Towards optimal resource allocation in wireless powered communication networks with non-orthogonal multiple access

被引：18

作者：

Aboelwafa, Mariam M. N. ^{[1
]}

Abd-Elmagid, Mohamed A. ^{[2
]}

Biason, Alessandro ^{[3
]}

Seddik, Karim G. ^{[1
]}

ElBatt, Tamer ^{[4
]}

Zorzi, Michele ^{[3
]}

机构：

[1] Amer Univ Cairo, ECNG Dept, AUC Ave, New Cairo 11835, Egypt

[2] Virginia Tech, Dept ECE, Blacksburg, VA 24060 USA

[3] Univ Padua, DEI, Via Gradenigo 6b, I-35131 Padua, Italy

[4] Amer Univ Cairo, Dept CSE, AUC Ave, New Cairo 11835, Egypt

来源：

AD HOC NETWORKS | 2019年 / 85卷

基金：

欧盟地平线“2020”;

关键词：

Energy harvesting; Non-orthogonal multiple access; Successive interference cancellation; Wireless powered communication networks; Optimization; SWIPT; INFORMATION;

D O I：

10.1016/j.adhoc.2018.10.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The optimal allocation of time and energy resources is characterized in a Wireless Powered Communication Network (WPCN) with Non-Orthogonal Multiple Access (NOMA). We consider two different formulations; in the first one (max-sum), the sum-throughput of all users is maximized. In the second one (max-min), and targeting fairness among users, we consider maximizing the min-throughput of all users. Under the above two formulations, two NOMA decoding schemes are studied, namely, Low Complexity Decoding (LCD) and Successive Interference Cancellation Decoding (SICD). Due to the non-convexity of three of the studied optimization problems, we consider an approximation approach, in which the non-convex optimization problem is approximated by a convex optimization problem, which satisfies all the constraints of the original problem. The approximate convex optimization problem can then be solved iteratively. The results show a trade-off between maximizing the sum throughout and achieving fairness through maximizing the minimum throughput. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：1 / 10

页数：10

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