Empirical Mode Decomposition Based Amplify and Forward Technique for Cooperative Cognitive Radio System
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Abstract
The rapid growth in the mobile industry due to increase in number of users accessing diverse services causes a high demand for radio spectrum. Nonetheless, the radio spectrum allocated for different wireless communication services is restricted. Cooperative Cognitive Radio (CCR) technique with Amplify and Forward (AF) relaying protocol used to address the problem suffers from noise amplification resulting in poor reception at the destination. Hence, in this paper, Empirical Mode Decomposition (EMD) based AF technique for CCR system was carried out to improve the performance of the existing CCR with AF relaying protocol. The transmitted signal from Primary User (PU) was received at the Secondary User (SU) where SU superimposed its own signal using Exclusive OR (XOR) rule. The combined signal from XOR was made to pass through EMD and amplified using AF by multiplying with the relay gain. The amplified signal was radiated to PU and SU receivers during the second hop transmission. The multiple copies of the receive signal at the SU receiver at different number of path (L = 2, 4) were combined at destination using Maximal Ratio Combiner (MRC). Mathematical expression for Bit Error Rate (BER) and Throughput (TP) were derived using the Probability Density Function (PDF) of the Nakagami-m fading distribution. Extensive simulations using MATLAB R2021a were employed to assess the effectiveness of the proposed technique and evaluated using BER and TP by comparing with the existing AF CCR. The EMD based AF technique proposed gave better performance with 75.2% reduction in BER and 21.86% increase in TP over the existing AF technique for CCR. The proposed technique can be deployed to improve the performance of cooperative cognitive radio system.
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References
Kevin, C. (2012). Spectrum Sensing, Detection and Optimization in Cognitive Radio for Non-Stationary Primary User Signals. Unpublished Ph.D Thesis submitted to Queensland University of Technology, Network and Communication, Faculty of Science and Engineering, 35-146.
Adeyemo, Z. K., Abolade, R.O., Oladimeji, O.B. & Ojo, S.I. (2019). Modification of multiple antenna amplify and forward relay over Nakagami fading channel, Ubiquitous Computing and Communication Journal, 1630-1638.
Ojo, S.I., Adeyemo, Z.K., Ojo, F.K., Adedeji, A.A. & Semire, F.A. (2020). Enhancement of Equal Gain Combiner for Detection of Spectrum Hole in a Cognitive Radio System, Universal Journal of Electrical and Electronic Engineering, 7(5): 289-298. DOI: https://doi.org/10.13189/ujeee.2020.070503
Henry, M.A. & Closkey, D. (2005). Spectrum occupancy measurements. Chicago, Illinois, Shared Spectrum Company, Tech. Reg, 23-28
Erpek, T., Steadman, K. & Jones, D. (2007). Spectrum Occupancy Measurements. Dubling Ireland, Shared Spectrum Company, Tech. Rep, 45-58.
Noor, S. (2017). Combine soft hard cooperative spectrum sensing in cognitive radio network, Ph.D Dissertations, submitted to University of Windsor, 1-79.
Wang, B. & Liu, K.J.R. (2011). Advances in Cognitive Radio Networks: A Survey, IEEE Journal on Signal Processing, 5(1):5-23. DOI: https://doi.org/10.1109/JSTSP.2010.2093210
Abolade, R.O; Ojo, S.I; Ojerinde, I.A; Adetunji, J.S. & Lawal, A.T. (2020). Modification of Maximal Ratio Combining Technique for Detection of Spectrum Hole in a Cognitive Radio Network. International Journal of Wireless and Microwave Technologies, 7(2): 9-21. DOI: https://doi.org/10.5815/ijwmt.2020.02.02
Bhoopendra, K., Sanjay, K. D. & Isaac, W. (2017). A survey of overlay and underlay paradigms in cognitive radio networks, International Journal of Communication System, 10(3): 1-12.
Khaled, B.I. & Wei, Z. (2009). Cooperative Communication for Cognitive Radio Networks. Proceedings, IEEE, 97(5): 878-893. DOI: https://doi.org/10.1109/JPROC.2009.2015716
Dinh-Thuan, D., Anh-Tu, L. & Byung, M.L. (2020). NOMA in Cooperative Underlay Cognitive Radio Networks under imperfect SIC. IEEE Access, 1-15.
Duan, L. (2014). Cooperative Spectrum Sharing: A Con T-Based Approach. IEEE Transactions on Mobile Computing, 13(1):174-187. DOI: https://doi.org/10.1109/TMC.2012.231
Naeem, M., Anpalagan, A., Jaseemuddin, M. & Lee, D.C.(2014). Resources Allocation Techniques in Cooperative Cognitive Radio Networks. IEEE Communication Surveys and Tutorials, 16(2):729-744. DOI: https://doi.org/10.1109/SURV.2013.102313.00272
Liang, Y.C., Chen, K.W., Li, G.Y. & Mahonen, P. (2011). Cognitive radio network and Communications: An Overview, IEEE Transaction on Vehicular Technol. 60(7):3386-3407. DOI: https://doi.org/10.1109/TVT.2011.2158673
Kader, M.F. (2017). Cooperative Spectrum Sharing in Cognitive Radio Networks: An interference free approach, Physical Communication, 25(1):66-74. DOI: https://doi.org/10.1016/j.phycom.2017.09.001
Nasir, H. (2017). Cooperative communication in relay assisted wireless access networks, Ph.D thesis submitted to Faculty of Science and Engineering, Queensland University of Technology, 1-179.
Zijian, M., Weifeng, S. & John, D. M. (2016). Amplify and forward relaying protocol design with optimum power and time allocation, IEEE Waveform and signal processing, 10(3):1-4.
Rajkumar G. (2016). Performance Evaluation of Maximum Ratio Combining Scheme in WCDMA System for different Modulation, International Journal of Emerging Technologies in Engineering Research 4(5):240-242.
Admoon, A., Rosdiadee, N. & Mahamod, I. (2017). Wireless energy harvesting with cooperative relaying under the best relay selection scheme, International journal of energies 6(2): 1-12.
Nasaruddin N., Yusnidar, O. & Elizar, P (2017). Performance Evaluation of Amplify-Quantize and Forward Protocol for Multi-relay Cooperative Networks, ECTI Transactions on Electrical Engineering, Electronics, and Communications 15 (1): 1-11. DOI: https://doi.org/10.37936/ecti-eec.2017151.171272
Wang, H., Dong, J., Tang, K. & Shi, H. (2021). Outage Performance Analysis of NOMA in Wireless Powered Cognitive Radio Networks with AF and DF Relaying Techniques, Entropy, 1-6. DOI: https://doi.org/10.3390/e23111463
Kun T., Shaowei, L. & Quan, X. (2021). Cooperative Spectrum Sharing in Spectrum Domain with Discrete Time Energy Harvesting for Primary User. ELSEIER Science Direct, Ad Hoc Networks, 102-474.
Lama, N. Ibrahem, Mamoun, F. Al-Mistarihi, Mahmoud, A. Khodeir, Moawiah Alhulayii, & Khalid, A. Darabkh (2023). Best Relay Selection Strategy in Cooperative Spectrum Sharing Framework with Mobile Based End User. MDPI, Applied Sciences, 1-12 DOI: https://doi.org/10.3390/app13148127
Ravindran, R.J., Chelian, V.T., Velmurugan PGS. & Thiruvengadam, S.J. (2023). Novel Spatial Modulation Assisted Cooperative Cognitive Radio Network with Energy Harvesting, Research Square, 1-18.
Al-Badrawi, M. H. (2017). Statistical Properties and Applications of Empirical Mode Decomposition, Ph.D thesis, University of New Hampshire Scholars' Repository, 1-100
Boudraa, A. O., Cexus, J. C. & Saidi, Z. (2014). EMD-Based Signal Noise Reduction, International Journal of Signal Processing, 1(1): 1-6.
Wahiba, M. & Rais, E. (2017). New Denoising Method Based on Empirical Mode Decomposition and Improved Thresholding function, Journal of Physics: Conf. Series 78 (2): 1-7.
Adeyemo, Z.K., Badrudeen & Abolade, R.O., (2013), Inter-symbol Interference Distortion Cancellation using a Modified Maximal Ratio Combiner in Mobile Wireless Communication, Journal of Information Engineering and Application, 3(8): 16-17.
Goldsmith, A.J. (2004). Wireless Communication” first Edition. Cambridge University press. Cambridge, England, 10-44.
Islam, M. J. (2009). Performance analysis of diversity techniques for wireless communication system, MSc thesis submitted to School of Engineering, Blekinge Institute of Technology, 1-34.
Wang, Y., Shiyong, C., Yucheng, W. & Chengxin, Z. (2022). Maximizing Average Throughput of Cooperative Cognitive Radio Networks Based on Energy Harvesting, sensor, 1-17. DOI: https://doi.org/10.3390/s22228921
Panel, Z.Z., Zheng, C. & Xingwang, L. (2022). Intelligent Sensing and Communications for internet of Everything, OPI Backscatter technology and intelligent reflecting technology surface technology in the Internet of Things, 77-135. DOI: https://doi.org/10.1016/B978-0-32-385655-3.00007-2
Tu, L., Munyaradzi, M. & Samarendra, N.S. (2022). Physical layer architecture of 5G enable IoT/ IoMT system, OP2 5G IoT and Edge Computing for Smart Healthcare: Intelligent Data-Centric System, 29-43. DOI: https://doi.org/10.1016/B978-0-323-90548-0.00009-7
Rappaport, T.S. (2002). Wireless communications: principle and practice, prentice hall communication, Chicago 65- 205.