This paper studies the transmit power optimization in a multi-cell massive multiple-input multiple-output (MIMO) system. To overcome the scalability issue of network-wide max-min fairness (NW-MMF), we propose a novel power control (PC) scheme. This scheme maximizes the geometric mean (GM) of the per-cell max-min spectral efficiency (SE). To solve this new optimization problem, we prove that it can be rewritten in a convex form and then solved using standard tools. To provide a fair comparison with the available utility functions in the literature, we solve the network-wide proportional fairness (NW-PF) PC as well. The NW-PF focuses on maximizing the sum SE, thereby ignoring fairness, but gives some extra attention to the weakest users. The simulation results highlight the benefits of our model which is balancing between NW-PF and NW-MMF.
翻译:本文研究了多细胞大规模多投入多产出(MIMO)系统中的传输电源优化。为了克服整个网络最大公平(NW-MMF)的可扩缩性问题,我们提出了一个新的电力控制(PC)计划。该计划最大限度地提高了每个细胞最大光谱效率(SE)的几何平均值(GM) 。为了解决这个新的优化问题,我们证明它可以以曲线形式重新写成,然后使用标准工具加以解决。为了与文献中现有的实用功能进行公平的比较,我们还解决了整个网络的按比例均匀(NW-PF)PC(N-PF)问题。NW-PF侧重于使SE最大化,从而忽略了公平性,但给予最弱的用户更多的关注。模拟结果突出了我们模型的好处,这种模型正在平衡着NW-PF和NW-MMF。