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

机译:启用无线电力传输的协作移动云的节能资源分配

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摘要

In order to fully enjoy high rate broadband multimediaservices, prolonging the battery lifetime of user equipmentis critical for mobile users, especially for smartphone users. Inthis work, the problem of distributing cellular data via a wirelesspower transfer enabled collaborative mobile cloud (WeCMC) inan energy efficient manner is investigated. WeCMC is formed bya group of users who have both functionalities of informationdecoding and energy harvesting, and are interested for cooperatingin downloading content from the operators. ThroughDevice-to-Device communications, the users inside WeCMC areable to cooperate during the downloading procedure and offloaddata from the base station to other WeCMC members. Whenconsidering MIMO wireless channel and wireless power transfer,an efficient algorithm is presented to optimally schedule thedata offloading and radio resources in order to maximize energyefficiency as well as fairness among mobile users. Specifically,the proposed framework takes energy minimization and Qualityof Service (QoS) requirement into consideration. Performanceevaluations demonstrate that a significant energy saving gain canbe achieved by the proposed schemes.
机译:为了充分享受高速率的宽带多媒体服务,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。在这项工作中,研究了以节能方式通过支持无线电力传输的协作移动云(WeCMC)分发蜂窝数据的问题。 WeCMC由一群具有信息解码和能量收集功能并且对合作从运营商下载内容感兴趣的用户组成。通过设备到设备的通信,WeCMC内部的用户可以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。在考虑MIMO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,以最大程度地提高移动用户之间的能效和公平性。具体而言,所提出的框架考虑了能量最小化和服务质量(QoS)要求。性能评估表明,所提出的方案可以显着节省能源。

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