Programs
- M. Tech. in Automotive Engineering -
- B. Sc. Clinical Nutrition, Dietetics, and Food Science - Undergraduate
Publication Type : Conference Proceedings
Publisher : 2013 IEEE 8th International Conference on Industrial and Information Systems
Source : 2013 IEEE 8th International Conference on Industrial and Information Systems (2013)
Url : https://ieeexplore.ieee.org/abstract/document/6731955
Keywords : Cognitive radio, Cognitive Radio (CR), Conferences, Correlation, Covariance Absolute Value (CAV), dynamic partial reconfiguration, Dynamic Partial Reconfiguration (DPR), Energy detection (ED), Field Programmable Gate Array (FPGA), Field programmable gate arrays, licensed spectrum, noise, primary user detection, reconfigurable hybrid spectrum sensing, Sensors, Signal detection, spectrum resource utilization, two stage detection algorithm, two stage spectrum sensing, Xilinx xc5vlx110t-1ff1136 FPGA
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Verified : No
Year : 2013
Abstract : Due to massive entry of wireless services with inefficient spectrum resource utilization led to an apparent scarcity of usable radio bandwidth. Cognitive radio is well organized to utilize vacancy in the radio spectrum due to absence of primary user. Spectrum sensing i.e., detecting the presence of primary users in a licensed spectrum is the fundamental task in cognitive radio. This leads to emergence of a variety of approach to detect the presence of primary user. A two stage spectrum sensing can be used to mitigate the disadvantages of single stage detection and append the advantages of individual methods. However, the two stage detection increases the hardware and time taken to sense the spectrum. In our work, the two stage detection algorithm that was originally presented in the work of Geethu and Narayanan (2012) is efficiently implemented on Xilinx xc5vlx110t-1ff1136 FPGA using Dynamic Partial Reconfiguration (DPR) approach. The proposed architecture shows hardware improvement in terms of area and reconfiguration time over the conventional single stage detection techniques.
Cite this Research Publication : V. N. Kumar, Reddy, K. V., Geethu S., Lakshminarayanan, G., and Sellathurai, M., “Reconfigurable hybrid spectrum sensing technique for cognitive radio”, 2013 IEEE 8th International Conference on Industrial and Information Systems. 2013.