论文标题
MU-MIMO的定量意识到的预编码有限地容量
Quantisation-aware Precoding for MU-MIMO with Limited-capacity Fronthaul
论文作者
论文摘要
5G及以后的基站使用高级天线系统（AASS），其中多个被动天线元件和无线电单元被整合到一个盒子中。这样一个系统的关键瓶颈是AAS和基带单元（BBU）之间的数字fronthaul，其容量有限。在本文中，我们研究了用于通过多用户多输入多输出（MU-MIMO）通道的预编码下链路传输的AA。首先，我们介绍当在BBU上计算预编码器然后量化以通过Fronthaul发送的基线量化 - Unaware预编码方案。我们提出了一种新的预编码设计，该设计意识到了Fronthaul量化。我们制定一个优化问题，以最大程度地减少接收器侧的平方误差。我们将问题重写以利用混合构成编程来解决它。数值结果表明，我们提出的预编码在总和速率方面极大地超过了量化量子的预码。
Base stations in 5G and beyond use advanced antenna systems (AASs), where multiple passive antenna elements and radio units are integrated into a single box. A critical bottleneck of such a system is the digital fronthaul between the AAS and baseband unit (BBU), which has limited capacity. In this paper, we study an AAS used for precoded downlink transmission over a multi-user multiple-input multiple-output (MU-MIMO) channel. First, we present the baseline quantization-unaware precoding scheme created when a precoder is computed at the BBU and then quantized to be sent over the fronthaul. We propose a new precoding design that is aware of the fronthaul quantization. We formulate an optimization problem to minimize the mean squared error at the receiver side. We rewrite the problem to utilize mixed-integer programming to solve it. The numerical results manifest that our proposed precoding greatly outperforms quantization-unaware precoding in terms of sum rate.
