UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation

Payami, S; Masouros, C; Sellathurai, M; (2019) Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation. In: Al-Hammadi, Arif and Al-Mualla, Mohammed, (eds.) Proceedings of IEEE GLOBECOM 2018. IEEE Xplore: New York, USA. Green open access

[thumbnail of 1570450420.pdf]
Preview
Text
1570450420.pdf - Accepted Version

Download (240kB) | Preview

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.

Type: Proceedings paper
Title: Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation
ISBN: 978-1-5386-4727-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/GLOCOM.2018.8647690
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Radio frequency, Phase shifters, Array signal processing, Antennas, Channel estimation, MIMO communication, Fading channels
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10079671
Downloads since deposit
164Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item