Downlink Spectral Efficiency Analysis in Distributed Massive MIMO with Phase Noise

To achieve the advantages provided by massive multiple-input multiple-output (MIMO), a large number of antennas need to be deployed at the base station. However, for the reason of cost, inexpensive hardwares are employed in the realistic scenario, which makes the system distorted by hardware impairm...

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Main Authors: Qian Lv, Jiamin Li, Pengcheng Zhu, Dongming Wang, Xiaohu You
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/7/11/317
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author Qian Lv
Jiamin Li
Pengcheng Zhu
Dongming Wang
Xiaohu You
author_facet Qian Lv
Jiamin Li
Pengcheng Zhu
Dongming Wang
Xiaohu You
author_sort Qian Lv
collection DOAJ
description To achieve the advantages provided by massive multiple-input multiple-output (MIMO), a large number of antennas need to be deployed at the base station. However, for the reason of cost, inexpensive hardwares are employed in the realistic scenario, which makes the system distorted by hardware impairments. Hence, in this paper, we analyze the downlink spectral efficiency in distributed massive MIMO with phase noise and amplified thermal noise. We provide an effective channel model considering large-scale fading, small-scale fast fading and phase noise. Based on the model, the estimated channel state information (CSI) is obtained during the pilot phase. Under the imperfect CSI, the closed-form expressions of downlink achievable rates with maximum ratio transmission (MRT) and zero-forcing (ZF) precoders in distributed massive MIMO are derived. Furthermore, we also give the user ultimate achievable rates when the number of antennas tends to infinity with both precoders. Based on these expressions, we analyze the impacts of phase noise on the spectral efficiency. It can be concluded that the same limit rate is achieved with both precoders when phase noise is present, and phase noise limits the spectral efficiency. Numerical results show that ZF outdoes MRT precoder in spectral efficiency and ZF precoder is more affected by phase noise.
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spelling doaj.art-4172d4e2d1f04be9a2870ce1f072b06a2022-12-22T04:10:21ZengMDPI AGElectronics2079-92922018-11-0171131710.3390/electronics7110317electronics7110317Downlink Spectral Efficiency Analysis in Distributed Massive MIMO with Phase NoiseQian Lv0Jiamin Li1Pengcheng Zhu2Dongming Wang3Xiaohu You4National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, ChinaTo achieve the advantages provided by massive multiple-input multiple-output (MIMO), a large number of antennas need to be deployed at the base station. However, for the reason of cost, inexpensive hardwares are employed in the realistic scenario, which makes the system distorted by hardware impairments. Hence, in this paper, we analyze the downlink spectral efficiency in distributed massive MIMO with phase noise and amplified thermal noise. We provide an effective channel model considering large-scale fading, small-scale fast fading and phase noise. Based on the model, the estimated channel state information (CSI) is obtained during the pilot phase. Under the imperfect CSI, the closed-form expressions of downlink achievable rates with maximum ratio transmission (MRT) and zero-forcing (ZF) precoders in distributed massive MIMO are derived. Furthermore, we also give the user ultimate achievable rates when the number of antennas tends to infinity with both precoders. Based on these expressions, we analyze the impacts of phase noise on the spectral efficiency. It can be concluded that the same limit rate is achieved with both precoders when phase noise is present, and phase noise limits the spectral efficiency. Numerical results show that ZF outdoes MRT precoder in spectral efficiency and ZF precoder is more affected by phase noise.https://www.mdpi.com/2079-9292/7/11/317distributed massive MIMOphase noiseamplified thermal noisespectral efficiency
spellingShingle Qian Lv
Jiamin Li
Pengcheng Zhu
Dongming Wang
Xiaohu You
Downlink Spectral Efficiency Analysis in Distributed Massive MIMO with Phase Noise
Electronics
distributed massive MIMO
phase noise
amplified thermal noise
spectral efficiency
title Downlink Spectral Efficiency Analysis in Distributed Massive MIMO with Phase Noise
title_full Downlink Spectral Efficiency Analysis in Distributed Massive MIMO with Phase Noise
title_fullStr Downlink Spectral Efficiency Analysis in Distributed Massive MIMO with Phase Noise
title_full_unstemmed Downlink Spectral Efficiency Analysis in Distributed Massive MIMO with Phase Noise
title_short Downlink Spectral Efficiency Analysis in Distributed Massive MIMO with Phase Noise
title_sort downlink spectral efficiency analysis in distributed massive mimo with phase noise
topic distributed massive MIMO
phase noise
amplified thermal noise
spectral efficiency
url https://www.mdpi.com/2079-9292/7/11/317
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AT pengchengzhu downlinkspectralefficiencyanalysisindistributedmassivemimowithphasenoise
AT dongmingwang downlinkspectralefficiencyanalysisindistributedmassivemimowithphasenoise
AT xiaohuyou downlinkspectralefficiencyanalysisindistributedmassivemimowithphasenoise