Abstract
Wireless communication technology is the main reason for the advancement to mobile users. So each user demands for a separate frequency spectrum. But there is a limited frequency spectrum band. Hence there is need of an efficient communication system which first evaluates the need of frequency and then provides the frequency band to that user smartly. Cognitive Radio (CR) Technology is based on software defined radios (Mitola in Cognitive radio—an integrated agent architecture for software defined radio (Ph.D. Dissertation). KTH Royal Institute of Technology, Kista, 2000). When the frequency spectrum is used by the authorized primary user (PU), then cognitive radio provide the remaining available bandwidth to the secondary user (SU) which has very less interference with primary user. The main work of cognitive radio is to check the spectrum and find the available free channels for secondary users without affecting the primary user’s work. Universal Filtered Multicarrier (UFMC) technique gives better performance over other multicarrier techniques in term of PAPR. The work presented here is unique and novel in the sense that we have tried to incorporate the UFMC technique simultaneously in comparison with applied GFDM multicarrier modulation technique in the same wireless scenario for highlighting the contrast in the study presented here. The probable limitations of the proposed solutions after carrying out rigorous simulation testing on Matlab version 2018a have also been discussed.
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Acknowledgements
The authors are thankful to Research Promotion Cell, Panjab University Chandigarh for providing resources and all help to the young researchers working in the domain of communication signal processing. The first author is thankful to Dr. A. S. Kang for holding the valuable discussions on the topic under consideration. The help rendered by Mr. Vishal Sharma is also duly acknowledged herewith.
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Gupta, M., Kang, A.S. & Sharma, V. Comparative performance analysis of GFDM and UFMC under different window constraints for next generation cognitive radio communication. Int. j. inf. tecnol. 14, 751–760 (2022). https://doi.org/10.1007/s41870-020-00467-z
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DOI: https://doi.org/10.1007/s41870-020-00467-z