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Performance Analysis of Dense SCNs with Generalized Shadowing/Fading and NLOS/LOS Transmissions

Research paper by Bin Yang, Guoqiang Mao, Ming Ding, Xiaohu Ge, Xiaofeng Tao

Indexed on: 05 Jan '17Published on: 05 Jan '17Published in: arXiv - Computer Science - Networking and Internet Architecture



Abstract

In this paper, we propose a unified framework to analyze the performance of dense small cell networks (SCNs) in terms of the coverage probability and the area spectral efficiency (ASE). A practical path loss model incorporating both non-line-of-sight (NLOS) and line-of-sight (LOS) transmissions has been considered in our analysis. Moreover, we adopt a generalized shadowing/fading model, in which log-normal shadowing and/or Rayleigh fading can be treated in a unified framework. The coverage probability and the ASE are derived, using a generalized stochastic geometry analysis based on a transformed Poisson point process (PPP). Using the analysis, we show for the first time that depending on the intensity of the BSs, the performance of the SCNs can be divided into four different regimes, i.e., the noise-limited regime, the signal NLOS-to-LOS-transition regime, the interference NLOS-to-LOS-transition regime and the dense interference-limited regime, where in each regime the performance is dominated by different factors. The analysis helps to understand as the intensity of the BSs grows continually, which dominant factor that determines the cellular network performance and therefore provide guidance on the design and management of the cellular networks as we evolve into dense SCNs.