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Spectral and Energy Efficiency of Cell-Free Massive MIMO Systems with Hardware Impairments
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China..
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China..
Linköping Univ, Dept Elect Engn ISY, Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China..
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2017 (English)In: 2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), Institute of Electrical and Electronics Engineers (IEEE), 2017Conference paper, Published paper (Refereed)
Abstract [en]

Cell-free massive multiple-input multiple-output (MIMO), with a large number of distributed access points (APs) that jointly serve the user equipments (UEs), is a promising network architecture for future wireless communications. To reduce the cost and power consumption of such systems, it is important to utilize low-quality transceiver hardware at the APs. However, the impact of hardware impairments on cell-free massive MIMO has thus far not been studied. In this paper, we take a first look at this important topic by utilizing well-established models of hardware distortion and deriving new closed-form expressions for the spectral and energy efficiency. These expressions provide important insights into the practical impact of hardware impairments and also how to efficiently deploy cell-free systems. Furthermore, a novel hardware-quality scaling law is presented. It proves that the impact of hardware impairments at the APs vanish as the number of APs grows. Numerical results validate that cell-free massive MIMO systems are inherently resilient to hardware impairments.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017.
Series
International Conference on Wireless Communications and Signal Processing, ISSN 2325-3746
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295917ISI: 000426972200182OAI: oai:DiVA.org:kth-295917DiVA, id: diva2:1664603
Conference
9th International Conference on Wireless Communication and Signal Processing (WCSP), OCT 11-13, 2017, Nanjing, PEOPLES R CHINA
Note

QC 20220617

Part of proceedings: ISBN 978-1-5386-2062-5

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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