公平性约束下的NOMA系统功率分配算法

POWER ALLOCATION ALGORITHM FOR NOMA SYSTEM UNDER FAIRNESS CONSTRAINTS

  • 摘要: 针对传统公平性指标的取值范围受用户数影响的问题,提出一种基于速率方差的公平指标。该指标取值范围固定且灵敏度较高。基于所提公平指标,研究非正交多址系统中受组内与组间公平性约束的功率分配问题,并将该问题解耦成组间功率分配问题与组内功率分配问题。提出一种受公平约束的总吞吐量最大化的组内组间联合功率分配算法。仿真结果表明,该算法可以兼顾组内、组间及系统公平性,并在保证公平性的前提下最大化系统吞吐量。

     

    Abstract: Aiming at the problem that the value range of traditional fairness metrics is affected by the number of users, this paper proposes a fairness index based on rate variance, which has a fixed value range and high sensitivity. Based on the proposed fairness index, the power allocation problem constrained by intra-group and inter-group fairness was studied in non-orthogonal multiple access systems. This paper decoupled the problem into an inter-group power allocation problem and an intra-group power allocation problem. A joint intra-group and inter-group power allocation algorithm for maximizing the total throughput under fairness constraints was proposed. The simulation results demonstrate that this algorithm can take into account the intra-group, inter-group and system fairness, and maximize the system throughput under the premise of ensuring fairness.

     

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