QoE-aware user association and resource allocation for mixed services in heterogeneous networks

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Li, Shuxian^1 ; Tang, Liangrui^1 ; Yan, Jiangyu^2

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing

102206, China^1

School of Control and Computer Engineering, North China Electric Power University, Beijing

102206, China^2

关键词: Delay factors;    Heterogeneous network (HetNets);    Mixed integer non-linear programming problems;    Mixed service;    Optimization problems;    Packet loss rates;    Radio resource management;    User associations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/7/072023/pdf
DOI  :  10.1088/1757-899X/490/7/072023

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In heterogeneous networks (HetNets), user association and resource allocation (UARA) is a great challenge for radio resource management (RRM). In this paper, a novel QoE-aware UARA scheme is proposed. The delay factor is introduced to QoE metric to weight delays' effect on service transmitting. Then the UARA scheme based on QoE is formulated as an optimization problem which is a mixed integer nonlinear programming (MINLP) problem. To solve the problem, we adopt the genetic algorithm (GA) and associate the user association and the resource with population and fitness respectively. Through the evolutions of genetic algorithm, the optimal UARA scheme can be worked out. The simulation results indicate that the proposed scheme can reduce packet loss rate, and improve the system load balancing performance.