摘要
D2D用户缓存技术可以有效减轻基站(Base Station,BS)的缓存负担。为了满足用户对多种视频文件质量的需求,可以采用可伸缩视频编码(Scalable Video Coding,SVC)方法来处理文件。文中提出了一种端到端(Device-to-Device,D2D)用户缓存场景下对SVC文件的定价和缓存策略联合优化算法。首先考虑用户和内容提供者(Content Provider,CP)的利益,结合SVC文件各层数据包间的联系,推导了缓存文件的激活概率以及请求文件通过D2D传输或BS传输的概率;在此基础上,综合考虑传输与缓存消耗,定义用户和CP的效用函数,建立以CP为领导者,用户为跟随者的斯坦伯格博弈模型;最后,分别优化文件价格与缓存策略。仿真结果表明,该算法能够合理利用网络中的传输和缓存资源,从而提高系统的总效用。
The device⁃to⁃device(D2D)user caching technology can effectively reduce the caching burden of the base station(BS).And the scalable video coding(SVC)method can be used to process files to feed the user needs for multiple qualities.In this paper,a joint optimization algorithm of price and caching strategy based on SVC files is proposed for D2D user caching scenarios.In consideration of the interests of users and content providers(CPs),an incentive mechanism is introduced,and combined with the connection of each layer of SVC files.And the activation probability of SVC cache files and the transmission probability of the request files through D2D or BS are derived.First,considering the transmission and cache consumption,we define the utility function of users and CPs based on the derived probability.Second,we establish a Stackelberg game model with CPs as the leaders and users as the followers.Third,we optimize the file price and the cache strategy.The simulation results demonstrate that the proposed algorithm can reasonably use the resources of transmission and cache in the network and improve the total utility of the system.
作者
岳雯雁
赵夙
朱琦
YUE Wenyan;ZHAO Su;ZHU Qi(College of Telecommunications&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Jiangsu Key Laboratory of Wireless Communications,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处
《南京邮电大学学报（自然科学版）》
北大核心
2022年第2期54-65,共12页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(61631020)资助项目。
