Joint Transceiver Design With Antenna Selection for Large-Scale MU-MIMO mmWave Systems
Joint Transceiver Design With Antenna Selection for Large-Scale MU-MIMO mmWave Systems
复制标题
大规模 MU-MIMO 毫米波系统的联合收发器设计和天线选择
DOI：
10.1109/jsac.2017.2720197
复制
发表时间：
2017
影响因子：
16.4
通讯作者：
Champagne Benoit
中科院分区：
文献类型：
--
作者：
Zhai Xiongfei;Cai Yunlong;Shi Qingjiang;Zhao Minjian;Li Geoffrey Ye;Champagne Benoit
本文研究了大规模多用户多输入多输出毫米波系统的上行链路，其中多个移动的站（MS）与一个基站（BS）配备了一个大规模的天线阵列，应用于第五代无线网络。在这种情况下，混合收发器沿着天线选择的使用可以显著降低模拟移相器和低噪声放大器的实现成本和能耗。我们的目标是联合设计MS波束成形向量，混合接收矩阵（基带和模拟），在BS的天线选择矩阵，以最大限度地提高可实现的系统和速率下的一组约束。相应的优化问题是非凸的，难以解决，主要是由于接收天线的选择和常数模的模拟接收矩阵的约束。通过利用问题的特殊结构和线性松弛，我们首先将这个问题转化为三个子问题，这是通过交替优化方法求解。后者迭代地更新天线选择矩阵，发射波束成形向量，和混合接收矩阵，通过顺序地解决每个子问题，同时保持其他变量固定。具体地说，天线选择矩阵通过凹凸过程进行优化;加权均方误差最小化方法被用来寻找发射波束形成器的解决方案;和混合接收机通过流形优化获得。分析了算法的收敛性，并通过仿真验证了算法的有效性.
This paper considers the uplink of large-scale multiple-user multiple-input multiple-output millimeter wave systems, where several mobile stations (MSs) communicate with a single base station (BS) equipped with a large-scale antenna array, for application to fifth generation wireless networks. Within this context, the use of hybrid transceivers along with antenna selection can significantly reduce the implementation cost and energy consumption of analog phase shifters and low-noise amplifiers. We aim to jointly design the MS beamforming vectors, the hybrid receiving matrices (baseband and analog), and the antenna selection matrix at the BS in order to maximize the achievable system sum-rate under a set of constraints. The corresponding optimization problem is nonconvex and difficult to solve, mainly due to the receive antenna selection and constant modulus constraints on the analog receiving matrix. By exploiting the special structure of the problem and linear relaxation, we first convert this problem into three subproblems, which are solved via an alternating optimization method. The latter iteratively updates the antenna selection matrix, the transmit beamforming vectors, and the hybrid receiving matrices by sequentially addressing each subproblem while keeping the other variables fixed. Specifically, the antenna selection matrix is optimized via the concave–convex procedure; the weighted mean-square error minimization approach is used to find the solution for the transmit beamformer; and the hybrid receiver is obtained via manifold optimization. The convergence of the proposed algorithm is analyzed and its effectiveness is verified by simulation.