Energy and Spatial Spectral Efficiency Analysis of Random MIMO Cellular Networks

In this work, we investigate the performance of Multiple-Input Multiple-Output (MIMO) systems in Random Cellular Networks in terms of Spatial Spectral Efficiency (SSE) and Energy Efficiency (EE). In this model, M-antenna Base Stations (BS) are randomly distributed in R(exp 2) based on a Poisson Point Process (PPP). Each BS forms a cell in this Poisson-Voronoi Tessellation (PVT) random cellular network and serves K single-antenna Mobile Stations (MS). Firstly, we provide expressions for the coverage probability and the ergodic capacity using stochastic geometry techniques. Then, a Markov Chain (MC) model is considered to derive the blocking probability, SSE and EE. Simulation results reveal that a random network with multi-antenna nodes is more susceptible to interference than to noise. Although a higher path-loss exponent degrades the coverage probability in a noisy network, it results in better coverage probability in a noise-free scenario. Besides, our results show a higher SSE and EE of MIMO compared to Single-Input Single-Output (SISO), while an equal sum power constraint is considered at the BSs.