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The paper addresses the issue of the Electromagnetic Environment Situational Awareness techniques. The main focus is put on sensing and the Radio Environment Map. These two dynamic techniques are described in detail. The Radio Environment Map is considered the essential part of the spectrum management system. It is described how the density and deployment of sensors affect the quality of maps and it is analyzed which methods are the most suitable for map construction. Additionally, the paper characterizes several sensing methods.
Rocznik
Tom
Strony
665--670
Opis fizyczny
Bibliogr. 74 poz., rys.
Twórcy
autor
- Military Communication Institute, Department of Radiocommunications and Electronic Warfare, Warszawska 22A St., 05-130 Zegrze, Poland
autor
- Military Communication Institute, Department of Radiocommunications and Electronic Warfare, Warszawska 22A St., 05-130 Zegrze, Poland
autor
- Military Communication Institute, Department of Radiocommunications and Electronic Warfare, Warszawska 22A St., 05-130 Zegrze, Poland
autor
- Military Communication Institute, Department of Radiocommunications and Electronic Warfare, Warszawska 22A St., 05-130 Zegrze, Poland
autor
- Military Communication Institute, Department of Radiocommunications and Electronic Warfare, Warszawska 22A St., 05-130 Zegrze, Poland
Bibliografia
- [1] J. Mitola III, “Cognitive Radio, An Integrated Agent Architecture for Software Defined Radio, Dissertation, Royal Institute of Technology,” Sweden, 2000.
- [2] P. Pawelczak et al., “Cognitive Radio: Ten years of Experimentation and Development,” IEEE Communications Magazine, vol. 49, no. 3, March 2011.
- [3] J. Hoffmeyer et al., “Definitions and Concepts for Dynamic Spectrum Access: Terminology Relating to Emerging Wireless Networks, System Functionality and Spectrum Management,” IEEE 1900.1-2008, Oct. 2, 2008.
- [4] Federal Communication Commission “Notice of proposed rulemaking and order: Facilitating opportunities for flexible, efficient and reliable spectrum use employing cognitive radio technologies”, ET Docket no. 03-108, Febr. 2005.
- [5] http://www.sdrforum.org/pages/documentLibrary/documents/SDRF-06-R-0011-VI_0_0.pdf.
- [6] H. Bogucka, “Technologie Radia Kognitywnego,” PWN 2013.
- [7] D. Gurney, G. Buchwald, L. Ecklund, S. Kuffner, J. Grosspietsch, “Geo-location Database Techniques for Incubent Protection in TV White Space,” 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN 2008.
- [8] J. Ojaniemi, “Effect of geolocation database update algorithms to the use of TV white spaces,” 7th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), Stockholm, Sweden 2012. DOI: 10.4108/icst.crowncom.2012.248436.
- [9] ECC Report 159, “Technical and Operational Requirements for the Possible Operational of Cognitive Radio Systems in the “White Spaces” of the Frequency Band 470 – 790 MHz,” Cardiff, 2011.
- [10] M. Suchanski, P. Gajewski, J. Lopatka, P. Kaniewski, R. Matyszkiel, and M. Kustra, “Coordinated Dynamic Spectrum Management in Legacy Military Communication Systems”, Wireless Innovation Forum European Conference WinnComm-Europe 2016, 11-12 October 2016, Paris, France.
- [11] M. Suchanski, R. Matyszkiel, P. Kaniewski, M. Kustra, P. Gajewski, and J. Lopatka, “Dynamic Spectrum Management as an Anti-Interference Method”, Proceedings of SPIE Vol. 10418 (SPIE, Bellingham, WA, 2017), 2269288, ISSN: 0277-786X, ISSN: 1996-756X (electronic), DOI 10.1117/12.2269294, April 20, 2017.
- [12] B. Scheers, “Introduction of Dynamic Spectrum Access technology in NATO Europe tactical communications”, 2013 IEEE Military Communications Conference, DOI 10.1109/MILCOM.2013.131.
- [13] O. Sallent, J. Perez-Romero, R. Agusti, P. Cordier, “Cognitive Pilot Channel Enabling Spectrum Awareness,” IEEE International Conference on Communications Workshops, Drezno, Germany 2009.
- [14] A. Ghasemi, E. S. Sousa, “Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs,” IEEE Communications Magazine, vol. 46, no. 4, pp. 32–39, 2008.
- [15] S. Haykin, DJ Thomson, J.H. Reed, “Spectrum sensing for cognitive radio,” Proc IEEE. 97(5), 849–877 (2010).
- [16] J. Ma, GY Li, BH Juang, “Signal processing in cognitive radio,” Proc IEEE, vol. 97, no. 5, pp. 805–823, 2010.
- [17] E. Axell, G. Leus, E. Larsson, H. Poor, “Spectrum sensing for cognitive radio: State-of-the-art and recent advances,” IEEE Signal Processing Magazine, 2012.
- [18] N. Radhi, H.S. AL-Raweshidy, “Performance of Spectrum Sensing Methods for UWB-CR System for Detecting Primary Signal in AWGN and fading channel,” Journal of Communication and Computer (JCC) , vol. 8, no. 5, pp. 1-6, USA 2011.
- [19] V. V. Veeravalli, J. Unnikrishnan, “Cooperative spectrum sensing for primary detection in cognitive radios,” IEEE Journal on Selected Topics in Signal Processing, vol. 2, no. 1, pp. 18-27, 2008.
- [20] K Letaief, W. Zhang, “Cooperative Communications for Cognitive Radio Networks,” Proceedings of the IEEE, vol. 97, no. 5, pp. 878-893, 2009.
- [21] Z. Quan, S. Cui, H. V. Poor, A. Sayed, “Collaborative wideband sensing for cognitive radios,” IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 60-73, 2008.
- [22] R. Karthickeyan, R. Vadivelu, “Cooperative Spectrum Sensing and Decision Making Rules for Cognitive Radio,” International Journal of Innovative Research in Science, Engineering and Technology, no. 3, 2014.
- [23] I. F. Akyildiz, B. F. Lo, R. Balakrishnan, “Cooperative spectrum sensing in cognitive radio networks: A survey,” Physical Communication, vol. 4, no. 1, 2011.
- [24] A. Ghasemi, E. S. Sousa, “Collaborative spectrum sensing for opportunistic access in fading environments,” Proc. IEEE Int. Symp. New Frontiers Dyn. Spectrum Access Netw., pp. 131–136, Baltimore, USA 2005.
- [25] E. C. Y. Peh, Y. C. Liang, Y. L. Guan, Y. Zeng, “Optimization of cooperative sensing in cognitive radio networks: A sensing-throughput tradeoff view,” IEEE Trans. Veh. Technol., vol. 58, no. 9, pp. 5294–5299, 2009.
- [26] R. Fan, H. Jiang, A. H. Sayed, “Optimal multi-channel cooperative sensing in cognitive radio networks,” IEEE Transactions Wireless Communication, vol. 9, no 3, pp. 1128–1138, 2010.
- [27] D. Reddy, Y. Ravinder, “Evaluation of cooperative sensing for perfect reporting channels using dynamic detection threshold,” IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT), Rajarshi Shahu College of Engineering, Pune India 2016.
- [28] W. Saad, Z. Han, T. Basar, M. Debbah, A. Hjorungnes, “Coalition formation games for collaborative spectrum sensing,” IEEE Trans. Vehicle Technol., vol. 60, no. 1, pp. 276–297, 2011.
- [29] W. Wang, B. Kasiri, C. Jun, A. S. Alfa, “Distributed cooperative multi-channel spectrum sensing based on dynamic coalitional game,” Proc. IEEE Global Telecommun. Conf., pp. 1-5, Miami, USA, 2010.
- [30] B. Aygun, A. M. Wyglinski, “A Voting-Based Distributed Cooperative Spectrum Sensing Strategy for Connected Vehicles,” IEEE Transactions on Vehicular Technology, vol. 66, no. 6, 2017.
- [31] G. Ganesan, Y. Li, “Cooperative spectrum sensing in cognitive radio part I: Two User networks,” IEEE Transactions on Wireless Communication, vol. 6, no. 6, pp. 2204–2213, 2007.
- [32] G. Ganesan, Y. Li, “Cooperative spectrum sensing in cognitive radio part II: Multiuser networks,” IEEE Transactions on Wireless Communication, vol. 6, no. 6, pp. 2214–2222, 2007.
- [33] H. B. Yilmaz, T. Tugcu, F. Alagöz, and S. Bayhan, “Radio Environment Map as Enabler for Practical Cognitive Radio Networks” IEEE Communications Magazine, vol. 51, Iss. 12, pp.162-169, 2013. DOI: 10.1109/MCOM.2013.66857729.
- [34] M. Pesko, T. Javornik, A. Košir, M. Štular, and M. Mohorčič, “Radio environment maps: The survey of construction methods”, KSII Transactions on Internet and Information Systems, vol. 8, no. 11, December 2014, http://dx.doi.org/10.3837/tiis.2014.11.008.
- [35] Y. Hu, R. Zhang, “Secure crowdsourced radio environment map construction,” IEEE 25th International Conference on Network Protocols (ICNP), pp. 1-10, 2017, DOI 10.1109/ICNP.2017.8117556.
- [36] M. Suchanski, P. Kaniewski, J. Romanik, E. Golan, “Radio Environment Map to Support Frequency Allocation in Military Communications Systems” Baltic URSI Symposium, May 15-17, Poznan, Poland 2018. DOI 10.23919/URSI.2018.8406717.
- [37] S. Ureten, A. Yongacoglu, and E. Petriu, “A comparison of Interference Cartography Generation Techniques in Cognitive Radio Networks”, IEEE International Conference on Communications, pp. 1879-83, 2012.
- [38] H. B. Yilmaz, Ch.-B. Chae, T. Tugcu, “Sensor Placement Algorithm for Radio Environment Map Construction in Cognitive Radio Networks,” IEEE Wireless Communications and Networking Conference (WCNC), pp. 2096-2101, 2014.
- [39] M. Suchanski, P. Kaniewski, J. Romanik, E. Golan, K. Zubel, „Radio Environment Maps for Military Cognitive Networks: Deployment of Sensors vs. Map Quality,” International Conference on Military Communications and Information Systems (ICMCIS), Budva, Montenegro 2019, in press in IEEE Xplore.
- [40] M. Suchanski, P. Kaniewski, J. Romanik, E. Golan, K. Zubel, “Radio Environment Maps for military cognitive networks: density of sensor network vs. map quality,” In: Kliks A. et al. (eds) Cognitive Radio-Oriented Wireless Networks. CrownCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 291. Springer, Cham, DOI: 10.1007/978-3-030-25748-4_15.
- [41] C. Phillips, M. Ton, D. Sicker, D. Grunwald, “Practical radio environment mapping with geostatistics,” IEEE International Symposium on Dynamic Spectrum Access Networks, pp. 422-433, 2012.
- [42] K. Kosmowski and J. Romanik, “Hybrid Method of the Radio Environment Map Construction to Increase Spectrum Awareness of Cognitive Radios”, 15th International Conference on Dependability of Computer Systems DepCoS 2020, in press.
- [43] M. Patino, F. Vega, “Model for Measurement of Radio Environment Maps and location of White Spaces for Cognitive Radio Deployment,” IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (2018). DOI: 10.1109/APWC.2018. 8503755.
- [44] D. Mao, W. Shao, Z. Qian, H. Xue, X. Lu, H. Wu, “Constructing accurate Radio Environment Maps with Kriging Interpolation in Cognitive Radio Networks,” (CSQRWC2018) Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, 2018. DOI: 10.1109/CSQRWC.2018.8455448.
- [45] D. Cabric, A. Tkachenko, R. Brodersen, “Spectrum sensing measurements of pilot, energy, and collaborative detection,” Proc. IEEE Military Commun. Conf., pp. 1-7, USA, 2006.
- [46] D. Datla, R. Rajbanshi, A. M. Wyglinski, G. J. Minden, “Parametric adaptive spectrum sensing framework for dynamic spectrum access networks,” Proc. IEEE Int. Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 482–485, Dublin, Ireland, 2007.
- [47] M. Abdulsattar, Z. Hussein, “Energy detection technique for spectrum sensing in cognitive radio: a survey,” Intern. Journal of Computer and Comm., nr 4, 2012.
- [48] L. Claudino, T. Abrao, “Spectrum Sensing Methods for Cognitive Radio Networks: A Review,” Wireless Personal Communications: An Intern. Journal, vol. 95, no. 4, 2017. DOI 10.1007/s11277-017-4143-1.
- [49] D. Cabric, A. Tkachenko, R. Brodersen, “Experimental study of spectrum sensing based on energy detection and network cooperation,” Proc. of the ACM Intern. Workshop on Technology and Policy for Accessing Spectrum, 2006.
- [50] Y. H. Zeng, Y.-C. Liang, “Spectrum-sensing algorithms for cognitive radio based on statistical covariances,” IEEE Transactions on Vehicular Technology, vol. 58, no. 4, pp. 1804-1815, 2009.
- [51] D. Simunic, T.S. Dhope, “Hybrid Detection Method for Spectrum Sensing in Cognitive Radio,” MIPRO, Opatija, Croatia 2012.
- [52] Y. H. Zeng, Y.-C. Liang, “Covariance based signal detections for cognitive radio,” DYSPAN07, pp.202-207, Ireland 2007.
- [53] Y. Zeng , Y.-C. Liang, A. T. Hoang, R. Zhang, “Review on spectrum Sensing for cognitive radio: Challenges and Solutions,” EURASIP Journal on Advances in Signal Processing, pp. 1-15, 2010.
- [54] Y. Zeng , Y.-C. Liang, “Eigenvalue-based spectrum sensing algorithms for cognitive radio,” IEEE Transactions on Communications, vol. 57, no. 6, pp. 1784-1793, 2009.
- [55] A. Fehske, J. Gaeddert, J. Reed, “A new approach to signal classification using spectral correlation and neural networks,” IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, Maryland, USA, pp. 144–150, 2005.
- [56] U. Gardner, WA, Exploitation of spectral redundancy in cyclostationary signals, IEEE Signal Processing Mag., t. 8, nr 2, str. 14–36, 1991.
- [57] M. Öner, F. Jondral, “Cyclostationarity based air interface recognition for software radio systems,” Proc. IEEE Radio and Wireless Conf., Atlanta, Georgia, USA 2004.
- [58] K. Kim, I. A. Akbar, K. K. Bae, J.-S. Um, C. M. Spooner, J. H. Reed, “Cyclostationary approaches to signal detection and classification in cognitive radio,” Proc. IEEE Int. Symposium on New Frontiers in Dynamic Spectrum Access Networks, Dublin, Ireland 2007.
- [59] P. Sutton, K. Nolan, L. Doyle, “Cyclostationary Signatures in Practical Cognitive Radio Applications,” IEEE JSAC, vol. 26, no. 1, pp. 13–24, 2008.
- [60] J. G. Proakis, “Digital Communications,” 4th ed. McGraw-Hill, New York 2001.
- [61] T. Yücek, H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Comm. Surveys and Tutorials, vol. 11, no. 1, pp. 116–130, 2009.
- [62] A. Ghasemi, E. S. Sousa, “Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs,” IEEE Communications Magazine, vol. 46, no. 4, pp. 32–39, 2008.
- [63] R. Tandra, A. Sahai, “Fundamental limits on detection in low SNR under noise uncertainty,” Proc. IEEE International Conference Wireless Networks, Communications and Mobile Computing, str. 464–469, Maui, HI, USA 2005. DOI: 10.1109/WIRLES.2005. 1549453.
- [64] D. Cabric, S. Mishra, R. Brodersen, “Implementation issues in spectrum sensing for cognitive radios,” Proc. Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 772–776 Pacific Grove, California, USA, 2004.
- [65] Z. Tian, G. B. Giannakis, “A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios,” 1st International Conf. on Cognitive Radio Oriented Wireless Networks and Communications, 2006.
- [66] L. Ma, A. Demir, “Matched Filtering Assisted Energy Detection for Sensing Weak Primary User Signals,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012.
- [67] Z. Khalaf, A. Nafkha, J. Palicot, M. Ghozzi, “Hybrid Spectrum Sensing Architecture for Cognitive Radio Equipment,” Sixth Advanced International Conference on Telecommunications, Spain 2010.
- [68] A. Nafkha, M. Naoues, K. Cichoń, A. Kliks, B. Aziz, “Hybrid spectrum sensing experimental analysis using GNU radio and USRP for cognitive radio,” International Symposium on Wireless Communication Systems (ISWCS), Belgium 2015.
- [69] W. Ejaz, N. Hasan, S. Lee, H. S. Kim, “I3S: Intelligent spectrum sensing scheme for cognitive radio networks,” EURASIP Journal on Wireless Communications and Networking, 2013.
- [70] J. Nikonowicz, P. Kubczak, Ł. Matuszewski, “Hybrid detection based on energy and entropy analysis as a novel approach for spectrum sensing,” International Conference On Signals And Electronic Systems (ICSES), Cracow, Poland 2016.
- [71] M. Kustra, “Hybrid sensing methods in mobile ad-hoc networks (in polish),” PhD thesis, Military Academy of Technology, Poland 2019.
- [72] M. Kustra, K. Kosmowski, M. Suchański, “Performance of Hybrid Sensing Method in Multipath Fading Environment,” Baltic URSI Symposium, Poland 2018. DOI: 10.23919/URSI.2018.8406691.
- [73] M. Kustra, K. Kosmowski, M. Suchański, “Hybrid sensing method of real OFDM signal,” International Conference on Military Communications and Information Systems (ICMCIS), Warsaw, Poland 2018. DOI: 10.1109/ICMCIS.2018.8398710.
- [74] A. Sahai, D. Cabric, “Spectrum sensing: fundamental limits and practical challenges,” Proc. of the IEEE Intern. Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 546-551, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-063480a3-970a-4e42-9f6b-031bdbf6764d