Energy-Efficient Sub-Carrier and Power Allocation in Cloud-Based Cellular Network With Ambient RF Energy Harvesting

IEEE Access

Volumn 5, Issue , 2017, Pages 1340-1352

  Zhao, Yisheng ^a,b   Leung, Victor C M ^b   Zhu, Chunsheng ^b   Gao, Hui ^c   Chen, Zhonghui ^a   Ji, Hong ^d  

^a FUZHOU UNIVERSITY   (China)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^d BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Ambient RF energy harvesting; cloud based cellular network; energy efficiency; resource allocation

Indexed keywords

ENERGY HARVESTING; ENERGY TRANSFER; ENERGY UTILIZATION; FREQUENCY BANDS; GREEN COMPUTING; INTEGER PROGRAMMING; MOBILE CLOUD COMPUTING; MOBILE TELECOMMUNICATION SYSTEMS; NONLINEAR PROGRAMMING; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); RESOURCE ALLOCATION; WIRELESS NETWORKS;

CELLULAR NETWORK; ENERGY-EFFICIENT RESOURCE ALLOCATION; INFORMATION AND POWER TRANSFERS; MIXED INTEGER NON-LINEAR PROGRAMMING PROBLEMS; PARTICLE SWARM OPTIMIZATION APPROACHES; QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION(QPSO) ALGORITHM; RADIO-FREQUENCY ENERGY HARVESTING; RF ENERGY HARVESTING;

ENERGY EFFICIENCY;

EID: 85015737193     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2017.2667678     Document Type: Article

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