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Joint design of beam selection and precoding matrices for mmWave MU-MIMO systems relying on lens antenna arrays

Joint design of beam selection and precoding matrices for mmWave MU-MIMO systems relying on lens antenna arrays
Joint design of beam selection and precoding matrices for mmWave MU-MIMO systems relying on lens antenna arrays
Wireless transmission relying on lens antenna arrays is becoming more and more attractive for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems using a limited number of radio frequency (RF) chains due to the lens’ energy-focusing capability. In this paper, we consider the joint design of the beam selection and precoding matrices in order to maximize the sum-rate of a downlink single-sided lens MU-MIMO mmWave system under transmit power constraints. We first formulate the optimization problem into a tractable form using the popular weighted minimum mean squared error
(WMMSE) approach. To solve this problem, we then propose an efficient joint beam selection and precoding design algorithm based on the innovative penalty dual decomposition (PDD) method. To reduce the design complexity, we also propose a simplified algorithm by combining the interference-aware beam selection (IA-BS) scheme with the WMMSE approach. Simulation results demonstrate that our proposed algorithms can converge in a few iterations and achieve near-optimal performance when compared to the fully digital precoding scheme, thus enabling them to outperform the competing methods.
Guo, Rongbin
b6a3a1de-d242-4b59-bfeb-0813fbdf2d5e
Cai, Yunlong
44a85b9f-185b-4078-aecd-02df90f5eab6
Zhao, Minjian
d5207a49-5f33-44b8-9e36-d574b6f2b45e
Shi, Qingjiang
b7a4b79b-d00c-444e-90c7-7569e9d83a28
Champagne, Benoit
34637814-cef4-4177-b5fd-d748742be072
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Guo, Rongbin
b6a3a1de-d242-4b59-bfeb-0813fbdf2d5e
Cai, Yunlong
44a85b9f-185b-4078-aecd-02df90f5eab6
Zhao, Minjian
d5207a49-5f33-44b8-9e36-d574b6f2b45e
Shi, Qingjiang
b7a4b79b-d00c-444e-90c7-7569e9d83a28
Champagne, Benoit
34637814-cef4-4177-b5fd-d748742be072
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Guo, Rongbin, Cai, Yunlong, Zhao, Minjian, Shi, Qingjiang, Champagne, Benoit and Hanzo, Lajos (2018) Joint design of beam selection and precoding matrices for mmWave MU-MIMO systems relying on lens antenna arrays. IEEE Journal of Selected Topics in Signal Processing. (doi:10.1109/JSTSP.2018.2822052).

Record type: Article

Abstract

Wireless transmission relying on lens antenna arrays is becoming more and more attractive for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems using a limited number of radio frequency (RF) chains due to the lens’ energy-focusing capability. In this paper, we consider the joint design of the beam selection and precoding matrices in order to maximize the sum-rate of a downlink single-sided lens MU-MIMO mmWave system under transmit power constraints. We first formulate the optimization problem into a tractable form using the popular weighted minimum mean squared error
(WMMSE) approach. To solve this problem, we then propose an efficient joint beam selection and precoding design algorithm based on the innovative penalty dual decomposition (PDD) method. To reduce the design complexity, we also propose a simplified algorithm by combining the interference-aware beam selection (IA-BS) scheme with the WMMSE approach. Simulation results demonstrate that our proposed algorithms can converge in a few iterations and achieve near-optimal performance when compared to the fully digital precoding scheme, thus enabling them to outperform the competing methods.

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Accepted/In Press date: 19 March 2018
e-pub ahead of print date: 2 April 2018

Identifiers

Local EPrints ID: 419210
URI: http://eprints.soton.ac.uk/id/eprint/419210
PURE UUID: c0b53a85-40c7-4b2b-a345-c1aef7ca3807
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 09 Apr 2018 16:30
Last modified: 18 Mar 2024 02:35

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Contributors

Author: Rongbin Guo
Author: Yunlong Cai
Author: Minjian Zhao
Author: Qingjiang Shi
Author: Benoit Champagne
Author: Lajos Hanzo ORCID iD

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