| With the rapid development of mobile communication,the latencysensitive and computation-intensive businesses in the Fifth Generation Mobile Communication System(5G)are growing exponentially.In order to more effectively utilize scarce network resources and address issues such as lack of flexibility in the current network architecture,inadequate consideration of resource allocation for service caching and business personalization,and low resource utilization efficiency,improvements have been proposed for the existing 5G network architecture and resource allocation strategies.Through in-depth research on resource allocation of computing and bandwidth,this article analyzes how to solve resource allocation problems for different types of businesses in new application scenarios to improve system performance.Firstly,this article investigates a 5G network architecture based on network slicing and Mobile Edge Computing(MEC),in light of the existing network architecture and key technologies of 5G.This architecture utilizes network slicing technology to provide differentiated services for business needs,deploys edge computing servers to reduce computation delays for latency-sensitive services.Secondly,based on the 5G base station scenario,a joint network slicing MEC system resource allocation strategy is proposed.This strategy comprehensively considers the impact of service arrival rate and network slicing on MEC server service caching.The caching problem is an NP-hard problem,and this article uses dynamic programming algorithm to select cached services,which obtains a higher service value.The M/G/1 queuing system is used to simulate the service process of the MEC server,and the computation offloading is calculated based on service caching decisions and slicing priorities,which reduces the computation delay of network services.Simulation proves that the proposed resource allocation strategy has good performance in improving resource utilization and reducing computation delay.Lastly,in the 5G base station scenario proposed in this article,a joint network slicing MEC system resource allocation strategy is proposed.According to the results of the MEC system resource allocation,this strategy calculates the air interface resource demand of different slices in the MEC system.Then,considering the effects of isolation coefficient,slicing priority,and core network computation delay,a utility model for access network slicing wireless resource allocation is established,and the resource allocation plan is determined using the Lagrange multiplier method under KKT conditions.This model can adapt to various demand scenarios,achieve appropriate trade-offs between isolation coefficient,slicing priority,and service efficiency,and simulation also proves the effectiveness of this strategy in this aspect. |
