Cognitive radio – State of the Art
DOI:
https://doi.org/10.18046/syt.v9i16.1028Keywords:
Cognitive radio, software defined radio, dynamic spectrum access, spectrum management.Abstract
The wireless technology is growing very quickly, in the actuality the new technologies applied to the radius link appear with a multiplicity of names that change as the application and the use that do of them: Bluetooth, GSM, Microwaves, Links Satellites, Wi-Fi, WiMax, ZigBee, etc. Each system uses a hardware and devoted software and exclusive chord to his functionalities to send and receive the waves of radio. Some of these bands of the spectrum can justify by the fact that some applications work better in determinate spaces inside the spectrum electric radio. This exponential growth of wireless applications creates an every time main demand of spectrum electric radio what has motivated the research of technologies of radio that can scalar to satisfy the future demands, so much in terms of efficiency of spectrum and performance of the applications.References
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[2] FCC, Spectrum Policy Task Force Report, ET Docket No. 02-155. Nov. 2002.
[3] D. Cabric, S. M. Mishra, R. W. Brodersen, “Implementation Issues in Spectrum Sensing for Cognitive Radios”, in : Proc. 38th Asilomar Conference on Signals, Systems and Computers, Nov. 2004, pp. 772-776.
[4] A. Petrin, P.G. Steffes, “Measurement and Analysis of Urban Spectrum Usage”, in: Proc. Of the 2004 International Symposium on Advanced Radio Technologies NTIA Special Publication SP-04- 409, 2004, pp. 45-48. Presented at the 2004 International Symposium on Advanced Radio Technologies, Boulder, CO, March 3, 2004.
[5] FCC, “Notice of Proposed Rulemaking (NPRM 03 322): Facilitating Opportunities for Flexible, Efficient and Reliable Spectrum agile Radio Technologies” ET Docket No. 03 108, Dec. 2003.
[6] FCC, ET Docket No. 03-108. Mar. 2005.
[7] DARPA XG Working Group, “The XG Architectural Framework V1.0”, 2003.
[8] DARPA XG Working Group, “The XG Vision RFC”, 2003.
[9] C. Bergstorm, S. Chuprun, D. Torrieri, “Adaptative Spectrum Exploitation using Software Defined Radios”, IEEE Radio and Wireless Conference, pp. 113-116, 1999.
[10] P. K. Lee, “Joint Frequency Hopping and Adaptative Spectrum Exploitation”, IEEE MILCOM, pp. 566-570, Vol. 11, 2001.
[11] S. Haykin, “Cognitive Radio: brain-empowered wireless communications”, IEEE Journal on Selected Areas in Communications 23 (2), pp. 201-220, 2005.
[12] http://www.adapt4.com/adapt4-products.php
[13] Y. Yuan, et al. KNOWS: Kognitiv Networking Over White Spaces. En: Proceedings of 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2007), April 17-20 de 2007. p416-427.
[14] J Mitola, "The Software Radio", IEEE National Telesystems Conference, 1992 - Digital Object Identifier 10.1109/NTC.1992.267870.
[15] J. Zhao, H. Zheng y G. Yang. Spectrum Sharing through Distributed Coordination in Dynamic Spectrum Access Networks. En: Wiley Wireless Communications and Mobile Computing Journal, Vol.7, No.9, November 2007. p1061-1075.
[16] Twain, K. (2002). WiproSDRadio.pdf. En línea, en BroadcastPapers.com, http://www.broadcastpapers.com/whitepapers/WiproSDRadio.pdf
[17] http://www.janes.com/articles/Janes-Military-Communications/AN-USC-61-Digitial-Modular-Radio-DMR-United-States.html
[18] http://www.eda.europa.eu/genericitem.aspx?area=28&id=588
[19] http://gnuradio.org/redmine/wiki/gnuradio
[20] http://www.ettus.com/download
[21] Telecommunications Law And Policy. Krattenmaker, Thomas G.
[22] Joseph Mitola, III, “Cognitive Radio for Flexible Multimedia Communications”, Mobile Multimedia Communications, 1999. (MoMuC '99) 1999 IEEE International Workshop on, pp. 3 –10, 1999.
[23] S. Haykin, “Cognitive Radio: brain-empowered wireless communications”, IEEE Journal on Selected Areas in Communications
[24] National Telecommunications and Information Administration, on FCC ET Docket No. 03-108: “Facilitating Opportunities for Flexible, Efficient and Reliable Spectrum Use Employing Cognitive Radio Technologies”, Feb. 2005.
[25] IEEE USA, “Improving Spectrum Usage through Cognitive Radio Technology”, IEEE USA Position, Nov. 2003.
[26] IEEE 1900.1 Group, Draft Document, “Standard Definitions and Concepts for Spectrum Management and Advanced Radio System Technologies”, Jun. 2006.
[27] FCC, “Notice of Proposed Rulemaking (NPRM 03 322): Facilitating Opportunities for Flexible, Efficient and Reliable Spectrum agile Radio Technologies” ET Docket No. 03 108, Dec. 2003.
[28] J. Neel, R. Gilles, “The Role of the Game Theory in the Analysis of Software Radio Networks”, Proc. Software Defined radio Forum Technical Conference and Product Exhibition (SDR’02), vol. 2
[29] Bin Le, W. Rondeau Thomas, “General Radio Interface Between Cognitive Algorithms and Reconfigurable Radio Platforms”, http://www.crtwireless.com/files/LeB_2.pdf
[30]http://www.fcc.gov/Bureaus/Engineering_Technology/Documents/cognitive_radio/fcc_cognitive_radio_fette_v8.ppt
[31] IEEE 802.22 Working Group, “WRAN Reference Model”, Doc. Num. 22-04-0002-12-0000.
[32] C. Cordeiro, K. Challapali, D. Birru, S. Shankar, “IEEE 802.22: the First Worldwide Wireless Standard Based on Cognitive Radios”, in Proc. IEEE DySPAN 2005, pp. 328-337, Nov. 2005.
[33] ARSLAN, Hüseyin; “COGNITIVE RADIO, SOFTWARE DEFINED RADIO, AND ADAPTIVE WIRELESS SYSTEMS”. Editorial Springer. Dordrecht, Netherlands. 2007. (2). Wireless Innovation Forum (SDR Forum). http://www.wirelessinnovation.org/
[34] www.sdrforum.org
[35] ITU Z.100 Recs., “Specification and Description Language,” Geneva, Switzerland, 1991
[36] J. Mitola, “Cognitive Radio,” Licentiate proposal, KTH, Stockholm, Sweden, Dec. 1998.
[37] J. Bicket, D. Aguayo, S. Biswas, R. Morris, 2005, Architecture and Evaluation of an Unplanned 802.11b Mesh Network, paper presented at the MobiCom 2005 Conference, Cologne, August
[38] R. W. Brodersen et al., “CORVUS: A Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum,” White Paper, Berkeley Wireless Research Center, 2004
[39] www.adapt4.com/
[40] R. W. Brodersen et al., “CORVUS: A Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum,” White Paper, Berkeley Wireless Research Center, 2004
[41]www.sportviews.org/UserFiles/File/.../E2RII_SPORTVIEWS_Brussels.ppt.pdf
[42] http://www.sharedspectrum.com/resources/darpa-next-generation-communications-program/
[43] http://xg.csl.sri.com/
[44] KNOWS (Kognitiv Networking Over White Spaces)
[45] http://ieeexplore.iee.org/Xplore/login.jsp?url=/stamp/stamp.jsp?arnumber=01273768
[46] Kuroda Masahiro, Ishizu Kentaro, “A Study of Radio-Information Services for Networks of Cognitive Radios”, http://www.winlab.rutgers.edu/~wenyuan/sdr07/papers/Kuroda_SDR.pdf
[47] Kuroda Masahiro, Ishizu Kentaro, “A Study of Radio-Information Services for Networks of Cognitive Radios”, http://www.winlab.rutgers.edu/~wenyuan/sdr07/papers/Kuroda_SDR.pdf
[48] Kuroda Masahiro, Ishizu Kentaro, “A Study of Radio-Information Services for Networks of Cognitive Radios”, http://www.winlab.rutgers.edu/~wenyuan/sdr07/papers/Kuroda_SDR.pdf
[49] Cognitive Radio Networks Interference Cancelation and Management Techniques
[50] Oficom. (2006 Apr.). A study into the application of interference cancellation techniques [Online]. Rep. 72/06/R/037/U. Available: http://www.ofcom.org.uk/research/technology/research/emer_tech/intcx/summary.pdf
[51] IEEE Spectrum_ Radios With Micromachined Resonators
[52] Minden, G.J.; Evans, J.B.; Searl, L.S.; DePardo, D.; Rajbanshi, R.; Guffey, J.; Qi Chen; Newman, T.R.; Petty, V.R.; Weidling, F.; Peck, M.; Cordill, B.; Datla, D.; Barker, B.; Agah, A.; “An Agile Radio for Wireless Innovation”, IEEE Communications Magazine, Vol. 45.
[53]http://www.ettus.com/downloads/ettus_ds_usrp_v7.pdf
[54] Tools & Toys: Hardware for your Software Radio.
[55] Minden, G.J.; Evans, J.B.; Searl, L.S.; DePardo, D.; Rajbanshi, R.; Guffey, J.; Qi Chen; Newman, T.R.; Petty, V.R.; Weidling, F.; Peck, M.; Cordill, B.; Datla, D.; Barker, B.; Agah, A.; “An Agile Radio for Wireless Innovation”, IEEE Communications Magazine, Vol. 45.
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