A Spatial-Spectral Interference Model for Dense Finite-Area 5G mmWave Networks
Solmaz Niknam, Balasubramaniam Natarajan, Reza Barazideh

TL;DR
This paper develops a comprehensive spatial-spectral interference model for dense 5G mmWave networks, accounting for blockage effects and configuration uncertainties, to better predict network performance metrics like BER and outage probability.
Contribution
It introduces a novel blockage model and derives a spatial-spectral interference model specific to dense 5G mmWave networks, incorporating both spatial and spectral randomness.
Findings
Interference profiles significantly differ when considering mmWave-specific effects.
The model accurately predicts BER and outage probability through Monte-Carlo validation.
Randomness in node configuration impacts network performance metrics.
Abstract
With the overcrowded sub-6 GHz bands, millimeter wave (mmWave) bands offer a promising alternative for the next generation wireless standard, i.e., 5G. However, the susceptibility of mmWave signals to severe pathloss and shadowing requires the use of highly directional antennas to overcome such adverse characteristics. Building a network with directional beams changes the interference behavior, since, narrow beams are vulnerable to blockages. Such sensitivity to blockages causes uncertainty in the active interfering node locations. Configuration uncertainty may also manifest in the spectral domain while applying dynamic channel and frequency assignment to support 5G applications. In this paper, we first propose a blockage model considering mmWave specifications. Subsequently, using the proposed blockage model, we derive a spatial-spectral interference model for dense finite-area 5G…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Microwave Engineering and Waveguides
