Inter-Network Resource Sharing in IEEE 802.22 Networks

Abstract

IEEE 802.22 is the first worldwide standard for Cognitive Networks (CNs) that exploits unused spectrum of the television broadcast service. An IEEE 802.22 network is also called Wireless Regional Area Network (WRAN). An open issue in cognitive 802.22 networks is represented by the resource distribution among WRANs. In this paper a protocol for radio resource management for CNs in a multichannel environment is presented and analysed. In particular, the contribution of this work is a resource sharing method to schedule the WRAN access to the available channels in a community made by two o more coexisting WRANs. The method adapts to the continuous changes of the spectrum availability due to necessity of vacating a channel in case of the incumbent primary users. Moreover, the introduced allocation scheme allows to divide the available band in a proportional way to the cognitive user spectrum demands, taking into account the issue of spatial diversity, i.e. the case where the channel coverage area is not uniform. The effectiveness of the proposed multichannel scheme is proved through simulations. The results compared favorably with other methods already known in literature and show that the proposed algorithm optimize the spectral efficiency, keeping high fairness as demonstrated computing the Jain’s index.

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C. Passiatore and P. Camarda, "Inter-Network Resource Sharing in IEEE 802.22 Networks," Communications and Network, Vol. 4 No. 2, 2012, pp. 111-121. doi: 10.4236/cn.2012.42015.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] C. Passiatore and P. Camarda, “A Centralized InterNetwork Resource Sharing (CIRS) Scheme in IEEE 802.22 Cognitive Networks,” The 10th IEEE IFIP Annual Mediterranean Ad Hoc Networking Workshop, Favignana Island, 12-15 June 2011, pp. 17-24.
[2] P. Camarda, C. Cormio and C. Passiatore, “An Exclusive Selfcoexistence (ESC) Resource Sharing Algorithm for Cognitive 802.22 Networks,” 5th IEEE International Symposium on Wireless Pervasive Computing (ISWPC), Modena, 5-7 May 2010, pp. 128-133.
[3] K. Ben Letaief and W. Zhang, “Cooperative Communications for Cognitive Radio Networks,” Proceedings of the IEEE, Vol. 97, No. 5, 2009, pp. 878-893. doi:10.1109/JPROC.2009.2015716
[4] I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty, “Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey,” Computer Networks, Vol. 50, No. 13, 2006, pp. 2127-2159. doi:10.1016/j.comnet.2006.05.001
[5] R. Tandra, M. Mishra and A. Sahai, “Extended Edition: What Is a Spectrum Hole and What Does It Take to Recognize One?” University of California, Berkeley, 2008.
[6] K. Bian and J.-M. Park, “A Coexistence-Aware Spectrum Sharing Protocol for 802.22 WRANs,” The 18th International Conference on Computer Communications and Networks, San Francisco, 3-6 August 2009, pp. 1-6.
[7] H. Wendong, D. Willkomm, M. Abusubaih, J. Gross, G. Vlantis, M. Gerla and A. Wolisz, “Cognitive Radios for Dynamic Spectrum Access-Dynamic Frequency Hopping Communities for Efficient IEEE 802.22 Operation,” Communications Magazine, Vol. 45, No. 5, 2007, pp. 80-87.
[8] H. Wendong, M. Gerla, G. Vlantis and G. Pottie, “Efficient, Flexible, and Scalable Inter-Network Spectrum Sharing and Communications in Cognitive IEEE 802.22 Networks,” 1st International Workshop on Cognitive Radio and Advanced Spectrum Management, Aalborg, 14 February 2007, pp. 1-5.
[9] S. Sengupta, S. Brahma, M. Chatterjee and S. Shankar, “Enhancements to Cognitive Radio Based IEEE 802.22 Air-Interface,” IEEE International Conference on Communications, Glasgow, 24-28 June 2007, pp. 5155-5160. doi:10.1109/ICC.2007.852
[10] Z. Fan and R. Zhang, “Spectrum Allocation and Medium Access in Cognitive Radio Wireless Networks,” Wireless Conference (European), Aalborg, 17-20 May 2009, pp. 90-95.
[11] F. Kelly, “Charging and Rate Control for Elastic Traffic,” European Transactions on Telecommunications, Vol. 8, No. 1, 1997, pp. 33-37. doi:10.1002/ett.4460080106
[12] C. Cordeiro, K. Challapali, D. Birru and S. Shankar, “IEEE 802.22: The First Worldwide Wireless Standard Based on Cognitive Radios,” 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, 8-11 November 2005, pp. 328-337.
[13] C. Sacchi and F. Granelli, “Qos-Driven Radio Resource Allocation for OFDMA Networks Based on a Game Theoretical Approach,” Electrical and Electronic Engineering, Vol. 21, No. 2, 2010, pp. 283-290.
[14] C. Cordeiro, K. Challapali, et al., “IEEE 802.22: An Introduction to the First Wireless Standard Based on Cognitive Radios,” Journal of Communications, Vol. 1, 2006, pp. 38-47.
[15] C. Cormio and K. Chowdhury, “A Survey on Mac Protocols for Cognitive Radio Networks,” Ad Hoc Networks, Vol. 7, No. 7, 2009, pp. 1315-1329.
[16] S. Hwang, J. S. Um, M. Song, C. Kim, H. Park and Y. Kim, “Design and Verification of IEEE 802.22 Wran Physical Layer,” 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communication, Singapore, 15-17 May 2008, pp. 1-6.
[17] A. Sharifloo, M. Mirakhorli, M. Esmaeili and A. T. Haghighat, “A Leader Election Algorithm for Clustered Groups,” International Conference on Industrial and Information Systems, Penadeniya, 9-11 August 2007, pp. 1-4.
[18] C. Stevenson, G. Chouinard, Z. Lei, W. Hu, S. Shellhammer and W. Caldwell, “IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard,” Communications Magazine, Vol. 47, No. 1, 2009, pp. 130-138. doi:10.1109/MCOM.2009.4752688
[19] S. Benedetto, E. Biglieri and V. Castellani, “Digital Transmission Theory,” Prentice Hall, Upper Saddle River, 1987.
[20] R. Jain, D. Chiu and W. Hawe, “A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Computer Systems,” DEC Research, Technical Report, 1984.

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