University of Oulu

J. Kokkoniemi, J. M. Jornet and M. Juntti, "Stochastic Geometry Framework for THz Satellite-Airplane Network Analysis," 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2021, pp. 67-72, doi: 10.1109/DySPAN53946.2021.9677325

Stochastic geometry framework for THz satellite-airplane network analysis

Saved in:
Author: Kokkoniemi, Joonas1; Jornet, Josep M.2; Juntti, Markku1
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland
2Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022031523568
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2022-03-15
Description:

Abstract

The THz frequencies (0.1–10 THz) have shown great potential for long distance satellite communications in the recent research papers. This band offers superior bandwidths compared to those enabled by the lower frequencies, with relaxed pointing requirements compared to optical systems, making the the THz band very appealing for providing backhaul connectivity on vast numbers of airplanes. At the same time, the path losses are very high and extremely directional antennas are required to operate on the links exceeding thousands of kilometers in the satellite applications. This paper derives a framework for stochastic geometry based estimation of average signal levels in THz satellite networks. Specific focus herein is on the airplane-satellite links. The produced stochastic models are shown to be exact with a simulation model. The analysis shows that while the average path losses are very high, there are antenna solutions that can overcome the losses and give respectable signal-to-noise ratios. The derived models are very useful in satellite network analysis, as well as in the link budget calculations for future high frequency satellite systems.

see all

ISBN: 978-1-6654-1339-8
ISBN Print: 978-1-6654-1340-4
Pages: 67 - 72
DOI: 10.1109/DySPAN53946.2021.9677325
OADOI: https://oadoi.org/10.1109/DySPAN53946.2021.9677325
Host publication: 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
Conference: IEEE International Symposium on Dynamic Spectrum Access Networks
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported by the Horizon 2020, European Union’s Framework Programme for Research and Innovation, under grant agreement no. 871464 (ARIADNE). It was also supported in part by the Academy of Finland 6Genesis Flagship under grant no. 318927. This work was also supported in part by the US Air Force Research Laboratory Grant FA8750-20-1-0200 and the US National Science Foundation Grants CNS-2011411.
EU Grant Number: (871464) ARIADNE - Artificial Intelligence Aided D-band Network for 5G Long Term Evolution
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.