A Hardware-Efficient Analog Network Structure for Hybrid Precoding in Millimeter Wave Systems

Xianghao Yu, Jun Zhang, Khaled B. Letaief

Research output: Journal article publicationJournal articleAcademic researchpeer-review

91 Citations (Scopus)

Abstract

Hybrid precoding has been recently proposed as a cost-effective transceiver solution for millimeter wave systems. While the number of radio frequency chains has been effectively reduced in existing works, a large number of high-precision phase shifters are still needed. Practical phase shifters are with coarsely quantized phases, and their number should be reduced to a minimum due to cost and power consideration. In this paper, we propose a novel hardware-efficient implementation for hybrid precoding, called the fixed phase shifter (FPS) implementation. It only requires a small number of phase shifters with quantized and fixed phases. To enhance the spectral efficiency, a switch network is put forward to provide dynamic connections from phase shifters to antennas, which is adaptive to the channel states. An effective alternating minimization algorithm is developed with closed-form solutions in each iteration to determine the hybrid precoder and the states of switches. Moreover, to further reduce the hardware complexity, a group-connected mapping strategy is proposed to reduce the number of switches. Simulation results show that the FPS fully-connected hybrid precoder achieves higher hardware efficiency with much fewer phase shifters than existing proposals. Furthermore, the group-connected mapping achieves a good balance between spectral efficiency and hardware complexity.

Original languageEnglish
Pages (from-to)282-297
Number of pages16
JournalIEEE Journal on Selected Topics in Signal Processing
Volume12
Issue number2
DOIs
Publication statusPublished - May 2018
Externally publishedYes

Keywords

  • Alternating minimization
  • hardware efficiency
  • hybrid precoding
  • large-scale antenna arrays
  • millimeter wave communications

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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