DFT codebook-based hybrid precoding for multiuser mmWave massive MIMO systems

EURASIP journal on advances in signal processing

article

Huang, Yu¹  Liu, Chen¹  Song, Yunchao¹  Yu, Xiaolei³ 

[1] College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications;National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology, Nanjing University of Posts and Telecommunications;National Quality Supervision and Testing Centre for RFID Products (Jiangsu), Jiangsu Institute of Quality and Standardization

关键词: mmWave;    Massive MIMO;    Hybrid precoding;    DFT;    Codebook;   

DOI  :  10.1186/s13634-020-00669-4

来源: SpringerOpen

【 摘 要 】

In millimeter wave (mmWave) massive MIMO (multiple-input multiple-output) systems, it is difficult to apply conventional digital precoding techniques due to hardware constraints. Fortunately, the hybrid precoding can be utilized to reduce power consumption and high costs. In this paper, a codebook-based hybrid precoding scheme for downlink multiuser mmWave massive MIMO systems is proposed. Our main idea is that the analog and digital precoders are designed separately to maximize the achievable sum rate. In the analog domain, we take the potential multiuser conflict and angular domain of channel matrix into consideration and propose an efficient conflicting-aware (CA) beam-column selection method to obtain a discrete Fourier transform (DFT) codebook-based analog precoder. According to the CA method, all users are classified into two groups, i.e., conflicting users (CUs) and non-conflicting users (NCUs). Different criteria of beam-column selection are applied for the two user groups. Then, zero-forcing (ZF) digital precoder is directly used in the digital domain. Simulation results illustrate that our proposed algorithm which has low complexity achieves satisfactory SR performance, which approaches that of the full digital precoding (the upper bound) and outperforms other existing hybrid algorithms.

【 授权许可】

CC BY