Resource Allocation for Content Downloading in Socially-Enabled D2D Communications Underlaying Cellular Networks
Content downloading using Device-to-Device(D2D)communications is a prospecting method for improving energy efficiency and reducing downloading delay.However,most research on this topic typically concentrates on physical transmissions,but not make full use of users social information.In this paper,we study the resource allocation problem including content downloading mode selection and link allocation in a socially-enabled cellular network,by considering both physical transmissions and social information.Moreover,we turn to users static social information,e.g.social ties,to model the deliver willingness of content owners and dynamic social knowledge,e.g.contact time,to measure the success deliver probability.Furthermore,we define the resource allocation problem as a coalition graph game to study the cooperation among the content owners and the content askers.Moreover,a coalition graph formation algorithm is designed to get a local Nash network of the game,where all the D2D downloading links are stably established.Numerical results demonstrate the effectiveness of our study.
Content downloading D2D communications Social information Coalition graph game
Lianxin Yang Yueming Cai
Institute of Communications Engineering,PLA University of Science and Technology,Nanjing 210007,China
国际会议
重庆
英文
1384-1388
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）