Wireless resource allocation method for vehicle platoon control requirements

Abstract

The invention relates to a wireless resource allocation method oriented to vehicle queue control requirements, including: establishing a highway model, a vehicle queue model, and a wireless communication model between vehicles, and designing a vehicle distributed control law considering communication delay; On the premise of stability, obtain the maximum allowable communication delay between vehicles; on the premise of ensuring the chord stability of the fleet, obtain the maximum allowable communication delay between vehicles; obtain the maximum allowable vehicle platoon system The communication delay between vehicles is the minimum value between the above two; the system's requirement for delay is transformed into a constraint on the signal-to-interference-noise ratio (SINR) of communication between vehicles; the problem is described as under the SINR constraint, Maximize the traversal capacity of the spectrum sharing vehicle wireless communication system; analyze and obtain the optimal signal transmission power of two types of vehicles; obtain the optimal spectrum multiplexing vehicle device pair according to the bipartite graph maximum weight matching algorithm.

Description

technical field [0001] The invention relates to the field of multi-vehicle cooperative driving of networked vehicles, in particular to a wireless resource management strategy for inter-vehicle communication. Background technique [0002] At present, the number of automobiles is increasing day by day, and there are problems such as traffic safety, energy consumption, and environmental pollution. Advanced Driver Assistance Technology (ADAS) is an effective way to solve traffic problems. Among them, one of the typical applications of ADAS is collaborative driving technology, which is one of the intersections in the interdisciplinary research fields of intelligent vehicles, multi-agents, intelligent transportation, and human-machine collaboration. Cooperative driving technology achieves overall fleet control through vehicle-to-vehicle communication, which reduces the car-following distance between vehicles, thereby increasing the vehicle density that can be accommodated on the ...

AI Technical Summary

Problems solved by technology

Due to the vehicle platoon driving on the road, the high-speed movement of the vehicle brings the complexity and time-varying nature of the wireless communication environment. The vehicle platoon coexisting with the cellular network often suffers from wireless interference from other cellular users and vehicle platoons. There is a high degree of uncertainty in the performance of inter-communication

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