Semantic Communication for Rate-Limited Closed-Loop Distributed Communication-Sensing-Control Systems
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908731296448512 |
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| author | Pan, Guangjin Özçelikkale, Ayça Häger, Christian Keskin, Musa Furkan Wymeersch, Henk |
| author_facet | Pan, Guangjin Özçelikkale, Ayça Häger, Christian Keskin, Musa Furkan Wymeersch, Henk |
| contents | The growing integration of distributed integrated sensing and communication (ISAC) with closed-loop control in intelligent networks demands efficient information transmission under stringent bandwidth constraints. To address this challenge, this paper proposes a unified framework for goal-oriented semantic communication in distributed SCC systems. Building upon Weaver's three-level model, we establish a hierarchical semantic formulation with three error levels (L1: observation reconstruction, L2: state estimation, and L3: control) to jointly optimize their corresponding objectives. Based on this formulation, we propose a unified goal-oriented semantic compression and rate adaptation framework that is applicable to different semantic error levels and optimization goals across the SCC loop. A rate-limited multi-sensor LQR system is used as a case study to validate the proposed framework. We employ a GRU-based AE for semantic compression and a PPO-based rate adaptation algorithm that dynamically allocates transmission rates across sensors. Results show that the proposed framework effectively captures task-relevant semantics and adapts its resource allocation strategies across different semantic levels, thereby achieving level-specific performance gains under bandwidth constraints. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_19177 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Semantic Communication for Rate-Limited Closed-Loop Distributed Communication-Sensing-Control Systems Pan, Guangjin Özçelikkale, Ayça Häger, Christian Keskin, Musa Furkan Wymeersch, Henk Systems and Control Networking and Internet Architecture Signal Processing The growing integration of distributed integrated sensing and communication (ISAC) with closed-loop control in intelligent networks demands efficient information transmission under stringent bandwidth constraints. To address this challenge, this paper proposes a unified framework for goal-oriented semantic communication in distributed SCC systems. Building upon Weaver's three-level model, we establish a hierarchical semantic formulation with three error levels (L1: observation reconstruction, L2: state estimation, and L3: control) to jointly optimize their corresponding objectives. Based on this formulation, we propose a unified goal-oriented semantic compression and rate adaptation framework that is applicable to different semantic error levels and optimization goals across the SCC loop. A rate-limited multi-sensor LQR system is used as a case study to validate the proposed framework. We employ a GRU-based AE for semantic compression and a PPO-based rate adaptation algorithm that dynamically allocates transmission rates across sensors. Results show that the proposed framework effectively captures task-relevant semantics and adapts its resource allocation strategies across different semantic levels, thereby achieving level-specific performance gains under bandwidth constraints. |
| title | Semantic Communication for Rate-Limited Closed-Loop Distributed Communication-Sensing-Control Systems |
| topic | Systems and Control Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2512.19177 |