Fountain code-driven multi-roadside unit cooperative caching method

Abstract

The invention discloses a fountain code-driven multi-roadside unit collaborative caching method. The method comprises the following steps: determining a to-be-cached file, and segmenting the to-be-cached file into a plurality of data packets; storing the data packets in different roadside units, wherein the data packets stored in any two roadside units overlap; when the roadside units receive a request of a vehicle for the to-be-cached file, carrying out, by each roadside unit, fountain coding on the data packets stored by the roadside unit to form a coding packet, wherein selection of the data packets during coding is unequal, and then sending the coding packet; and decoding, by the vehicle, the received coding packet sent by the roadside units so as to recover a cache file and to complete fountain code-driven multi-roadside unit collaborative caching. The method can relieve the caching pressure of the roadside units and improve the transmission efficiency of cached content and the file recovery rate.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a buffering method driven by a fountain code and coordinated by multiple side units. Background technique [0002] In recent years, with the maturity of 5G technology and the further deepening of 5G applications, the Internet of Vehicles technology has attracted extensive attention from academia and industry. Faced with many challenges such as multimedia in-vehicle services with a large amount of data and high-security and high-stability requirements, in-vehicle networks must adopt more effective communication technologies to cope with the ever-expanding in-vehicle network capacity requirements to meet relatively large High service quality requirements. Studies have shown that the cache technology that deploys the files required by users to the network in advance can effectively relieve the pressure on network bandwidth, reduce network congestion, and improve user s...

AI Technical Summary

Problems solved by technology

However, for the encoding and caching technology based on fountain codes in the Internet of Vehicles, the existing research mainly focuses on strategically optimizing the cache location and cache content, through the specified objective function, such as minimizing the delay for users to obtain content and maximizing the unloading of content. Rate, etc., to allocate cached content, rarely based on the characteristics of fountain codes for coding design, did not fully utilize the cache gain brought by fountain code coding, that is, by reducing the decoding overhead of the receiving end, improve the transmission efficiency of cached content and file recovery rate

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