Performance Prediction Model for Interference-limited Dynamic OFDMA Systems

Abstract

This paper presents a performance model for dynamic resource allocation in interference-limited OFDMA-based cellular networks. Specifically, we derive an analytical framework by which it is possible to estimate the VoIP capacity of the cell per downlink frame, purely based on the average SINR per terminal. Hence, this framework can be used for admission control. The major difficulty to overcome is to predict the impact of dynamic resource allocations on the system performance in the presence of multiple interfering cells. We show that dynamic resource allocations transform the distribution of subcarrier SINR and derive an approximate, closed-form representation of these transformed distributions. Based on these derivations, we obtain rate probability mass functions per terminal which predict system performance up to a gap of about 26 % compared to optimal system performance.