An optimization method for base station association and module sleep

Abstract

The invention discloses an optimization method for base station association and module dormancy. Based on maximizing the transmission rate while minimizing energy consumption, in an opportunistic network environment, the initial information of nodes is first dynamically constructed. Nodes include centralized controllers, base stations and vehicles Three categories: vehicles collect information inside and outside the vehicle through sensors, and upload the information to the base station; the base station uploads the collected vehicle information to the centralized controller through the front-end link; the centralized controller executes the algorithm based on the global information to obtain the sleep decision of the base station module and The association decision between the base station and the vehicle is then sent to the base station; the base station executes the module sleep or start operation according to the decision, completes the association with the vehicle and allocates transmission power to the vehicle. The vehicle can offload the calculation task to the edge server for calculation through the uplink of the base station, and the edge server then sends the calculation result to the vehicle through the downlink of the base station. The invention enables the vehicle communication to obtain the maximum transmission rate and consume the least energy consumption.

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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