Energy and Spatial Spectral Efficiency Analysis of Random MIMO Cellular Networks
Conference: European Wireless 2016 - 22th European Wireless Conference
05/18/2016 - 05/20/2016 at Oulu, Finnland
Proceedings: European Wireless 2016
Pages: 6Language: englishTyp: PDF
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Authors:
Khamesi, Atieh R.; Zorzi, Michele (Dept. of Information Engineering, University of Padova, Italy)
Yang, Bin; Ge, Xiaohu (School of Electronic Information and Communications, Huazhong University of Science & Technology, Wuhan, China)
Abstract:
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 R2 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.