Paper
30 December 2024 Implementing MU-MIMO in power line communication: introducing NS-MUIR algorithm for efficient interference reduction
Ruowen Yan, Qiao Li
Author Affiliations +
Proceedings Volume 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024); 1339407 (2024) https://doi.org/10.1117/12.3052457
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 2024, Hohhot, China
Abstract
This paper investigates the application of Multi-User Multiple Input Multiple Output (MU-MIMO) techniques in Power Line Communication (PLC) systems to enhance throughput and network efficiency. Focusing on the unique challenges posed by PLC environments, the study introduces the Null Space Based Multi-User Interference Reduction (NS-MUIR) algorithm, a novel precoding and detection methodology designed to mitigate Multi-User Interference (MUI). We present a detailed system model for both Single Transmitter (ST) and Multiple Transmitter (MT) MU-MIMO configurations, followed by an extensive performance evaluation through simulation. The performance evaluation compares the NS-MUIR algorithm against traditional methods such as Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and Maximum Likelihood Detection (MLD), demonstrating that NS-MUIR not only approaches the performance of MLD with significantly reduced computational complexity but also outperforms ZF and MMSE in various scenarios. The results confirm the efficacy of NS-MUIR in enhancing data transmission rates and system reliability in MU-MIMO PLC systems. This paper contributes to the advancement of PLC technology by providing a robust solution for deploying efficient and high-capacity MU-MIMO systems in challenging communication environments.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruowen Yan and Qiao Li "Implementing MU-MIMO in power line communication: introducing NS-MUIR algorithm for efficient interference reduction", Proc. SPIE 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 1339407 (30 December 2024); https://doi.org/10.1117/12.3052457
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KEYWORDS
Transmitters

Matrices

Photonic integrated circuits

Receivers

Telecommunications

Systems modeling

Multiple input multiple output

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