Analytical approximations for interference and SIR densities in terahertz systems with atmospheric absorption, directional antennas and blocking

Researchers face fundamental challenges applying the stochastic geometry framework to analysis of terahertz (THz) communications systems. The two major problems are the principally new propagation model that now includes exponential term responsible for molecular absorption and blocking of THz radiation by the human crowd around the receiver. These phenomena change the probability density function (pdf) of the interference from a single node such that it no longer has an analytical Laplace transform (LT) preventing characterization of the aggregated interference and signal-to-interference ratio (SIR) distributions. The expected use of highly directional antennas at both transmitter and receiver adds to this problem increasing the complexity of modeling efforts. In this paper, we consider Poisson deployment of interferers in ℜ2 and provide accurate analytical approximations for pdf of interference from a randomly chosen node for blocking and non-blocking cases. We then derive LTs of pdfs of aggregated interference and SIR. Using the Talbot's algorithm for inverse transform we provide numerical results indicating that failure to capture atmospheric absorption, blocking or antenna directivity leads to significant modeling errors. Finally, we investigate the response of SIR densities to a wide range of system parameters highlighting the specific effects of THz communications systems. The model developed in this paper can be used as a building block for performance analysis of realistic THz network deployments providing metrics such as outage and coverage probabilities. © 2017

Moltchanov D. 1, 4 , Kustarev P.2 , Koucheryavy Y. 1, 3
Elsevier B.V.
  • 1 Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland
  • 2 Department of Embedded Computing Systems, ITMO University, St.-Petersburg, Russian Federation
  • 3 School of Business Informatics, Faculty of Business and Management, National Research University Higher School of Economics, Moscow, Russian Federation
  • 4 Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
Ключевые слова
Distribution; Interference; Lambert W function; Poisson deployment; SIR; Terahertz band; Wireless networks
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