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Spectral Efficiency Optimization of Massive MIMO System Under Channel Varying Conditions

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Abstract

In this paper, the performance of the cell free Massive multiple-input multiple-output (MIMO) system with realistic channel impairment conditions is discussed. The channel impairment conditions arise due to various issues like the pilot contamination, high speed user mobility, accumulated phase noise and Doppler shifts etc. At first, we provided a system model with channel aging due to Doppler shift, during uplink and downlink for channel estimation and data transmission. An optimization objective problem is formulated to improve the joint spectral efficiency during both uplink and downlink. The primary objective problem is partitioned into two different sub-problems, which are solved by a user defined joint frame allocation and user matching (JFAUM) algorithm based on efficient allocation of pilot resources and matching techniques for user clustering. Finally, the numerical results prove the improvement in spectral efficiency of massive MIMO system by using the proposed JFAUM algorithm under various practical conditions.

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Acknowledgements

The author would like to extend his sincere appreciation to the All India Council of Technical Education (AICTE) for the funding of this research through the research project number 22/AICTE/WSN/RPS (POLICY-III) 2/2017-18.

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  1. Department of ECE, GITA, Bhubaneswar, Odisha, India

    Satyasen Panda

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Correspondence to Satyasen Panda.

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Panda, S. Spectral Efficiency Optimization of Massive MIMO System Under Channel Varying Conditions. Wireless Pers Commun 117, 1319–1335 (2021). https://doi.org/10.1007/s11277-020-07924-9

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  • DOI: https://doi.org/10.1007/s11277-020-07924-9

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