Computation Energy Efficiency Maximization for a NOMA-Based WPT-MEC Network

被引:88
作者
Shi, Liqin [1 ]
Ye, Yinghui [1 ]
Chu, Xiaoli [2 ]
Lu, Guangyue [1 ]
机构
[1] Xian Univ Posts & Telecommun, Shaanxi Key Lab Informat Commun Network & Secur, Xian 710121, Peoples R China
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, S Yorkshire, England
关键词
Servers; Task analysis; NOMA; Radio frequency; Resource management; Wireless communication; Internet of Things; Computation energy efficiency (CEE); mobile-edge computing (MEC); nonorthogonal multiple access (NOMA); wireless power transfer (WPT); RESOURCE-ALLOCATION; WIRELESS; INTERNET;
D O I
10.1109/JIOT.2020.3048937
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Emerging smart Internet-of-Things (IoT) applications are increasingly relying on mobile-edge computing (MEC) networks, where the energy efficiency (EE) of computation is one of the most pertaining issues. In this article, considering the limited computation capacity at the MEC server and a practical nonlinear energy harvesting (EH) model for IoT devices, we propose a scheme to maximize the system computation EE (CEE) of a wireless power transfer (WPT) enabled nonorthogonal multiple access (NOMA)-based MEC network by jointly optimizing the computing frequencies and execution time of the MEC server and the IoT devices, the offloading time, the EH time and the transmit power of each IoT device, as well as the transmit power of the power beacon (PB). We formulate the joint optimization into a nonlinear fractional programming problem and devise a Dinkelbach-based iterative algorithm to solve it. By means of convex theory, we derive closed-form expressions for parts of the optimal solutions, which reveal several instrumental insights into the maximization of the system CEE. In particular, the system CEE increases as the optimal computing frequencies of both the IoT devices and the MEC server decrease, and the system CEE is maximized when the MEC server and the IoT devices use the maximum allowed time to complete their computing tasks. Simulation results demonstrate the superiority of the proposed scheme over benchmark schemes in terms of system CEE.
引用
收藏
页码:10731 / 10744
页数:14
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