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.

翻译：本文提出了一种在超宽带通信系统中抑制部分带内跨小区干扰的新技术。我们设计了一种端到端无线自编码器架构，该架构在沃尔什域联合优化发射机和接收机的编码/解码，以减轻共存窄带5G基站的干扰。通过利用沃尔什函数的正交性和自逆特性，该系统将比特字分布到并行的沃尔什分支上进行编码学习。通过分析建模和仿真，我们刻画了5G CPOFDM干扰如何映射到沃尔什域，并确定了端到端自编码器实现最佳抑制的发射频率与采样率最优比值。实验结果表明，在相同基线信道噪声（即无干扰时的基线信噪比）条件下，所提出的自编码器在保持较低误块率的同时，可实现高达12分贝的跨小区干扰抑制。