Energy-Efficient Joint Wireless Charging and Computation Offloading in MEC Systems
Energy-Efficient Joint Wireless Charging and Computation Offloading in MEC Systems
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DOI：
10.1109/jstsp.2021.3098963
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发表时间：
2021-08-01
影响因子：
7.5
通讯作者：
Vu, Mai
中科院分区：
文献类型：
--
作者：
Malik, Rafia;Vu, Mai
边缘网络为满足具有新的数据密集型服务的用户设备的日益增长的能量和计算需求提供了有前途的解决方案。具有并置MEC服务器和基站/接入点（BS/AP）的多接入边缘计算（MEC）系统具有支持多个用户进行数据计算和无线充电的能力。我们提出了一个集成的解决方案，用于无线充电与计算卸载，以满足最大的可行比例的要求无线充电，同时保持总能耗在最低限度，受MEC-AP发射功率和延迟的限制。我们设计了一种新的嵌套算法来最优地解决由此产生的非凸问题，以便联合执行数据划分，时间分配，发射功率控制和设计用于无线充电的最佳能量波束成形。与其他方案相比，所提出的资源分配方案提供最小的能量消耗，同时还向用户提供更高量的无线传输电荷。结果还表明，与其他方案相比，能量最小化的充电波束具有更宽的主瓣，更小的旁瓣，没有后瓣。即使有数据卸载，所提出的解决方案也显示出与单独充电的情况相当的显著的充电性能，因此显示出与无线充电联合执行部分计算卸载的有效性。
Edge networks offer a promising solution for satisfying the increasing energy and computation needs of user devices with new data intensive services. A mutil-access edge computing (MEC) system with collocated MEC servers and base-stations/access points (BS/AP) has the ability to support multiple users for both data computation and wireless charging. We propose an integrated solution for wireless charging with computation offloading to satisfy the largest feasible proportion of requested wireless charging while keeping the total energy consumption at the minimum, subject to the MEC-AP transmit power and latency constraints. We design a novel nested algorithm to optimally solve the resulting non-convex problem in order to jointly perform data partitioning, time allocation, transmit power control and design the optimal energy beamforming for wireless charging. The proposed resource allocation scheme offers minimal energy consumption compared to other schemes while also delivering a higher amount of wirelessly transferred charge to the users. The results also show that compared to other solutions, the energy charging beams for minimum consumption have a wider main lobe, smaller side lobes, with an absence of the back lobe. Even with data offloading, the proposed solution shows significant charging performance, comparable to the case of charging alone, hence showing the effectiveness of performing partial computation offloading jointly with wireless charging.