CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks
Tài liệu tham khảo
Khan, 2017, Cognitive-radio-based internet of things: Applications, architectures, spectrum related functionalities, and future research directions, IEEE Wirel. Commun., 24, 17, 10.1109/MWC.2017.1600404
Rahman, 2020, Cognition radio enabled IoT, 19
Mahmood, 2020, Current research trends on cognitive radio based internet of things (IoT), 5
Shafiq, 2019, Ranked sense multiple access control protocol for multichannel cognitive radio-based IoT networks, Sensors, 19, 1703, 10.3390/s19071703
Vimal, 2020, Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks, Comput. Commun., 154, 481, 10.1016/j.comcom.2020.03.004
Rawat, 2016, Cognitive radio for M2M and Internet of Things: A survey, Comput. Commun., 94, 1, 10.1016/j.comcom.2016.07.012
Tang, 2011, Reviews on the cognitive radio platform facing the IOT, 825
Kay, 1993
Axell, 2012, Spectrum sensing for cognitive radio: State-of-the-art and recent advances, IEEE Signal Process. Mag., 29, 101, 10.1109/MSP.2012.2183771
Cabric, 2012, Addressing feasibility of cognitive radios, IEEE Signal Process. Mag., 25, 85, 10.1109/MSP.2008.929367
Huang, 2014, Volume-based method for spectrum sensing, Digit. Signal Process., 28, 48, 10.1016/j.dsp.2014.02.003
Huang, 2014, Performance analysis of volume-based spectrum sensing for cognitive radio, IEEE Trans. Wireless Commun., 14, 317, 10.1109/TWC.2014.2345660
Fouda, 2018, Efficient GLRT/DOA spectrum sensing algorithm for single primary user detection in cognitive radio systems, AEU-Int. J. Electron. Commun., 88, 98, 10.1016/j.aeue.2018.03.012
Patel, 2015, Optimal GLRT-based robust spectrum sensing for MIMO cognitive radio networks with CSI uncertainty, IEEE Trans. Signal Process., 66, 1621, 10.1109/TSP.2015.2500183
Li, 2018, Improved cooperative spectrum sensing model based on machine learning for cognitive radio networks, IET Commun., 12, 2485, 10.1049/iet-com.2018.5245
Shah, 2018, Reliable machine learning based spectrum sensing in cognitive radio networks, Wirel. Commun. Mobile Comput., 2018, 10.1155/2018/5906097
Captain, 2019, SNR wall for generalized energy detector in the presence of noise uncertainty and fading, Phys. Commun., 32, 172, 10.1016/j.phycom.2018.11.013
Kapoor, 2019, Adaptive technique with cross correlation for lowering signal-to-noise ratio wall in sensor networks, Wirel. Pers. Commun., 105, 787, 10.1007/s11277-019-06121-7
He, 2019, Improvement of noise uncertainty and signal-to-noise ratio wall in spectrum sensing based on optimal stochastic resonance, Sensors, 19, 841, 10.3390/s19040841
Tian, 2019, A machine learning-enabled spectrum sensing method for OFDM systems, IEEE Trans. Veh. Technol., 68, 11374, 10.1109/TVT.2019.2943997
Xu, 2018, Mobile collaborative spectrum sensing for heterogeneous networks: A Bayesian machine learning approach, IEEE Trans. Signal Process., 66, 5634, 10.1109/TSP.2018.2870379
Kim, 2020, Heterogeneous network spectrum allocation scheme based on three-phase bargaining game, Comput. Netw., 177, 10.1016/j.comnet.2020.107301
Lin, 2020, GLRT approach for multi-antenna based spectrum sensing under interference, IEEE Commun. Lett., 24, 1524, 10.1109/LCOMM.2020.2985031
Luo, 2019, Opportunistic spectrum access for UAV communications towards ultra dense networks, IEEE Access, 7, 175021, 10.1109/ACCESS.2019.2956958