Research On Resource Allocation Technology Of Multi-User MECO System Based On Broad And Narrow Band Private Network

When natural disasters,terrorist attacks,public emergencies or large-scale security events occur,an integrated,fast response and strong stability of the police private network can ensure the stable operation of communication equipment.At present,China's private police network includes narrowband Police Digital Trunking(PDT)network and Broadband Trunking Communication(B-Trun C)network.At the same time,with the development of information technology,it needs a strong information processing ability of the police terminal.However,higher hardware processing capacity will accelerate the consumption of battery energy and reduce the working time.How to build an intelligent system with strong performance,low energy consumption and fast response has become a research hotspot.In order to solve the above problems,this paper designs a network selection algorithm on the user side and a resource allocation algorithm on the base station side based on the intelligent resource adaptation engine.This engine can combine the broadband private network with the Mobile Edge Computing Offloading(MECO)technology to help the police terminals better excute the complex task.The simulation results show that the algorithm proposed in this paper can better help the terminal select the appropriate network for access,and has lower complexity while saving energy consumption.Firstly,this paper introduces the architecture of intelligent resource adaptation engine,and points out that the problems studied in this paper,including network selection on the user side and resource allocation on the base station side.At the same time,it also introduces two kinds of mainstream private networks in China,narrow band PDT network and broad band B-Trun C network.In order to improve the processing capacity of the terminal and reduce the energy consumption,MECO technology is also introduced as an auxiliary technology to help the terminal better excute the application tasks.Secondly,for the user side network selection,this paper proposes a network selection algorithm based on subjective and objective weight method.The terminal uses the subjective weight method based on Triangular Fuzzy Number and the objective weight method based on Rough Set Theory to obtain the weight of each attribute in the network selection.Then,TOPSIS method is used for each candidate network and select the network access with the highest score.The simulation results show that the network selection algorithm proposed in this paper has better robustness.Finally,for the resource allocation on the base station side,it is necessary to combine the private network and MECO system to find the appropriate resource allocation scheme.According to the different access modes between PDT network and B-Trun C network,this paper divides them into two parts.For PDT network,this paper establishes the data offloading model and energy consumption model,and establishes the corresponding optimization function.Through optimization,the optimal solution on resource allocation is obtained.At the same time,a sub-optimal resource allocation algorithm based on bisection is proposed.Simulation results show that the sub-optimal algorithm has lower complexity while saving more energy consumption.For BTrun C network,this paper also establishes the corresponding offloading model and energy consumption model.Because of the higher complexity of solving the optimization function,this paper proposes a sub-optimal algorithm based on priority.Compared with the optimization algorithm,the sum of the total energy consumption of the system does not increase too much.Moreover,the sub-optimal algorithm has lower complexity,and it is more suitable for B-Trun C resource allocation algorithm.