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

13 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

Fingerprint

Channel Estimation
beamforming
Beamforming
Channel estimation
Low Complexity
Phase shifters
Channel state information
Channel State Information
Rayleigh fading
Switch
Switches
Rayleigh Fading
Multiple-input multiple-output (MIMO) Systems
Rayleigh Fading Channel
Codebook
Estimation Error
Data Transmission
Energy Efficient
Fading channels
switches

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

Cite this

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
Payami, Sohail ; Masouro, Christos ; Sellathurai, Mathini. / Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation. 2018 IEEE Global Communications Conference (GLOBECOM). IEEE, 2019. (Global Communications Conference (GLOBECOM)).
@inproceedings{8fcf188806ed4a37ba6e004f90935992,
title = "Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation",
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.",
keywords = "hybrid beamforming, Massive MIMO, phase shifter selection, quantized beamforming.",
author = "Sohail Payami and Christos Masouro and Mathini Sellathurai",
year = "2019",
month = "2",
day = "21",
doi = "10.1109/GLOCOM.2018.8647690",
language = "English",
series = "Global Communications Conference (GLOBECOM)",
publisher = "IEEE",
booktitle = "2018 IEEE Global Communications Conference (GLOBECOM)",
address = "United States",

}

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, 2018 IEEE Global Communications Conference, Abu Dhabi, United Arab Emirates, 9/12/18. https://doi.org/10.1109/GLOCOM.2018.8647690

Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation. / Payami, Sohail; Masouro, Christos; Sellathurai, Mathini.

2018 IEEE Global Communications Conference (GLOBECOM). IEEE, 2019. 8647690 (Global Communications Conference (GLOBECOM)).

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

TY - GEN

T1 - Low-Complexity and Robust Quantized Hybrid Beamforming and Channel Estimation

AU - Payami, Sohail

AU - Masouro, Christos

AU - Sellathurai, Mathini

PY - 2019/2/21

Y1 - 2019/2/21

N2 - 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.

AB - 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.

KW - hybrid beamforming

KW - Massive MIMO

KW - phase shifter selection

KW - quantized beamforming.

UR - http://www.scopus.com/inward/record.url?scp=85063480250&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2018.8647690

DO - 10.1109/GLOCOM.2018.8647690

M3 - Conference contribution

AN - SCOPUS:85063480250

T3 - Global Communications Conference (GLOBECOM)

BT - 2018 IEEE Global Communications Conference (GLOBECOM)

PB - IEEE

ER -

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