Analyzing the role of spectrum sensing for security enhancement in beyond 5G waveforms using energy detection
Arun Kumardr.arunk.nhce@newhorizonindia.eduDepartment of Electronics and Communication EngineeringNew Horizon College of EngineeringBengaluru, Karnataka, IndiaView full profile → , Nishant Gaurnishant.gaur@jecrcu.edu.inDepartment of PhysicsJECRC UniversityRajasthan, IndiaView full profile → , S. N. Chaitrachaitrasn48@gmail.comDepartment of Electronics & Communication EngineeringGM Institute of TechnologyDavanagere, Karnataka, IndiaView full profile → , Sumit Chakravartyschakra2@kennesaw.eduDepartment of Electrical EngineeringKennesaw State UniversityKennesaw, Georgia, United StatesView full profile → , *Aziz NanthaamornphongCorresponding authoraziz.n@phuket.psu.ac.thCollege of ComputingPrince of Songkla UniversityPhuket, ThailandView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 06 Apr 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-1875
- Pages:
- 215–222
Abstract
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References
[1] R. R. Jaglan, S. Sarowa, R. Mustafa, S. Agrawal, and N. Kumar, Comparative Study of Single-user Spectrum Sensing Techniques in Cognitive Radio Networks, Procedia Computer Science, vol. 58, pp. 121–128 (2015), doi: 10.1016/j.procs.2015.08.039.
[2] K. kockaya and I. Develi, Spectrum sensing in cognitive radio networks: threshold optimization and analysis, EURASIP Journal on Wireless Communications and Networking, vol. 2020, no. 1 (2020), doi: 10.1186/s13638-020-01870-7.
[3] W. Yue and B. Zheng,Spectrum sensing algorithms for primary detection based on reliability in cognitive radio systems, Computers & Electrical Engineering, vol. 36, no. 3, pp. 469–479 (2010), doi: 10.1016/j.compeleceng.2009.12.001.
[4] Mitola, J., & Maguire, G., ognitive radio: making software radios more personal, IEEE Personal Communications, 6(4), 13–18 (1999), https://doi.org/10.1109/98.788210.
[5] Sharma, S.K., Kumar, A., Digital Image Transformation Using Outer Totality Cellular Automata. Machine Intelligence Techniques for Data Analysis and Signal Processing. Lecture Notes in Electrical Engineering, vol 997 (2023). Springer, Singapore. https://doi.org/10.1007/978-981-99-0085-5_69.
[6] N. Li, Y. Gao, K. Xu, “On the optimal energy efficiency and spectral efficiency trade-off of CF massive MIMO SWIPT system, Journal of Wireless Communication Network, pp. 167 (2021).
[7] M.A. Albreem, A. Kumar, M.H. Alsharif, I. Khan and B.J. Choi, “Comparative Analysis of Data Detection Techniques for 5G Massive MIMO Systems”, Sustainability, vol. 12, no. 21, pp. 9281 (2020).
[8] Choudhary, Sakshi, Kumar, Arun, Sharma, Mohit Kumar & Masud, Mehedi. A mathematical investigation of multi-carrier waveform with AI based matched filter detection, Journal of Interdisciplinary Mathematics, 26:3, 321-328 (2023), DOI: 10.47974/JIM-1663.
[9] Shah, Paritosh Kumar, Kumar, Arun & Masud, Mehedi. A mathematical optimization of the lifetime of the wireless sensor network using ML- based energy dependent clustering and tiered routing algorithm, Journal of Interdisciplinary Mathematics, 26:3, 351-359 (2023), DOI: 10.47974/JIM-1666.




