A Novel Low Complexity Power Allocation Algorithm for downlink NOMA Networks

被引：0
|
作者：
Sindhu, P. [1 ]
Deepak, K. S. [1 ]
Hameed, Abdul K. M. [2 ]
机构：
[1] Govt Engn Coll, Dept Elect Engn, Kozhikode, Kerala, India
[2] Govt Engn Coll, Dept Elect Engn, Wayanad, Kerala, India
来源：
2018 IEEE RECENT ADVANCES IN INTELLIGENT COMPUTATIONAL SYSTEMS (RAICS) | 2018年
关键词：
NOMA; downlink; power allocation; optimization; WSRM; power order constraint; QoS; SIC; NONORTHOGONAL MULTIPLE-ACCESS; SUM RATE; MAXIMIZATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates optimal power distribution which guarantees Quality of Service (QoS) for Weighted Sum Rate Maximization (WSRM) in downlink Non-Orthogonal Multiple Access (NOMA) networks. For a two-user WSRM problem, closed form solution is derived. Based on this result, a novel power allocation algorithm for a multi-user scenario is presented in this paper. The proposed algorithm has the following advantages: solution exists under all user weight-ratio scenarios irrespective of the convexity of the optimization problem; successful Successive Interference Cancellation (SIC) decoding is guaranteed; has low complexity; provides optimal solution. Extensive simulation results are provided to evaluate the performance of the proposed algorithm under different user weight-ratio scenarios.
引用
收藏
页码：36 / 40
页数：5
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