一句话：提出QoE敏感的多媒体智能定价框架，用两阶段Stackelberg博弈和前景理论按用户偏好定价。
该研究关注无线通信中按需多媒体服务的用户满意度与QoE定价问题。传统方法多以吞吐量、时延等客观指标衡量满意度，而本文基于Smart Media Pricing理念，构建QoE敏感定价框架：分别为提供商-运营商和用户定义效用方程，将双方利润最大化交互建模为两阶段Stackelberg博弈，并采用符合前景理论假设的Prelec权重函数刻画用户个人偏好；随后设计算法实现定价方案并求解Nash均衡。仿真中将该方案与传统定价方法对比，结果表明所提智能定价能显著提升移动用户获得的效用。
Providing user satisfaction is a major concern for on-demand multimedia service providers and Internet carriers in Wireless Communications. Traditionally, user satisfaction was measured objectively in terms of throughput and latency. Nowadays the user satisfaction is measured using subjective metrices such as Quality of Experience (QoE). Recently, Smart Media Pricing (SMP) was conceptualized to price the QoE rather than the binary data traffic in multimedia services. In this research, we have leveraged the SMP concept to chalk up a QoE-sensitive multimedia pricing framework to allot price, based on the user preference and multimedia quality achieved by the customer. We begin by defining the utility equations for the provider-carrier and the customer. Then we translate the profit maximizing interplay between the parties into a two-stage Stackelberg game. We model the user personal preference using Prelec weighting function which follows the postulates Prospect Theory (PT). An algorithm has been developed to implement the proposed pricing scheme and determine the Nash Equilibrium. Finally, the proposed smart pricing scheme was tested against the traditional pricing method and simulation results indicate a significant boost in the utility achieved by the mobile customers.
DOI 原文 ·
@inproceedings{paperbot5267,
title = {User Preference Aware Multimedia Pricing Model using Game Theory and Prospect Theory for Wireless Communications},
author = {Krishna Murthy Kattiyan Ramamoorthy},
booktitle = {ASE},
year = {2019},
doi = {10.1109/ase.2019.00157}
}