Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach
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.
- Publication:
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arXiv e-prints
- Pub Date:
- April 2024
- DOI:
- 10.48550/arXiv.2405.00135
- arXiv:
- arXiv:2405.00135
- Bibcode:
- 2024arXiv240500135L
- Keywords:
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- Computer Science - Information Theory;
- Electrical Engineering and Systems Science - Signal Processing
- E-Print:
- This work has been submitted to the IEEE Communications Letters