A Survey on Dynamic Spectrum Access Techniques for Cognitive Radio

Cognitive radio (CR) is a new paradigm that utilizes the available spectrum band. The key characteristic of CR system is to sense the electromagnetic environment to adapt their operation and dynamically vary its radio operating parameters. The technique of dynamically accessing the unused spectrum band is known as Dynamic Spectrum Access (DSA). The dynamic spectrum access technology helps to minimize unused spectrum bands. In this paper, main functions of Cognitive Radio (CR) i.e. spectrum sensing, spectrum management, spectrum mobility and spectrum sharing are discussed. Then DSA models are discussed along with different methods of DSA such as Command and Control, Exclusive-Use, Shared Use of Primary Licensed User and Commons method. Game-theoretic approach using Bertrand game model, Markovian Queuing Model for spectrum allocation in centralized architecture and Fuzzy logic based method are also discussed and result are shown.

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

[2]  Jerry Brito,et al.  The Spectrum Commons in Theory and Practice , 2006 .

[3]  Mansi S. Subhedar,et al.  SPECTRUM SENSING TECHNIQUES IN COGNITIVE RADIO NETWORKS : A SURVEY , 2011 .

[4]  Gerard J. M. Janssen,et al.  Performance Measures of Dynamic Spectrum Access Networks , 2006 .

[5]  R.W. Brodersen,et al.  Cyclostationary Feature Detector Experiments Using Reconfigurable BEE2 , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[6]  Hwanseok Choi,et al.  A game-theoretic analysis of spectrum sharing in cognitive radio networks , 2009, 2009 9th International Symposium on Communications and Information Technology.

[7]  Rong-Rong Chen,et al.  Delay Performance of Threshold Policies for Dynamic Spectrum Access , 2011, IEEE Transactions on Wireless Communications.

[8]  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.

[9]  Anant Sahai,et al.  What is a Spectrum Hole and What Does it Take to Recognize One? , 2009, Proceedings of the IEEE.

[10]  Alice J Crohas.  Practical Implementation of a Cognitive Radio System for Dynamic Spectrum Access , 2008 .

[11]  Arun Khosla,et al.  Markovian Queuing Model for Dynamic Spectrum Allocation in Centralized Architecture for Cognitive Radios , 2011 .

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

[13]  Ying-Chang Liang,et al.  Dynamic Spectrum Access with Virtual Partitioning in Open Spectrum Wireless Networks , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[14]  Anjali Agarwal,et al.  Smart Radio Spectrum Management for Cognitive Radio , 2011, ArXiv.

[15]  Michele Zorzi,et al.  Dynamic Spectrum Access Using a Network Coded Cognitive Control Channel , 2010, IEEE Transactions on Wireless Communications.

[16]  Shamik Sengupta,et al.  Dynamic Spectrum Access in Cognitive Radio based Tactical Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[17]  J. Mitola,et al.  Cognitive radio for flexible mobile multimedia communications , 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384).

[18]  A. Ghasemi,et al.  Collaborative spectrum sensing for opportunistic access in fading environments , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[19]  Milind M. Buddhikot,et al.  DIMSUMnet: new directions in wireless networking using coordinated dynamic spectrum , 2005, Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks.

[20]  Shane Greenstein,et al.  Promoting Efficient Use of Spectrum Through Elimination of Barriers to the Development of Secondary Markets , 2001 .

[21]  Partha Pratim Bhattacharya,et al.  Dynamic Spectrum Access in Cognitive Radio: A Brief Review , 2011 .

[22]  Gongjun Yan,et al.  Spectrum Sensing Methods and Dynamic Spectrum Sharing in Cognitive Radio Networks: A Survey , 2011 .

[23]  Ying-Chang Liang,et al.  Cognitive radio network architecture: part I -- general structure , 2008, ICUIMC '08.

[24]  Lang Tong,et al.  A Measurement-Based Model for Dynamic Spectrum Access in WLAN Channels , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[25]  K. J. Ray Liu,et al.  Game theory for cognitive radio networks: An overview , 2010, Comput. Networks.

[26]  M. Marcus,et al.  Real time spectrum markets and interruptible spectrum: new concepts of spectrum use enabled by cognitive radio , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[27]  S. Srinivasa,et al.  The Throughput Potential of Cognitive Radio: A Theoretical Perspective , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

[28]  W. Marsden.  I and J , 2012 .

[29]  Anant Sahai,et al.  Some Fundamental Limits on Cognitive Radio , 2004 .

[30]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.