Base station association and module dormancy optimization method

Abstract

The invention discloses a base station association and module dormancy optimization method, which comprises the following steps that: on the basis of maximizing a transmission rate and minimizing energy consumption overhead, node initial information is dynamically constructed in an opportunistic network environment, wherein nodes comprise a centralized controller, a base station and a vehicle; thevehicle collects information inside and outside the vehicle through the sensor and uploads the information to the base station; the base station uploads the collected vehicle information to a centralized controller through a front-end link; the centralized controller executes an algorithm based on the global information to obtain a base station module dormancy decision and an association decisionof the base station and the vehicle, and then issues the decision to the base station; and the base station completes association with the vehicle and allocates transmission power to the vehicle according to the dormancy or starting operation of a decision execution module. The vehicle can unload a calculation task to an edge server for calculation through a base station uplink, and the edge server sends a calculation result to the vehicle through a base station downlink. According to the invention, the maximum transmission rate is obtained in vehicle communication and the minimum energy consumption is consumed.

Description

technical field [0001] The invention belongs to the technical field of data transmission, and more specifically relates to an optimization method for base station association and module sleep. Background technique [0002] With the vigorous development of the Internet of Things technology, the Internet of Vehicles, as a typical application of the Internet of Things, uses vehicle-mounted sensing devices to obtain vehicle operating parameters and the use status of traffic infrastructure such as roads, sense traffic conditions in real time, and complete information interconnection through the network. Provide users with richer, smarter and safer travel services. Among them, the vehicle needs to quickly analyze and process the massive information collected by sensors inside and outside the vehicle, and then assist the user in driving according to the calculation results, such as avoiding pedestrians and slowing down. The above applications are computationally intensive and dela...

AI Technical Summary

Problems solved by technology

Since the amount of real-time data transmission is dynamic, the key issue of the above two technologies is how to allocate wireless resources reasonably to provide high-bandwidth, low-latency services, and optimize energy consumption—all functional modules of densely deployed base stations are active state is energy-intensive

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