Radio-frequency chain selection for energy and spectral efficiency maximization in hybrid beamforming under hardware imperfections

Author:

Vlachos Evangelos1,Thompson John2ORCID,Kaushik Aryan3,Masouros Christos3

Affiliation:

1. Industrial Systems Institute, ATHENA Research Centre, 15125 Marousi, Greece

2. Institute for Digital Communications, University of Edinburgh, Edinburgh EH9 3JL, UK

3. Department of Electronic and Electrical Engineering, University College London, London WC1E 7JE, UK

Abstract

The next-generation wireless communications require reduced energy consumption, increased data rates and better signal coverage. The millimetre-wave frequency spectrum above 30 GHz can help fulfil the performance requirements of the next-generation mobile broadband systems. Multiple-input multiple-output technology can provide performance gains to help mitigate the increased path loss experienced at millimetre-wave frequencies compared with microwave bands. Emerging hybrid beamforming architectures can reduce the energy consumption and hardware complexity with the use of fewer radio-frequency (RF) chains. Energy efficiency is identified as a key fifth-generation metric and will have a major impact on the hybrid beamforming system design. In terms of transceiver power consumption, deactivating parts of the beamformer structure to reduce power typically leads to significant loss of spectral efficiency. Our aim is to achieve the highest energy efficiency for the millimetre-wave communications system while mitigating the resulting loss in spectral efficiency. To achieve this, we propose an optimal selection framework which activates specific RF chains that amplify the digitally beamformed signals with the analogue beamforming network. Practical precoding is considered by including the effects of user interference, noise and hardware impairments in the system modelling.

Funder

Engineering and Physical Sciences Research Council

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference51 articles.

1. 5G: rethink mobile communications for 2020+

2. Cisco Visual Networking Index Forecast 2017–22. See https://tinyurl.com/yb2876nv (accessed 14 December 2020).

3. Ericsson Mobility Report November 2018. See https://tinyurl.com/y32m75ty (accessed 14 December 2020).

4. NGMN 5G White Paper 2015. See https://tinyurl.com/y99g96qd (accessed 14 December 2020).

5. Networld White Paper for Research Beyond 5G 2015. See https://tinyurl.com/y7ww9oe2 (accessed 14 December 2020).

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Millimeter Wave Channel Estimation for Lens based Hybrid MIMO with Low Resolution ADCs;2023 IEEE International Conference on Communications Workshops (ICC Workshops);2023-05-28

2. Subset Selection Based RIS-Aided Beamforming for Joint Radar-Communications;2023 IEEE Wireless Communications and Networking Conference (WCNC);2023-03

3. Low RF-Complexity Digital Transmit Beamforming for Large-Scale Millimeter Wave MIMO Systems;IEEE Transactions on Wireless Communications;2022-10

4. Hybrid Beamforming and Adaptive RF Chain Activation for Uplink Cell-Free Millimeter-Wave Massive MIMO Systems;IEEE Transactions on Vehicular Technology;2022-08

5. Sparse Hybrid Precoding for Power Minimization With an Adaptive Antenna Structure in Massive MIMO Systems;IEEE Transactions on Wireless Communications;2022-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3