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Uplink Performance of Cell-Free Massive MIMO Over Spatially Correlated Rician Fading Channels
Beijing Jiaotong Univ, Peoples R China.
Beijing Jiaotong Univ, Peoples R China.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. KTH Royal Inst Technol, Sweden.ORCID iD: 0000-0002-5954-434X
Beijing Jiaotong Univ, Peoples R China; Zhengzhou Univ, Peoples R China.
2021 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 25, no 4, p. 1348-1352Article in journal (Refereed) Published
Abstract [en]

We consider a practical cell-free massive multiple-input-multiple-output (MIMO) system with multi-antenna access points (APs) and spatially correlated Rician fading channels. The significant phase-shift of the line-of-sight component induced by the user equipment movement is modeled randomly. Furthermore, we investigate the uplink spectral efficiency (SE) with maximum ratio (MR)/local minimum mean squared error (L-MMSE) combining and optimal large-scale fading decoding based on the phase-aware MMSE, phase-aware element-wise MMSE and linear MMSE (LMMSE) estimators. Then new closed-form SE expressions with MR combining are derived. Numerical results validate our derived expressions and show that the SE benefits from the spatial correlation. It is important to observe that the performance gap between L-MMSE and MR combining increases with the number of antennas per AP and the SE of the LMMSE estimator is lower than that of other estimators due to the lack of phase-shifts knowledge.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2021. Vol. 25, no 4, p. 1348-1352
Keywords [en]
Rician channels; Channel estimation; Fading channels; Coherence; Partial transmit sequences; Correlation; Uplink; Cell-free massive MIMO; spatially correlated rician fading; phase-shift; spectral efficiency
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-175793DOI: 10.1109/LCOMM.2020.3041899ISI: 000639708000063OAI: oai:DiVA.org:liu-175793DiVA, id: diva2:1556791
Note

Funding Agencies|Science and Technology Key Project of Guangdong Province China [2019B010157001]; Royal Society Newton Advanced Fellowship [NA191006]; State Key Lab of Rail Traffic Control and Safety [RCS2018ZZ007, RCS2019ZZ007]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61971027, U1834210, 61961130391]; Beijing Natural Science FoundationBeijing Natural Science Foundation [L202013]; ZTE Corporation; State Key Laboratory of Mobile Network and Mobile Multimedia Technology; Swedish Research CouncilSwedish Research CouncilEuropean Commission

Available from: 2021-05-24 Created: 2021-05-24 Last updated: 2021-05-24

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