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  4. Vol 10, Issue 1, 2026

Integrated Spatial-Temporal-Frequency Joint Optimization and Distributed Reasoning Mechanism for Intelligent Road Networks Based on Perception-Control Computing

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DOI: 10.23977/cpcs.2026.100104 | Downloads: 0 | Views: 14

Author(s)

Zhuo Chen 1, Yunjiang Liu 1

Affiliation(s)

1 School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, 114051, China

Corresponding Author

Yunjiang Liu

ABSTRACT

With the rapid development of intelligent connected vehicles and 6G vehicle networking technology, intelligent road networks have put forward strict requirements of low latency, high reliability and high precision for the integrated collaborative capabilities of communication, perception, computing and control. The existing solutions generally have core bottlenecks such as the disconnection between the allocation of air-time-frequency resources and the computing-control requirements under the multi-domain coupling of perception and communication, the inability of centralized reasoning to meet the business latency constraints in high dynamic road network scenarios, and the lack of coordinated design of resource scheduling and reasoning mechanisms. To address these issues, this paper first constructs an integrated closed-loop system model for perception, communication, computing and control for intelligent road networks, clarifying the optimization objectives and constraints of multi-domain coupling; then proposes a joint optimization algorithm for air-time-frequency resources that is adapted to high dynamic scenarios, achieving efficient collaborative allocation of resources for communication and perception services; further designs a distributed reasoning coordination mechanism for air-time-frequency resource perception, completing the joint optimization of reasoning task splitting, offloading and resource scheduling, and ultimately builds a full-process closed-loop collaborative control system for perception, communication, computing and control. Based on the test results of typical urban intelligent road network simulation scenarios, it is shown that compared with the traditional benchmark scheme of separating perception and communication resources and centralized reasoning, the proposed method can increase the system spectral efficiency by 32.6%, improve the vehicle positioning and perception accuracy by 41.2%, reduce the end-to-end intelligent reasoning latency by 58.7%, reduce the traffic control closed-loop response latency by 45.3%, and still maintain 99.2% reliability of reasoning task completion in high-speed vehicle movement scenarios, providing important theoretical support and technical reference for the implementation of the integrated perception, communication, computing and control technology of intelligent road networks in the 6G era.

KEYWORDS

Integrating perception and control; Intelligent road network; Joint optimization of time, space and frequency; Distributed reasoning; Vehicle-road collaboration

CITE THIS PAPER

Zhuo Chen, Yunjiang Liu. Integrated Spatial-Temporal-Frequency Joint Optimization and Distributed Reasoning Mechanism for Intelligent Road Networks Based on Perception-Control Computing. Computing, Performance and Communication Systems (2026). Vol. 10, No. 1, 26-37. DOI: http://dx.doi.org/10.23977/cpcs.2026.100104.

REFERENCES

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