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

Xianghao Yu, Jun Zhang, Khaled Letaief

Research output: Contribution to journalArticle

13 Citations (Scopus)


Hybrid precoding has been recently proposed as a cost-effective transceiver solution for millimeter wave (mm-wave) systems. While the number of radio frequency (RF) chains has been effectively reduced in existing works, a large number of high-precision phase shifters are still needed. Practical phase shifters use 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 the phase shifters to the antennas, which is adaptive to the channel states. An effective alternating minimization (AltMin) algorithm is developed with closed-form solutions in each iteration to design the hybrid precoder and the states of switches. To further improve the hardware efficiency, 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 efficiency.

Original languageEnglish
JournalIEEE Journal on Selected Topics in Signal Processing
Publication statusAccepted/In press - 8 Mar 2018
Externally publishedYes



  • Alternating minimization
  • Hardware
  • hardware efficiency
  • Heuristic algorithms
  • hybrid precoding
  • large-scale antenna arrays
  • millimeter wave communications
  • Phase shifters
  • Precoding
  • Radio frequency
  • Signal processing algorithms
  • Switches

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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