Research On D2D Video Distribution Based On User Attributes In Mobile Social Networks

With the rapid development of wireless communication technology and mobile devices such as smart phones,tablets are widely popular around the world.The exponentially increasing video traffic generated by mobile devices places a huge load on scarce spectrum resources.Especially similar or same videos are demanded by a large number of users which will result in redundant transmission of local content.Repeated multimedia video transmission not only consumes a lot of network resources and affects delay performance and transmission efficiency,but video redundant transmission brings a huge load and energy loss to the base station.To solve this problem,Device-to-Device(D2D)technology is proposed by the 3rd Generation Partner Project(3GPP).D2 D is different from traditional cellular communication technology.D2 D technology no longer passes through the base station rather than directly transmits video between adjacent devices within a certain range.This technology effectively reduces repeated video transmission of the base station and can reduce the energy consumption of the base station as much as possible.Meanwhile,it can improve network resource utilization.However,users participating in video distribution will cause their own energy consumption.Many previous studies ideally required that users are willing to participate in video distribution unconditionally,but this is not in line with reality.Relevant researches neglected that user attributes can affect the efficiency of video distribution.These researches cannot actually reduce the transmission of repeated video by the base station.Therefore this thesis focuses on user attributes and proposes a D2 D video distribution mechanism,which effectively reduces the transmission of redundant video.Then this thesis proposes a multicast incentive mechanism with user attributes in the D2 D video distribution process to encourage users to participate in video distribution and increase users' willingness to distribute videos.The main research content of this thesis is divided into the following two aspects:(1)This thesis proposes a D2 D video distribution mechanism based on user attributes in mobile social networks.To avoid multicast requesting users to receive duplicate videos,the base station adopts the grid-based clustering method according to the user's location and the temporary communication links constructed between users for video distribution.At the same time,this thesis selects appropriate cluster head users according to user attributes to balance their own energy consumption and distribution willingness.In addition,the social attributes of users are matched with the characteristics of video stream.By combining scalable video coding technology and Zipf distribution,this thesis makes video distribution relatively reliable and flexible.Due to the mobility characteristics of users in mobile social networks,video sharing among edge users is achieved.Simulation results show that the proposed D2 D video distribution mechanism can reduce redundant transmission and effectively decrease the energy consumption of the base station.(2)This thesis considers that users have selfish behaviors and are unwilling to consume their own energy to multicast videos.The social attributes of users are still not enough to build a stable distribution willingness,so this thesis proposes a D2 D video distribution mechanism based on the multicast incentive mechanism in mobile social networks.Cooperation users help base stations to distribute videos to demanding users.This thesis derives the social relationship between users based on the Page Rank algorithm and incorporates the social relationships of demanding users into the design of incentive mechanisms to achieve higher social welfare.Through the winner selection rules and Mobile Network Operator(MNO)payment rules,this thesis effectively motivate users to distribute videos and increase the willingness of cooperation users to distribute videos.Simulation results show that the incentive mechanism proposed in this thesis improves social welfare.