Interference and Coverage Analysis in Coexisting RF and Dense TeraHertz Wireless Networks
Javad Sayehvand, Hina Tabassum

TL;DR
This paper introduces a stochastic geometry framework to analyze interference and coverage in coexisting RF and dense Terahertz networks, providing insights into network performance and association strategies.
Contribution
It develops exact and asymptotic analytical expressions for interference and coverage in coexisting RF/THz networks, considering biased association and various network configurations.
Findings
Coverage probability improves with biased association.
Asymptotic results match numerical simulations.
BRSP association outperforms RSRP in coexisting networks.
Abstract
This paper develops a stochastic geometry framework to characterize the statistics of the downlink interference and coverage probability of a typical user in a coexisting terahertz (THz) and radio frequency (RF) network. We first characterize the exact Laplace Transform (LT) of the aggregate interference and coverage probability of a user in a THz-only network. Then, for a coexisting RF/THz network, we derive the coverage probability of a typical user considering biased received signal power association (BRSP). The framework can be customized to capture the performance of a typical user in various network configurations such as THz-only, opportunistic RF/THz, and hybrid RF/THz. In addition, asymptotic approximations are presented for scenarios where the intensity of THz BSs becomes large or molecular absorption coefficient in THz approaches to zero. Numerical results demonstrate the…
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