Abstract

This paper aims to explore the impact of user behavior on information diffusion in D2D (Device-to-Device) communications. A discrete dynamical model, which combines network metrics and user behaviors, including social relationship, user influence, and interest, is proposed and analyzed. Specifically, combined with social tie and user interest, the success rate of data dissemination between D2D users is described, and the interaction factor, user influence, and stability factor are also defined. Furthermore, the state transition process of user is depicted by a discrete-time Markov chain, and global stability analysis of the proposed model is also performed. Finally, some experiments are examined to illustrate the main results and effectiveness of the proposed model.

Highlights

  • The fast development of communication technologies, enhanced devices, and multimedia services will lead to a drastic change in the way of perceiving and interacting with the world around us [1]

  • This paper aims to explore the impact of user behavior on information diffusion in D2D (Device-to-Device) communications

  • The Long Term Evolution (LTE) radio technology is adopted as a lifeline for reality scenarios

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Summary

Introduction

The fast development of communication technologies, enhanced devices, and multimedia services will lead to a drastic change in the way of perceiving and interacting with the world around us [1]. The emerging 5G systems would transform current reality into a “connected reality”, in which objects and people are interconnected in a unified whole [2]. To realize this vision, the Long Term Evolution (LTE) radio technology is adopted as a lifeline for reality scenarios. Future 5G systems require novel approaches in terms of network design and information dissemination and should provide low latencies and timely connectivity in case of information sharing such as disasters, concerts, and other timely situations [3]. The direct communication between two adjacent user devices is regarded as a promising technology in future 5G systems, which has advantages of coverage extension, high spectrum utilization, and low energy consumption [6, 7]

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