Research On QoE-based And Energy-efficient Resource Allocation Algorithm

In recent years,with the continuous innovation and development of wireless communication technologies,the explosive growth of mobile subscribers and rich data services has been explored.The shortage of wireless resources and the differentiated quality of service requirements have become the major challenges for wireless networks.Therefore,how to improve the system spectrum efficiency and ensure QoS requirements of different services has always been a problem that the wireless communication network is dedicated to solving.On the other hand,with the dramatic increase in user demand for high-rate data services,the energy consumption and environmental problems caused have become more and more serious.At the same time,QoS as an objective indicator of network performance has been unable to meet the needs of future wireless communication networks.However,as a real and intuitive performance index reflecting user experience,QoE attracts more and more attention in the industry.In this paper,we choose or design a QoE assessment model for different service features from the perspective of users,and consider the QoE requirement of the user to maximize the system and throughput and QoE energy efficiency as The goal,based on user experience and energy efficiency,is to allocate wireless resources efficiently and efficiently,improve the system performance while ensuring user experience quality.In this paper,we firstly studies the problem of resource allocation based on user experience in multi-service downlink transmission scenario of LTE-A system.Based on the requirement of user experience quality,the optimization problem is modeled with the goal of maximizing system weight and data rate.A QoE-aware rate adaptive resource allocation and scheduling algorithm is proposed.The simulation results show that this algorithm can achieve a certain degree of system spectrum efficiency and user experience quality balance.Compared with the existing RT/NRT resource allocation algorithm,the proposed algorithm has improved performance in terms of user packet loss rate,average QoE and cell spectrum efficiency.Finally,on the basis of traditional energy efficiency resource allocation,this paper considers the quality of user experience and researches the resource allocation which aims to maximize the energy efficiency of users' QoE.First,a mathematical model for the joint optimization of QoE and energy efficiency is given,taking into account the minimum QoE requirements of users.Secondly,an iterative algorithm is proposed toallocate user resource blocks(RBs)according to the optimization conditions.Then,by using the nature of fractional programming and using the convex optimization method to obtain the optimal transmit power to optimize the objective function,the user's user Experience energy efficiency maximization.The simulation results show that this algorithm can effectively improve the system performance while ensuring QoE of users,which is in line with the concept of green communication in the future.