Actas de congresos
Evaluation Methodologies For Cooperative Spectrum Sensing: Towards A Real Time Performance
Registro en:
9781479913978
Sbmo/ieee Mtt-s International Microwave And Optoelectronics Conference Proceedings. , v. , n. , p. - , 2013.
10.1109/IMOC.2013.6646459
2-s2.0-84887462776
Autor
Dantas J.P.M.
Figueredo M.G.F.
De S. V.A.
Da Cruz J.H.
Institución
Resumen
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) The constant search for new spectrum sensing methodologies creates a demand for tools that enable a stronger focus on solution prototyping development. Such tools, generally based on a Software Defined Radio (SDR) platform, need to be flexible in terms of programming as well as presenting compatibility with the various SDR available on the market. In this contribution we present a comparison between real time and non-real time simulation methodologies for implementing some cooperative spectrum sensing algorithms. Tools and their results are compared aiming at demonstrating pros and cons of the evaluation methodologies. There is a clear tradeoff among development cost, simulation flexibility and execution time, specially considering the choice of prototyping methodology and the target application. © 2013 IEEE.
Microwave Theory and Techniques Society (IEEE MTT-S),Sociedade Brasileira de Micro-Ondas e Optoeletrenica (SBMO),CNPq,CAPES,FAPERJ Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Akyildiz, I.F., Lo, B.F., Balakrishnan, R., Cooperative spectrum sensing in cognitive radio networks: A survey (2011) Phys.Commun., 4 (1), pp. 40-62. , Mar Arslan, H., (2007) Cognitive Radio, Software Defined Radio, and Adaptative Wireless Systems, , Springer Zeng, Y., Liang, Y.C., Maximum-minimum eingenvalue detection for cognitive radio (2007) International Symposium on Personal, , Indoor and Mobile Radio Communications Zeng, Y., Koh, C.L., Liang, Y.C., Maximum eigenvalue detection: Theory and application (2008) International Conference on Communications Nadler, B., Penna, F., Garello, R., Performance of eigenvalue-based signal detectors with known and unknown noise level (2011) IEEE International Conference on Communications, pp. 1-5 Lim, T.J., Zhang, R., Liang, Y.C., Zeng, Y., GLRT-based spectrum sensing for cognitive radio (2008) IEEE GLOBECOM Guimaraes, D.A., Silva, C.R.N., Souza, R.A.A., Cooperative spectrum sensing using eigenvalue fusion for OFDMA and other wideband signals (2013) Journal of Sensor and Actuator Networks, 2, pp. 1-24 Lin, F., Hu, Z., Qiu, R., Wicks, M.C., A combination of quickest detection with oracle approximating shrinkage estimation (2012) Militwy Communications Conference Hou, S., Qiu, R.C., Spectrum sensing for cognitive radio using kernel-based learning (2011) Proceedings of CoRR Kortun, A., Ratnarajah, T., Sellathurai, M., Zhong, C., Papadias, C.B.A., On the performance of eigenvalue-based cooperative spectrum sensing for cognitive radio (2010) IEEE Journal of Selected Topics in Signal Processing, 5, pp. 49-55 Chen, D., Li, J., Ma, J., Spectrum sensing for cognitive radio under noise uncertainty (2008) International Conference on Wireless Communications, Networking and Mobile Computing Zayen, B., Hayar, A., Cooperative spectrum sensing technique based on sub space analysis for cognitive radio networks (2009) Cognitive Systems with Interactive Sensors Conference Buccardo, A., (2010) A Signal Detector for Cognitive Radio System, , Master's thesis, University of Gavle http://gnuradio.org/redmine/projects/gnuradio/wiki, GNU radio websiteAlvarez, P.I.P.A., (2011) Experimental Study on Spectrum Sensing for Cognitive Radio Networks, , Master's thesis, Universidade Tecnica de Lisboa Zhang, P., Qiu, R., Guo, N., Demonstration of spectrum sensing with blindly learned feature (2011) IEEE Communications Letters, 15, pp. 548-550 Teshome, A.T., (2010) FPGA Based Eigenvalue Detection Algorithm for Cognitive Radio, , Master's thesis, University of Gavle Zayen, B., Hayar, A., Dimension estimation-based spectrum sensing for cognitive radio (2012) Journal on Wireless Communications and Networking Wei, L., Tirkkonen, O., Analysis of scaled largest eigenvalue based detection for spectrum sensing (2011) IEEE International Conference on Communications http://www.mathworks.comhttp://www.python.org, Python programming language-official websiteJoshi, R., (2006) Introduction to Computers, , G.P.House, Ed.Isha Books http://www.nsnam.org, Network simulator 3http://jist.ece.comell.eduhttp://www.opnet.com, Optimized network engineering tool (OPNET)http://www.scipy.orgBudihal, R., Jamadagni, H.S., Hybrid approach to cognitive radio test bed (2009) International Conference on Ultra Modern Telecommunications & Workshops Haykin, S., (2009) Communication Systems, , Wiley Mitola, J., Software radios Survey, critical evaluation and future directions (1993) Aerospace and Electronic Systems Magazine, 8, pp. 25-36 http://www.ettus.coml, Universal software radio peripheral (USRP)Tan, K., Zhang, J., Fang, J., Liu, Y., Ye, H., Wang, S., Zhang, Y., Voelker, G., SORA: High performance software radio using general purpose multi-core processors (2011) Communications of the Association for Computing Machinery, 54, pp. 99-107 http://warp.rice.edu/, W.O.-A.R.Platform.Wireless open-access research platformDabcevic, K., (2011) Evaluation of Software Defined Radio Platform with Respect to Implementation of 802.15.4 ZigBee, , Master's thesis, Malardalen University Giordano, L.G., Reggiani, L., (2013) Vehicular Technologies-Deployment and Applications http://www.gppcom.ct.ufrn.br, Grupo de pesquisa em prototipagem rapida de solU(;6es para comunicaao-GppComhttp://www.py2exe.orgStevenson, C.R., Cordeiro, C., Sofer, E., Chouinard, G., (2005) Functional Requirements for the 802.22 WRAM Standard, , IEEE, Tech.Rep