Convexity of Weighted Sum Rate Maximization in NOMA Systems

被引：55

作者：

Wang, Jiaheng ^{[1
]}

Peng, Qian ^{[1
]}

Huang, Yongming ^{[1
]}

Wang, Hui-Ming ^{[2
]}

You, Xiaohu ^{[1
]}

机构：

[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210018, Jiangsu, Peoples R China

[2] Xi An Jiao Tong Univ, Minist Educ, Key Lab Intelligent Networks & Network Secur, Xian 710049, Peoples R China

来源：

IEEE SIGNAL PROCESSING LETTERS | 2017年 / 24卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Convexity; NOMA; QoS; weighted sum rate maximization; NONORTHOGONAL MULTIPLE-ACCESS; DOWNLINK;

D O I：

10.1109/LSP.2017.2722546

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This letter investigates the optimal power allocation for weighted sum rate maximization (WSRM) in nonorthogonal multiple access (NOMA) systems with power order and qualityof- service (QoS) constraints. We show that the NOMA WSRM problem is a convex problem under some condition of the user weights. The optimal solution to the WSRM problem without QoS constraints is analytically characterized in two cases. Then, we investigate the feasibility of the WSRM problem with QoS constraints. We further show that the power order constraint can be omitted without loss of any optimality under some mild condition of the QoS thresholds, which enables us to derive an analytical expression of the optimal power allocation.

引用

页码：1323 / 1327

页数：5

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