Video green caching method of cognitive content centric network

Abstract

The invention relates to a green video caching method for a cognitive content centric network, which comprises the following steps: S1, establishing a system model which comprises a C-CCN model, a caching strategy based on SVC and an interference model based on OFDM; S2, performing successful content transmission probability analysis through the system model, and deriving an SCDR through the obtained successful content transmission probability expression; and S3, establishing an energy model so as to maximize the EE. The method is used for a cognitive content center network, a video file is encoded by adopting an SVC technology, spectrum resources are modulated by OFDM, and optimal content placement is realized by taking EE maximization as a target; an expression of a successful content transmission rate is derived for establishing an EE model; conflict interference between a secondary base station and PUs due to imperfect channel state information is considered, a total power consumption model of a caching strategy is established, and finally, an EE optimization problem constrained by the caching size is formulated and expressed, so that the purpose of maximizing energy efficiencyis achieved.

Description

technical field [0001] The present invention relates to the technical field of information center network and cognitive radio network, in particular to a green video caching method of cognitive content center network. Background technique [0002] The current Internet architecture has been used for many years as a global information infrastructure, which is mainly suitable for communication between static hosts. However, the huge growth of network data traffic and user demand has changed from traditional host-centric services to content-centric services, including social networking, multimedia and mobile phone applications. Aiming at the challenges of low latency, redundancy and high definition brought by such content acquisition applications, Content Centric Networking (CCN) has attracted extensive attention from researchers. [0003] An important feature of CCN is in-network caching, which places popular content on nodes close to users in advance during off-peak hours, so...

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Problems solved by technology

However, these studies cannot be applied to more realistic scenarios where different users' demands on video quality need to be considered

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