Dynamic Threshold based Cooperative Spectrum Sensing using Coalitional Game for CRNs

Cooperative Spectrum Sensing (CSS) in Cognitive Radio Network (CRN) is proven to enhance the efficiency of spectrum sensing by using spatial diversity of secondary users (SUs). However, during designing of CSS schemes the incorporation of dynamic interaction among the SUs and the selection of appropriate sensing threshold play an important role. This paper contributes in the following way by - (i) proposing a coalitional game theory based model for CSS, (ii) proposing a distance based adaptive sensing threshold determination technique and (iii) considering cooperation overhead in CSS due to reporting error. The CSS model is evaluated via simulation studies and the results obtained show that proposed model improves performance of spectrum sensing in terms of detection probability compared to similar CSS techniques.

[1]  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..

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

[3]  Sanjib Kumar Deka,et al.  Coalitional Game Theory based Cooperative Spectrum Sensing in CRNs , 2017, ICDCN.

[4]  Roger B. Myerson,et al.  Game theory - Analysis of Conflict , 1991 .

[5]  Hong Ji,et al.  Collaborative spectrum sensing in multi-channel cognitive networks: A coalition game approach , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Wei Zhang,et al.  Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks - [transaction letters] , 2008, IEEE Transactions on Wireless Communications.

[7]  S. Kirthiga,et al.  An adaptive threshold method for energy based spectrum sensing in Cognitive Radio Networks , 2015, 2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT).

[8]  Chittaranjan Hota,et al.  Efficient cooperative spectrum sensing in Cognitive Radio using coalitional game model , 2014, 2014 International Conference on Contemporary Computing and Informatics (IC3I).

[9]  Geetam Singh Tomar,et al.  A Robust Detector Using SNR with Adaptive Threshold Scheme in Cognitive Radio Networks , 2016 .

[10]  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..

[11]  Hyun-Ho Choi,et al.  Adaptive Sensing Threshold Control Based on Transmission Power in Cognitive Radio Systems , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

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

[13]  Zhu Han,et al.  Coalitional Games for Distributed Collaborative Spectrum Sensing in Cognitive Radio Networks , 2009, IEEE INFOCOM 2009.

[14]  Andreas Witzel,et al.  A Generic Approach to Coalition Formation , 2007, IGTR.

[15]  Yue Gao,et al.  Spectrum sensing using adaptive threshold based energy detection for OFDM signals , 2014, 2014 IEEE International Conference on Communication Systems.