SINR and Channel Capacity in Terahertz Networks
Nie, Xiao (2016)
Nie, Xiao
2016
Master's Degree Programme in Information Technology
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
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Hyväksymispäivämäärä
2016-06-08
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201605264143
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.
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.