A Dynamic Scheduling Scheme for Deadline Constrained Content Distribution in D2D Cellular Network

Abstract

This paper studies the distribution of deadlineconstrained contents over a wireless cellular network. Affected by the channel condition between base station and users, some users could not directly receive the content from base station. Fortunately, D2D (Device to Device) multicast communication allows the users who obtained the content to further multicast it to other users. In this paper, we focus on the propagation of contents in overlay D2D cellular network. For the deadlineconstrained contents, considering the queuing time waiting in the buffer before transmission, how to properly schedule them to maximize the system capacity is crucial. We formulate the scheduling problem with the objective of optimizing the throughput of the system and solve it using the Markov Decision Process (MDP) theory. Extensive simulation results are provided to demonstrate that our scheduling algorithm can efficiently improve the throughput of system.