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Performance Analysis and Power Control of Cell-Free Massive MIMO Systems with Hardware Impairments
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China.;Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China..ORCID iD: 0000-0003-2434-4329
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China..
Linköping Univ, Dept Elect Engn ISY, S-58183 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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2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 55302-55314Article in journal (Refereed) Published
Abstract [en]

As an interesting network architecture for future wireless communication systems, cell-free (CF) massive multiple-input multiple-output (MIMO) distributes an excess number of access points (APs) with single or multiple antennas to cooperatively communicate with several user equipments (UEs). To realize CF massive MIMO in production, hardware impairments become a crucial problem since cheaper and low-quality antennas are needed to ensure economic and energy feasibility. In this paper, we propose a framework for performance analysis in the CF massive MIMO with classical hardware distortion models. For both uplink and downlink, closed-form spectral and energy efficiency expressions are derived, respectively. Based on these results, we provide significant insights into the practical impact of hardware impairments on CF massive MIMO. For example, the impact of hardware distortion at the APs asymptotically vanishes. Furthermore, in order to ensure uniformly good service to the users, we propose a max-min power control algorithm to maximize the minimum UE rate. Via analytical and numerical results, we prove that CF massive MIMO can tolerate hardware impairments without performance reduction.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2018. Vol. 6, p. 55302-55314
Keywords [en]
CF massive MIMO, spectral efficiency, energy efficiency, power control, hardware impairments
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295893DOI: 10.1109/ACCESS.2018.2872715ISI: 000448033100001Scopus ID: 2-s2.0-85054359520OAI: oai:DiVA.org:kth-295893DiVA, id: diva2:1663838
Note

QC 20220615

Available from: 2022-06-02 Created: 2022-06-02 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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