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Performance Analysis of the Cognitive Radio Network with Opportunistic Spectrum Access

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EN
Abstrakty
EN
Efficient access to the spectral resources becomes a challenge for future military wireless communication systems. It requires spectral situation awareness, knowledge of current regulations, local policies and hardware platform limitations. It can be achieved by cognitive radios, realizing cognitive cycle, consisting typically of continuous observation, orientation, reasoning and decision making. All these elements must be realized in parallel and shouldn't interfere with each other. Even more difficult issue is related with cooperation between different nodes, especially in wireless domain, in harsh propagation conditions. Unpredictable phenomena create hard conditions for all deterministic behavior models, and their reproduction is a key element for efficient operation of the network. Very popular computer simulations are always simplified, and real time implementation gives an opportunity to make the next step in system elaboration. This paper presents a real-time demonstrator of cognitive radio network. It can work both in wired mode, using radio channel emulator and in mobile mode, to verify influence of real conditions on proposed cognitive solutions and assess their effectiveness.
Twórcy
  • Institute of Telecommunications, Faculty of Electronics Military University of Technology, Warsaw, Poland
  • Institute of Telecommunications, Faculty of Electronics Military University of Technology, Warsaw, Poland
autor
  • Institute of Telecommunications, Faculty of Electronics Military University of Technology, Warsaw, Poland
autor
  • Institute of Telecommunications, Faculty of Electronics Military University of Technology, Warsaw, Poland
autor
  • Institute of Telecommunications, Faculty of Electronics Military University of Technology, Warsaw, Poland
autor
  • Institute of Telecommunications, Faculty of Electronics Military University of Technology, Warsaw, Poland
Bibliografia
  • [1] J. Mitola, G. Q. Maguire, “Cognitive radio: making software radios more personal”, IEEE Personal Communications, 6, pp. 13 - 18, 1999.
  • [2] J. Palicot, J. Mitola, Z. Lei, F. K. Jondral, “Special issue on 10 years of cognitive radio: state-of-the-art and perspectives”, EURASIP Journal on Wireless Communications and Networking, 2012, 2012:214.
  • [3] W. Jouini, Ch. Moy, J. Palicot, “Decision making for cognitive radio equipment: analysis of the first 10 years of exploration”, EURASIP Journal on Wireless Communications and Networking, 2012, 2012:26.
  • [4] L. Gavrilovska, V. Atanasovski, I. Macaluso, L. A. DaSilva, “Learning and reasoning in cognitive radio networks”, IEEE Communications Surveys & Tutorials, 15(2013), 1761 - 1777.
  • [5] C. Clancy, J. Hecker, E. Stuntebeck, T. O'Shea, “Applications of machine learning to cognitive radio networks”, IEEE Wireless Communications, 14(2007), 47 - 52.
  • [6] M. Song, C. Xin, Y. Zhao, X. Cheng, “Dynamic spectrum access: from cognitive radio to network radio”, IEEE Wireless Communications, 19, pp. 23 - 29, 2012.
  • [7] P. S. M Tripathi, A. Chandra, A. Kumar, K. Sridhara, “Dynamic spectrum access and cognitive radio,” 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, Chennai, 2011, pp. 1 -5.
  • [8] H. Arslan, “Cognitive radio, software defined radio, and adaptive wireless systems.” Dordrecht: Springer, 2007.
  • [9] K. Sithamparanathan, A. Giorgetti, “Cognitive Radio Techniques: Spectrum Sensing, Interference Mitigation, and Localization,” Artech House, 2012.
  • [10] T. Yücek and H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Commun. Surv. Tutor., vol. 11, no. 1, pp. 116-130, 2009.
  • [11] P. Skokowski, K. Malon, J. M. Kelner, J. Dolowski, J. Lopatka, P. Gajewski, “Adaptive channels’ selection for hierarchical cluster based cognitive radio networks,” 8th International Conference on Signal Processing and Communication Systems, Gold Coast, 2014,pp. 1 - 6.
  • [12] Wang, H., Youxin, L. and Wang, X., “Channelized Receiver with WOLA Filterbank,” CIE International Conference on Radar (2006).
  • [13] Abdulsattar, M. A. and Hussein, Z. A.,“Energy detection technique for spectrum sensing in cognitive radio: a survey,” International Journal of Computer and Communications, Vol.4, No.5, 223-241 (2012).
  • [14] M. Kryk, J. Łopatka, “Radio environment simulation using RF switch matrix for MANET tests”, Signal Processing and Communication Systems, (2014).
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-567cd62b-c471-4c34-ac63-50f575f1be7b
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