Abstract
For the past few decades, the use of wireless communication devices have exponentially increased and invaded all domains. And the limited amount of spectrum bands can possibly cause an overcrowded or interference in communication between different users. The implementation of Cognitive Radio in the network can successfully deal with the huge demand and the lack of wireless spectrum. Cognitive radio energy detection is a famous method used to sense the state of the primary user PU. In this study, cooperative spectrum sensing together with double threshold have been used. Two thresholds were considered and compared to a test statistic an accordingly a decision regarding the presence and absence of the primary user is made. The simulation results shows that during cooperative sensing the proposed double threshold method performs better than both energy detection and conventional double threshold detection methods, by considering different parameters such as SNR, number of samples, probabilities of detection and false alarm.
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References
Mitola J, Maguire GQ Jr (1999) Cognitive radio: making software radios more personal. IEEE Pers Commun 6(4):13–18
Kordali AV, Cottis PG (2017) A contract-based spectrum trading scheme for cognitive radio networks enabling hybrid access. IEEE Access 3:1531–1540
Axell E et al (2012) State-of-the-art and recent advances spectrum sensing for cognitive radio state-of-the-art and recent advances. Sig Process Mag IEEE 29(3):101–116
Ali A, Hamouda W (2017) Advances on spectrum sensing for cognitive radio networks: theory and applications. IEEE Commun Surv Tutorials 19(2):1277–1304
Patil VM, Patil SR (2016) A survey on spectrum sensing algorithms for cognitive radio. In: 2016 international conference on advances in human machine interaction (HMI). IEEE
Arjoune Y et al (2018) Spectrum sensing: enhanced energy detection technique based on noise measurement. In: 2018 IEEE 8th annual computing and communication workshop and conference (CCWC). IEEE
Medina EEA, Barbin SE (2018) Performance of spectrum sensing based on energy detection for cognitive radios. In: 2018 IEEE-APS topical conference on antennas and propagation in wireless communications (APWC). IEEE
Nasrallah A et al (2018) Energy detection with adaptive threshold for cognitive radio. In: 2018 international conference on communications and electrical engineering (ICCEE). IEEE
Sahu AK, Singh A, Nandakumar S (2018) Improved adaptive cooperative spectrum sensing in cognitive radio networks. In: 2018 2nd international conference on electronics, materials engineering & nano-technology (IEMENTech). IEEE
Ruttik K, Koufos K, J’antti R (2009) Detection of unknown signals in a fading environment. IEEE Commun Lett 13(7):498–500
Herath SP, Rajatheva N, Tellambura C (2011) Energy detection of unknown signals in fading and diversity reception. IEEE Trans Commun 59(9):2443–2453
Liu X, Zhang C, Tan X (2014) Double-threshold cooperative detection for cognitive radio based on weighing. Wireless Commun Mob Comput 14(13):1231–1243
Charan C, Pandey R (2017) Double threshold based spectrum sensing technique using sample covariance matrix for cognitive radio networks. In: 2017 2nd international conference on communication systems, computing and IT applications (CSCITA). IEEE
Acknowledgements
This work is supported by the project “The Verification Platform of Multi-tier Coverage Communication Network for oceans (PCL2018KP002)”.
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Aitmesbah, O., Li, Z. (2020). Enhanced Double Threshold Based Energy Detection. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_75
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DOI: https://doi.org/10.1007/978-981-13-9409-6_75
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