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From Electrons to Oceans: Innovation at Many Scales
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May 3-6, 2009
Delta St. John's
St. John's
Newfoundland and Labrador, Canada
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Tutorial TP1: Advanced Techniques for Spectrum Sensing and Awareness in Cognitive Radio Systems
Location: TBA
Presenters: Octavia Dobre
Motivation and Objective
Radio spectrum is a valuable and scarce resource with constantly increasing demands. The spectrum usage measurements obtained by the Federal Communication
Commission spectrum policy task force have shown that utilization of the spectrum ranges from 15 % to 85 %, depending on the population density of a region [1]. This has led to the idea of opening the licensed spectrum to be exploited by unlicensed users, which need to be able to determine which bands of the spectrum are notutilized by primary users, and exploit these bands on the fly. A promising solution is provided by cognitive radio (CR). This is defined as an intelligent wireless communication system which is capable of sensing and adapting to its radio frequency environment [2]. The CR has to be spectrum aware in order to exploit the available spectrum efficiently. This half-day tutorial will provide the audience with an overview of different spectrum sensing and awareness techniques, with the emphasis on the exploitation of signal cyclostationarity to fulfil this crucial task of a CR.
Outline
This tutorial addresses a fundamental problem of cognitive radio systems, which is spectrum sensing and awareness. Detection and classification of very weak signals have to be reliably done within a minimum time, and with relaxed information on signal parameters being detected. This key functionality allows the cognitive radios to adapt to changes in their environment. Diverse spectrum sensing and awareness techniques will be classified, and the cyclostationarity-based method presented in details. Cyclostationarity of diverse signals will be introduced and discriminating features for signal detection and classification discussed. Advantages and drawbacks of the cyclostationarity based method will be emphasized. The exploitation of the spatial dimension for spectrum sensing and awareness through antenna array architectures will be also addressed. The talk will conclude by highlighting open research problems.
Brief Outline:
- Introducing Cognitive Radio
- Spectrum Sensing and Awareness Techniques
- Signal Cyclostationarity for Spectrum Sensing and Awareness
- Summary, Conclusions, and Open Research Problems
Intended Audience
This tutorial is of prime interest to graduate students, researchers and individuals working for industry, government, military, and science and technology institutions, who would like to learn more about spectrum sensing and awareness techniques for cognitive radio systems.
Major References
[1]Federal Communications Commission, "Spectrum policy task force," ET Docket No. 02-155, Nov. 2002.
[2] S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE J. Select. Areas Commun., vol. 23, pp. 201-220, 2005.
[3] D. Cabric, "Cognitive radios: system design perspective," Ph.D. thesis, University of California, Berkeley, 2007.
[4] O. A. Dobre, A. Abdi, Y. Bar-Ness, and W. Su, "A survey of automatic modulation classification techniques: classical approaches and new trends," IET Commun., vol. 1, pp. 137-156, April 2007.
[5] A. Huseyin, Cognitive radio, software defined radio, and adaptive wireless systems. Springer, 2007.
[6] V. Bhargava, Cognitve wireless communication networks. Springer, 2007.
[7] W. A Gardner, "Signal interception: a unifying theoretical framework for feature detection," IEEE Trans. Comm., vol. 36, pp. 896-906, Aug. 1988.
[8] K. Kim, I. A. Akbar, K. K. Bae, J. Urn, C. M. Spooner, and J. H. Reed, "Cyclostationary approaches to signal detection and classification in cognitive radio," in Proc. IEEE DySPAN, 2007, pp. 212-215.
[9] K. Kim, C. M. Spooner, I. Akbar, and J. H. Reed, "Specific emitter identification for cognitive radio with application to IEEE 802.11," in Proc. IEEE GLOBECOM, 2008, pp. 1-5.
[10] M. Oner and F. Jondral, "On the extraction of the channel allocation information in spectrum pooling system," IEEE Trans. Selected Areas in Communication, vol. 25, pp. 558-565, 2007.
[11] O. A. Dobre, S. Rajan, and R. Inkol, "Exploitation of first-order cyclostationarity for joint signal detection and classification in cognitive radio," in Proc. IEEE VTC, 2008, pp. 1-5.
[12] A. Punchihewa, O. A. Dobre, S. Rajan, and R. Inkol, "Cyclostationarity-based algorithm for blind recognition of OFDM and single carrier linear digital modulations," in Proc. IEEE PIMRC, 2007, pp. 1-5.
[13] D. Falconer, S. L. Ariyavisitakul, A. Benyamin-Seeya, and B. Eidson, "Frequency domain equalization for single carrier broadband wireless systems," IEEE Commun. Mag., vol. 40, pp. 58-66, Apr. 2002.
[14] H. Sari, G. Karam, and I. Jeanclaude, "Transmission techniques for digital terrestrial TV broadcasting," IEEE Commun. Mag., vol. 33, pp. 100-109, Feb. 1995.
[15] B. Devillers, J. Louveaux and L. Vandendorpe, "Exploiting cyclic prefix for performance improvement in single carrier systems," in Proc. SPAWC, 2006, pp. 1-5.
[16] O. A. Dobre, Q. Zhang, S. Rajan, and R. Inkol, "Second-order cyclostationarity of cyclically prefixed single carrier linear digital modulations with applications to signal recognition," in Proc. IEEE GLOBECOM, 2008, pp. 1-5.
[17] A. V. Dandawate and G. B. Giannakis, "Statistical test for presence of cyclostationarity," IEEE Trans. Sig. Proc., vol. 42, pp. 2355-2369, Sept. 1994.
Supplementary Materials
Available upon request.
Tutorial Level
Intermediate to advanced.
Biographical Sketch
Octavia A. Dobre received the D. Eng. and Ph. D. degrees in Electrical Engineering from the Polytechnic University of Bucharest (PUB), Romania, in 1991 and 2000, respectively. During her Ph. D. studies, she was with the Department of Remote Control and Electronics in Transports, PUB. Between 1998 and 2001 she was an Assistant Professor within the same department. In 2000 she was the recipient of a British Royal Society fellowship. In 2001 she joined the Wireless Information Systems Engineering Laboratory (WISELAB) at Stevens Institute of Technology in Hoboken, NJ, as a Fulbright fellow. Between 2002 and 2005, she was with the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT) in Newark, NJ, as a Research Associate, where she was workingon a contract for Communications and Electronics Command (CECOM), NJ. Currently, she is an Assistant Professor with the Faculty of Engineering and Applied Science at Memorial University of Newfoundland, Canada. Her current research interests include blind modulation classification and parameter estimation, cognitive radio, multiple antenna systems, multicarrier modulation techniques, cyclostationarity applications in communications and signal processing, and resource allocation in emerging wireless networks.
She has published over 30 refereed technical papers in the above research areas, served on the Technical Program and Organizing Committees of a number of IEEE conferences, such as ICC 2005 and WCNC 2008, and CCECE 2009, respectively, and gave a number of invited talks to academia and industry, including Illinois Institute of Technology and Drexel University, US, and Communications Research Center and TenXc Wireless, Canada. She also gave a number of technical tutorial presentations on the topic related to this proposal, such as at the IEEE 2008 Sarnoff Symposium and invited by the IEEE Ottawa Section, also in 2008.
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22nd Canadian Conference on Electrical and Computer Engineering
