Task-oriented semantic communications (TSC) enhance radio resource efficiency by transmitting task-relevant semantic information. However, current research often overlooks the inherent semantic distinctions among encoded features. Due to unavoidable channel variations from time and frequency-selective fading, semantically sensitive feature units could be more susceptible to erroneous inference if corrupted by dynamic channels. Therefore, this letter introduces a unified channel-resilient TSC framework via information bottleneck. This framework complements existing TSC approaches by controlling information flow to capture fine-grained feature-level semantic robustness. Experiments on a case study for real-time subchannel allocation validate the framework's effectiveness.
@article{arxiv.2405.00135,
title = {Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach},
author = {Shuai Lyu and Yao Sun and Linke Guo and Xiaoyong Yuan and Fang Fang and Lan Zhang and Xianbin Wang},
journal= {arXiv preprint arXiv:2405.00135},
year = {2024}
}
Comments
This work has been submitted to the IEEE Communications Letters