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Efficient Channel Equalization and Performance Analysis for Uplink FBMC/OQAM-Based Massive MIMO Systems

Yuhao Qi, Jian Dang, Zaichen Zhang, Liang Wu, Yongpeng Wu

2023IEEE Transactions on Vehicular Technology19 citationsDOI

Abstract

For offset quadratic amplitude modulation filter bank multi-carrier (FBMC/OQAM) based massive multiple-input multiple-output (MIMO) systems, a response difference phenomenon in the process of designing multi-tap equalizers is founded in this paper, which degrades the equalization performance. To address this issue, we propose a multi-stage equalization based design scheme of multi-tap equalizers with low implementation complexity. The scheme can alleviate the impact brought by the phenomenon effectively and improve the equalization performance significantly. Besides, we analyze the signal-to-interference-plus-noise ratio (SINR) and ergodic achievable rate performance of the proposed scheme, and further elaborate its self-equalization property that inter-user interference and noise vanishes as the number of BS antennas increases. In this case, there only remains some residual interference within the same user, which is tiny enough to be ignored. Thus, SINR can approach the signal-to-interference ratio (SIR) upper bound, i.e., the SIR in single-input single-output (SISO) scenario when the channel response is unit impulse. Simulation results confirm the performance analysis and show that the proposed scheme with shorter equalizer length can outperform other schemes with longer equalizer length. Moreover, even with finite number of BS antennas, the interference brought by the channels can be almost eliminated.

Topics & Concepts

Equalization (audio)MIMOComputer scienceTelecommunications linkInterference (communication)Control theory (sociology)Electronic engineeringChannel (broadcasting)Offset (computer science)TelecommunicationsEngineeringControl (management)Programming languageArtificial intelligencePAPR reduction in OFDMAdvanced Wireless Communication TechnologiesWireless Communication Networks Research