Multi-attribute Handover of Ultra-dense Heterogeneous Networks Based on Bayesian Decision-making
WANG Hao
LI Hui
ZHANG Jian
Abstract：In the ultra-dense heterogeneous network environment,due to the different requirements of network attributes for different services of users,there is a problem of network switching errors,which will affect the quality of experience of users.In this paper,a multi-attribute handover strategy for ultra-dense heterogeneous networks based on Bayesian decision is proposed.Firstly,according to the location of users in the heterogeneous network model,the coverage probability of users for each base station is cal-culated.Secondly,according to the user's own business preference for different network attributes,the subjective weight is calculat-ed,and the objective weight is calculated according to the network attribute parameters of each network,and finally the total weight set is obtained.Thirdly,the utility value of each service under different networks is calculated by the total weight set.Then,the han-dover probability of mobile users at different locations relative to each network is calculated by combining the maximum likelihood estimation.Finally,the utility value is combined with the switching probability to obtain the final calculated value,and the candi-date network with the largest calculated value is selected as the target network for mobile user switching to achieve accurate user switching.The simulation results show that the strategy can solve the problem of inaccurate selection caused by mobile users in dif-ferent service requirements and different network attributes in ultra-dense heterogeneous networks,and improve the reliability of the network.
Keywords：ultra-dense heterogeneous networknetwork handoverresource allocationutility functionBayesian deci-sion-making
Publication Date：2025-06-20
Online Publishing Date：2025-09-23(First online date of this platform, not the publication date of the document)
Pages：9( 1624-1632 )