Low Complexity User Selection With Optimal Power Allocation in Downlink NOMA

被引：28
|
作者：
Nain, Gaurav [1 ]
Das, Suvra Sekhar [2 ]
Chatterjee, Aritra [2 ]
机构：
[1] Indian Inst Technol Kharagpur, Dept Elect & Elect Commun Engn, Kharagpur 721302, W Bengal, India
[2] Indian Inst Technol Kharagpur, GS Sanyal Sch Telecommun, Kharagpur 721302, W Bengal, India
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2018年 / 7卷 / 02期
关键词：
Non orthogonal multiple access (NOMA); optimal power allocation; low complexity user selection; weighted sum rate maximization; OFDM; successive interference cancellation (SIC); superposition coding; CAPACITY; SYSTEMS; CHANNEL;
D O I：
10.1109/LWC.2017.2762303
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This letter investigates user selection and power allocation among users for an orthogonal frequency division multiplexing-based nonorthogonal multiple access scheme. We have proposed a low-complexity method for user selection by removing users who do not satisfy the derived condition. A closed form solution for optimal power allocation to the chosen users is derived by maximizing the weighted sum rate of the users. Results show that the proposed method achieves a performance similar to the optimal scheme employing exhaustive user search but with much lower complexity.
引用
收藏
页码：158 / 161
页数：4
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