Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds
Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds
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DOI：
10.1109/jsac.2016.2611843
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发表时间：
2016-12-01
影响因子：
16.4
通讯作者：
Niu, Zhisheng
中科院分区：
文献类型：
--
作者：
Chang, Zheng;Gong, Jie;Niu, Zhisheng
为了充分享受高速率宽带多媒体服务，延长用户设备的电池寿命对于移动用户尤其是智能手机用户至关重要。在本文中，研究了通过支持无线功率传输的协作移动云（WeCMC）以节能方式分发蜂窝数据的问题。 WeCMC是由一群兼具信息解码和能量收集功能、有兴趣合作从运营商那里下载内容的用户组成的。通过设备到设备的通信，WeCMC 内部的用户能够在下载过程中进行协作，并将数据从基站卸载到其他 WeCMC 成员。当考虑多输入多输出无线信道和无线电力传输时，提出了一种有效的算法来优化调度数据卸载和无线电资源，以最大限度地提高能源效率和移动用户之间的公平性。具体来说，所提出的框架考虑了能源最小化和服务质量要求。性能评估表明，所提出的方案可以实现显着的节能收益。
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.