Distributed Digital and Hybrid Beamforming Schemes with MMSE-SIC Receivers for the MIMO Interference Channel
IEEE Transactions on Vehicular Technology(2019)
摘要
This paper addresses the problem of weighted sum-rate maximization and mean squared error (MSE) minimization for the multiple-input multiple-output (MIMO)
interference
channel. Specifically, we consider a weighted minimum MSE architecture where each receiver employs successive interference cancellation (SIC) to separate the various received data streams and derive a
hybrid beamforming
scheme, where the transmitters operate with a number of radio frequency chains smaller than the number of antennas, particularly suited for millimeter-wave channels and 5G applications. To derive our proposed schemes, we first study the relationship between sum-rate maximization and weighted MSE minimization when using SIC receivers, assuming fully digital beamforming. Next, we consider the important—and, as it turns out, highly non-trivial—case where the transmitters employ hybrid digital/analog beamforming, developing a distributed joint hybrid precoding and SIC-based combining algorithm. Moreover, for practical implementation, we propose a signaling scheme that utilizes a common broadcast channel and facilitates the acquisition of channel state information, assuming minimal assistance from a central node such as a cellular base station. Numerical results show that both the proposed weighted MMSE-SIC schemes exhibit great advantages with respect to their linear counterparts in terms of complexity, feedback information, and performance.
更多查看译文
关键词
MIMO communication,Receivers,Array signal processing,Radio frequency,Computer architecture,Silicon carbide,Radio transmitters
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络