Energy Efficiency on Fully Cloudified Mobile Networks: Survey, Challenges, and Open Issues
暂无分享,去创建一个
Alagan Anpalagan | Isaac Woungang | Glaucio H. S. Carvalho | Ali Alnoman | I. Woungang | A. Anpalagan | A. Alnoman
[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.