非授权频段下异构无线网络的多维协同激励技术研究

To reap the coordinated development of heterogeneous wireless networks in unlicensed spectrum, it is necessary to profoundly address various challenges associated with their correlation. In this project, we provide a comprehensive treatment of multi-dimensional incentive mechanisms under the fair coexistence of heterogeneous wireless networks in unlicensed spectrum (1) In particular, we first investigate the correlation between fairness and efficiency in term of spectrum utilization and propose a fairness index based on airtime fraction. The goal of this part of research is to find the principle between fairness and the enhancement of network performance by employing game theory. (2) In what follows, we model the interaction among LTE-U cells and Wi-Fi stations as a coalitional game. The enhanced of social welfare, as well as participants’ self-interests is sought to be attained thanks to the proposed profits distribution mechanism in Shapley Value. (3) We present a traffic demand model based on the data trace collected from real users, and propose an optimal deployment and pricing strategies, which allows us to optimize global benefits and unleash the solutions of LTE-U deployment. (4) We next model the interactions, including pricing policies , traffic demand and competition, among LTE-U cells, Wi-Fi APs and EUs as a tripartite game, which captures both network and business aspects of the heterogeneous wireless applications over unlicensed spectrum. A feasible incentive framework is proposed to achieve a higher Pareto efficiency of three parties. The novelty of this project is to reveal the complicated princple among the heterogeneous wireless applications in unlicensed spectrum in the context of game theory. We incent the participants of heterogeneous wireless applications coexisting in a fair and efficient way. The project focuses not only on the detail technical issues on system implementation, but also concentrate on economic analysis from macroscopic view. We believe that it could shed light on the deployment and evolution of LTE-U application.

非授权频段下异构无线网络的协同发展本质上需把握其共存融合过程中的多维动态因素及其复杂互作用关系。本项目以异构网络技术融合共存为背景，研究非授权频段下LTE-U和Wi-Fi协同发展的多维激励技术，包括：(1)研究频段占空比和数据吞吐率的作用关系，构建公平性评价指标，利用博弈模型揭示异构网络公平效率兼顾的共存规律；(2)利用联合博弈论对多个异构网络设施共存场景进行建模，基于夏普利值改进联盟收益分配，在满足激励相容前提下达到公平融合共存；(3)建立符合用户流量特征的需求模型，提出优化价格算法激励用户流量需求；(4)建立异构网络场景的三方博弈模型,分析价格策略、客流模型、竞争态势等多维因素影响，提出协同激励框架，改进全局网络性能。本项目结合网络经济学和无线协同技术，期望能细致有效地揭示非授权频段下异构无线网络协同激励的复杂规律，为解决LTE-U技术发展时遇到的技术及利益瓶颈提供重要借鉴。

本项目以非授权频段下异构无线网络LTE-U和Wi-Fi融合为研究背景，结合博弈论，研究了关于LTE-U和Wi-Fi的多维协同激励技术。本项目首先深刻理解了LTE-U和Wi-Fi协议的指标参数变化对异构无线网络整体性能的影响，并构建了兼顾公平和效率的评价指标。在此基础上，结合了联合博弈论和价格理论，对非授权频段中各参与实体行为进行了建模，并提出了使用夏普利值达到改进全局福利目的。进一步地，分析了区域中的客流变化数据特征，建立了用户流量模型，研究了应用价格机制预测并引导客流变化趋势。建立了异构无线网络环境下的三方博弈模型，从技术指标，价格策略、客流模型及竞争态势等多维角度对三方博弈模型进行综合深入分析和准确预测。项目开发实现了一个基于mininet及SDN环境下的异构无线网络原型系统，基于此原型系统，对项目的一些关键指标参数进行了验证，并给出了一些建议指标，如异构无线网的原型节点个数等。通过四年的研究工作，基本已完成项目的计划内容。