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Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds

delete2016-12-01
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PRE
AI
Z
Zheng Chang *
J
Jie Gong
Y
Yingyu Li
Z
Zhenyu Zhou
T
Tapani Ristaniemi
G
Guangming Shi
H
Han, Z
Z
Zhisheng Niu
DOI:10.1109/JSAC.2016.2611843delete
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Abstract

Abstract

En 中文
In order to fully enjoy high rate broadband multimedia services, prolonging the battery lifetime of user equipment is critical for mobile users, especially for smartphone users. In this paper, the problem of distributing cellular data via a wireless power transfer enabled collaborative mobile cloud (WeCMC) in an energy efficient manner is investigated. WeCMC is formed by a group of users who have both functionalities of information decoding and energy harvesting, and are interested for cooperating in downloading content from the operators. Through device-to-device communications, the users inside WeCMC are able to cooperate during the downloading procedure and offload data from the base station to other WeCMC members. When considering multi-input multi-output wireless channel and wireless power transfer, an efficient algorithm is presented to optimally schedule the data offloading and radio resources in order to maximize energy efficiency as well as fairness among mobile users. Specifically, the proposed framework takes energy minimization and quality of service requirement into consideration. Performance evaluations demonstrate that a significant energy saving gain can be achieved by the proposed schemes.
Keywords:
Energy efficiency
collaborative mobile clouds
content distribution
wireless power transfer
resources allocation
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Journal

IEEE Journal on Selected Areas in Communications cover
IEEE Journal on Selected Areas in Communications
IF:
17.2
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6.4K
Citations:
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university of jyvaskyla
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university of houston
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Xidian University
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