Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding
This addresses interference issues for ultrawideband communication systems coexisting with 5G networks, representing an incremental improvement with a novel method for a known bottleneck.
The paper tackles partial-in-band inter-cell interference in ultrawideband systems by proposing a wireless autoencoder that optimizes transmitter and receiver encoding in the Walsh domain, achieving up to 12 dB of interference rejection while maintaining low block error rates.
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.