Title: Pre-coding techniques for enhanced codebooks on electricity information collection networks

Authors: Hu Li; Kai Wei; Xiaoqing Zhang

Addresses: Marketing Service Centre, State Grid Gansu Electric Power Company, Lanzhou, 730000, China ' Marketing Service Centre, State Grid Gansu Electric Power Company, Lanzhou, 730000, China ' Marketing Service Centre, State Grid Gansu Electric Power Company, Lanzhou, 730000, China

Abstract: In recent years, electricity information collection networks have increasingly adopted multiple-input multiple-output (MIMO) technology. This enhances both the system's bit rate and spectrum efficiency without the need for additional bandwidth. MIMO technology can provide higher information throughput and transmission reliability for electricity information collection networks. However, MIMO systems based on three-core cables correlate highly with their sub-channels. This paper proposes an improved MIMO codebook precoding method based on electricity information collection networks. Considering the channel interaction, a correlation matrix is introduced, spatial correlation is introduced into the channel model, and the existing random vector quantisation (RVQ) codebook and singular value decomposition (SVD) precoding are modified using spatial correlation. Simulation results indicate that the algorithm, by utilising a codebook index, effectively lowers feedback costs. Additionally, the proposed method enhances the BER performance and somewhat increases system capacity.

Keywords: electricity information collection networks; multiple-input multiple-output; MIMO; random vector quantisation; RVQ; singular value decomposition; SVD; precoding.

DOI: 10.1504/IJSN.2025.145023

International Journal of Security and Networks, 2025 Vol.20 No.1, pp.32 - 39

Received: 21 Nov 2024
Accepted: 11 Dec 2024
Published online: 17 Mar 2025 *

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