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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 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.
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。在本文中,研究了以节能方式通过支持无线功率传输的协作移动云(WeCMC)分配蜂窝数据的问题。 WeCMC由一群具有信息解码和能量收集功能的用户组成,他们有兴趣合作从运营商那里下载内容。通过设备间的通信,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功率传输时,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源效率和公平性。具体而言,所提出的框架考虑了能量最小化和服务质量要求。性能评估表明,通过提出的方案可以实现显着的节能收益。

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