基于用户体验质量的异构网络资源分配策略

为有效缓解异构网络面临的能耗问题以及同信道干扰引发的用户体验质量不理想现象,提出一种基于用户体验质量的异构网络资源分配方案,该方案包括用户传输模式选择、子信道分配以及功率优化。建立以用户体验质量最大以及网络功耗最小的多目标优化模型,采用改进非支配排序遗传算法求解该模型的Pareto解集,利用TOPSIS的方法选择最终的资源分配方案。仿真结果表明,与对比方案相比,所提方案能够提升用户体验质量,降低网络功耗,保证了用户体验质量的公平性。

Resource allocation scheme based on QoE in heterogeneous networks

To effectively alleviate the energy consumption problem and the unsatisfactory quality of user experience caused by co-channel interference,a resource allocation scheme in heterogeneous networks based on user experience quality was proposed.This scheme included user transmission mode selection,subchannels allocation and power optimization.A multi-objective optimization model with the objective of maximizing quality of user experience and minimizing power consumption was established.The non-dominated sorting genetic algorithm version II was used to solve the Pareto solution set of the model,and the final resource allocation scheme was selected using TOPSIS. The simulation results show that the proposed scheme can improve the user experience quality,reduce the power consumption,and ensure the fairness of the user experience quality by comparing with the existing method.