Distributed Detection in Cognitive Radio Networks
Shweta Kumari1, Gunjan Kumari2
1Shweta Kumari, Department of Electronics and Communication Engineering, VFSTR Guntur (A.P), India.
2Gunjan Kumari, Department of Electronics and Communication Engineering, IIITDM, Chennai (Tamil Nadu), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 30 December 2019 | PP: 159-162 | Volume-9 Issue-1S5 December 2019 | Retrieval Number: A10371291S52019/19©BEIESP | DOI: 10.35940/ijeat.A1037.1291S519
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: With the increase of wireless services and devices, and the need to maintain their QoS requirements, the demand for spectral bandwidth has increased in recent years. The traditional spectrum allocation techniques have led to inefficient spectrum utilisation. In this project, we analyse a new paradigm called Dynamic Spectrum Access , using energy detection methods in case of real-valued and complex-valued signals. An energy efficient detection is also proposed in a distributed cognitive network for the case of a single SU and N PUs, where N>1. The cognitive radio network also has to pay a cost whenever a SU switches a channel. In this scenario, detection algorithms are also proposed absed on myopic approach.
Keywords: Cognitive Radio, Spectrum Sensing, Energy Detector, Distributed Detection.
Scope of the Article: Cognitive Radio Networks