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Spectral and energy efficient power allocation for MIMO broadcast channels with individual delay and QoS constraints
Journal of Communications and Networks ( IF 2.9 ) Pub Date : 2020-10-01 , DOI: 10.1109/jcn.2020.000027
Jae-Hong Kwon , Jungil Cho , Byunggil Yu , Seongju Lee , Inha Jung , Chanho Hwang , Young-Chai Ko

In this paper, we propose a novel power allocation algorithm to maximize the spectral efficiency (SE) and energy efficiency (EE) of multiple-input multiple-output (MIMO) broadcast channels under individual quality of service (QoS) constraints. In several wireless applications, one of the most important factors for QoS guarantee is delay outage. To address the impact of delay outage occurring in the link layer, effective capacity (EC) that means the maximum constant arrival rate satisfying statistical delay-QoS constraint is considered. Using a novel performance metric, effective-EE, which is defined as EC divided by total power consumption, we formulate an EC and effective-EE maximization problem with QoS constraints as an adaptive power allocation problem. By applying Lagrangian method, we solve optimization problem and propose an optimal power allocation algorithm. Simulation results demonstrate that our proposed algorithm can improve the EC and effective-EE performance.

中文翻译:

具有单独延迟和 QoS 约束的 MIMO 广播信道的频谱和节能功率分配

在本文中,我们提出了一种新颖的功率分配算法,以在个体服务质量 (QoS) 约束下最大化多输入多输出 (MIMO) 广播信道的频谱效率 (SE) 和能量效率 (EE)。在一些无线应用中,QoS 保证的最重要因素之一是延迟中断。为了解决链路层发生延迟中断的影响,考虑有效容量 (EC),即满足统计延迟-QoS 约束的最大恒定到达率。使用一种新的性能指标,有效 EE,定义为 EC 除以总功耗,我们将具有 QoS 约束的 EC 和有效 EE 最大化问题制定为自适应功率分配问题。应用拉格朗日方法,我们解决了优化问题并提出了一种最优功率分配算法。仿真结果表明,我们提出的算法可以提高EC和有效EE性能。
更新日期:2020-10-01
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