Matched Filter Based Spectrum Sensing Technique for 4G Cellular Network

  • Shadab Kalhoro Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Pakistan
  • Fahim Aziz Umrani Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Pakistan
  • Mustahsan Ali Khanzada  Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Pakistan
  • Liaquat Ali Rahoo Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Pakistan

Abstract

Modern and fast developments of wireless technologies have directed to a great demand for resources. It can be seen in the study that the range of existing spectrum is not used effectively, therefore the frequency band should be observed to ensure proper usage and to have the information of primary or licensed user is very much essential. In this research work uplink of LTE (Long-Term Evolution) is observed through MF (Matched Filter) spectrum sensing technique of CR (Cognitive Radio) network. This method examines the existence of signals in minimum possible time, reduces the hindrances between secondary users, increases accurateness of sensing and provides finest choice of threshold. In Uplink the System model which is used is known as SC-FDMA (Single Carrier Frequency Division Multiple Access). Entire simulation/results are prepared in MATLAB environment. This study also provides graphical contrast of simulated and theoretical results of matched filter and energy detection technique.

Published
Oct 1, 2019
How to Cite
KALHORO, Shadab et al. Matched Filter Based Spectrum Sensing Technique for 4G Cellular Network. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 38, n. 4, p. 973-978, oct. 2019. ISSN 2413-7219. Available at: <http://publications.muet.edu.pk/index.php/muetrj/article/view/1243>. Date accessed: 20 oct. 2019.
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License