Open Access
Subscription Access
Open Access
Subscription Access
Spectrum Sensing Techniques for Cognitive Radio Application:A Review
Subscribe/Renew Journal
In the advanced technology, nearly 70 to 80% of the radio spectrum remains UN utilized, while at the same time the other region of the spectrum is overcrowded, so we are approaching the cognitive radio network. The ultimate need for this new approach is to sense the unused spectrum, by avoiding any interference with the primary or licensed user and allocate them to the secondary users, thus by improving effective Spectrum utilization. Spectrum sensing is a key function of Cognitive radio networks. An important achievement of the Cognitive radio network is to utilize the unused spectrum. Detecting the primary users is the most efficient way by detecting the empty spectrum. The various spectrum sensing techniques includes Energy detector, Matched filter, Cyclostationary feature detection. The spectrum sensing depends on the sensing time and the fusion scheme for its performance. In this paper, the different techniques are going to be compared.
Keywords
Cognitive Radio, Cooperative Spectrum Sensing, Energy Detection, Matched Filter, Cyclo Stationary Feature Detection.
Subscription
Login to verify subscription
User
Font Size
Information
- Yan Zhang s Jun Zheng s Hsiao-Hwa Chen. Cognitive radio networks Architectures. Protocols and Standards. CRC Press
- Roopali Garg, Dr. Nitin Saluja. Current Trends and Research Challenges in Spectrum Sensing for Cognitive Radios. (IJACSA) International Journal of Advanced Computer Science and Applications.2016
- Simon Haykin, David J. Thomson, Jeffrey H. Reed. Spectrum Sensing for Cognitive Radio. Proceedings of the IEEE.2009; 97(5) .pp. 849-877.
- Hang Su, Xi Zhang. Energy-Efficient Spectrum Sensing for Cognitive Radio Networks. IEEE ICC. 2010;
- P. K. Verma, R. L. Dua. Performance analysis of Energy Detection Matched Filter Detection Techniques. IJCER. 2(5) 2012;
- S. Atapattu, C. Tellambura and H. Jiang. Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks. IEEE Transaction Wireless Communications. 2011; 10(4)
- R. GaneshBabu, Dr. V. Amudha. Spectrum Sensing Cluster Techniques in Cognitive Radio Networks. 2016 International Conference on Computational Science.
- Sajjad Ahmad Ghauri, I M Qureshi, M. Farhan Sohail, SherazAlam, M. Anas Ashraf. Spectrum sensing for cognitive radio networks over fading channels. International Journal of Computer and Electronics Research. 2013; 2(1)
- Aparna P. S. and M. Jayasheela. Cyclostationary Feature Detection in Cognitive Radio for Ultra-Wideband Communication Using Cooperative Spectrum Sensing. International Journal of Future Compute and Communication. 2013; 2(6).
- Bodepudi Mounika, Kolli Ravi Chandra, Rayala Ravi Kumar. Spectrum Sensing Techniques and Issues in Cognitive Radio. International Journal of Engineering Trends and Technology (IJETT). 2013;4(4)
- M. Subhedar and G. Birajdar. Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey. International Journal of Next-Generation Networks. 2011;3(2)
- Anita Garhwal and Partha Pratim Bhattacharya. A survey on spectrum sensing techniques in cognitive radio. International Journal of Computer Science Communication Networks. 1(2)
- Tevfik Yucek and Huseyin Arslan. A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications. IEEE communications surveys and tutorials. 2009;11(1)
- V. Stoianovici, V. Popescu, M. Murroni. A survey on spectrum sensing techniques for cognitive radio. Bulletin of the Transilvania University of Brasov. 15 (50) 2008;
Abstract Views: 191
PDF Views: 0