Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929332314701824 |
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| author | Lyu, Shuai Sun, Yao Guo, Linke Yuan, Xiaoyong Fang, Fang Zhang, Lan Wang, Xianbin |
| author_facet | Lyu, Shuai Sun, Yao Guo, Linke Yuan, Xiaoyong Fang, Fang Zhang, Lan Wang, Xianbin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_00135 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach Lyu, Shuai Sun, Yao Guo, Linke Yuan, Xiaoyong Fang, Fang Zhang, Lan Wang, Xianbin Information Theory Signal Processing 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. |
| title | Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2405.00135 |