关键词: 场景扩展, 联盟形成博弈, 内容共享, 物理-社交感知, 支付激励

Abstract: Multimedia services,especially online video services,are explosively developing. D2D(Device-to-Device) multicast content sharing is considered as a key technology that can handle massive data delivery.However,most of the current researches on D2D multicast content sharing focus on how to improve the energy efficiency of the system,while there are few researches on the data rate sum of the system,which is an important index to reflect whether the system can efficiently distribute content.In order to establish a user model which is closer to the actual scene and implement efficient content delivery to alleviate the burden of Base Stations and improve the utilization efficiency of resources (spectrum and energy),this paper proposes a kind of D2D multicast content sharing scheme based on physical-social awareness and pay incentive.Firstly,D2D multicast communication is mode-led according to the limitations of the actual scene,and the application scene of the model is expanded to the “hot spot” area with content sharing at high data rate where people are concentrated and the “blind spot” area at which the data cannot be easily transmitted directly by Base Stations in earthquake relief operations.Then,in order to effectively reduce the load of Base Stations and to cope with huge amounts of data delivery,this paper puts forward the optimization problem that the system equivalent data rate sum is regarded as an objective function under multiple constraints.In the objective function,the payment mechanism is introduced to encourage users to provide shared content for other users as cluster heads,and social ties based on similarity of interest are introduced to reduce user payment cost and improve resource utilization efficiency.Finally,a cluster head selection-cluster formation algorithm is proposed to solve this problem.In the cluster head selection algorithm,social ties based on similarity of user interest is introduced while considering the limit of user data rate threshold.In the algorithm of cluster formation,a coalition formation game of centralized control is adopted,in which the gain definition is highly consistent with the connotation of “coalition”.The simulation results show that the performance of the proposed scheme on the equivalent data rate sum and actual data rate sum is significantly improved compared with the relevant similar scheme,and it is also proved that the proposed scheme issuita-ble for large-scale user networks.

Key words: Coalition formation game, Content sharing, Payment incentive, Physical-social awareness, Scenario extension