Cognitive Radio Networks

A cognitive radio can be defined by the capability of being aware of its environment and the internal state and, based on the knowledge of these elements and any stored pre-defined objectives, can dynamically adapt, make, and implement decisions about its behavior. Among the applications of cognitive radio, the most widely explored regards the improvement of spectrum bands usage, also known as white spaces. This paper presents a review of cognitive radio framework that facilitates the understanding and implementation of spectrum management functions of a typical-cognitive radio network project.

[1]  S. Enserink,et al.  A cyclostationary feature detector , 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

[2]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[3]  Ward Whitt,et al.  Characterizing Superposition Arrival Processes in Packet Multiplexers for Voice and Data , 1986, IEEE J. Sel. Areas Commun..

[4]  Shuguang Cui,et al.  Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE Journal of Selected Topics in Signal Processing.

[5]  Amir Mousavinia,et al.  A channel state prediction for multi-secondary users in a cognitive radio based on neural network , 2013, 2013 International Conference on Electronics, Computer and Computation (ICECCO).

[6]  James O'Daniell Neel,et al.  Analysis and Design of Cognitive Radio Networks and Distributed Radio Resource Management Algorithms , 2006 .

[7]  S. Kay.  Fundamentals of statistical signal processing: estimation theory , 1993 .

[8]  Ian F. Akyildiz,et al.  CRAHNs: Cognitive radio ad hoc networks , 2009, Ad Hoc Networks.

[9]  Mohamed-Slim Alouini,et al.  Virtualized cognitive network architecture for 5G cellular networks , 2015, IEEE Communications Magazine.

[10]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[11]  Danijela Cabric,et al.  Experimental study of spectrum sensing based on energy detection and network cooperation , 2006, TAPAS '06.

[12]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[13]  R.W. Brodersen,et al.  Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[14]  Muhammad Imran Taj,et al.  Cognitive Radio Spectrum E volution Prediction using A rtificial Neural Networks based Multivariate T ime Series Modelling , 2011, EW.

[15]  K. Ramchandran,et al.  Detecting primary receivers for cognitive radio applications , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[16]  Ananthram Swami,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework , 2007, IEEE Journal on Selected Areas in Communications.

[17]  Pietro Liò,et al.  Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment , 2009, Ad Hoc Networks.