JOURNAL ARTICLE

Rate-Splitting Assisted Massive Machine-Type Communications in Cell-Free Massive MIMO

Anup MishraYijie MaoLuca SanguinettiBruno Clerckx

Year: 2022 Journal:   IEEE Communications Letters Vol: 26 (6)Pages: 1358-1362   Publisher: IEEE Communications Society

Abstract

This letter focuses on integrating rate-splitting multiple-access (RSMA) with time-division-duplex Cell-free Massive MIMO (multiple-input multiple-output) for massive machine-type communications. Due to the large number of devices, their sporadic access behaviour and limited coherence interval, we assume a random access strategy with all active devices utilizing the same pilot for uplink channel estimation. This gives rise to a highly pilot-contaminated scenario, which inevitably deteriorates channel estimates. Motivated by the robustness of RSMA towards imperfect channel state information, we propose a novel RSMA-assisted downlink transmission framework for cell-free massive MIMO. On the basis of the downlink achievable spectral efficiency of the common and private streams, we devise a heuristic common precoder design and propose a novel max-min power control method for the proposed RSMA-assisted scheme. Numerical results show that RSMA effectively mitigates the effect of pilot contamination in the downlink and achieves a significant performance gain over a conventional cell-free massive MIMO network.

Keywords:
Telecommunications link MIMO Computer science Spectral efficiency Robustness (evolution) Channel state information Coherence time Computer network Transmitter power output Duplex (building) Channel (broadcasting) Electronic engineering Wireless Transmitter Coherence (philosophical gambling strategy) Telecommunications Mathematics Engineering

Metrics

75
Cited By
8.07
FWCI (Field Weighted Citation Impact)
16
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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