Abstract
Spectrum sensing is one of the major annexes in modern communication systems. It is the basis of a cognitive radio system. Implementation of an efficient spectrum sensing machine involves many challenges, such as processing delay, false alarms, misdetection, detection of weak signals in a noisy environment. The present work reports a physical experimental setup on spectrum sensing. Energy detection-based spectrum sensing machine is implemented with a software-defined radio and an open-source software toolkit GNU Radio. The design of the device is thoroughly deliberated. The result proves the proficiency of the device. The scope of this work is to implement the backbone of a spectrum sensing test bench that can be further utilized for executing and testing new emerging studies.
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References
Mitola J (2000) Cognitive radio: an integrated agent architecture for software defined radio. KTH, Stockholm, Sweden
DasMahapatra S, Gandhi I, Nair K, Sharan SN (2020) Sensing schedule optimization to minimize interference with primary users in cognitive radio network. Indonesian J Electr Eng Comput Sci 17(3):1399–1404
DasMahapatra S, Sharan SN (2018) Effect of sensing duration optimization in cooperative spectrum sensing game. In: 7th international conference on reliability, Infocom technologies and optimization (trends and future directions) (ICRITO). IEEE
**ng X, **g T, Cheng W, Huo Y, Cheng X (2013) Spectrum prediction in cognitive radio networks. IEEE 20(2):90–96
Awin F, Alginahi Y, Abdel-Raheem E, Tepe K (2019) Technical issues on cognitive radio-based internet of things systems: a survey. IEEE 7:97887–97908
Arjoune Y, Naima K (2019) A comprehensive survey on spectrum sensing in cognitive radio networks: recent advances, new challenges, and future research directions. Sensors 8(11):1–32
Wang L, Wu X, Zhang S, Zhang G, Bao Z (2018) Cooperative spectrum sensing algorithm based on phase compensation in cognitive cloud networks. In: ICUFN
DasMahapatra S, Sharan SN (2018) A general framework for multiuser de-centralized cooperative spectrum sensing game. AEU—Int J Electr Commun 92:74–81
Tenorio M, Guerrero AP, Gonzalez RA, Boque SR (2019) Machine learning techniques applied to multiband spectrum sensing in cognitive radios. SENSORS, pp 1–22
Mohammad K, Mohammadi K (2020) Cooperative wideband spectrum sensing in cognitive radio based on sparse real-valued fast Fourier transform. IET 14(8):1340–1348
Wang Y, Tian Z, Feng C (2012) Sparsity order estimation and its application in compressive spectrum sensing for cognitive radios. IEEE 11(6):2116–2125
Ma Y, Gao Y, Liang YC, Cui S (2016) Reliable and efficient sub-Nyquist Wideband spectrum sensing in cooperative cognitive radio networks. IEEE 34(10):2750–2762
Mitola J, Maguire GQ (1999) Cognitive radio: making software radios more personal. IEEE 6(4):13–18
Diamal T, Azzaz MS, Sadoudi S (2020) Analysis study and SDR implementation of GoF-based spectrum sensing for cognitive radio. IET 14(5):857–864
DasMahapatra S, Patnaik S, Sharan SN, Gupta M (2019) Performance analysis of prediction based spectrum sensing for cognitive radio networks. In: 2019 2nd international conference on intelligent communication and computational techniques (ICCT)
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Pandey, M., Chauhan, A., Chowdhury, D., DasMahapatra, S. (2023). Experimental Investigation on Spectrum Sensing Testbed Using GNU Radio and SDR. In: Sarkar, D.K., Sadhu, P.K., Bhunia, S., Samanta, J., Paul, S. (eds) Proceedings of the 4th International Conference on Communication, Devices and Computing. ICCDC 2023. Lecture Notes in Electrical Engineering, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-99-2710-4_24
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DOI: https://doi.org/10.1007/978-981-99-2710-4_24
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