Load balancing resource optimization method for security-aware cloud wireless access network

Abstract

The invention discloses a load balancing resource optimization method under a security-aware cloud wireless access network, the steps of which are: collecting resource information allocated by the system; using area balancing and transmission balancing strategies to obtain a convex optimization problem; when exceeding the load balancing threshold , use the adaptive dynamic particle swarm optimization algorithm to optimize the power in the case of load balancing: initialize the parameters of the dynamic particle swarm optimization algorithm, initialize the particle swarm space, and initialize the group; calculate the fitness of each individual in the group according to the fitness function; according to The particle swarm algorithm formula updates the current optimal position of the individual and the optimal position of the group; obtains the position and velocity of each particle after displacement; crosses and mutates the knowledge space; judges the iterative convergence index, and outputs the optimal one if it converges Individual, if not repeated until the preset number of iterations is completed. The present invention is a method for achieving load balance and power optimization under safety awareness through an optimization algorithm without changing the network setup under the condition of unbalanced system load.

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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