Accurate Stochastic Geometry Modeling and Analysis of mmWave Cellular Networks

Wei Lu (1) , Marco Di Renzo (1)

1 L2S - Laboratoire des signaux et systèmes

By relying on a stochastic geometry abstraction modeling for the locations of the base stations and by considering an accurate channel model based on measurements, the author of [1] has recently proposed a tractable mathematical framework for evaluating coverage and rate of millimeter wave cellular networks. The approach proposed in [1] however, relies on a noise-limited approximation for millimeter wave cellular networks operation, which may not hold for all transmission parameters, especially for sub-gigahertz transmission bandwidths and for ultra-dense network deployments. In the present paper, the mathematical framework introduced in \cite{MDR_mmWave} is generalized by proposing an approach that accounts for the other-cell interference and, thus, is applicable to any system setups. The accuracy of the proposed approach is validated with the aid of Monte Carlo simulations and a good accuracy is obtained, even for very dense cellular network deployments.

Domains: Signal and Image processing; Networking and Internet Architecture [cs.NI]

Wei Lu, Marco Di Renzo. Accurate Stochastic Geometry Modeling and Analysis of mmWave Cellular Networks. 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), Oct 2015, Montréal, Canada. pp.1-5, ⟨10.1109/icuwb.2015.7324419⟩. ⟨hal-01269598⟩