Coordinated Hybrid Precoding for Energy-Efficient Millimeter Wave Systems
Paper in proceeding, 2018

Hybrid precoding/combining architectures, which use fewer radio frequency (RF) chains than the number of
antennas, have the potential to reduce energy consumption and provide high data rate for millimeter wave systems with large antenna arrays. In this paper, by allowing joint transmissions from multiple base stations (BSs), we jointly optimize over the hybrid precoders and the BSs sleep/active modes such that the total power consumption is minimized with per-user quality-of-service constraints. We present a decoupled hybrid beamforming scheme where the analog precoders are designed based on the equal gain transmission method and the digital precoders are found by solving a convex semidefinite problem. We define realistic models for the hardware power consumption and the channel’s blocking probabilities to compare the performance of our scheme with the fully-digital precoding scheme and to assess the value of BS cooperation. The simulation results show that our proposed method results in almost the same RF transmit power as the fully-digital precoding scheme while saving considerable hardware power due to the reduced number of RF chains and digital-to-analog converters. Moreover, the network densification is shown to further reduce the total power consumption through the optimal cooperative BS active/sleep mode selection.


Chao Fang

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Behrooz Makki


Jingya Li


Tommy Svensson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

978-1-5386-3512-4 (ISBN)

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Kalamata, Greece,

Areas of Advance

Information and Communication Technology

Subject Categories


Communication Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering



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