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Dynamic hybrid precoding relying on twin-resolution phase shifters in millimeter-wave communication systems

Dynamic hybrid precoding relying on twin-resolution phase shifters in millimeter-wave communication systems
Dynamic hybrid precoding relying on twin-resolution phase shifters in millimeter-wave communication systems
Hybrid analog/digital precoding in millimeter-wave (mmWave) multi-input multi-output (MIMO) systems is capable of achieving the near-optimal full-digital performance at reduced hardware cost and power consumption compared to its full-RF digital counterpart. However, having numerous phase shifters is still costly, especially when the phase shifters are of high resolution. In this paper, we propose a novel twin-resolution phase-shifter network for mmWave MIMO systems, which reduces the power consumption of an entirely high-resolution network, whilst mitigating the severe array gain reduction of an entirely low-resolution network. The connections between the twin phase shifters having different resolutions and the antennas are either fixed or dynamically configured. In the latter, we jointly design the phase-shifter network and the hybrid precoding matrix, where the phase of each entry in the analog precoding matrix can be dynamically designed according to the required resolution. This method is slightly modified for the fixed network’s hybrid precoding matrix. Furthermore, we extend the proposed method to multi-user MIMO systems and provide its performance analysis. Our simulation results show that the proposed dynamic hybrid precoding method strikes an attractive performance vs. power consumption trade-off.
1536-1276
Feng, Chenghao
fe3657b4-5ee4-44cd-b609-7f10d031da0b
Shen, Wenqian
c3ad3e00-7ecf-4332-bfd0-b5cf05734ae5
Gao, Xinyu
49d41125-a198-493e-b310-8513c9e31607
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
Gao, Xinyu
49d41125-a198-493e-b310-8513c9e31607
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Feng, Chenghao, Shen, Wenqian, Gao, Xinyu, An, Jianping and Hanzo, Lajos (2020) Dynamic hybrid precoding relying on twin-resolution phase shifters in millimeter-wave communication systems. IEEE Transactions on Wireless Communications. (In Press)

Record type: Article

Abstract

Hybrid analog/digital precoding in millimeter-wave (mmWave) multi-input multi-output (MIMO) systems is capable of achieving the near-optimal full-digital performance at reduced hardware cost and power consumption compared to its full-RF digital counterpart. However, having numerous phase shifters is still costly, especially when the phase shifters are of high resolution. In this paper, we propose a novel twin-resolution phase-shifter network for mmWave MIMO systems, which reduces the power consumption of an entirely high-resolution network, whilst mitigating the severe array gain reduction of an entirely low-resolution network. The connections between the twin phase shifters having different resolutions and the antennas are either fixed or dynamically configured. In the latter, we jointly design the phase-shifter network and the hybrid precoding matrix, where the phase of each entry in the analog precoding matrix can be dynamically designed according to the required resolution. This method is slightly modified for the fixed network’s hybrid precoding matrix. Furthermore, we extend the proposed method to multi-user MIMO systems and provide its performance analysis. Our simulation results show that the proposed dynamic hybrid precoding method strikes an attractive performance vs. power consumption trade-off.

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Accepted/In Press date: 29 September 2020

Identifiers

Local EPrints ID: 444513
URI: http://eprints.soton.ac.uk/id/eprint/444513
ISSN: 1536-1276
PURE UUID: 1239d399-6729-40b6-a521-c774f48cfae2
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 22 Oct 2020 16:32
Last modified: 17 Mar 2024 02:35

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Contributors

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

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