The Connectivity of Millimeter-Wave Networks in Urban Environments Modeled Using Random Lattices
Kaifeng Han, Kaibin Huang, Ying Cui, Yueping Wu

TL;DR
This paper investigates how urban buildings affect millimeter-wave network connectivity, deriving mathematical bounds and relations to guide practical deployment in city environments using stochastic geometry and lattice models.
Contribution
It introduces a novel analytical framework combining random lattice and stochastic geometry to quantify mmWave connectivity in urban areas, including bounds and asymptotic behavior.
Findings
Derived lower bounds on connectivity probability based on building and BS parameters.
Established asymptotic connectivity probability for dense urban environments.
Extended analysis to heterogeneous network scenarios.
Abstract
Millimeter-wave (mmWave) communication opens up tens of giga-hertz (GHz) spectrum in the mmWave band for use by next-generation wireless systems, thereby solving the problem of spectrum scarcity. Maintaining connectivity stands out to be a key design challenge for mmWave networks deployed in urban regions due to the blockage effect characterizing mmWave propagation. Specifically, mmWave signals can be blocked by buildings and other large urban objects. In this paper, we set out to investigate the blockage effect on the connectivity of mmWave networks in a Manhattan-type urban region modeled using a random regular lattice while base stations (BSs) are Poisson distributed in the plane. In particular, we analyze the connectivity probability that a typical user is within the transmission range of a BS and connected by a line-of-sight. Using random lattice and stochastic geometry theories,…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Indoor and Outdoor Localization Technologies
