Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation

Sohail Payami, Christos Masouro, Mathini Sellathurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
17 Downloads (Pure)

Abstract

Hybrid beamforming with phase shifters and switches has been identified as a low-cost and energy-efficient approach to harness the benefits of massive multiple-input multiple-output (MIMO) systems. In this paper, three subconnected hybrid beamforming structures with different combinations of phase shifters and switches will be considered. Firstly we assume that perfect channel state information (CSI) is available and the wireless channel follows uncorrelated Rayleigh fading model. Then, we derive the closed-form expressions of the low-complexity beamformers and their asymptotic achievable sum-rates. Based on the proposed beamformers, we develop quantized hybrid beamforming and channel estimation techniques for correlated Rayleigh fading channels. These methods rely on designing novel RF codebooks and they can be used in both CSI acquisition and data transmission phases. The proposed methods benefit from low computational complexity, low signaling overhead and robustness to estimation errors. Moreover, they are applicable to both frequency and time division duplex systems.

Original languageEnglish
Title of host publication2018 IEEE Global Communications Conference (GLOBECOM)
PublisherIEEE
ISBN (Electronic)9781538647271
DOIs
Publication statusPublished - 21 Feb 2019
Event2018 IEEE Global Communications Conference - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018

Publication series

NameGlobal Communications Conference (GLOBECOM)
PublisherIEEE
ISSN (Electronic)2576-6813

Conference

Conference2018 IEEE Global Communications Conference
Abbreviated titleGLOBECOM 2018
CountryUnited Arab Emirates
CityAbu Dhabi
Period9/12/1813/12/18

Keywords

  • hybrid beamforming
  • Massive MIMO
  • phase shifter selection
  • quantized beamforming.

ASJC Scopus subject areas

  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Modelling and Simulation
  • Instrumentation
  • Computer Networks and Communications

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    Payami, S., Masouro, C., & Sellathurai, M. (2019). Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation. In 2018 IEEE Global Communications Conference (GLOBECOM) [8647690] (Global Communications Conference (GLOBECOM)). IEEE. https://doi.org/10.1109/GLOCOM.2018.8647690