Game-theoretic power allocation algorithm for downlink NOMA cellular system
Game-theoretic power allocation algorithm for downlink NOMA cellular system
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DOI：
10.1049/el.2019.2095
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发表时间：
2019-12-12
影响因子：
1.1
通讯作者：
Hanafi, E.
中科院分区：
文献类型：
--
作者：
Aldebes, R.;Dimyati, K.;Hanafi, E.
针对蜂窝下行非正交多址(NOMA)网络，提出了一种基于Glicksberg博弈的新功率分配算法。首先，提出了基于价格的用户效用函数，并证明了它的有效性和限制性。其次，根据小区内受限的发射功率和服务用户数量，使用Hessian矩阵推导电价表达式。然后，证明了唯一纳什均衡的存在性，并给出了使效用函数最大化的最优解。最后，仿真结果表明，所提出的功率分配机制在用户总数据速率和平均数据速率方面优于现有算法。
A new power allocation algorithm is proposed based on the Glicksberg game for cellular downlink non-orthogonal multiple access (NOMA) networks. First, a price-based user's utility function is proposed, and shown that it is effective and restrictive. Secondly, the Hessian matrix is used to derive an expression for power price based on the restricted transmission power and number of the served users in the cell. Then, the existence of a unique Nash equilibrium is proven and the optimum solution that maximises the utility function is presented. Finally, simulation results show that the proposed power allocation mechanism outperforms existing algorithms in terms of sum data rate and average data rate of the users.