Spectral Efficiency Analysis of Multi-Cell Massive MIMO Systems with Ricean Fading

Pei Liu, Kai Luo, Da Cheng, Tao Jiang, Michail Matthaiou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
152 Downloads (Pure)

Abstract

This paper investigates the spectral efficiency of multi-cell massive multiple-input multiple-output systems with Ricean fading that utilize the linear maximal-ratio combining detector. We firstly present closed-form expressions for the effective signal-to-interference-plus-noise ratio (SINR) with the least squares and minimum mean squared error (MMSE) estimation methods, respectively, which apply for any number of base-station antennas M and any Ricean K-factor. Also, the obtained results can be particularized in Rayleigh fading conditions when the Ricean K-factor is equal to zero. In the following, novel exact asymptotic expressions of the effective SINR are derived in the high M and high Ricean K-factor regimes. The corresponding analysis shows that pilot contamination is removed by the MMSE estimator when we consider both infinite M and infinite Ricean K-factor, while the pilot contamination phenomenon persists for the rest of cases. All the theoretical results are verified via Monte-Carlo simulations.
Original languageEnglish
Title of host publication10th International Conference on Wireless Communications and Signal Processing (WCSP 2018) October 18-20, 2018 Hangzhou, China: Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-1-5386-6119-2
DOIs
Publication statusEarly online date - 03 Dec 2018
Event2019 IEEE Conference on Wireless Communications and Signal Processing -
Duration: 18 Oct 201820 Oct 2018

Publication series

NameInternational Conference on Wireless Communications and Signal Processing (WCSP): Proceedings
PublisherIEEE
ISSN (Print)2325-3746
ISSN (Electronic)2472-7628

Conference

Conference2019 IEEE Conference on Wireless Communications and Signal Processing
Period18/10/201820/10/2018

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