Network Slice Resource Adaptive Dynamic Adjustment Method Based on Bat Algorithm

With the continuous improvement of material life and spiritual life, people continue to innovate in business and put forward various demands for network. Network slice can be used to construct virtual logical network according to the needs of different application scenarios, such as network rate, delay and reliability, etc., according to the needs of business for network function and security, etc., which is one of the key technologies of 5G. Aiming at the QoS demand of network slice diversification, a resource allocation method of network slice based on discrete binary particle swarm optimization algorithm is proposed. This paper proposes an adaptive dynamic resource adjustment strategy based on bat algorithm. Faced with huge resource allocation and its characteristics of dynamic, it is no longer enough to balance the advantages and disadvantages of resource allocation strategy from a single aspect. Aiming at these problems, from two aspects of the user and resource provider, introduces the bat algorithm in resource allocation strategy, set up the minimum resource utilization and resources adjustment cost as the double constraints of resources adjustment quantity decision model, the simulation results show that the bat algorithm can effectively solve the network section of dynamic allocation of resources to improve the utilization ratio of resources.