Multimedia content diffusion approach for emerging 5G mobile social networks

In the emerging Fifth Generation (5G) systems mobile social networks will play an important role for disseminating information and multimedia contents. In such a scenario, short range transmissions and multicast services are considered as promising technologies in order to disseminate contents as fast as possible. This paper proposes a viral information diffusion approach for improving the information diffusion time among a large number of users. A novel expected information diffusion time is considered by taking into account system metrics on both network and social side. In particular, we defined a new metric named social network contact time which describes the social interaction time between a generic user and the social platform. We compared the proposed approach with conventional multicast scheme and social information diffusion approach based on distance. Results show that the proposed viral algorithm achieves considerable gains in term of information diffusion time and data rate per UE. In particular, the gain experienced by the users in term of content dissemination varies between the 14% and 48%