System Level Performance Analysis Using Semi-Analytical Framework for Area-Averaged SINR Distribution for OFDMA Cellular Systems

Cellular network planning, which includes coverage planning and network dimensioning is essential for designing and deploying mobile networks. The Key Performance Indicators (KPI)s, such as average Cell Spectral Efficiency (CSE), user throughput, etc., are used to evaluate the design of cellular systems. These metrics are primarily dependent on area-averaged Signal-to-Interference-plus-Noise- Ratio (SINR) distribution of the users of the cell. In this work, we have developed a general semi-analytical framework for area-averaged SINR distribution and evaluated system level KPIs such as average CSE for Orthogonal Frequency Division Multiple Access (OFDMA)-Frequency Division Duplex (FDD) system based single frequency network. In our model, we consider International Telecommunication Union-Radiocommunication (ITU-R) specified channel path-loss models for Non-Line- of-Sight (NLoS) and Line-of-Sight (LoS) scenarios, directional antennas for base stations (BSs) with ITU-R specified antenna gains, shadowing correlation between desired and interfering signals, Nakagami-$\shapeparam$ fading channels to characterize NLoS and LoS conditions and, Bernoulli random variables to represent load conditions of interfering BSs, to model area- averaged SINR distribution. We have demonstrated that our model is in close agreement with Monte- Carlo simulations. Using our model, the average CSE is evaluated for different channel conditions and verified with simulations.