Load balance resource optimization method under safety perceptive cloud radio access network

Abstract

The invention discloses a load balance resource optimization method under a safety perceptive cloud radio access network. The method comprises the steps of collecting resource information allocated by a system; obtaining a convex optimization problem by use of regional balance and transmission balance strategies; optimizing a power under load balance condition by use of a self-adaption dynamic particle swarm optimization when a load balance threshold value is exceeded; initializing the parameters of the dynamic particle swarm optimization, initializing particle swarm space, and initializing a population; calculating the fitness of each unit in the population according to a fitness function; updating the optimum position of the current unit and the optimum position of the population according to a particle swarm optimization formula; obtaining the position and speed of each particle after displacement; carrying out intersection and variation on knowledge space; judging iteration convergence indexes; outputting optimum units if convergence occurs; and repeating the steps until the preset iteration times is finished if the convergence does not occur. The method is the load balance and power optimization method under safety perception through an optimization algorithm without changing network architecture under the condition that the system loads are imbalanced.

Description

technical field [0001] The invention belongs to the technical field of computer networks, in particular to a security-aware load balancing optimization method in a cloud radio access (C-RAN) network. Background technique [0002] The proliferation of lightweight handhelds, tablets, and other media-hungry devices, along with the enormous benefits of having wireless connectivity everywhere, all the time, has spurred the development of network hotspot deployments. To achieve resource efficient utilization without significant changes to cellular network infrastructure and user terminals, cloud radio access network (CRAN) is used to address challenges faced by mobile service providers, such as spectral efficiency and energy restoration. For example, document 1 (Z.Zhu, P.Gupta, and et al. "Virtual base station pool: towards a wireless network cloud for radio accessnetworks." in Proc. of the 8th ACM International Conference on ComputingFrontiers, 2010.) described . The CRAN-based...

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Problems solved by technology

[0006] However, these methods cause signaling overhead when used, so a centralized load balancing optimization method in the C-RAN network environment is required

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