A hybrid spectrum sensing approach to select suitable spectrum band for cognitive users

Akyildiz, 2011, Cooperative spectrum sensing in cognitive radio networks: a survey, Phys. Commun., 4, 40, 10.1016/j.phycom.2010.12.003 Barnes, 2014, Prediction based channel allocation performance for cognitive radio, AEU-Int. J. Electron. Commun., 68, 336, 10.1016/j.aeue.2013.09.009 Awasthi, 2019, Optimal sensing, fusion and transmission with primary user protection for energy-efficient cooperative spectrum sensing in CRNs, AEU-Int. J. Electron. Commun., 98, 95, 10.1016/j.aeue.2018.10.031 Rajaguru, 2016, Performance analysis of radio access techniques in self-configured next generation wireless networks, Adv. Natl. Appl. Sci., 10, 232 El Helou, 2016, A hybrid approach for radio access technology selection in heterogeneous wireless networks, Wirel. Pers. Commun., 86, 789, 10.1007/s11277-015-2957-2 Joshi, 2013, Cognitive radio wireless sensor networks: applications, challenges and research trends, Sensors, 13, 11196, 10.3390/s130911196 Lin, 2016, A novel dynamic spectrum access framework based on reinforcement learning for cognitive radio sensor networks, Sensors, 16, 1675, 10.3390/s16101675 Guibene, 2012, A complete framework for spectrum sensing based on spectrum change points detection for wideband signals, 1 Li, 2013, Dynamic profit maximization of cognitive mobile virtual network operator, IEEE Trans. Mob. Comput., 13, 526, 10.1109/TMC.2013.10 Wu, 2013, Spatial-temporal opportunity detection for spectrum-heterogeneous cognitive radio networks: two-dimensional sensing, IEEE Trans. Wirel. Commun., 12, 516, 10.1109/TWC.2012.122212.111638 Ding, 2013, Spectrum sensing in opportunity-heterogeneous cognitive sensor networks: how to cooperate?, IEEE Sens. J., 13, 4247, 10.1109/JSEN.2013.2264161 Ding, 2014, Robust spectrum sensing with crowd sensors, IEEE Trans. Commun., 62, 3129, 10.1109/TCOMM.2014.2346775 Pattanayak, 2014, Spectrum hole detection in TV band using ANN model for opportunistic radio communication, 1 Salah, 2016, Minimizing energy of cluster-based Cooperative Spectrum Sensing in CRN using Multi Objective Genetic Algorithm, 178 Suliman, 2016, Implementing immune-based algorithm for bandwidth spectrum allocation in wireless communication, 90 Chinchali, 2018, Cellular network traffic scheduling with deep reinforcement learning Prabhananthakumar, M., Rajaguru, R., & Rathnamala, S.A survey on cognitive engine. J. Acad. Ind. Res., 1(1). Bkassiny, 2012, A survey on machine-learning techniques in cognitive radios, IEEE Commun. Surv. Tutor., 15, 1136, 10.1109/SURV.2012.100412.00017 Liu, 2019 Liu, 2018, A novel multichannel Internet of things based on dynamic spectrum sharing in 5G communication, IEEE Internet  Things J., 6, 5962, 10.1109/JIOT.2018.2847731 Hasan, 2016, Network selection and channel allocation for spectrum sharing in 5G heterogeneous networks, IEEE Access, 4, 980, 10.1109/ACCESS.2016.2533394 Hu, 2014, Spectrum-energy-efficient sensing with novel frame structure in cognitive radio networks, AEU-Int. J. Electron. Commun., 68, 1065, 10.1016/j.aeue.2014.05.010 Alom, 2017, Enhanced spectrum sensing based on Energy detection in cognitive radio network using adaptive threshold, 138 Wu, 2009, An energy detection algorithm based on double-threshold in cognitive radio systems, 493 Acharya, 2006, Reliable open spectrum communications through proactive spectrum access, 5 Yarkan, 2007, Binary time series approach to spectrum prediction for cognitive radio, 1563 Hoyhtya, 2011, Improving the performance of cognitive radios through classification, learning, and predictive channel selection, Adv. Electron. Telecommun., 2, 28 Chou, 2007, What and how much to gain by spectrum agility?, IEEE J. Sel. Areas Commun., 25, 576, 10.1109/JSAC.2007.070408 Al Daoud, 2007, Secondary pricing of spectrum in cellular CDMA networks, 535 Talat, 2016, Spectrum decision for cognitive radio networks with various-bandwidth channels, 1 Riihijarvi, 2008, Characterization and modelling of spectrum for dynamic spectrum access with spatial statistics and random fields, 1 Canberk, 2011, Primary user activity modeling using first-difference filter clustering and correlation in cognitive radio networks, IEEE/ACM Trans. Network. (TON), 19, 170, 10.1109/TNET.2010.2065031 Li, 2017, Performance analysis of cooperative spectrum sensing over large and small scale fading channels, AEU-Int. J. Electron. Commun., 78, 90, 10.1016/j.aeue.2017.05.026 Lin, 2016, A novel dynamic spectrum access framework based on reinforcement learning for cognitive radio sensor networks, Sensors, 16, 1675, 10.3390/s16101675 Galindo-Serrano, 2010, Distributed Q-learning for aggregated interference control in cognitive radio networks, IEEE Trans. Veh. Technol., 59, 1823, 10.1109/TVT.2010.2043124 Galindo-Serrano, 2010, Learning from experts in cognitive radio networks: the docitive paradigm, 1 Zhang, 2018, Distributed cooperative spectrum sensing based on reinforcement learning in cognitive radio networks, AEU-Int. J. Electron. Commun., 94, 359, 10.1016/j.aeue.2018.07.029