@article {646,
	title = {Random sampling for effective spectrum sensing in cognitive radio time slotted environment},
	journal = {Physical Communication},
	volume = {49},
	year = {2021},
	month = {10/2021},
	type = {Research},
	abstract = {<p>In the context of wireless communication, Cognitive Radio has been proposed to ensure an optimal use of the spectrum. It divides the communication transceivers into two categories. Primary User has the priority to use the spectrum band while secondary user is an opportunistic user that can transmit on that band whenever it is available. In order to determine whether a concerned band is occupied or vacant, spectrum sensing functionality is needed together with an appropriate algorithm able to analyze the produced data in order to understand whether a primary user is transmitting or not. In this paper, we contribute by investigating a narrowband spectrum sensing based on two proposed parameters obtained randomly sampling the signal and a Multilayer Perceptron neural network (MLP) classifier. We show that the use of random sampling is more effective than the use of classical uniform sampling. We analyzed the activity status in the GSM channel by using a synthetically generated signal: the signal has been sampled using both uniform and random sampling, than it has been reconstructed and finally classified with the aim of a neural network based classifier. The performances in terms of Receiver Operating Characteristic curves for different Signal to Noise Ratio are presented.</p>
},
	keywords = {Classification, Cognitive Radio, GSM, Neural network, Random sampling, Spectrum Sensing},
	issn = {1874-4907},
	doi = {https://doi.org/10.1016/j.phycom.2021.101482},
	url = {https://www.sciencedirect.com/science/article/pii/S1874490721002196},
	author = {S. Serrano and M. Scarpa and A. Maali and N. Boumazz},
	editor = {A. Soulmani}
}
@proceedings {608,
	title = {A full Secondary User model for Cognitive Radio in a GSM-900 scenario},
	journal = {2019 International Conference on Computing, Networking and Communications (ICNC)},
	year = {2019},
	month = {Feb. 2019},
	pages = {344-349},
	publisher = {IEEE publisher},
	address = {18-21 Feb. 2019, Honolulu, Hawaii, USA},
	abstract = {<p>In this paper, we propose a Petri Net based model able to characterize the QoS of a Secondary User network in a cognitive radio environment operating in the GSM900 band. The proposed model is quite flexible as that it can consider several Primary User network loads, several Secondary User types of services (that involve semantic transparency or time transparency) and it{\textquoteright}s able to take into account mistakes of sensing spectrum algorithm used by Secondary Users. Specifically, we derive the response time distribution of Secondary User from which it is possible to obtain an estimation of both the maximum throughput and jitter. The proposed cognitive radio scenario considers a Secondary User synchronized access to the channel with the GSM frame structure.</p>
},
	keywords = {cellular radio, Cognitive Radio, cognitive radio environment, full secondary user model, GSM, GSM frame structure, GSM-900 scenario, jitter, jitter estimation, maximum throughput estimation, Non Markovian Stochastic Petri Net, Petri net, Petri nets, primary user network loads, QoS, Quality of service, radio spectrum management, response time distribution, secondary user network, semantic transparency, sensing spectrum algorithm, signal detection, time transparency},
	isbn = {978-1-5386-9224-0},
	issn = {978-1-5386-9223-3},
	doi = {10.1109/ICCNC.2019.8685497},
	author = {M. Scarpa and S. Serrano}
}
