arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1507.04094cs.ITmath.IT
收藏

由无线能量传输提供支持的高能效移动云计算(扩展版)

Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer (extended version)

Changsheng You, Kaibin Huang, Hyukjin Chae

摘要:

实现长电池寿命甚至自我可持续性一直是设计移动设备的长期挑战。本文提出了一种新型解决方案,无缝集成了移动云计算和微波功率传输(MPT)两种技术,以实现传感器和可穿戴计算设备等无源低复杂性设备中的计算。具体而言,考虑到单用户系统,基站(BS)将功率传输到移动设备或将计算从移动设备卸载到云;移动设备使用收集的能量在本地或通过卸载来计算给定的数据。提出了一种节能计算的框架,该框架包括一组用于控制本地计算模式的CPU周期的策略、MPT和卸载之间的时间划分以及模式选择。给定CPU周期统计信息和信道状态信息(CSI),该策略的目标是在能量收集和截止期限约束下,最大化成功计算给定数据的概率(称为计算概率).将策略优化转化为最小化本地计算移动能耗和最大化卸载移动节能的等效问题,并使用凸优化理论求解。由此产生的政策的结构的特点是在封闭的形式。此外,给定非因果CSI,所述分析框架被进一步发展以支持多个信道实现上的计算负载分配,这进一步增加了计算概率。最后通过仿真验证了无线供电移动云计算的可行性及其最优控制的增益。

英文摘要:

Achieving long battery lives or even self sustainability has been a long standing challenge for designing mobile devices. This paper presents a novel solution that seamlessly integrates two technologies, mobile cloud computing and microwave power transfer (MPT), to enable computation in passive low-complexity devices such as sensors and wearable computing devices. Specifically, considering a single-user system, a base station (BS) either transfers power to or offloads computation from a mobile to the cloud; the mobile uses harvested energy to compute given data either locally or by offloading. A framework for energy efficient computing is proposed that comprises a set of policies for controlling CPU cycles for the mode of local computing, time division between MPT and offloading for the other mode of offloading, and mode selection. Given the CPU-cycle statistics information and channel state information (CSI), the policies aim at maximizing the probability of successfully computing given data, called computing probability, under the energy harvesting and deadline constraints. The policy optimization is translated into the equivalent problems of minimizing the mobile energy consumption for local computing and maximizing the mobile energy savings for offloading which are solved using convex optimization theory. The structures of the resultant policies are characterized in closed form. Furthermore, given non-causal CSI, the said analytical framework is further developed to support computation load allocation over multiple channel realizations, which further increases computing probability. Last, simulation demonstrates the feasibility of wirelessly powered mobile cloud computing and the gain of its optimal control.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑