Modeling and analysis of CogNet architecture for cognitive radio networks

This paper introduces CogNet architecture which is developed based on cross-layer optimized network architecture and specially designed for cognitive radio networks. It enables cognitive radios to share the network information between the lower three layers through a common database while efficiently processing the shared information using the cognitive engine which is attached onto the common database. Cognitive engine in the proposed CogNet architecture is primarily used for routing function in network layer and is served as an example of use of CogNet architecture. It contains four estimators for different purposes and a five-step sequential procedure is implemented to process the shared network information. The available parameters for routing functions, such as routing metrics, can be intelligently adjusted according to the cross-layer optimized feedback from cognitive engine. The detailed modeling, analysis and implementations of CogNet architecture are provided.

[1]  J. B. Evans,et al.  Mobility-Aware Routing Protocol for Mobile Ad-Hoc Networks , 2009, 2009 IEEE International Conference on Communications Workshops.

[2]  Chao Zou,et al.  On game theoretic DSA-driven MAC for cognitive radio networks , 2009, Comput. Commun..

[3]  Milind M. Buddhikot.  Cognitive Radio, DSA and Self-X: Towards Next Transformation in Cellular Networks (Extended Abstract) , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[4]  Theodore S. Rappaport,et al.  Cross-layer design for wireless networks , 2003, IEEE Commun. Mag..

[5]  David D. Clark,et al.  Architectural considerations for a new generation of protocols , 1990, SIGCOMM '90.

[6]  Hang Su,et al.  CREAM-MAC: An efficient Cognitive Radio-enAbled Multi-Channel MAC protocol for wireless networks , 2008, 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[7]  Joseph B. Evans,et al.  Cognitive Multipath Multi-Channel Routing Protocol for Mobile Ad-Hoc Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[8]  Mark Handley,et al.  From protocol stack to protocol heap: role-based architecture , 2003, CCRV.

[9]  Mosa Ali Abu-Rgheff,et al.  Cross-layer signalling for next-generation wireless systems , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[10]  Suyang Ju,et al.  Intelligent Multi-Path Selection Based on Parameters Prediction , 2008, ICC Workshops - 2008 IEEE International Conference on Communications Workshops.

[11]  M. Motani,et al.  Cross-layer design: a survey and the road ahead , 2005, IEEE Communications Magazine.

[12]  Panganamala Ramana Kumar,et al.  A cautionary perspective on cross-layer design , 2005, IEEE Wireless Communications.

[13]  David D. Clark,et al.  The structuring of systems using upcalls , 1985, SOSP '85.

[14]  Zhigang Cao,et al.  A Joint PHY-MAC Spectrum Sensing Algorithm Exploiting Sequential Detection , 2010, IEEE Signal Processing Letters.

[15]  Sridhar Iyer,et al.  Cross-layer design optimizations in wireless protocol stacks , 2004, Comput. Commun..

[16]  Xiaola Lin,et al.  A Novel DSA-Driven MAC Protocol for Cognitive Radio Networks , 2009, Wirel. Sens. Netw..

[17]  Joseph B. Evans,et al.  Scalable Cognitive Routing Protocol for Mobile Ad-Hoc Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

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

[19]  Joseph B. Evans,et al.  Spectrum-Aware Routing Protocol for Cognitive Ad-Hoc Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.