Energy , 2016, IEEE Systems Journal.

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

[28]  Muhammad Ali Imran,et al.  5G Backhaul Challenges and Emerging Research Directions: A Survey , 2016, IEEE Access.

[29]  Kwang-Cheng Chen,et al.  Collaborative radio access of heterogeneous cloud radio access networks and edge computing networks , 2016, 2016 IEEE International Conference on Communications Workshops (ICC).

[30]  Xiaodong Xu,et al.  Joint remote radio head selection and user association in cloud radio access networks , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[31]  Jaime Llorca,et al.  IoT-Cloud Service Optimization in Next Generation Smart Environments , 2016, IEEE Journal on Selected Areas in Communications.

[32]  Yong Li,et al.  System architecture and key technologies for 5G heterogeneous cloud radio access networks , 2015, IEEE Netw..

[33]  Sagar Naik,et al.  Energy Cost Models of Smartphones for Task Offloading to the Cloud , 2015, IEEE Transactions on Emerging Topics in Computing.

[34]  Walid Saad,et al.  Cloud radio access meets heterogeneous small cell networks: A cognitive hierarchy perspective , 2016, 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[35]  Rui Wang,et al.  Potentials and Challenges of C-RAN Supporting Multi-RATs Toward 5G Mobile Networks , 2014, IEEE Access.

[36]  Xiaodong Xu,et al.  An energy-effective network deployment scheme for 5G Cloud Radio Access Networks , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[37]  Ying Wang,et al.  A framework for energy efficient control in heterogeneous cloud radio access networks , 2016, 2016 IEEE/CIC International Conference on Communications in China (ICCC Workshops).

[38]  Xuemin Shen,et al.  Energy-Aware Traffic Offloading for Green Heterogeneous Networks , 2016, IEEE Journal on Selected Areas in Communications.

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

[40]  H. Vincent Poor,et al.  Energy-Efficient Resource Allocation Optimization for Multimedia Heterogeneous Cloud Radio Access Networks , 2016, IEEE Transactions on Multimedia.

[41]  Yan Zhang,et al.  Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach , 2016, IEEE Transactions on Vehicular Technology.

[42]  Zhisheng Niu,et al.  Base Station Sleeping and Resource Allocation in Renewable Energy Powered Cellular Networks , 2013, IEEE Transactions on Communications.

[43]  Jie Tang,et al.  Resource Allocation for Energy Efficiency Optimization in Heterogeneous Networks , 2015, IEEE Journal on Selected Areas in Communications.

[44]  Daqing Zhang,et al.  effSense: A Novel Mobile Crowd-Sensing Framework for Energy-Efficient and Cost-Effective Data Uploading , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[45]  Supeng Leng,et al.  Joint Scheduling and Beamforming Coordination in Cloud Radio Access Networks With QoS Guarantees , 2016, IEEE Transactions on Vehicular Technology.

[46]  Xiaohua Jia,et al.  Supporting Seamless Virtual Machine Migration via Named Data Networking in Cloud Data Center , 2015, IEEE Transactions on Parallel and Distributed Systems.

[47]  Michael L. Honig,et al.  Energy-Efficient Cell Activation, User Association, and Spectrum Allocation in Heterogeneous Networks , 2015, IEEE Journal on Selected Areas in Communications.

[48]  F. Richard Yu,et al.  A Survey of Green Information-Centric Networking: Research Issues and Challenges , 2015, IEEE Communications Surveys & Tutorials.

[49]  Nei Kato,et al.  Energy Consumption Minimization for FiWi Enhanced LTE-A HetNets with UE Connection Constraint , 2016, IEEE Communications Magazine.

[50]  Xudong Wang,et al.  Energy-Efficient Transmit Power Control for Multi-tier MIMO HetNets , 2015, IEEE Journal on Selected Areas in Communications.

[51]  Dario Pompili,et al.  DJP: Dynamic Joint Processing for Interference Cancellation in Cloud Radio Access Networks , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[52]  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.

[53]  Yuan Li,et al.  Heterogeneous cloud radio access networks: a new perspective for enhancing spectral and energy efficiencies , 2014, IEEE Wireless Communications.

[54]  Daniele Tarchi,et al.  A Unified Urban Mobile Cloud Computing Offloading Mechanism for Smart Cities , 2017, IEEE Communications Magazine.

[55]  Jian Song,et al.  Software Defined Cooperative Offloading for Mobile Cloudlets , 2017, IEEE/ACM Transactions on Networking.

[56]  Xu Chen,et al.  D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration , 2016, IEEE Journal on Selected Areas in Communications.

[57]  Mohsen Guizani,et al.  Mobility prediction in telecom cloud using mobile calls , 2014, IEEE Wireless Communications.

[58]  Saewoong Bahk,et al.  Large-scale antenna operation in heterogeneous cloud radio access networks: a partial centralization approach , 2015, IEEE Wireless Communications.

[59]  Wei Yu,et al.  Optimized Backhaul Compression for Uplink Cloud Radio Access Network , 2013, IEEE Journal on Selected Areas in Communications.

[60]  Wessam Ajib,et al.  Achieving energy-efficiency in two-tiers wireless backhaul HetNets , 2016, 2016 IEEE International Conference on Communications (ICC).

[61]  Yuan-Cheng Lai,et al.  Time-and-Energy-Aware Computation Offloading in Handheld Devices to Coprocessors and Clouds , 2015, IEEE Systems Journal.

[62]  Alagan Anpalagan,et al.  QoS-Aware Energy-Efficient Joint Radio Resource Management in Multi-RAT Heterogeneous Networks , 2016, IEEE Transactions on Vehicular Technology.

[63]  Fei Tao,et al.  BGM-BLA: A New Algorithm for Dynamic Migration of Virtual Machines in Cloud Computing , 2016, IEEE Transactions on Services Computing.

[64]  Wenwu Zhu,et al.  On Energy-Efficient Offloading in Mobile Cloud for Real-Time Video Applications , 2017, IEEE Transactions on Circuits and Systems for Video Technology.

[65]  Mohamed-Slim Alouini,et al.  Decentralized Group Sparse Beamforming for Multi-Cloud Radio Access Networks , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[66]  Alberto Leon-Garcia,et al.  QoS-aware Joint RRH activation and clustering in cloud-RANs , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[67]  Zhu Han,et al.  Optimal energy management policy of a mobile cloudlet with wireless energy charging , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[68]  Wei Yu,et al.  Fronthaul Compression and Transmit Beamforming Optimization for Multi-Antenna Uplink C-RAN , 2016, IEEE Transactions on Signal Processing.

[69]  Vasileios Giotsas,et al.  Media Query Processing for the Internet-of-Things: Coupling of Device Energy Consumption and Cloud Infrastructure Billing , 2016, IEEE Transactions on Multimedia.

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

[71]  Jiangzhou Wang,et al.  When ICN meets C-RAN for HetNets: an SDN approach , 2015, IEEE Communications Magazine.

[72]  Zhifeng Zhao,et al.  Toward 5G: when explosive bursts meet soft cloud , 2014, IEEE Network.

[73]  Wei Wang,et al.  Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems , 2015, IEEE Transactions on Parallel and Distributed Systems.

[74]  Erkai Chen,et al.  User-centric base station clustering and sparse beamforming for cache-enabled cloud RAN , 2015, 2015 IEEE/CIC International Conference on Communications in China (ICCC).

[75]  Wei-Ting Lin,et al.  Downlink-to-Uplink Interference Cancellation in Cloud Radio Access Networks , 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

[76]  Zhisheng Niu,et al.  Characterizing Energy–Delay Tradeoff in Hyper-Cellular Networks With Base Station Sleeping Control , 2015, IEEE Journal on Selected Areas in Communications.

[77]  Geoffrey Ye Li,et al.  Multi-Objective Energy-Efficient Resource Allocation for Multi-RAT Heterogeneous Networks , 2015, IEEE Journal on Selected Areas in Communications.

[78]  Zhiguo Ding,et al.  Energy-Efficient Joint Congestion Control and Resource Optimization in Heterogeneous Cloud Radio Access Networks , 2016, IEEE Transactions on Vehicular Technology.

[79]  Lingyang Song,et al.  How Much Computing Capability Is Enough to Run a Cloud Radio Access Network? , 2017, IEEE Communications Letters.

[80]  Mugen Peng,et al.  Coverage and Rate Analysis in Heterogeneous Cloud Radio Access Networks With Device-to-Device Communication , 2016, IEEE Access.

[81]  Teng Joon Lim,et al.  Resource Partitioning and User Association With Sleep-Mode Base Stations in Heterogeneous Cellular Networks , 2015, IEEE Transactions on Wireless Communications.

[82]  Kwang-Cheng Chen,et al.  Resource-Optimal Licensed-Assisted Access in Heterogeneous Cloud Radio Access Networks With Heterogeneous Carrier Communications , 2016, IEEE Transactions on Vehicular Technology.

[83]  Xin Jin,et al.  SoftCell: scalable and flexible cellular core network architecture , 2013, CoNEXT.

[84]  Srikanth V. Krishnamurthy,et al.  FluidNet: A Flexible Cloud-Based Radio Access Network for Small Cells , 2013, IEEE/ACM Transactions on Networking.

[85]  Mohamed Cheriet,et al.  Energy Efficient Resource Allocation in Cloud Computing Environments , 2016, IEEE Access.

[86]  Lei Li,et al.  Optimization of Base-Station Density for High Energy-Efficient Cellular Networks With Sleeping Strategies , 2016, IEEE Transactions on Vehicular Technology.

[87]  Moshe Zukerman,et al.  Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.

[88]  Hayssam Dahrouj,et al.  Resource allocation in heterogeneous cloud radio access networks: advances and challenges , 2015, IEEE Wireless Communications.

[89]  Stefano Secci,et al.  Linking Virtual Machine Mobility to User Mobility , 2016, IEEE Transactions on Network and Service Management.

[90]  Jiaheng Wang,et al.  Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks , 2014, IEEE Transactions on Vehicular Technology.

[91]  Sergio Barbarossa,et al.  Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks , 2014, IEEE Signal Processing Magazine.

[92]  Di Yuan,et al.  Optimal Cell Clustering and Activation for Energy Saving in Load-Coupled Wireless Networks , 2015, IEEE Transactions on Wireless Communications.

[93]  Wei Yu,et al.  Energy Efficiency of Downlink Transmission Strategies for Cloud Radio Access Networks , 2016, IEEE Journal on Selected Areas in Communications.

[94]  Youngnam Han,et al.  Potential of Network Energy Saving Through Handover in HetNets , 2016, IEEE Transactions on Vehicular Technology.

[95]  Amr Mohamed,et al.  Towards Energy Efficient and Quality of Service Aware Cell Zooming in 5G Wireless Networks , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

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

[97]  Pan Cao,et al.  Semidynamic Green Resource Management in Downlink Heterogeneous Networks by Group Sparse Power Control , 2015, IEEE Journal on Selected Areas in Communications.

[98]  Xiaojiang Du,et al.  Toward Vehicle-Assisted Cloud Computing for Smartphones , 2015, IEEE Transactions on Vehicular Technology.

[99]  Rui Wang,et al.  User-centric local mobile cloud-assisted D2D communications in heterogeneous cloud-rans , 2015, IEEE Wireless Communications.

[100]  Jaafar M. H. Elmirghani,et al.  Distributed Energy Efficient Clouds Over Core Networks , 2014, Journal of Lightwave Technology.

[101]  Xingming Sun,et al.  “Friend is Treasure”: Exploring and Exploiting Mobile Social Contacts for Efficient Task Offloading , 2016, IEEE Transactions on Vehicular Technology.

[102]  Fengyuan Ren,et al.  Guaranteeing Delay of Live Virtual Machine Migration by Determining and Provisioning Appropriate Bandwidth , 2016, IEEE Transactions on Computers.

[103]  Peng Yong Kong,et al.  Optimal Probabilistic Policy for Dynamic Resource Activation Using Markov Decision Process in Green Wireless Networks , 2014, IEEE Transactions on Mobile Computing.

[104]  H. Vincent Poor,et al.  Fronthaul-constrained cloud radio access networks: insights and challenges , 2015, IEEE Wireless Communications.

[105]  Alberto Ceselli,et al.  Mobile Edge Cloud Network Design Optimization , 2017, IEEE/ACM Transactions on Networking.

[106]  Vincent W. S. Wong,et al.  A Dynamic Resource Sharing Mechanism for Cloud Radio Access Networks , 2016, IEEE Transactions on Wireless Communications.

[107]  Tony Q. S. Quek,et al.  Energy-Efficient Design of MIMO Heterogeneous Networks With Wireless Backhaul , 2015, IEEE Transactions on Wireless Communications.

[108]  Shi Jin,et al.  User-Centric Cross-Tier Base Station Clustering and Cooperation in Heterogeneous Networks: Rate Improvement and Energy Saving , 2016, IEEE Journal on Selected Areas in Communications.

[109]  Wanjiun Liao,et al.  Green Multicell Cooperation in Heterogeneous Networks With Hybrid Energy Sources , 2016, IEEE Transactions on Wireless Communications.

[110]  Byung-Gon Chun,et al.  CloneCloud: elastic execution between mobile device and cloud , 2011, EuroSys '11.

[111]  K. J. Ray Liu,et al.  Time-Reversal Tunneling Effects for Cloud Radio Access Network , 2016, IEEE Transactions on Wireless Communications.

[112]  Yan Shi,et al.  Joint Optimization of BS Operation, User Association, Subcarrier Assignment, and Power Allocation for Energy-Efficient HetNets , 2016, IEEE Journal on Selected Areas in Communications.

[113]  Zongmin Cui,et al.  Pre-Filter-Copy: Efficient and Self-Adaptive Live Migration of Virtual Machines , 2016, IEEE Systems Journal.

[114]  Balasubramaniam Natarajan,et al.  Small Cell Base Station Sleep Strategies for Energy Efficiency , 2016, IEEE Transactions on Vehicular Technology.

[115]  Wuyang Zhou,et al.  Traffic-aware graph-based dynamic frequency reuse for heterogeneous Cloud-RAN , 2014, 2014 IEEE Global Communications Conference.

[116]  Jonathan Rodriguez,et al.  Green HetNet CoMP: Energy Efficiency Analysis and Optimization , 2015, IEEE Transactions on Vehicular Technology.

[117]  James Gross,et al.  RRH Clustering and Transmit Precoding for Interference-Limited 5G CRAN Downlink , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[118]  Guowang Miao,et al.  Base-Station Sleeping Control and Power Matching for Energy–Delay Tradeoffs With Bursty Traffic , 2016, IEEE Transactions on Vehicular Technology.

[119]  Yan Zhang,et al.  Software Defined Networking for Flexible and Green Energy Internet , 2016, IEEE Communications Magazine.

[120]  Chunxiao Jiang,et al.  Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks , 2015, IEEE Wireless Communications.

[121]  Shaowei Wang,et al.  Resource Allocation in Heterogeneous Cloud Radio Access Networks: A Workload Balancing Perspective , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[122]  Tao Jiang,et al.  Optimal radio resource allocation for mobile task offloading in cellular networks , 2014, IEEE Network.

[123]  Dirk Wübben,et al.  Performance Analysis and Optimal Cooperative Cluster Size for Randomly Distributed Small Cells Under Cloud RAN , 2016, IEEE Access.

[124]  Zhisheng Niu,et al.  Cell zooming for cost-efficient green cellular networks , 2010, IEEE Communications Magazine.

[125]  Rami Mochaourab,et al.  Distributed Long-Term Base Station Clustering in Cellular Networks Using Coalition Formation , 2016, IEEE Transactions on Signal and Information Processing over Networks.

[126]  Massoud Pedram,et al.  Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment , 2015, IEEE Transactions on Services Computing.

[127]  Vincent W. S. Wong,et al.  Network Configuration for Two-Tier Macro–Femto Systems With Hybrid Access , 2016, IEEE Transactions on Vehicular Technology.

[128]  Nan Liu,et al.  Energy Minimization via BS Selection and Beamforming for Cloud-RAN under Finite Fronthaul Capacity Constraints , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[129]  Bo Hu,et al.  A Mobility-Oriented Scheme for Virtual Machine Migration in Cloud Data Center Network , 2016, IEEE Access.

[130]  Lazaros Gkatzikis,et al.  Migrate or not? exploiting dynamic task migration in mobile cloud computing systems , 2013, IEEE Wireless Communications.

[131]  Abdallah Shami,et al.  Hailing cloud empowered radio access networks , 2015, IEEE Wireless Communications.

[132]  Ying Wang,et al.  Energy efficient resource allocation for heterogeneous cloud radio access networks with user cooperation and QoS guarantees , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[133]  Thomas F. La Porta,et al.  On Selective Activation in Dense Femtocell Networks , 2016, IEEE Transactions on Wireless Communications.

[134]  Xun Sun,et al.  Resource Allocation Scheme for Energy Saving in Heterogeneous Networks , 2015, IEEE Transactions on Wireless Communications.

[135]  Mohamed-Slim Alouini,et al.  Coordinated Scheduling and Power Control in Cloud-Radio Access Networks , 2016, IEEE Transactions on Wireless Communications.

[136]  Dzmitry Kliazovich,et al.  Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[137]  Zhisheng Niu,et al.  Energy-efficient task offloading for multiuser mobile cloud computing , 2015, 2015 IEEE/CIC International Conference on Communications in China (ICCC).

[138]  Chonggang Wang,et al.  Balancing backhaul load in heterogeneous cloud radio access networks , 2015, IEEE Wireless Communications.

[139]  Raffaele Bolla,et al.  DROPv2: energy efficiency through network function virtualization , 2014, IEEE Network.

[140]  Laurence T. Yang,et al.  A holistic energy optimization framework for cloud-assisted mobile computing , 2015, IEEE Wireless Communications.

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

[142]  Jie Xu,et al.  An Analysis of Failure-Related Energy Waste in a Large-Scale Cloud Environment , 2014, IEEE Transactions on Emerging Topics in Computing.

[143]  Wei Yu,et al.  Cloud radio access network: Virtualizing wireless access for dense heterogeneous systems , 2015, Journal of Communications and Networks.

[144]  Tony Q. S. Quek,et al.  MIMO HetNets with wireless backhaul: An energy-efficient design , 2016, 2016 IEEE International Conference on Communications (ICC).

[145]  Tiankui Zhang,et al.  Two-Dimensional Optimization on User Association and Green Energy Allocation for HetNets With Hybrid Energy Sources , 2015, IEEE Transactions on Communications.

[146]  Ke Wang,et al.  Dynamic resource allocation in TDD-based heterogeneous cloud radio access networks , 2016, China Communications.

[147]  Sokol Kosta,et al.  To offload or not to offload? The bandwidth and energy costs of mobile cloud computing , 2013, 2013 Proceedings IEEE INFOCOM.

[148]  Juhee Kim,et al.  Effect of Base Station-Sleeping Ratio on Energy Efficiency in Densely Deployed Femtocell Networks , 2015, IEEE Communications Letters.

[149]  Mohsen Guizani,et al.  Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment , 2015, IEEE Network.

[150]  Raouf Boutaba,et al.  Dynamic workload management in heterogeneous Cloud computing environments , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).

[151]  Wanjiun Liao,et al.  Hierarchical cooperation in heterogeneous cloud radio access networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[152]  Gerhard Fettweis,et al.  From Immune Cells to Self-Organizing Ultra-Dense Small Cell Networks , 2016, IEEE Journal on Selected Areas in Communications.

[153]  Neeraj Suri,et al.  Run Time Application Repartitioning in Dynamic Mobile Cloud Environments , 2016, IEEE Transactions on Cloud Computing.

[154]  Alec Wolman,et al.  MAUI: making smartphones last longer with code offload , 2010, MobiSys '10.

[155]  Ekram Hossain,et al.  Resource Allocation for an OFDMA Cloud-RAN of Small Cells Underlaying a Macrocell , 2016, IEEE Transactions on Mobile Computing.

[156]  Ian F. Akyildiz,et al.  Energy Consumption Analysis and Minimization in Multi-Layer Heterogeneous Wireless Systems , 2015, IEEE Transactions on Mobile Computing.

[157]  Mugen Peng,et al.  Perron-Frobenius Theory Based Power Allocation in Heterogeneous Cloud Radio Access Networks , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[158]  Alagan Anpalagan,et al.  Intercloud and HetNet for Mobile Cloud Computing in 5G Systems: Design Issues, Challenges, and Optimization , 2017, IEEE Network.

[159]  Chunyan Feng,et al.  Joint dynamic point blanking and ABS for ICIC in cloud cooperated heterogeneous network , 2015, 2015 IEEE/CIC International Conference on Communications in China (ICCC).

[160]  Rui Zhang,et al.  Downlink and Uplink Energy Minimization Through User Association and Beamforming in C-RAN , 2014, IEEE Transactions on Wireless Communications.

[161]  Toni Mastelic,et al.  Recent Trends in Energy-Efficient Cloud Computing , 2015, IEEE Cloud Computing.

[162]  Lisandro Zambenedetti Granville,et al.  Resource sharing in heterogeneous cloud radio access networks , 2015, IEEE Wireless Communications.

[163]  Dario Pompili,et al.  Elastic resource utilization framework for high capacity and energy efficiency in cloud RAN , 2016, IEEE Communications Magazine.

[164]  Amr M. Youssef,et al.  Ultra-Dense Networks: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[165]  Wenyi Zhang,et al.  HetNets With Random DTX Scheme: Local Delay and Energy Efficiency , 2016, IEEE Transactions on Vehicular Technology.

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