Disruption Aware Routing and link Scheduling for cognitive radio networks

We propose a Disruption Aware Routing and link Scheduling (DARS) scheme for multi-hop cognitive radio networks. The objective is to minimize disruptions to secondary user communication sessions due to channel switching and the resource consumption. We formulate the problem into an optimization problem and develop an efficient algorithm to solve the problem. The main idea is to monitor the data rate change of each communication session and then decide whether or not to change the routing and link scheduling. This eliminates unnecessary channel switching for secondary users. Simulation results demonstrate that DARS effectively reduces channel switching and disruptions to communication sessions.

[1]  Xuemin Shen,et al.  Spectrum-Aware Opportunistic Routing in Multi-Hop Cognitive Radio Networks , 2012, IEEE Journal on Selected Areas in Communications.

[2]  Chien-Chung Shen,et al.  A novel layered graph model for topology formation and routing in dynamic spectrum access networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[3]  Yuguang Fang,et al.  Optimal Scheduling for Multi-Radio Multi-Channel Multi-Hop Cognitive Cellular Networks , 2015, IEEE Transactions on Mobile Computing.

[4]  Michael J. Marcus,et al.  Unlicensed cognitive sharing of TV spectrum: the controversy at the Federal Communications Commission , 2005, IEEE Communications Magazine.

[5]  W. Wang,et al.  On the characteristics of spectrum-agile communication networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[6]  Miao Pan,et al.  Joint routing and link scheduling for cognitive radio networks under uncertain spectrum supply , 2011, 2011 Proceedings IEEE INFOCOM.

[7]  Suman Banerjee,et al.  Distributed channel management in uncoordinated wireless environments , 2006, MobiCom '06.

[8]  Hanif D. Sherali,et al.  Optimal Spectrum Sharing for Multi-Hop Software Defined Radio Networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[9]  Yiwei Thomas Hou,et al.  How to correctly use the protocol interference model for multi-hop wireless networks , 2009, MobiHoc '09.