Optimization Technique for Cognitive Radio Network: A Panoramic Survey
G. Kalaimagal1, M. S. Vasanthi2
1G. Kalaimagal, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai (Tamil Nadu), India.
2M. S. Vasanthi, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai (Tamil Nadu), India.
Manuscript received on 02 April 2019 | Revised Manuscript received on 18 April 2019 | Manuscript Published on 30 April 2019 | PP: 28-33 | Volume-7 Issue-6S6 April 2019 | Retrieval Number: F10080476S619/2019©BEIESP | DOI: 10.35940/ijrte.F1008.0476S619
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© 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: Cognitive radio technology is a developing technology for upcoming radio communication systems such as Machine to Machine, IoT and Energy conservation system. In this survey paper we have summarized the studies of sensing techniques which maximizes the probability of detection of the presence of primary user (licensed) and minimizes the probability of false alarm. Therefore, the performance of spectrum sensing is measured by the probability of detection and the probability of false alarm. To save energy, higher probability of detection is performed to avoid collision to licensed users. We extend a study of optimization strategies which enhances energy conservation per bit, with objective of reducing the total error in cognitive radio sensor network. Then we provide explored survey that comprises of Multi-objective optimization algorithms for sensing duration to enhance the throughput of the network. Furthermore, we have consolidated a variety of joint optimization using algorithm which are recommended for the observer to understand from the collected references. Finally, we have discussed the challenges for the CRN to be handled in future work.
Keywords: Optimization Techniques, Sensing Duration, Collision, Multi-Objective Optimization.
Scope of the Article: Cognitive Radio Networks