Task-oriented co-design of communication, computing, and control for edge-enabled industrial Cyber-Physical systems

Journal article

This paper proposes a task-oriented co-design framework that integrates communication, computing, and control to address the key challenges of bandwidth limitations, noise interference, and latency in mission-critical industrial Cyber-Physical Systems (CPS). To improve communication efficiency and robustness, we design a task-oriented Joint Source-Channel Coding (JSCC) using Information Bottleneck (IB) to enhance data transmission efficiency by prioritizing task-specific information. To mitigate the perceived End-to-End (E2E) delays, we develop a Delay-Aware Trajectory-Guided Control Prediction (DTCP) strategy that integrates trajectory planning with control prediction, predicting commands based on E2E delay. Moreover, the DTCP is co-designed with task-oriented JSCC, focusing on transmitting task-specific information for timely and reliable autonomous driving. Experimental results in the CARLA simulator demonstrate that, under an E2E delay of 1 second (20 time slots), the proposed framework achieves a driving score of 48.12, which is 31.59 points higher than using Better Portable Graphics (BPG) while reducing bandwidth usage by 99.19%.

Authors: Diao, Y; Zhang, Y; De Martini, D; Zhao, PG; Li, EL

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IEEE
• Journal: IEEE Journal on Selected Areas in Communications
• Volume: 43
• Issue: 9
• Pages: 3041-3055
• Publication date: 2025-05-29
• Acceptance date: 2025-02-28
• DOI: 10.1109/jsac.2025.3574605
• EISSN: 1558-0008
• ISSN: 0733-8716
• Language: English