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Performance analysis and SINR-based power allocation strategies for downlink NOMA networks
IET Communications ( IF 1.5 ) Pub Date : 2020-04-30 , DOI: 10.1049/iet-com.2018.6112
Mohammed W. Baidas 1 , Emad Alsusa 2 , Khairi A. Hamdi 2
Affiliation  

This study analyses the performance of downlink non-orthogonal multiple-access (NOMA) networks over independent but not necessarily identically distributed Rayleigh fading channels by deriving closed-form expressions for the average signal-to-interference-plus-noise ratio (SINR), average achievable rate, and outage probability of all network users. Moreover, SINR-based power allocation strategies are studied. Specifically, the optimisation problems of max–min SINR, multi-objective SINR, sum-SINR and proportional-fairness-SINR maximisation under minimum SINR constraints are formulated and shown to be non-convex. Additionally, the problems of total power and sum-SINR minimisation are also formulated. Particularly, the formulated problems take the form of linear-fractional programming problems. By applying intelligent reformulation techniques, these problems have been reformulated into convex optimisation problems, and thus efficiently solved. Numerical evaluations are presented to validate the derived closed-form expressions for the different performance metrics, which are found to be in agreement with the network simulation results. More importantly, it has been demonstrated that the user with the best channel conditions achieves full diversity order, whereas all the other users achieve diversity orders equivalent to their ordered channel conditions. Finally, the reformulated power allocation strategies are evaluated, and shown to coincide with the original problem formulations.

中文翻译:

下行NOMA网络的性能分析和基于SINR的功率分配策略

这项研究通过推导平均信噪比(SINR)的闭式表达式,分析了独立但不一定相同分布的瑞利衰落信道上的下行链路非正交多址(NOMA)网络的性能,平均可达到的速率,以及所有网络用户的中断概率。此外,研究了基于SINR的功率分配策略。具体来说,制定了在最小SINR约束下最大-最小SINR,多目标SINR,和SINR和比例公平SINR最大化的优化问题,并证明它们是非凸的。另外,还提出了总功率和SINR最小化的问题。特别地,所提出的问题采取线性分数规划问题的形式。通过应用智能配方技术,这些问题已被重新表述为凸优化问题,从而得到有效解决。提出了数值评估,以验证针对不同性能指标得出的闭合形式表达式,发现该表达式与网络仿真结果一致。更重要的是,已经证明具有最佳信道条件的用户获得了完整的分集顺序,而所有其他用户都获得了与其订购的信道条件等效的分集命令。最后,对重新制定的功率分配策略进行了评估,并显示出与原始问题公式一致。提出了数值评估,以验证针对不同性能指标得出的闭合形式表达式,发现该表达式与网络仿真结果一致。更重要的是,已经证明具有最佳信道条件的用户获得了完整的分集顺序,而所有其他用户都获得了与其订购的信道条件等效的分集顺序。最后,对重新制定的功率分配策略进行了评估,并显示出与原始问题公式一致。提出了数值评估,以验证针对不同性能指标得出的闭合形式表达式,发现该表达式与网络仿真结果一致。更重要的是,已经证明具有最佳信道条件的用户获得了完整的分集顺序,而所有其他用户都获得了与其订购的信道条件等效的分集命令。最后,对重新制定的功率分配策略进行了评估,并显示出与原始问题公式一致。
更新日期:2020-04-30
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