International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 5, No. 10, 8 Sep. 2013
Cover page and Table of Contents: PDF (size: 624KB)
Impact of Throughput in Enhancing the Efficiency of Cognitive Radio Ad Hoc Network - A Study
Full Text (PDF, 624KB), PP.70-77
Views: 0 Downloads: 0
Author(s)
Index Terms
Adhoc network, Spectrum Sensing, Spectrum Decision block, PU Aware policy, Throughput
Abstract
Cognitive Radio Ad Hoc Networks (CRAHNs) constitute a viable solution to solve the current problems of inefficiency in the spectrum allocation, and to deploy highly reconfigurable and self-organizing wireless networks. Cognitive Radio (CR) devices are envisaged to utilize the spectrum in an opportunistic way by dynamically accessing different licensed portions of the spectrum. However the phenomena of channel fading and primary cum secondary interference in cognitive radio networks does not guarantee application demands to be achieved continuously over time. Availability of limited spectrum and the inadequate spectrum resource usage necessitates a new communication standard to utilize the existing wireless spectrum opportunistically. This paper discusses currently existing mechanism for providing better efficiency by utilizing cognitive network intelligence. The frequencies used are utilized to the maximum extent without any interference. This paper aims in comparing the techniques used for enhancing the throughput in CR.
Cite This Paper
V. Jayaraj, J. Jegathesh Amalraj, L. Nagarajan, "Impact of Throughput in Enhancing the Efficiency of Cognitive Radio Ad Hoc Network - A Study", International Journal of Information Technology and Computer Science(IJITCS), vol.5, no.10, pp.70-77, 2013. DOI:10.5815/ijitcs.2013.10.07
Reference
[1]Charushila Axay Patel, Sanjay Kumar, “Enhancing Throughput Efficiency of Adhoc Wireless Networks using Cognitive Radio Approach”, International Conference on Devices and Communications, IEEE, 2011, 978-1-244-9190-2/11.
[2]Taub & Schiling, Principles of Communication System, TMH, 2004.
[3]Ismai Butun, Cagatay, Talay, Turgay, Altilar, Murad, Khalid, Ravi Sankar, “Impact of Mobility Prediction on the Performance of Cognitive Radio Networks”, Wireless Telecommunications Symposium, IEEE, 2010, 978-1-4244-6557-6/10.
[4]J.Jegathesh Amalraj and Dr. V.Jayaraj, “Efficient Spectrum Sharing and Allocation Schemes for Throughput Enhancements in a Cognitive Radio Network”, International Conference on Computing, Communication and Networking Technology (ICCCNT’12), IEEE, 2012, Paper No: IEEE-20180.
[5]Xu Ling, Song Li, “Enhancing the capacity of Spectrum sharing Cognitive Radio Networks”’ IEEE Transactions on Vehicular Technology, IEEE, 2011, Volume 60, No.8, 0018-9545.
[6]Cuiran Li, Chengshu Li, “Oppurtunistic Spectrum Access in Cognitive Radio Networks”, International Joint Conference on Neural Networks, IEEE, 2008, 978-1-4244-1821-3/08.
[7]Pravin Ghosekar, Girish Katkar and Dr. Pradip Ghorpade, “Mobile Ad Hoc Networking: Imperatives and Challenges”, 2010, International Journal of Computer Applications.
[8]Patel C.A, “Enhancing Throughput Efficiency of Adhoc Wireless Networks Using Cognitive Radio Approach”, International Conference on Devices and Communications, IEEE, 2011, 978-1-4244-9189-6.
[9]Ian F. Akyildiz, Won-Yoel Lee, Kaushik R.Chowdhury, “CRAHNs: Cognitive Radio Ad Hoc Networks”, 2007, Elsevier, Journal Ad Hoc Networks.
[10]Cuiran Li, Chengshu Li, “Opportunistic Spectrum Access in Cognitive Radio Networks”, International Joint Conference on Neural Networks, IEEE, 2008, 978-1-4244-1821-3/08.