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Resource optimization in wireless powered cooperative mobile edge computing systems
Science China Information Sciences ( IF 7.3 ) Pub Date : 2021-07-08 , DOI: 10.1007/s11432-020-2925-1
Qibin Ye 1 , Su Hu 1 , Weidang Lu 2 , Xiaohan Xu 2
Affiliation  

Mobile edge computing (MEC) meets the high-bandwidth and ultra-low-latency requirements of mobile networks and improves communication reliability by reducing the networks’ load. In this study, we study a wireless powered MEC system, which includes an access point (AP) and two mobile devices. The endurance of mobile devices can be effectively enhanced using the wireless power transfer technology and user cooperation. However, during user cooperation, a closer user assists a farther user with forwarding tasks by sharing the same bandwidth, which causes interference. To overcome the interference issue, the closer user can instead assist other users in forwarding tasks by using a different bandwidth. We aim to minimize the power of the AP by joint power and bandwidth optimization while satisfying the delay and users’ computational tasks. Simulation results show that the proposed user collaboration method can overcome user interference, reduce energy consumption, and improve user performance compared with the baseline policies.



中文翻译:

无线供电协作移动边缘计算系统中的资源优化

移动边缘计算(MEC)满足移动网络的高带宽、超低时延需求,通过降低网络负载提高通信可靠性。在这项研究中,我们研究了一个无线供电的 MEC 系统,其中包括一个接入点 (AP) 和两个移动设备。使用无线电力传输技术和用户协作可以有效增强移动设备的续航能力。但是,在用户协作过程中,较近的用户通过共享相同的带宽来协助较远的用户转发任务,从而造成干扰。为了克服干扰问题,距离较近的用户可以通过使用不同的带宽来帮助其他用户转发任务。我们的目标是通过联合功率和带宽优化来最小化 AP 的功率,同时满足延迟和用户的计算任务。

更新日期:2021-07-13
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