Research On Handover Algorithm In Wireless Network Based On OoE

With the development of mobile network technology and the popularization of smartphones and computers,the demand for mobile services has been increased exponentially.The focus on wireless network optimization has been shifted from Quality of Service(QoS)for the network to Quality of Experience(QoE)for users.In the past,the network optimization research on QoS could not fully meet the requirements of users' QoE.Therefore,this thesis has carried out research on the handover algorithm used in the wireless network to ensure the QoE when the user is moving.This paper proposes a dynamic particle swarm optimization(Dynamic Particle Swarm Optimization,DPSO)handover algorithm and the fastest QoE search handover algorithm.Two handover algorithms are researched in the ideal cellular network and the actual wireless environment,and the user QoE is finally optimized.The handover algorithms proposed in this thesis are compared with the traditional handover algorithm with fixed parameters.The proposed handover algorithms can improve and balance the user's QoE.First,this thesis puts forward the DPSO handover algorithm,which controls handover parameters by running a handover optimization algorithm based on the dynamic particle swarm optimization(DPSO)in a central controller,which finally optimizes the overall QoE and reduces the proportion of users with extremely poor QoE.The simulation results show that the DPSO algorithm ensures the quality of the algorithm and increases the speed of convergence by nearly twice that of the standard particle swarm optimization algorithm(SPSO).After adopting the DPSO handover algorithm,the overall QoE of users is increased by 6.22%and 4.59%while the variance of users' QoE is decreased by 14.2%and 22.6%,compared with the immediate handover algorithm and the traditional handover algorithm respectively.The number of users with QoE less than 1.9 is reduced to 0 with the proposed algorithm.In addition,When the number of base stations in DPSO algorithm increases,the iterations may be too long.Therefore,the fastest QoE search algorithm is proposed.The algorithm increases and decreases the handover parameters by 3dB,and obtains the changes of the handover parameters according to the corresponding QoE changes.Then,this thesis uses the 7-day's wireless measurement report datas of a certain area to compare the TS36942 model with the standard propagation model with the least square method.Finally,this thesis simulates the wireless environment of this area with TS36942 calibration model.Based on the wireless environment in this area,the DPSO handover algorithm reduces the QoE variance by 10.14%compared to the handover algorithm with the fixed handover parameter of 0,and the overall QoE increases by 10.8%;compared to the handover algorithm with the fixed handover parameter of 4,the QoE variance is reduced That's 8.17%.The QoE of users is improved by 9.19%.The fastest QoE search handover algorithm reduces the QoE variance by 9.18%compared to the handover algorithm with the fixed handover parameter of 0,and the overall QoE increases by 10.25%.Compared with the handover algorithm with a fixed handover parameter of 4,the QoE variance is reduced by 7.18%.the overall QoE is increased by 8.62%.Compared with the DPSO algorithm,the fastest search algorithm reduces the complexity of time and space,and the number of iterations is reduced by nearly half compared to the DPSO algorithm.Finally,this thesis changes the user's speed.With different user speeds,the two handover algorithms proposed in this thesis can optimize the user's QoE well.This thesis proposes two handover algorithms.The DPSO algorithm has higher accuracy and the iterations of the fastest QoE search are fewer.The QoE of the two algorithms are close.They can also optimize of QoE when the users are moving.