4.7 Article

Coverage Modeling and Analysis for Outdoor THz Networks With Blockage and Molecular Absorption

Journal

IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 10, Issue 5, Pages 1028-1031

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2021.3056525

Keywords

Absorption; Interference; Atmospheric modeling; Stochastic processes; Signal to noise ratio; Analytical models; Numerical models; Terahertz communication; stochastic geometry; coverage probability; blocking; molecular absorption%

Funding

  1. National Key Research and Development Program of China [2018YFB1801500]

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THz communication is envisioned as a key technology for ultra-wide bandwidth and high-speed data transmission in future networks, but faces challenges such as frequency-dependent path-loss, molecular absorption, and line-of-sight blockage. This study develops an analytical model for coverage probability analysis in outdoor THz networks based on stochastic geometry, revealing the impact of node density, transmission distance, and atmosphere on network coverage and available transmission bandwidth. Results show that denser nodes, longer transmission distance, lower latitude, and more humid seasons lead to lower coverage probability and narrower transmission windows.
Terahertz (THz) communication has been envisioned as a key technology for providing ultra-wide bandwidth and high-speed data transmission in future networks. However, THz band signal suffers from frequency-dependent path-loss, molecular absorption and line-of-sight (LoS) blockage. Thus, coverage modelling for THz networks has essential difference from low-band networks. In this letter, considering blockage, directional antennas and molecular absorption, we develop an analytical model for coverage probability analysis in outdoor THz networks based on stochastic geometry. Accuracy of the proposed model is validated through Monte-Carlo simulations. Based on the proposed model, we further uncover the impact of nodes density, transmission distance and atmosphere on network coverage and available transmission bandwidth. Numerical results reveal that denser nodes, longer transmission distance, lower latitude and more humid seasons result in lower coverage probability and narrower transmission windows.

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