I.V. Zaitsev – Ph.D. (Eng.), Associate Professor, Head of Department – Deputy Head of an Administration of MESC AF «N.E. Zhukovsky and Y.A. Gagarin Air Force Academy» (Voronezh)
А.А. Molev – Adjunct, MESC AF «N.E. Zhukovsky and Y.A. Gagarin Air Force Academy» (Voronezh)
The article analyzes the principles of the work of cognitive communication systems and determines the key elements involved in the transmission of major part of the traffic and which have the most significant effect on the functioning of the communication system. Elements of the communication system, which play the role of key, are considered: the support nodes that form the basis of the communication network, which are also the centers of clusters (local peer-to-peer networks), trunk lines (formed, including using repeaters), interconnecting individual networks in remote other areas or used within the same area to reduce the overall network load, separate radio networks (clusters), which are a set of radio stations connected to each other directly or through a support node which are compactly located within the communication range of typical broadband data transmission radios. As an indicator characterizing the performance of the communication system achieved in the course of functioning, taking into account the possibilities for routing data and adapting to the signal-interference environment, the value of the realized capacity of the communication system as a whole is used, which is calculated as the ratio of the total volume of successfully transmitted messages to the duration of communication system operation.
An estimation of the decrease in the capacity of the communication system was made, depending on the type and number of blocked key elements.
It is shown that cognitive communication systems have high resistance to jamming due to adaptation to the signal-noise environment – the use of cognitive properties (primarily adaptation by frequency bands and signal forms) allows to increase the throughput from 1,5 to 4 times. The key elements of the cognitive communication system that make the greatest contribution to the transmitted traffic are at the same time the most vulnerable links, with the blocking of which the throughput of the entire system can drastically decrease. The use of adaptation measures by the waveform and data rate within the collective radio channel of the cluster leads to a high vulnerability of the cognitive communication system – the effect of interference on individual subscribers of the radio network can lead to a forced decrease in the throughput of the entire cluster. The obtained results can be used to conduct research on the analysis of the features of the construction and algorithms of the functioning of cognitive radio communication systems in conditions of jamming from various sources.
- Kucherjavyj A.E., Prokop'ev A.V., Kucherjavyj E.A. Samoorganizujushhiesja seti. SPb.: Ljubavich. 2011.
- Fette B. Fourteen Years of Cognitive Radio Development // IEEE Military Communications Conference (MILCOM 2013), San Diego. CA. 2013. P. 1166–1175.
- Gur'janov I.O. Kognitivnoe radio: novye podhody k obespecheniju radiochastotnym resursom perspektivnyh radiotehnologij // Jelektrosvjaz'. 2012. № 8. S. 5–8.
- Plavunov S., Nosikov S. Sistemy i sredstva svjazi takticheskogo zvena upravlenija suhoputnyh vojsk SShA // Zarubezhnoe voennoe obozrenie. 2012. № 4. S. 42–47.
- Warfighter Information Network-Tactical. Commander’s Handbook v1.6. // General Dynamics. 2011.
- Proskurjakov V. Kognitivnye radiosistemy v setjah takticheskogo naznachenija // Jelektronnye komponenty. 2014. № 3. S. 36–38.
- Miroshnikova N.E. Obzor sistem kognitivnogo radio // Tehnologii informacionnogo obshhestva. 2013. № 9. S. 108–111.
- Fette B. Cognitive Radio Technology. 2n ed. / Elsevier. 2009.
- Oshmarin D.V. Dinamicheskoe raspredelenie spektra v besprovodnyh setjah sledujushhego pokolenija // Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo. 2010. № 4. S. 158–164.
- Liu K.J.R., Wang B. Cognitive Radio Networking and Security / A Game-Theoretic View. Cambridge University Press. 2011.
- Mourougayane K., Srikanth S. Intelligent jamming threats to Cognitive Radio based strategic communication networks – A survey // 3rd International Conference on Signal Processing, Communication and Networking (ICSCN). Chennai. 2015. P. 1–6.
- Nadendla V.S.S., Chen H., Varshney P.K. On jamming models against collaborative spectrum sensing in a simple cognitive radio network // Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers. Pacific Grove. CA. 2010. P. 961–965.
- Li X., Cadeau W. Anti-jamming performance of cognitive radio networks // 45th Annual Conference on Information Sciences and Systems. Baltimore. MD. 2011. P. 1–6.
- Buslenko N.P. Modelirovanie slozhnyh sistem. M.: Nauka. 1978.
- Vypasnjak V.I. Gural'nik A.M. Ocenka sostojanija sistemy upravlenija vojskami v hode operacii (boja) // Voennaja mysl'. 2008. № 7. S. 32–41.
- Molev A.A., Kolesnikov A.S. Modelirovanie v srede Anylogic sistem radiosvjazi, postroennyh na osnove kognitivnyh tehnologij // XV Mezhdunar. nauch.-metodich. konf. «Informatika: problemy, metodologija, tehnologii». Voronezh. VGU. 2015. T. I. S. 349–354.
- Standart IEEE 802.11. Specifikacii fizicheskogo i MAC-urovnej. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. ANSI/IEEE 802.11-2012.
- Standart IEEE 802.22. Cognitive Wireless RAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Policies and Procedures for Operation in the TV Bands. ANSI/IEEE 802.22-2011.
- Standart ECMA-392. Izd. 2-e. MAC and PHY for Operation in TV White Space. ECMA International. Zheneva. 2012.