Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909993167486976 |
|---|---|
| author | Alonso, Rodney Martinez Thys, Cel Dehos, Cedric Guzman, Yuneisy Esthela Garcia Pollin, Sofie |
| author_facet | Alonso, Rodney Martinez Thys, Cel Dehos, Cedric Guzman, Yuneisy Esthela Garcia Pollin, Sofie |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_11713 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding Alonso, Rodney Martinez Thys, Cel Dehos, Cedric Guzman, Yuneisy Esthela Garcia Pollin, Sofie Signal Processing Artificial Intelligence Machine Learning Networking and Internet Architecture 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. |
| title | Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding |
| topic | Signal Processing Artificial Intelligence Machine Learning Networking and Internet Architecture |
| url | https://arxiv.org/abs/2601.11713 |