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Two-Stage Constant-Envelope Precoding for Low-Cost Massive MIMO Systems

机译:低成本大规模MIMO系统的两阶段恒定包络预编码

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摘要

Massive MIMO is a key technology to meet increasing capacity demands in 5G wireless systems. However, a base station (BS) equipped with antennas requires radio frequency (RF) chains with linear power amplifiers, which are very expensive. In this paper, we propose a two stage constant-envelope (CE) precoding scheme to enable low-cost implementation of massive MIMO BS with RF chains and nonlinear power amplifiers. Specifically, the MIMO precoder at the BS is partitioned into an RF precoder and a baseband precoder. The RF precoder is adaptive to the slow timescale channel statistics to achieve the array gain. The baseband precoder is adaptive to the fast timescale low dimensional effective channel to achieve the spatial multiplexing gain. Both the RF and baseband precoders are subject to CE constraints to reduce the implementation cost and the peak-to-average power ratio of the transmit signal. The two stage CE precoding is a challenging non-convex stochastic optimization problem and we propose an online alternating optimization algorithm which can autonomously converge to a stationary solution without explicit knowledge of channel statistics. Simulations show that the proposed solution has many advantages over various baselines.
机译:大规模MIMO是满足5G无线系统不断增长的容量需求的一项关键技术。但是,配备有天线的基站(BS)需要带有线性功率放大器的射频(RF)链,这非常昂贵。在本文中,我们提出了一种两阶段恒定包络(CE)预编码方案,以实现具有RF链和非线性功率放大器的大规模MIMO BS的低成本实现。具体地,将BS处的MIMO预编码器划分为RF预编码器和基带预编码器。 RF预编码器适应慢时标信道统计以实现阵列增益。基带预编码器适合于快速时标低维有效信道,以实现空间复用增益。 RF和基带预编码器都受到CE约束,以降低实现成本和发射信号的峰均功率比。两阶段CE预编码是一个具有挑战性的非凸随机优化问题,我们提出了一种在线交替优化算法,该算法可以自动收敛到固定解,而无需显式了解信道统计信息。仿真表明,所提出的解决方案在各种基准上均具有许多优势。

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