Research on two-interference alignment algorithms based on non-ideal beamforming spatial channels

Xiaojuan Bai; Yue Yang; Aopei Yu

doi:10.1117/12.3049991

18 November 2024 Research on two-interference alignment algorithms based on non-ideal beamforming spatial channels

Xiaojuan Bai, Yue Yang, Aopei Yu

Proceedings Volume 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024); 133981A (2024) https://doi.org/10.1117/12.3049991
Event: Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 2024, Nanjing, China

Abstract

In the realm of wireless communications, where the escalating number of users and soaring data demands are prevalent, interference management (IA) has become increasingly crucial. Among the numerous challenges impeding the realization of IA techniques, the rapid time-variation of channels stands out as a predominant obstacle. Consequently, two IA algorithms tailored for non-ideal beamforming spatial channels are investigated in this article, under the framework of an IA system model incorporating lens antenna arrays, thus reflecting more realistic scenarios. In prior - literature, the rudimentary Least Squares (LS) method has been utilized for channel estimation, followed by the application of IA schemes to compute users' signal-to-interference-plus-noise ratio (SINR), outage probability, and throughput. Compared to ideal beamforming spatial channels, IA algorithms post channel estimation exhibits superior performance. Building upon preceding work, we employ both the Minimum Mean Square Error (MMSE) and linear MMSE (LMMSE) algorithms for channel estimation prior to interference cancellation. Through simulation comparisons, our proposed methodologies demonstrate enhanced performance in terms of outage probability and throughput.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaojuan Bai, Yue Yang, and Aopei Yu "Research on two-interference alignment algorithms based on non-ideal beamforming spatial channels", Proc. SPIE 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 133981A (18 November 2024); https://doi.org/10.1117/12.3049991

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KEYWORDS

Matrices

Antennas

Multiple input multiple output

Signal to noise ratio

Lens arrays

Receivers

Computer simulations

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