Optimum Cooperative Spectrum Sensing Technique for Multiuser Ultraviolet Wireless Communications

Arya, Sudhanshu, Chung, Yeon Ho and Ghassemlooy, Zabih (2020) Optimum Cooperative Spectrum Sensing Technique for Multiuser Ultraviolet Wireless Communications. In: 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, pp. 90-95. ISBN 9781728160511; 9781728167435

[img]
Preview
Text
Optimum Cooperative Spectrum Sensing.pdf - Accepted Version

Download (268kB) | Preview
Official URL: https://doi.org/10.1109/CSNDSP49049.2020.9249494

Abstract

In this paper, we present a novel optimum cooperative spectrum sensing technique to mitigate multiuser interference for multiuser ultraviolet wireless communications over Málaga distributed turbulence channel. We consider the distributed decision fusion for the cooperative sensing. Based on the derived Málaga distribution, a mathematically-tractable expression for the average probability of detection is presented. An optimal voting rule is derived to minimize the average error rate. To verify this optimum voting rule, we use the energy detection technique. It is found that the formulated voting rule produces one optimal value only, which indeed confirms its optimum performance.

Item Type: Book Section
Additional Information: Funding Information: ACKNOWLEDGMENT This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A3B07049858).
Uncontrolled Keywords: Probability of detection, scattering, ultraviolet communication
Subjects: G400 Computer Science
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 21 May 2021 13:45
Last Modified: 31 May 2021 14:37
URI: http://nrl.northumbria.ac.uk/id/eprint/46245

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics