Pigeon flock optimization algorithm used in fog wireless access network and collaborative caching method based on pigeon flock optimization algorithm

Abstract

The invention discloses a pigeon flock optimization algorithm for a fog wireless access network and a collaborative caching method based on the pigeon flock optimization algorithm. The pigeon flock optimization algorithm comprises the following steps: (1) dividing fog wireless access nodes in the fog wireless access network into a plurality of clusters; (2) specifying a route for forwarding the file request of the user in the network; (3) calculating the local popularity of each file by the fog wireless access point through the received file request number, and finally solving the optimal cache distribution in the fog wireless access point cluster by adopting an improved pigeon flock optimization algorithm; (4) enabling the cluster head to solve a cooperation strategy in the fog wireless access node cluster by adopting an improved pigeon flock optimization algorithm through the received file request and the intra-cluster cache table. According to the invention, the average downloadingtime delay of the network can be effectively reduced.

Description

technical field [0001] The invention relates to content cache technology, in particular to a pigeon group optimization algorithm used in a fog wireless access network and a cooperative cache method based on the algorithm. Background technique [0002] At present, in order to reduce the load of the backhaul link in the network, people's research on the buffer arrangement in the wireless communication system mainly focuses on the existing architecture such as the cloud radio access network, and most of the research does not consider the cooperation between the base stations. [0003] However, the existing communication network architecture does not meet the requirements of 5G / B5G communication. Moreover, with the arrival of the 5G / B5G era, the number of files in the network will increase greatly, and the average download delay of files in the network will also increase greatly. Therefore, it is an urgent problem to find a low-latency cache placement strategy suitable for 5G / B5...

AI Technical Summary

Problems solved by technology

[0003] However, the existing communication network architecture does not meet the requirements of 5G / B5G communication. Moreover, with the arrival of the 5G / B5G era, the number of files in the network will increase greatly, and the average download delay of files in the network will also increase greatly.

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