Intelligent cognitive radio spectrum sensing based on energy detection for advanced waveforms




Spectrum sensing, Energy detector, 5G, Multi-carrier waveform


In this paper, we simulate and design an Energy Detection (ED) spectrum sensing technique for the Universal Filtered Multi Carrier (UFMC) system. Further, the design and analysis of the proposed and Orthogonal Frequency Division Multiplexing (OFDM) systems using Cyclic Prefix (CP) and without CP is taken out in terms of accurate detection, false detection, peak power, Bit Error Rate (BER), Power Spectrum Density (PSD). We can see, that the ED performance is better for the UFMC structure compared to the OFDM system.

Author Biography

Arun Kumar, JECRC University, Jaipur

Electronics and Communication


H. Lv, P. Li, Q. Yan, H. Zhang, “Energy-efficient multi-cell resource allocation in cognitive radio-enabled 5G systems,” EURASIP J. Adv. Signal Process., vol. 2019, no. 1, p. 4, 2019, doi:

V. Kumar, M. Mukherjee, J. Lloret, “Reconfigurable architecture of UFMC transmitter for 5G and its FPGA prototype,” IEEE Syst. J., vol. 14, no. 1, pp. 28–38, 2020, doi:

Z. Guo, Q. Liu, W. Zhang, S. Wang, “Low complexity implementation of universal filtered multi-carrier transmitter,” IEEE Access, vol. 8, pp. 24799–24807, 2020, doi:

L. Chen, J. G. Yu, “Interference cancelation scheme with variable bandwidth allocation for universal filtered multicarrier systems in 5G networks,” EURASIP J. Wirel. Commun. Netw., vol. 2018, no. 1, p. 1, 2018, doi:

V. Vakilian, T. Wild, F. Schaich, S. ten Brink, J.-F. Frigon, “Universal-filtered multi-carrier technique for wireless systems beyond LTE,” in 2013 IEEE Globecom Workshops (GC Wkshps), 2013, pp. 223–228, doi:

H. Wang, Z. Zhang, Y. Zhang, C. Wang, “Universal filtered multi-carrier transmission with active interference cancellation,” in 2015 International Conference on Wireless Communications & Signal Processing (WCSP), 2015, pp. 1–6, doi:

M. Zhang et al., “Overlapped universal filtered multicarrier system for uplink wireless communication,” Int. J. Commun. Syst., vol. 33, no. 1, p. e4148, 2020, doi:

K. K. Kishore, P. R. Umar, V. J. Naveen, “Comprehensive analysis of UFMC with OFDM and FBMC,” Indian J. Sci. Technol., vol. 10, no. 17, pp. 1–7, 2017, doi:

S. Gokceli, B. Canli, G. K. Kurt, “Universal filtered multicarrier systems: Testbed deployment of a 5G waveform candidate,” in 2016 IEEE 37th Sarnoff Symposium, 2016, pp. 94–99, doi:

P. Praneeth Kumar, K. Krishna Kishore, “BER and PAPR analysis of UFMC for 5G communications,” Indian J. Sci. Technol., vol. 9, no. S1, 2016, doi:

J. Zhang, Y. Chen, Y. Liu, H. Wu, “Spectrum knowledge and real-time observing enabled smart spectrum management,” IEEE Access, vol. 8, pp. 44153–44162, 2020, doi:

G. Rathee, N. Jaglan, S. Garg, B. J. Choi, K.-K. R. Choo, “A secure spectrum handoff mechanism in cognitive radio networks,” IEEE Trans. Cogn. Commun. Netw., vol. 6, no. 3, pp. 959–969, 2020, doi:

S. Nandakumar et al., “Efficient spectrum management techniques for cognitive radio networks for proximity service,” IEEE Access, vol. 7, pp. 43795–43805, 2019, doi:

Annu, Gaganpreet, “Design and analysis of 5th order Chebyshev low pass filter,” Int. J. Eng. Sci. Res. Technol., vol. 3, no. 7, pp. 1–4, 2014, uri:






Research Articles