Improving the performance of vehicular networks in high traffic density conditions with cognitive radios

Vehicular ad hoc networks offer safety and travel efficiency by sharing information between vehicles and roadside units. The performance of current proposed standard can suffer when there is a large amount of spectral congestion. Spectral congestion can result when there is high vehicle density such as traffic jams. In this paper, we propose a cognitive radio system to spatially and temporally add additional channels to VANETs. This additional spectrum can increase the throughput and decrease the probability of packet collisions.

[1]  Jin Chun.  IEEE802.11p:Wireless Access in Vehicular Environments , 2009 .

[2]  R. Venkatesha Prasad,et al.  Cognitive functionality in next generation wireless networks: standardization efforts , 2008, IEEE Communications Magazine.

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

[4]  Panagiotis Papadimitratos,et al.  Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation , 2009, IEEE Communications Magazine.

[5]  J. Li,et al.  Saturation throughput analysis of WAVE networks in Doppler spread scenarios , 2010, IET Commun..

[6]  C. Cordeiro,et al.  IEEE 802.22: the first worldwide wireless standard based on cognitive radios , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[7]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[8]  Frederick W. Lipfert,et al.  Traffic density as a surrogate measure of environmental exposures in studies of air pollution health effects: Long-term mortality in a cohort of US veterans , 2006 .

[9]  Hang Su,et al.  Cross-Layer Based Opportunistic MAC Protocols for QoS Provisionings Over Cognitive Radio Wireless Networks , 2008, IEEE Journal on Selected Areas in Communications.

[10]  G. Staple,et al.  The end of spectrum scarcity [spectrum allocation and utilization] , 2004, IEEE Spectrum.

[11]  Alexander M. Wyglinski,et al.  Characterization of vacant UHF TV channels for vehicular dynamic spectrum access , 2009, 2009 IEEE Vehicular Networking Conference (VNC).

[12]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[13]  Chen-Nee Chuah,et al.  Cognitive Radio Enabled Multi-Channel Access for Vehicular Communications , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[14]  Andreas Meier,et al.  Design of 5.9 ghz dsrc-based vehicular safety communication , 2006, IEEE Wireless Communications.

[15]  Zoran Hadzi-Velkov,et al.  Saturation throughput - delay analysis of IEEE 802.11 DCF in fading channel , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[16]  Bernhard Walke,et al.  A Novel MAC Protocol for Throughput Sensitive Applications in Vehicular Environments , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[17]  Stephan Eichler,et al.  Performance Evaluation of the IEEE 802.11p WAVE Communication Standard , 2007, 2007 IEEE 66th Vehicular Technology Conference.

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