Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach
<|reference_start|>Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach: 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.<|reference_end|>
@article{lyu2024improving,
    title={Improving Channel Resilience for Task-Oriented Semantic Communications:
  A Unified Information Bottleneck Approach},
    author={Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang,
  Xianbin Wang},
    journal={arXiv preprint arXiv:2405.00135},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.00135},
    primaryClass={cs.IT eess.SP math.IT}
}