Abstract
Cognitive Radio paradigm has recently received considerable interest to address the so called ’spectrum scarcity’ problem. In the USA, the Federal Communications Commission recently issued the regulatory for the use of cognitive radio in the TV white space spectrum. The primary objective is the design of cognitive devices able to combine the use of spectrum sensing, GEO-location and cognitive control channel to manage the network. The recent standard ECMA-392 defines physical layer and medium access control protocols to manage the network in a fully distributed fashion.
In this work, we pursue the design of an efficient medium access control protocol for the cognitive control channel to flexibly and reliably exchange messages inside the cognitive radio network. Our main contributions are the following: 1) we propose a proprietary medium access control protocol based on the Standard ECMA-392; 2) we model the behavior of the cognitive radio network by means of a urn model approach and, 3) we investigate the ability of the cognitive devices to identify frequency holes (accounting for perfect and imperfect spectrum sensing) and in the end we study the network throughput.
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References
Mitola, J.: Cognitive Radio: an integrated agent architecture for software defined radio, PhD Dissertation Royal Institute of Technology KTH, Stockholm, Sweden (2000)
Federal Communications Commission, Unlicensed operation in the TV broadcast bands and additional spectrum for unlicensed devices below 900 MHz in the 3 GHz band, Recommendation ET-Docket No. 04-186 (2004)
ECMA International, Standard ECMA-92: MAC and PHY for Operation in TV White Space, Standard Cognitive Network Alliance (2009)
Wang, J., Myung, S.S., Santhiveeran, S., Lim, K., Ko, G., Kim, K., Hwang, S.H., Ghosh, M., Gaddam, V., Challapali, K.: First Cognitive Radio Networking Standard for Pesonal/Portable Devices in TV White Spaces. In: IEEE DySPAN 2010, Singapore, pp. 1–12 (2010)
Cognitive Networking Alliance, http://www.cognea.org
Drmota, M., Gardy, D., Gittenberger, B.: A Unified Presentation of Some Urn Models, Algorithmica, San Diego, California, vol. 29, pp. 120–147 (2001)
Luo, L., Roy, S.: Analysis of Search Schems in Cognitive Radio, Special Section: Seismic Acquisition, the Leading Edge, San Diego, California, pp. 647–654 (2007)
Zhao, Q., Tong, L., Awami, A., Chen, Y.: Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad Hoc: A POMDP Framework. IEEE Journal on Selected Areas in Communications 25 (2007)
Nekovee, M.: Quantifying the Availability of TV White Spaces for Cognitive Radio Operation in the UK. In: 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum, Singapore, pp. 120–147 (2010)
Hohlfeld, O., Ciucu, F.: Viewing Impaired Video Transmissions From a Modeling Perspective. ACM SIGMETRICS Performance Evaluation Review 37(2) (September 2009)
Poikonen, J., Paavola, J., Ipatov, V.: Aggregated Renewal Markov Processes With Applications in Simulating Mobile Broadcast Systems. IEEE Transactions on Vehicular Technology 58(1) (January 2009)
McDougall, J., Miller, S.: Sensitivity of Wireless Network Simulations to a Two-State Markov Model Channel Approximation. In: Global Telecommunications Conference GLOBECOM, vol. 2, pp. 697–701 (2003)
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Goratti, L., Baldini, G., Rabbachin, A. (2011). An Urn Occupancy Approach for Cognitive Radio Networks in DTVB White Spaces. In: Sacchi, C., Bellalta, B., Vinel, A., Schlegel, C., Granelli, F., Zhang, Y. (eds) Multiple Access Communications. MACOM 2011. Lecture Notes in Computer Science, vol 6886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23795-9_3
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DOI: https://doi.org/10.1007/978-3-642-23795-9_3
Publisher Name: Springer, Berlin, Heidelberg
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