Improving Channel Estimation Through Gold Sequences

TL;DR

This paper proposes a novel channel estimation method for NOMA systems using Gold sequences, fractional power allocation, and partially decoded data, demonstrating improved performance in realistic simulation environments.

Contribution

It introduces a new channel estimation approach leveraging Gold sequences and fractional power allocation for enhanced NOMA system performance.

Findings

CPF outperforms pilot-based techniques

Gold sequences improve user separation

Method effective in realistic channel conditions

Abstract

This study evaluates Non-Orthogonal Multiple Access (NOMA) systems using Gold coding and Conventional-V-BLAST (C-V-BLAST). Superimposed signals on shared subcarriers make NOMA user separation difficult, unlike MIMO. Gold sequences' orthogonal features may enhance user separation and channel estimation. A novel channel estimation approach uses fractional power allocation and partially decoded data symbols. A realistic simulation environment was created using AWGN, Rayleigh fading, and shadowing. Using pilot signals, power allocation, and data symbols, our Channel Prediction Function (CPF) surpasses pilot-based techniques.