Internet of vehicles (IoV) data transmission scheduling method based on channel prediction

Abstract

The invention discloses an Internet of vehicles (IoV) data transmission scheduling method based on channel prediction. Large-scale channel information between vehicles and roadside enter units and between vehicles is predicted by using a channel prediction algorithm according to collected vehicle state information, a signal to noise ratio and communication benefit of a potential communication link are computed, and a relay vehicle node set is selected to scheduling data distribution by using a greedy algorithm. According to the method, an effective vehicle node is selected as a relay node for distributing data by predicting the channel fading in large scale to achieve the maximum communication benefit; and in a central data distribution scene having the vehicles and the roadside center units, a throughput rate of the system is improved, and data distribution delay is reduced by reasonably allocating time resources.

Description

technical field [0001] The present invention relates to wireless communication technology, in particular to a channel prediction-based data transmission scheduling method suitable for the Internet of Vehicles, which can effectively improve the system throughput of the Internet of Vehicles, reduce data transmission delays, and ensure relatively Low computational complexity and communication cost. Background technique [0002] The Internet of Vehicles can meet the growing demand for data transmission rates in road traffic systems, and is widely used in applications such as road condition detection and accident warning. It allows vehicles to communicate directly with other vehicles or roadside central units (road-side unit), thereby saving the high communication cost and high delay caused by cellular communication. Data transmission in the Internet of Vehicles has problems such as fast vehicle movement, rapid network topology changes, and small communication range. In practica...

AI Technical Summary

Problems solved by technology

[0004] Although higher system performance can be obtained, the existing traditional centralized data distribution scheme requires vehicles to upload complete channel information including large-scale fading and small-scale fading in real time, which significantly increases the communication cost of the system

Moreover, due to the high-speed movement of the vehicle and the rapid change of the channel, the small-scale fading information is easily outdated and affects the efficiency of resource scheduling.

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