TY - JOUR
AU - 
AB - sensors Article User-Information-Aware D2D Multicast File Distribution Mechanism 1 , 2 , 1 1 1 , 2 , 1 Hongcheng Huang * , Biao Liu , Min Hu , Yang Tao * and Wei Xiang School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; s160131095@stu.cqupt.edu.cn (B.L.); humin@cqupt.edu.cn (M.H.); s170131014@stu.cqupt.edu.cn (W.X.) Chongqing Engineering Research Center of Communication Software, Chongqing 400065, China * Correspondence: huanghc@cqupt.edu.cn (H.H.); taoyang@cqupt.edu.cn (Y.T.); Tel.: +86-23-6246-0065 (H.H.) Received: 8 September 2018; Accepted: 7 October 2018; Published: 10 October 2018 Abstract: There are a large number of redundant transmissions in current D2D multicast content delivery systems, which seriously reduces the utilization efficiency of resources. This paper designs a novel user-information-aware D2D video distribution mechanism. More specifically, by predicting users’ video requests, the video can be pushed to potential service requesters while distributing video for service requesters. Firstly, the willingness of potential requesters to accept the pushed video is estimated based on the users’ interests, the popularity of the videos and the residual-energy of the users’ devices, and the user-demand-aware clustering algorithm is proposed. Secondly, considering social and interference information, the utility metric of D2D multicast is proposed to measure the value of 
TI - User-Information-Aware D2D Multicast File Distribution Mechanism
JF - Sensors
DO - 10.3390/s18103389
DA - 2018-10-10
UR - https://www.deepdyve.com/lp/unpaywall/user-information-aware-d2d-multicast-file-distribution-mechanism-HVDQwCZBo1
DP - DeepDyve
ER -