Decision making for cognitive radio equipment: analysis of the first 10 years of exploration
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[1] B. Benmammar,et al. Dynamic Spectrum Access , 2013 .
[2] Jacques Palicot,et al. Radio Engineering: From Software To Cognitive Radio , 2011 .
[3] Hamidou Tembine,et al. Radio Engineering: From Software Radio to Cognitive Radio , 2011 .
[4] Wassim Jouini,et al. Upper Confidence Bound Algorithm for Opportunistic Spectrum Access with Sensing Errors , 2011 .
[5] Wassim Jouini,et al. Energy Detection Limits Under Log-Normal Approximated Noise Uncertainty , 2011, IEEE Signal Processing Letters.
[6] Hamid Reza Karimi,et al. Geolocation databases for white space devices in the UHF TV bands: Specification of maximum permitted emission levels , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
[7] Ian F. Akyildiz,et al. Cooperative spectrum sensing in cognitive radio networks: A survey , 2011, Phys. Commun..
[8] Feng Wang,et al. Cognitive Radio Decision Engine Based on Priori Knowledge , 2010, 2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming.
[9] Christophe Moy,et al. Bio-inspired cognitive phones based on human nervous system , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).
[10] Bhaskar Krishnamachari,et al. Distributed learning under imperfect sensing in cognitive radio networks , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.
[11] K. J. Ray Liu,et al. Game theory for cognitive radio networks: An overview , 2010, Comput. Networks.
[12] Sergio Barbarossa,et al. Distributed resource allocation in cognitive radio systems based on social foraging swarms , 2010, 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).
[13] D. Ernst,et al. Upper Confidence Bound Based Decision Making Strategies and Dynamic Spectrum Access , 2010, 2010 IEEE International Conference on Communications.
[14] Jeffrey H. Reed,et al. Survey of cognitive radio architectures , 2010, Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon).
[15] Qing Zhao,et al. Distributed learning in cognitive radio networks: Multi-armed bandit with distributed multiple players , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[16] Ao Tang,et al. Opportunistic Spectrum Access with Multiple Users: Learning under Competition , 2010, 2010 Proceedings IEEE INFOCOM.
[17] Wassim Jouini,et al. On decision making for dynamic configuration adaptation problem in cognitive radio equipments: a mul , 2010 .
[18] Christophe Moy,et al. High-Level Design Approach for the Specification of Cognitive Radio Equipments Management APIs , 2010, Journal of Network and Systems Management.
[19] Sufi Tabassum Gul,et al. Optimization of Multi-standards Software Defined Radio Equipments: A Common Operators Approach , 2009 .
[20] Wassim Jouini,et al. Multi-armed bandit based policies for cognitive radio's decision making issues , 2009, 2009 3rd International Conference on Signals, Circuits and Systems (SCS).
[21] Jordi Pérez-Romero,et al. Spectral occupation measurements and blind standard recognition sensor for cognitive radio networks , 2009, 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications.
[22] Rachid Hachemani,et al. Multilayer sensors for the Sensorial Radio Bubble , 2009, Phys. Commun..
[23] Qing Zhao,et al. Channel probing for opportunistic access with multi-channel sensing , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.
[24] Honggang Zhang,et al. Swarm Intelligence Based Dynamic Control Channel Assignment in Cogmesh , 2008, ICC Workshops - 2008 IEEE International Conference on Communications Workshops.
[25] Apostolos A. Kountouris,et al. Cognitive Decision Making Process Supervising the Radio Dynamic Reconfiguration , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).
[26] Xianming Qing,et al. Spectrum Survey in Singapore: Occupancy Measurements and Analyses , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).
[27] Michele Zorzi,et al. Fuzzy Logic for Cross-layer Optimization in Cognitive Radio Networks , 2008, 2007 4th IEEE Consumer Communications and Networking Conference.
[28] Anant Sahai,et al. SNR Walls for Signal Detection , 2008, IEEE Journal of Selected Topics in Signal Processing.
[29] M. Zorzi,et al. Learning and Adaptation in Cognitive Radios Using Neural Networks , 2008, 2008 5th IEEE Consumer Communications and Networking Conference.
[30] Csaba Szepesvári,et al. Tuning Bandit Algorithms in Stochastic Environments , 2007, ALT.
[31] Nikola Kasabov,et al. Evolving Connectionist Systems: The Knowledge Engineering Approach , 2007 .
[32] Troy Weingart,et al. A Statistical Method for Reconfiguration of Cognitive Radios , 2007, IEEE Wireless Communications.
[33] Petri Mähönen,et al. Evaluation of Spectrum Occupancy in Indoor and Outdoor Scenario in the Context of Cognitive Radio , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.
[34] Timothy J. O'Shea,et al. Applications of Machine Learning to Cognitive Radio Networks , 2007, IEEE Wireless Communications.
[35] Brian M. Sadler,et al. A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.
[36] Kevin W. Sowerby,et al. A Quantitative Analysis of Spectral Occupancy Measurements for Cognitive Radio , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.
[37] M.M. Buddhikot,et al. Understanding Dynamic Spectrum Access: Models,Taxonomy and Challenges , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.
[38] Özgür B. Akan,et al. BIOlogically-Inspired Spectrum Sharing in Cognitive Radio Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.
[39] Brian M. Sadler,et al. Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy , 2006, cs/0609149.
[40] Joseph Mitola,et al. Cognitive Radio Architecture: The Engineering Foundations of Radio XML , 2006 .
[41] Charles W. Bostian,et al. Cognitive Radio Formulation and Implementation , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.
[42] Harald Haas,et al. Asilomar Conference on Signals, Systems, and Computers , 2006 .
[43] Alistair Munro,et al. Performance comparison of cooperative and non-cooperative relaying mechanisms in wireless networks , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..
[44] Q. Zhao,et al. Decentralized cognitive mac for dynamic spectrum access , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..
[45] L. Berlemann,et al. Policy-based reasoning for spectrum sharing in radio networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..
[46] Friedrich Jondral,et al. Software-Defined Radio—Basics and Evolution to Cognitive Radio , 2005, EURASIP J. Wirel. Commun. Netw..
[47] Simon Haykin,et al. Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.
[48] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[49] Joseph Mitola,et al. Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..
[50] R. Agrawal. Sample mean based index policies by O(log n) regret for the multi-armed bandit problem , 1995, Advances in Applied Probability.
[51] Joseph Mitola,et al. The software radio architecture , 1995, IEEE Commun. Mag..
[52] Dietmar Kunz,et al. Channel assignment for cellular radio using simulated annealing , 1993 .
[53] A. Sonnenschein,et al. Radiometric detection of spreadspectrum signals in noise of uncertain power , 1992 .
[54] Shujun Li,et al. Collaborative Adaptation of Cognitive Radio Parameters Using Ontology and Policy Based Approach , 2012 .
[55] Mieczyslaw M. Kokar,et al. COLLABORATIVE ADAPTATION OF COGNITIVE RADIO PARAMETERS USING ONTOLOGY AND POLICY APPROACH , 2010 .
[56] Hüseyin Arslan,et al. A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.
[57] Rachid Hachemani,et al. The "Sensorial Radio Bubble" for Cognitive Radio Terminals , 2008 .
[58] M. Zorzi,et al. Fuzzy logic for cross-layer optimization in cognitive radio networks , 2008, IEEE Communications Magazine.
[59] Charles W. Bostian,et al. Application of artificial intelligence to wireless communications , 2007 .
[60] Nikola K. Kasabov,et al. Evolving connectionist systems - the knowledge engineering approach (2. ed.) , 2007 .
[61] Charles W. Bostian,et al. Biologically Inspired Cognitive Radio Engine Model Utilizing Distributed Genetic Algorithms for Secure and Robust Wireless Communications and Networking , 2004 .
[62] David P. Reed,et al. How wireless networks scale: the illusion of spectrum scarcity , 2002 .
[63] Shane Greenstein,et al. Promoting Efficient Use of Spectrum Through Elimination of Barriers to the Development of Secondary Markets , 2001 .
[64] Joseph Mitola,et al. Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .
[65] Nikola K. Kasabov,et al. ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm , 1998, ICONIP.
[66] T. L. Lai Andherbertrobbins. Asymptotically Efficient Adaptive Allocation Rules , 2022 .