arXiv · 2512.00509
Improving Channel Estimation Through Gold Sequences
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.
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Sumita Majhi, Kaushal Shelke, Pinaki Mitra, Ujjwal Biswas. 2025-11-29. Improving Channel Estimation Through Gold Sequences. https://arxiv.org/abs/2512.00509
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