In this work, we study massive multiple-input multiple-output (MIMO) precoders optimizing power consumption while achieving the users' rate requirements. We first characterize analytically the solutions for narrowband and wideband systems minimizing the power amplifiers (PAs) consumption in low system load, where the per-antenna power constraints are not binding. After, we focus on the asymptotic wideband regime. The power consumed by the whole base station (BS) and the high-load scenario are then also investigated. We obtain simple solutions, and the optimal strategy in the asymptotic case reduces to finding the optimal number of active antennas, relying on known precoders among the active antennas. Numerical results show that large savings in power consumption are achievable in the narrowband system by employing antenna selection, while all antennas need to be activated in the wideband system when considering only the PAs consumption, and this implies lower savings. When considering the overall BS power consumption and a large number of subcarriers, we show that significant savings are achievable in the low-load regime by using a subset of the BS antennas. While optimization based on transmit power pushes to activate all antennas, optimization based on consumed power activates a number of antennas proportional to the load.
翻译:在这项工作中,我们研究了大规模多输入多输出(MIMO)预编码器,优化功耗同时实现用户速率要求。我们首先对窄带和宽带系统进行了分析特征化,优化在低系统负载下最小化功率放大器(PAs)消耗的解决方案,其中每个天线的功率约束没有绑定。之后,我们专注于渐近宽带制度。随后也研究了整个基站(BS)消耗的功率和高负载情况。我们获得了简单的解决方案,在渐近情况下,最佳策略归结为找到激活天线中已知预编码器的最优数量。数值结果表明,在窄带系统中使用天线选择可实现大量节能,而在考虑仅PAs消耗时,宽带系统必须激活所有天线,这意味着节能更少。当考虑整个BS耗电量和大量子载波时,我们表明,通过使用BS天线子集,在低负载范围内可以实现显着的节能。虽然基于发射功率的优化会推动激活所有天线,但基于消耗功率的优化则会激活数量与负载成正比的天线。