Cognitive Radio as Enabling Technology for Dynamic Spectrum Access

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Abstract:

Frequency spectrum scarcity is currently one of the mostly discussed topics in wireless communications. When there is no free spectrum available, no new broadband communication techniques can be put into operation. The double use of already assigned frequencies leads to interferences. A possible solution to the problem is Dynamic Spectrum Access (DSA), realized through Cognitive Radio (CR) technology. Cognitive Radios have the ability to detect unused spectrum segments and to adapt to it dynamically. This adaptation does not only concern a change of frequency, but may also include changes in waveform, bandwidth, or whatever leads to an optimal communication link. This paper gives an overview of the state-of-the-art Cognitive Radio approaches and points out opportunities offered by this technology to overcome the threat of spectrum scarcity.

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1716-1719

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] 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: The International Journal of Computer and Telecommunications Networking, 2006, pp.2127-2159.

DOI: 10.1016/j.comnet.2006.05.001

Google Scholar

[2] L. Joe and I. Porche III. Future Army Bandwidth Needs and Capabilities, Rand Arroyo Centre, (2004).

Google Scholar

[3] G. Staple and K. Werbach. The End of Spectrum Scarcity. IEEE Spectrum, vol. 41, March 2004, pp.40-41.

DOI: 10.1109/mspec.2004.1270548

Google Scholar

[4] K. Sakic and S. Grgic. The Influence of the LTE System on DVB-T Reception, Proc. of 52nd International Symposium ELMAR-2010, Zadar, Croatia, 2010, pp.235-238.

Google Scholar

[5] Q. Zhao and B. Sadler. A Survey of Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy, IEEE Signal Processing Magazine: Special Issue on Resource-Constrained Signal Processing, Communications, vol. 24, March 2007, pp.79-89.

DOI: 10.1109/msp.2007.361604

Google Scholar

[6] J. Mitola III and G. Q. Maguire, Jr., Cognitive Radio: Making Software Radios More Personal, IEEE Personal Communications, vol. 6, April 1999, pp.13-18.

DOI: 10.1109/98.788210

Google Scholar

[7] SDR-Forum (now Wireless Innovation Forum), Cognitive Radio Definitions and Nomenclature, September, (2008).

Google Scholar

[8] Lee W Y, Akyildiz I F. A spectrum decision framework for cognitive radio networks, IEEE Transactions on Mobile Computing , vol. 10, Feb. 2011, pp.161-174.

DOI: 10.1109/tmc.2010.147

Google Scholar

[9] Feng Jingyu, Lu Guangyue, Bao Zhiqiang. A Survey on cognitive radio security, " Journal of Xi, an University of Posts and Telecommunications, vol. 17, Feb. 2012, pp.47-52. (in Chinese).

Google Scholar