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Weighted sum rate maximization of the mmWave cell-free MIMO downlink relying on hybrid precoding

Weighted sum rate maximization of the mmWave cell-free MIMO downlink relying on hybrid precoding
Weighted sum rate maximization of the mmWave cell-free MIMO downlink relying on hybrid precoding
The cell-free MIMO concept relying on hybrid precoding constitutes an innovative technique capable of dramatically increasing the network capacity of millimeter-wave (mmWave) communication systems. It dispenses with the cell boundary of conventional multi-cell MIMO systems, while drastically reducing the power consumption by limiting the number of radio frequency (RF) chains at the access points (APs). In this paper, we aim for maximizing the weighted sum rate (WSR) of mmWave cell-free MIMO systems by conceiving a lowcomplexity
hybrid precoding algorithm. We formulate the WSR optimization problem subject to the transmit power constraint for each AP and the constant-modulus constraint for the phase shifters of the analog precoders. A block coordinate descent (BCD) algorithm is proposed for iteratively solving the problem.
In each iteration, the classic Lagrangian multiplier method and the penalty dual decomposition (PDD) method are combined for obtaining near-optimal hybrid analog/digital precoding matrices. Furthermore, we extend our proposed algorithm for deriving closed-form expressions for the precoders of fully digital cell-free MIMO systems. Moreover, we present the convergency analysis
and complexity analysis of our proposed method. Finally, our simulation results demonstrate the superiority of the algorithms proposed for both fully digital and hybrid precoding matrices.
1536-1276
Feng, Chenghao
fe3657b4-5ee4-44cd-b609-7f10d031da0b
Shen, Wenqian
c3ad3e00-7ecf-4332-bfd0-b5cf05734ae5
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Feng, Chenghao
fe3657b4-5ee4-44cd-b609-7f10d031da0b
Shen, Wenqian
c3ad3e00-7ecf-4332-bfd0-b5cf05734ae5
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Feng, Chenghao, Shen, Wenqian, An, Jianping and Hanzo, Lajos (2021) Weighted sum rate maximization of the mmWave cell-free MIMO downlink relying on hybrid precoding. IEEE Transactions on Wireless Communications. (doi:10.1109/TWC.2021.3113458). (In Press)

Record type: Article

Abstract

The cell-free MIMO concept relying on hybrid precoding constitutes an innovative technique capable of dramatically increasing the network capacity of millimeter-wave (mmWave) communication systems. It dispenses with the cell boundary of conventional multi-cell MIMO systems, while drastically reducing the power consumption by limiting the number of radio frequency (RF) chains at the access points (APs). In this paper, we aim for maximizing the weighted sum rate (WSR) of mmWave cell-free MIMO systems by conceiving a lowcomplexity
hybrid precoding algorithm. We formulate the WSR optimization problem subject to the transmit power constraint for each AP and the constant-modulus constraint for the phase shifters of the analog precoders. A block coordinate descent (BCD) algorithm is proposed for iteratively solving the problem.
In each iteration, the classic Lagrangian multiplier method and the penalty dual decomposition (PDD) method are combined for obtaining near-optimal hybrid analog/digital precoding matrices. Furthermore, we extend our proposed algorithm for deriving closed-form expressions for the precoders of fully digital cell-free MIMO systems. Moreover, we present the convergency analysis
and complexity analysis of our proposed method. Finally, our simulation results demonstrate the superiority of the algorithms proposed for both fully digital and hybrid precoding matrices.

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Accepted/In Press date: 14 September 2021

Identifiers

Local EPrints ID: 451602
URI: http://eprints.soton.ac.uk/id/eprint/451602
ISSN: 1536-1276
PURE UUID: 9fc53734-aa3d-4731-be91-5cfc7fd67624
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 13 Oct 2021 16:31
Last modified: 14 Oct 2021 01:33

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Contributors

Author: Chenghao Feng
Author: Wenqian Shen
Author: Jianping An
Author: Lajos Hanzo ORCID iD

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