Real-Time Cross-Layer Semantic Error Correction Using Language Models and Software-Defined Radio
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866914461783162880 |
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| author | Pan, Yuchen Du, Yuyang Wang, Yirun Xu, Shiqi Zhang, Lihao Liew, Soung Chang |
| author_facet | Pan, Yuchen Du, Yuyang Wang, Yirun Xu, Shiqi Zhang, Lihao Liew, Soung Chang |
| contents | As Language Models (LMs) advance, Semantic Error Correction (SEC) has emerged as a promising approach for reliable network designs. Yet existing methods prioritize intent over accuracy, falling short of verbatim recovery. Our recent work, Cross-Layer SEC (CL-SEC), addressed this by fusing physical-layer Log-Likelihood Ratios (LLRs) with semantic context, but its real-time feasibility remained unvalidated. This paper demonstrates CL-SEC on a live Software-Defined Radio (SDR) testbed, resolving implementation barriers with: 1) an SDR middleware enabling real-time LLR extraction from FPGA hardware, and 2) a generalized inference interface supporting modern encoder-decoder LMs. Real-world experiments confirm that the cross-layer fusion significantly outperforms either source alone. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_08419 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Real-Time Cross-Layer Semantic Error Correction Using Language Models and Software-Defined Radio Pan, Yuchen Du, Yuyang Wang, Yirun Xu, Shiqi Zhang, Lihao Liew, Soung Chang Networking and Internet Architecture As Language Models (LMs) advance, Semantic Error Correction (SEC) has emerged as a promising approach for reliable network designs. Yet existing methods prioritize intent over accuracy, falling short of verbatim recovery. Our recent work, Cross-Layer SEC (CL-SEC), addressed this by fusing physical-layer Log-Likelihood Ratios (LLRs) with semantic context, but its real-time feasibility remained unvalidated. This paper demonstrates CL-SEC on a live Software-Defined Radio (SDR) testbed, resolving implementation barriers with: 1) an SDR middleware enabling real-time LLR extraction from FPGA hardware, and 2) a generalized inference interface supporting modern encoder-decoder LMs. Real-world experiments confirm that the cross-layer fusion significantly outperforms either source alone. |
| title | Real-Time Cross-Layer Semantic Error Correction Using Language Models and Software-Defined Radio |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2604.08419 |