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PROJECT TITLE :

Delay Analysis of Social Group Multicast-Aided Content Dissemination in Cellular System

ABSTRACT:

Primarily based on the common interest of mobile users (MUs) during a social cluster, the dissemination of content across the social cluster is studied as a powerful supplement to traditional cellular Communication with the goal of improving the delay performance of the content dissemination process. The content popularity is modeled by a Zipf distribution to characterize the MUs’ different interests in numerous contents. The factor of altruism (FA) terminology is introduced for quantifying the willingness of content owners to share their content. We have a tendency to model the dissemination process of a selected packet by a pure-birth-based mostly Markov chain and evaluate the statistical properties of both the network’s dissemination delay also of the individual user-delay. Compared to the standard base station (BS)-aided multicast, our scheme is capable of reducing the common dissemination delay by about 56.fivep.c. Moreover, in contrast to the BS-aided multicast, increasing the quantity of MUs within the target social group is capable of reducing the average individual user-delay by forty four.1percent hoping on our scheme. Furthermore, our scheme is more suitable for disseminating a widespread piece of content.


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