Analysis of Blocking Probability in a Relay-based Cellular OFDMA Network

TL;DR

This paper develops a novel method to compute blocking probability in relay-based OFDMA cellular networks by classifying users based on their resource needs derived from SIR, using multi-dimensional Erlang formulas.

Contribution

It introduces a new analytical approach to evaluate blocking probability in relay-assisted OFDMA networks considering user class differentiation based on SIR.

Findings

Derived user resource requirement distribution based on SIR

Classified users into different subcarrier requirement classes

Evaluated blocking probability using multi-dimensional Erlang loss formulas

Abstract

Relay deployment in Orthogonal Frequency Division Multiple Access (OFDMA) based cellular networks helps in coverage extension and or capacity improvement. In OFDMA system, each user requires different number of subcarriers to meet its rate requirement. This resource requirement depends on the Signal to Interference Ratio (SIR) experienced by a user. Traditional methods to compute blocking probability cannot be used in relay based cellular OFDMA networks. In this paper, we present an approach to compute the blocking probability of such networks. We determine an expression of the probability distribution of the users resource requirement based on its experienced SIR and then classify the users into various classes depending upon their subcarrier requirement. We consider the system to be a multidimensional system with different classes and evaluate the blocking probability of system using the multi-dimensional Erlang loss formulas.