Blocking Probability Analysis for Relay-Assisted OFDMA Networks using Stochastic Geometry

Abstract

Along with the emerging high density Internet of Things (IoT) networks, relay-assisted networks are attracting more research attention in recent years due to their abilities to extend the coverage area and improve the Quality of Service (QoS). Blocking probability (BP) has been used as a very important metric in evaluating the QoS of the network. In this paper, taking the spatial randomness of the IoT network into consideration, we investigate blocking probability in relay-assisted OFDMA networks using stochastic geometry. More specifically, first, we analyze the inter-cell interference from the neighboring cells at each typical node. Then, we derive the coverage probability in the downlink transmissions, including both the direct and relay-based transmissions. Finally, we classify the incoming users into different classes based on their data rate requirements, and calculate the blocking probability using the multi-dimensional loss model based on the Markov chains. We show that the blocking probability can be reduced by exploiting relay-assisted transmissions.