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arXiv · 2405.00135

Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach

Shuai Lyu·Yao Sun·Linke Guo·Xiaoyong Yuan·Fang Fang·Lan Zhang·Xianbin Wang
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Abstract

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.

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Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang, Xianbin Wang. 2024-04-30. Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. https://arxiv.org/abs/2405.00135

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