基于QoE的MIMO-NOMA系统功率分配方案

doi:10.13190/j.jbupt.2020-261

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (4): 62-67.doi: 10.13190/j.jbupt.2020-261

基于QoE的MIMO-NOMA系统功率分配方案

胡相格¹, 吴广富¹, 李涛², 彭德义¹

1. 重庆邮电大学通信与信息工程学院, 重庆 400065;
2. 东方红卫星移动通信有限公司网络工程部, 重庆 401147

收稿日期:2020-12-05 发布日期:2021-07-13
作者简介:胡相格(1995-),男,硕士生,E-mail:872699867@qq.com.
基金资助:
重庆市科技创新领军人才支持计划项目（CSTCCXLJRC201710）；重庆市基础科学与前沿技术研究项目（cstc2017jcyjBX0005）

Power Allocation Scheme for MIMO-NOMA System Based on QoE

HU Xiang-ge¹, WU Guang-fu¹, LI Tao², PENG De-yi¹

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
2. Network Engineering Department, Macro Net Communication Company Limited, Chongqing 401147, China

Received:2020-12-05 Published:2021-07-13

摘要/Abstract

摘要： 在多输入多输出非正交多址接入（MIMO-NOMA）系统中，衡量通信质量时仅仅考虑了用户的服务质量（QoS），而没有考虑用户终端的满意度.为此，提出一种基于Stackelberg博弈的优化用户体验质量（QoE）的动态定价功率分配算法.在网页浏览业务场景下，用平均意见分数（MOS）值来衡量用户终端的满意度，将用户设置为买方，基站设置为卖方，小区内各用户从基站处以瞬时单位功率价格购买功率，提升其MOS值；同时，卖方基站不断调整单位功率价格，以实现自身最大化收益，最终达到Stackelberg均衡.仿真结果表明，所提算法与基于QoS的功率分配算法相比，在公平性上提升了22.73%；与传统的定价算法相比，在吞吐量和MOS值上有明显提升；与基于凸差规划的功率分配算法相比，在时间复杂度上有明显降低.

关键词: 非正交多址接入, 用户体验质量, Stackelberg博弈, 功率分配

Abstract: Multiple input multiple output-non-orthogonal multiple access (MIMO-NOMA) systems typically only consider the quality of service (QoS) of users while omits the satisfaction of users. A dynamic pricing power allocation algorithm based on Stackelberg game is proposed to optimize the quality of experience (QoE). In the scenario of web browsing service, the mean opinion score (MOS) value is used to measure the satisfaction of the user terminal. The user is set as the buyer, and the base station is set as the seller. Each user in the cell purchases power from the base station at the instantaneous unit power price to improve their MOS values. At the same time, the seller base station constantly adjusts the unit power price to maximize their own profits and achieve Stackelberg equilibrium. Simulation results show that the fairness of the proposed algorithm is improved by 22.73% compared with the power allocation algorithm based on QoS, and the system performance is improved significantly compared with the traditional pricing algorithm. The time complexity is also reduced significantly compared with the power allocation algorithm based on convex programming.

Key words: non-orthogonal multiple access, quality of experience, Stackelberg game, power allocation

中图分类号:

TN929.5

胡相格, 吴广富, 李涛, 彭德义. 基于QoE的MIMO-NOMA系统功率分配方案[J]. 北京邮电大学学报, 2021, 44(4): 62-67.

HU Xiang-ge, WU Guang-fu, LI Tao, PENG De-yi. Power Allocation Scheme for MIMO-NOMA System Based on QoE[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(4): 62-67.

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基于QoE的MIMO-NOMA系统功率分配方案

Power Allocation Scheme for MIMO-NOMA System Based on QoE

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