On Power Minimization for IRS-Aided Downlink NOMA Systems

被引：84

作者：

Wang, Hong ^{[1
]}

Liu, Chen ^{[2
]}

Shi, Zheng ^{[3
]}

Fu, Yaru ^{[4
]}

Song, Rongfang ^{[1
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Sch Commun & Informat Engn, Nanjing 210003, Peoples R China

[2] Nanjing Univ Posts & Telecommun, Coll Elect & Opt Engn, Nanjing 210003, Peoples R China

[3] Jinan Univ, Sch Intelligent Syst Sci & Engn, Zhuhai 519070, Peoples R China

[4] Open Univ Hong Kong, Sch Sci & Technol, Hong Kong, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2020年 / 9卷 / 11期

基金：

中国国家自然科学基金;

关键词：

NOMA; Optimization; Downlink; Signal to noise ratio; Interference; Resource management; Array signal processing; IRS; power allocation; phase shift;

D O I：

10.1109/LWC.2020.2999097

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Both intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) are the cutting-edge technologies for future wireless communications. In this letter, we examine the effectiveness of IRS in NOMA system with respect to transmit power consumption. Towards this end, the power minimization problem for IRS-aided downlink NOMA system is formulated, taking into consideration the constraint of each user's minimum signal-to-interference-ratio (SINR). To solve the joint power control and IRS phase shifts optimization problem, we first explore the relationship between individual user's transmit power and the variables of phase shifts. Then, we solve the phase shift determination problem via the sequential rotation algorithm. Numerical results show that our designed joint optimization algorithm can significantly reduce the required transmit power when compared with various benchmarking schemes.

引用

页码：1808 / 1811

页数：4

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