Study on Selection Diversity for MIMO 3-User Interference Channel with Interference Alignment

Dongsup Jin and Xianglan Jin ()
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Dongsup Jin: Department of IT Convergence, University of Ulsan, 93, Daehak-ro, Nam-gu, Ulsan 44610, Republic of Korea
Xianglan Jin: Division of Electronic Engineering, IT Convergence Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea

Mathematics, 2024, vol. 12, issue 24, 1-13

Abstract: This paper explores selection diversity in the context of MIMO 3-user interference channels with interference alignment (IA), focusing on enhancing reliability through diversity order (DO) analysis. While degrees of freedom (DoF) have traditionally been emphasized for throughput optimization in IA, limited research has addressed diversity order to improve error performance. In this work, we define a conditional DO and propose a beamforming vector selection method that achieves a conditional DO of M 2 / 2 , where M is the number of antennas per transceiver. The proposed scheme employs a two-stage decoding approach, combining zero-forcing for interference cancellation with maximum likelihood (ML) decoding for desired signal recovery, which is augmented by orthogonalization techniques. Simulations demonstrate the superiority of the proposed scheme in both error probability and conditional DO values compared to conventional IA methods, particularly in scenarios with higher antenna counts. These results provide insights into optimizing IA for enhanced reliability and form the foundation for future exploration of advanced decoding and beamforming strategies.

Keywords: degrees of freedom (DoF); diversity order (DO); interference alignment (IA); MIMO interference channel; selection of beamforming vector; selection diversity (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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