2018
DOI: 10.3390/s18103389
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User-Information-Aware D2D Multicast File Distribution Mechanism

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 … Show more

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Cited by 4 publications
(2 citation statements)
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References 29 publications
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“…Further, social tie also means demand similarity. SU selection, user grouping, and power and channel allocation in content push service, such as in work by Tulu et al [36], Huang et al [37], Feng et al [38], and Wu et al [39]. Moreover, Bai et al [40] proposed a hybrid pull/push scheme by D2MD based on an social tie threshold.…”
Section: Related Workmentioning
confidence: 99%
“…Further, social tie also means demand similarity. SU selection, user grouping, and power and channel allocation in content push service, such as in work by Tulu et al [36], Huang et al [37], Feng et al [38], and Wu et al [39]. Moreover, Bai et al [40] proposed a hybrid pull/push scheme by D2MD based on an social tie threshold.…”
Section: Related Workmentioning
confidence: 99%
“…Rebecchi et al propose a learning‐based solution that dynamically selects multicast cellular or D2D for end users to guarantee the timely delivery of data. Xu and Huang et al introduce D2D multicast (D2MD) communication, where a D2MD cluster is formed by nearby users with the same service demands, and a cluster head node is selected by the base station. The content requested by the members of the D2MD cluster is sent to the cluster head, and then, cluster head relays the content to other cluster members by D2MD communication.…”
Section: Literature Reviewmentioning
confidence: 99%