Abstract
Spectrum sensing is one of the key topics towards the implementation of future wireless services like SuperWiFi. This new wireless proposal aims at using the freed spectrum resulting from the analog-to-digital transition of TV channels for wireless data transmission (UHF TV White Spaces). The benefits range from better building penetration to longer distances when compared to the set of IEEE 802.11 standards. Nevertheless, the effective use of the available spectrum is subject to strict regulation that prohibits unlicensed users to interfere with incumbents (like wireless microphones). Cognitive Radios (CR) and dynamic spectrum allocation are suggested to cope with this problem. These techniques consist on frequency sweeps of the TV-UHF band to detect White Spaces that could be used for SuperWiFi transmissions. In this paper we develop and implement algorithms from GNURadio in the Ettus USRP-E110 to build a standalone White Spaces detector that can be consulted from a centralized location via IP networks.
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References
Shellhammer, S.J., Sadek, A.K., Zhang, W.: Technical Challenges for Cognitive Radio in the TV White Space Spectrum. In: Information Theory and Applications Workshop, pp. 323–333. IEEE (2009)
Cabric, D., Tkachenko, A., Brodersen, R.W.: Experimental Study of Spectrum Sensing based on Energy Detection and Network Cooperation. In: Proceedings of the First International Workshop on Technology and Policy for Accessing Spectrum, p. 12. ACM (2006)
Sarijari, M.A., Marwanto, A., Fisal, N., Yusof, S.K.S., Rashid, R.A., Satria, M.H.: Energy detection sensing based on GNU radio and USRP: An analysis study. In: Proceedings of the 2009 IEEE 9th Malaysia International Conference on Communications, pp. 338–342. IEEE (2009)
Kyouwoong, K., Akbar, I.A., Bae, K.K., Jung-sun, U., Spooner, C.M., Reed, J.H.: Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio. In: 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN, pp. 212–215 (2007)
Cabric, D., Tkachenko, A., Brodersen, R.W.: Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection. In: Military Communications Conference, MILCOM 2006, pp. 1–7. IEEE (2006)
Ettus Research: USRP-E110. Ettus Research LLC, https://www.ettus.com/product/details/UE110-KIT
Blossom, E.: GNU Radio: Tools for Exploring the Radio Frequency Spectrum. Linux Journal 2004, 4 (2004)
Ettus Research: USRP Hardware Driver. Ettus Research LLC, http://ettus-apps.sourcerepo.com/redmine/ettus/projects/uhd/wiki
GNURadio: USRP Spectrum Analyzer Example, http://gnuradio.org/cgit/gnuradio.git/tree/gr-uhd/examples/python/usrp_spectrum_sense.py
Sanabria, L.: Detecting TV White Spaces by Energy Detection with USRP-E110 [C/C++ code], http://github.com/SanabriaRusso/USRP-GNURadio.git
Ettus Research: WBX USRP RF Daughterboard. Ettus Research LLC, https://www.ettus.com/product/details/WBX
Ettus Research: Log Periodic PCB Antenna. Ettus Research LLC, https://www.ettus.com/product/details/LP0410
Domingo, A., Bellalta, B., Oliver, M.: White Spaces in UHF band: Catalonia case study and impact of the Digital Dividend. In: 18th EUNICE 2012 Conference on Information and Communications Technologies, Budapest (2012)
Youping, Z., Morales, L., Gaeddert, J., Bae, K.K., Jung-Sun, U., Reed, J.H.: Applying Radio Environment Maps to Cognitive Wireless Regional Area Networks, pp. 115–118. IEEE (2007)
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Sanabria-Russo, L., Barcelo, J., Domingo, A., Bellalta, B. (2012). Spectrum Sensing with USRP-E110. In: Bellalta, B., et al. Multiple Access Communications. MACOM 2012. Lecture Notes in Computer Science, vol 7642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34976-8_8
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DOI: https://doi.org/10.1007/978-3-642-34976-8_8
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