Coverage and Rate Analysis for Millimeter-Wave Cellular Networks


Millimeter wave (mmWave) holds promise as a carrier frequency for fifth generation cellular networks. As a result of mmWave signals are sensitive to blockage, previous models for cellular networks operated within the ultra high frequency (UHF) band do not apply to research mmWave cellular networks directly. Leveraging concepts from stochastic geometry, this paper proposes a general framework to evaluate the coverage and rate performance in mmWave cellular networks. Using a distance-dependent line-of-site (LOS) probability function, the locations of the LOS and non-LOS base stations are modeled as two independent non-homogeneous Poisson point processes, to which different path loss laws are applied. Based mostly on the proposed framework, expressions for the signal-to-noise-and-interference ratio (SINR) and rate coverage chance are derived. The mmWave coverage and rate performance are examined as a perform of the antenna geometry and base station density. The case of dense networks is additional analyzed by applying a simplified system model, in which the LOS region of a user is approximated as a fastened LOS ball. The results show that dense mmWave networks will achieve comparable coverage and much higher knowledge rates than conventional UHF cellular systems, despite the presence of blockages. The results suggest that the cell size to attain the optimal SINR scales with the typical size of the realm that's LOS to a user.

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