Spectrum sensing and energy detection in cognitive networks

Mohammed Ayad Saad, S. T. Mustafa, Mohammed Hussein Ali, M. M. Hashim, Mahamod Bin Ismail, Adnan H. Ali

Research output: Contribution to journalArticle

Abstract

It is worth mentioning that the use of wireless systems has been increased in recent years and supposed to highly increase in the few coming years because of the increasing demands of wireless applications such as mobile phones, Internet of Things (IoT), wireless sensor networks (WSNs), mobile applications and tablets. The scarcity of spectrum needs to be into consideration when designing a wireless system specially to do the two following questions; how to utilize efficiently the spectrum available for the available networks in sharing process and how to increase the throughput delivered to the serving users. The spectrum sharing between several types of wireless networks where networks are called cognitive networks is used to let networks cooperate with each other by borrowing some spectrum bands between them especially when there is an extra band that is not used. In this project, the simulation of spectrum sensing and sharing in cognitive networks is performed between two cognitive networks. This project discusses the performance of probability of energy detected (Pd) with different values of false alarm (Pf) and Signal-To-Noise Ratio (SNR) values to evaluate the performance of the sensing and sharing process in cognitive networks. The results show that when the request of sharing spectrum increased, the full sharing process occurs for a long time and the error rate decreases for small values of SNR.

Original languageEnglish
Pages (from-to)465-472
Number of pages8
JournalIndonesian Journal of Electrical Engineering and Computer Science
Volume17
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

Energy Detection
Spectrum Sensing
Signal to noise ratio
Spectrum Sharing
Sharing
Mobile phones
Wireless sensor networks
Wireless networks
Throughput
Internet of Things
Mobile Applications
False Alarm
Mobile Phone
Wireless Networks
Error Rate
Wireless Sensor Networks
Sensing
Decrease
Evaluate
Energy

Keywords

  • 5G
  • Infrastructure sharing
  • MM wave
  • Resourcesharing
  • Spectrum sharing

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Spectrum sensing and energy detection in cognitive networks. / Saad, Mohammed Ayad; Mustafa, S. T.; Ali, Mohammed Hussein; Hashim, M. M.; Ismail, Mahamod Bin; Ali, Adnan H.

In: Indonesian Journal of Electrical Engineering and Computer Science, Vol. 17, No. 1, 01.01.2019, p. 465-472.

Research output: Contribution to journalArticle

Saad, Mohammed Ayad ; Mustafa, S. T. ; Ali, Mohammed Hussein ; Hashim, M. M. ; Ismail, Mahamod Bin ; Ali, Adnan H. / Spectrum sensing and energy detection in cognitive networks. In: Indonesian Journal of Electrical Engineering and Computer Science. 2019 ; Vol. 17, No. 1. pp. 465-472.
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