论文标题
蜂窝大规模MIMO系统中的上行链路功率控制：应对拥塞问题
Uplink Power Control in Cellular Massive MIMO Systems: Coping With the Congestion Issue
论文作者
论文摘要
5G和Be-Beyond系统的主要目标是同时为许多用户服务，每个用户都以节能的方式为所需的光谱效率（SE）服务。网络容量不能总是满足所有SE要求，例如，当某些用户的渠道条件不佳时，尤其是在蜂窝拓扑中发生的情况，因此可能会发生拥堵。通过将上行链路传输中的飞行员和数据功能视为优化变量，本文为细胞大量MIMO（多个输入多输出）系统制定并解决了可以处理拥塞问题的能源效率问题。提出了基于交替优化方法的新算法以获得定点解决方案。数值结果表明，即使发生交通拥堵，提出的算法也可以为许多用户提供所需的SES。
One main goal of 5G-and-beyond systems is to simultaneously serve many users, each having a requested spectral efficiency (SE), in an energy-efficient way. The network capacity cannot always satisfy all the SE requirements, for example, when some users have bad channel conditions, especially happening in a cellular topology, and therefore congestion can happen. By considering both the pilot and data powers in the uplink transmission as optimization variables, this paper formulates and solves an energy-efficiency problem for cellular Massive MIMO (Multiple Input Multiple Output) systems that can handle the congestion issue. New algorithms based on the alternating optimization approach are proposed to obtain a fixed-point solution. Numerical results manifest that the proposed algorithms can provide the demanded SEs to many users even when the congestion happens.
