Hyppää sisältöön
    • Suomeksi
    • In English
Trepo
  • Suomeksi
  • In English
  • Kirjaudu
Näytä viite 
  •   Etusivu
  • Trepo
  • Opinnäytteet - ylempi korkeakoulututkinto
  • Näytä viite
  •   Etusivu
  • Trepo
  • Opinnäytteet - ylempi korkeakoulututkinto
  • Näytä viite
JavaScript is disabled for your browser. Some features of this site may not work without it.

SINR and Channel Capacity in Terahertz Networks

Nie, Xiao (2016)

 
Avaa tiedosto
nie.pdf (2.503Mt)
Lataukset: 



Nie, Xiao
2016

Master's Degree Programme in Information Technology
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Hyväksymispäivämäärä
2016-06-08
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201605264143
Tiivistelmä
Terahertz technology is a new technology in communication networks compared with traditional network technology. Because of the limitations of generators and detectors for terahertz waves, the research on this bandwidth was quite limited. Considering the promising future of terahertz networks, it is necessary to research in this bandwidth. As the channel capacity is a crucial factor in estimating a network, relevant channel capacity of a given terahertz band will be calculated.
In this thesis, history of terahertz technology and the different applications of different frequencies in terahertz bandwidth are explained. In channel capacity calculation, important concepts SNR and SINR which are the key factors affecting channel capacity will be illustrated. Simulation model of the thesis which is based on Poisson Point Process is explained. Subsequently SINR and channel capacity of current environment will be calculated. By analyzing the results, the relevance of distance affection is deployed. Depending on the received results of SINR and channel capacity of a single node, CDF curves of both parameters will be plotted. Finally, the advantages and disadvantages of this thesis will be explained. The existing work of the thesis will explain what still need to be improved and researched in the future.
Kokoelmat
  • Opinnäytteet - ylempi korkeakoulututkinto [42260]
Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste
 

 

Selaa kokoelmaa

TekijätNimekkeetTiedekunta (2019 -)Tiedekunta (- 2018)Tutkinto-ohjelmat ja opintosuunnatAvainsanatJulkaisuajatKokoelmat

Omat tiedot

Kirjaudu sisäänRekisteröidy
Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste