Semantic Communication for Rate-Limited Closed-Loop Distributed Communication-Sensing-Control Systems
2025/12/22 by Guangjin Pan, Zhixing Li, Pan, Guangjin +7
Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #Underwater Vehicles and Communication Systems #Age of Information Optimization
paper · doi:10.48550/arxiv.2512.19177
Abstract
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.
Citations
- Sensing-Communication-Computing-Control Closed-Loop Optimization for 6G Digital Twin-Empowered Robotic Systems
- Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems
- The role of communication delays in the optimal control of spatially invariant systems
- Integrated Sensing, Computing, Communication, and Control for Time-Sequence-Based Semantic Communications
- Observation Compression in Rate-Limited Closed-Loop Distributed ISAC Systems: From Signal Reconstruction to Control
- AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
- Localization in Dynamic Indoor MIMO-OFDM Wireless Systems using Domain Adaptation
- Unified Timing Analysis for Closed-Loop Goal-Oriented Wireless Communication
- Quality of Experience Oriented Cross-layer Optimization for Real-time XR Video Transmission
- Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks
- Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing
- Point Cloud in the Air
- Goal-Oriented Communication, Estimation, and Control over Bidirectional Wireless Links
- Goal-Oriented Integration of Sensing, Communication, Computing, and Control for Mission-Critical Internet-of-Things
- A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
- Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
- Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges
- Wireless Semantic Communications for Video Conferencing
- Event-Triggered Tracking Control of Networked Multi-Agent Systems
- Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
- Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport
- Distributed Reinforcement Learning for Decentralized Linear Quadratic\n Control: A Derivative-Free Policy Optimization Approach
- Wireless Network Design for Control Systems: A Survey
- Networked Control under Random and Malicious Packet Losses
Cited by
Related