Xiaotian Shi

Transformer-Based Physics Prior-Enhanced Residual Learning for OFDM Channel Estimation: The PERL Architecture

Link-level evaluations confirm improved error vector magnitude and maintained bit/block error rates relative to the RT baseline, validating that the proposed physical-data collaborative paradigm not only enhances estimation accuracy but also preserves communication reliability, while offering a promising foundation for future detection-aware and integrated-sensing-and-communication optimizations.