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Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding

Signal Processing 2026-01-21 v1 Artificial Intelligence Machine Learning Networking and Internet Architecture

Abstract

This paper proposes a novel technique for rejecting partial-in-band inter-cell interference (ICI) in ultrawideband communication systems. We present the design of an end-to-end wireless autoencoder architecture that jointly optimizes the transmitter and receiver encoding/decoding in the Walsh domain to mitigate interference from coexisting narrower-band 5G base stations. By exploiting the orthogonality and self-inverse properties of Walsh functions, the system distributes and learns to encode bit-words across parallel Walsh branches. Through analytical modeling and simulation, we characterize how 5G CPOFDM interference maps into the Walsh domain and identify optimal ratios of transmission frequencies and sampling rate where the end-to-end autoencoder achieves the highest rejection. Experimental results show that the proposed autoencoder achieves up to 12 dB of ICI rejection while maintaining a low block error rate (BLER) for the same baseline channel noise, i.e., baseline Signal-to-Noise-Ratio (SNR) without the interference.

Keywords

Cite

@article{arxiv.2601.11713,
  title  = {Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding},
  author = {Rodney Martinez Alonso and Cel Thys and Cedric Dehos and Yuneisy Esthela Garcia Guzman and Sofie Pollin},
  journal= {arXiv preprint arXiv:2601.11713},
  year   = {2026}
}

Comments

This preprint was submitted to The 2026 EuCNC & 6G Summit

R2 v1 2026-07-01T09:08:20.585Z