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Path Loss Analysis of Terahertz Communication in Mars' Atmospheric Conditions

  • Lasantha T. Wedage
  • , Bernard Butler
  • , Sasitharan Balasubramaniam
  • , Mehmet C. Vuran
  • , Yevgeni Koucheryavy

Tutkimustuotos: KonferenssiartikkeliTieteellinenvertaisarvioitu

17 Sitaatiot (Scopus)
45 Lataukset (Pure)

Abstrakti

There has been much focus on the potential for wireless links that use THz frequencies. Despite their theoretical advantages, the very high channel path loss here on Earth presents practical challenges. This paper compares the path loss performance of THz links in atmospheric gas compositions and environmental conditions on Mars and Earth. Simulations using data from the Mars Climate Database and HITRAN indicate that conditions on Mars ensure that path loss between surface-based transceivers is reduced compared to Earth. Greater effective transmission distances for THz can be achieved on Mars: at frequencies of 1.67 THz and 1.64 THz, the transmission distance is 60-70 times longer than Earth. However, severe dust storms that are common on Mars can increase path loss, so the maximum transmission distance reduces by 1-2 orders of magnitude during such storms. Some of this additional path loss can be reduced by raising antennas higher above the ground and by configuring antennas to suit different usage scenarios.

AlkuperäiskieliEnglanti
Otsikko2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
KustantajaIEEE
Sivut1225-1230
Sivumäärä6
ISBN (elektroninen)9781665426718
ISBN (painettu)9781665426725
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Communications Workshops - Seoul, Etelä-Korea
Kesto: 16 toukok. 202220 toukok. 2022

Julkaisusarja

NimiIEEE International Conference on Communications Workshops
ISSN (painettu)2164-7038
ISSN (elektroninen)2694-2941

Conference

ConferenceIEEE International Conference on Communications Workshops
Maa/AlueEtelä-Korea
KaupunkiSeoul
Ajanjakso16/05/2220/05/22

Rahoitus

ACKNOWLEDGMENT This publication came from research conducted with the financial support of Science Foundation Ireland (SFI) and the Department of Agriculture, Food and Marine on behalf of the Government of Ireland (Grant Number [16/RC/3835] -VistaMilk), the support of YL Verkot, Finland, and US National Science Foundation (NSF) ECCS-2030272 grant.

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

  1. SDG 13 – Ilmastotoimet
    SDG 13 – Ilmastotoimet

Julkaisufoorumi-taso

  • Jufo-taso 0

!!ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Control and Optimization

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