Optimization of network resource management based on software-defined networking in the 5G environment

The rapid development of mobile communication technology has led to the concept of the fifth generation mobile communication network (5G). In order to meet the complex and changeable requirements of 5G resources and to promote the innovation of core networks and applications, a new generation of future network architecture, software-defined networking has emerged. New frequency band resources need to be sought to support higher transmission speeds and larger frequency bandwidths. This paper studies network resource optimization in the 5G environment, proposes the particle swarm optimization (PSO) algorithm and uses the PSO algorithm to adjust each tenant’s bandwidth value to optimize network resource management. The performance of the PSO, the fusion and the genetic algorithms are simulated. Results show that the PSO algorithm can reasonably allocate bandwidth resources among congested and wasteful tenant networks, enhance network openness and improve the efficiency and flexibility of network resources. The PSO algorithm is feasible and efficient in solving problems of network resource optimization.