Radio Environment Map for the Cognitive Radio Network Simulator

• Autorzy: Bednarek P. , Bicki D. , Lopatka J.

Identyfikatory

DOI

10.24425/118145

• Języki publikacji: EN

Abstrakty

EN

Military wireless tactical systems has faced the problem of limited spectrum resources. This is a reason why Cognitive Radio (CR) is one of the most popular topic studied by research institutes in the field of mobile telecommunications. CR technology is based on cognitive cycle, used for making decisions based on observation and orientation. To support this activity, radios need also information on current position, electromagnetic situation, legal issues etc. These functions can be provided by Radio Environment Map (REM) database. It enables more flexible spectrum utilization and coexistence of Primary and Secondary Users (PUs, SUs) without harmful interferences. This paper presents a proposal of REM database structure and graphical user interface (GUI). It also describes GUI implementation in MATLAB and data structure. Database was implemented using the database engine - SQLite. The proposed REM database is a part of cognitive radio network simulator developed in the Institute of Telecommunications.

Słowa kluczowe

EN

cognitive radio; radio environment maps; REM database; G-REM; L-REM

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2018
• Tom: Vol. 64, No. 1
• Strony: 45--49
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Bednarek P.

• Military University of Technology, Poland

autor

Bicki D.

• Military University of Technology, Poland

autor

Lopatka J.

• Military University of Technology, Poland

Bibliografia

• [1] R. Singh, J. Singh, A.S. Kang ”Cognitive Radio New Dimension in Wireless Communication - State of Art“ International Journal of Computer Applications (0975 - 8887), Volume 74 - No. 10, July, 2013.
• [2] A. Kosir, M. Pesko, M. Štular, M. Mohorcic “Radio Environment Maps: The Survey of Construction Methods” KSII Transaction on internet and information system, Dec, 2014.
• [3] S. Couturier, J. Krygier, O. Bentstuen, V. Le Nir, “Challenges for Network Aspects of Cognitive Radio”, ICMCIS, Cracow, Poland, May, 2015.
• [4] Y. Zhao: “Enabling Cognitive Radios through Radio Environment Maps”, PhD Thesis, Virginia Tech, May 2007.
• [5] G. Szmit, J. Dołowski, J. Łopatka, “Distributed channel selection for hierarchical cognitive radio networks”, MILCOM 2015 - 2015 IEEE Military Communications Conference, Tampa USA, Oct, 2015.
• [6] G. Szmit, J. Dołowski, J. Łopatka, “Performance of distributed channel selection for cognitive MANET in the presence of intentional jamming”, 2016 International Conference on Military Communications and Information Systems (ICMCIS), Brussels, Belgium, May, 2016.
• [7] M. Amanowicz, J. Glowacka, K. Parobczak, J.Krygier “Trust-based Information Assurance Mechanism for Military Mobile Ad-hoc Networks”, 20th International Conference on Microwaves, Radar, and Wireless Communication (MIKON), Gdansk, Poland, Jun, 2014.
• [8] J. Glowacka, J.Krygier, M. Amanowicz, “A Trust-Based Situation Awareness System for Military Applications of the Internet of Things”, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), Milan, Italy, Dec, 2015.
• [9] P. Skokowski, K. Malon, J. M. Kelner, J. Dolowski, J. Lopatka, P. Gajewski: „Adaptive channels' selection for hierarchical cluster based cognitive radio networks”, 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS), Dec, 2014.
• [10] L. Iacobelli, P. Fouillot, C. J. Le Martret: “Radio Environment Map Based Architecture and Protocols for Mobile Ad Hoc Networks”, The 11th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net), 2012.
• [11] http://labrosa.ee.columbia.edu/millionsong/pages/sqlite-interfaces-python-and-matlab

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).