350 rub
Journal Nonlinear World №1 for 2017 г.
Article in number:
A poly-Gaussian algorithm for multielement signals discernment-decoding
Authors:
R.R. Faizullin - Dr.Sc. (Eng.), Professor, Department of Radioelectronics and Telecommunications Systems, Kazan National Research Technical University named after A.N. Tupolev E-mail: rrfayzullin@kai.ru G.I. Shcherbakov - Ph.D. (Eng.), Professor, Department of Radioelectronics and Telecommunications Systems, Kazan National Research Technical University named after A.N. Tupolev E-mail: rts@kai.ru M.M. Fatykhov - Post-graduate Student, Department of Nanotechnologies in Electronics, Kazan National Research Technical University named after A.N. Tupolev E-mail: marat.fatykhovs@gmail.com A.Y. Insarov - Applicant for a Ph.D., Kazan National Research Technical University named after A.N. Tupolev; Head of Network Planning Department, «Intis - Telecom» LLC E-mail: insarov@intistele.com
Abstract:
The growing increase of mobile subscribers and more dense base station deployment for mobile communication systems inevitably lead to poorer Quality of Service (QoS) and system capacity due to multiple access interference (MAI) and non-Gaussian behavior of signal and noise plus interference fluctuations. It is for that reason that the real efficacy of CDMA-systems in non-Gaussian channels is basically defined by possible attained perfor-mance, system capacity and computational complexity of the employed algorithms and equipment for coprocessing of random number of signals in complex noise and interference conditions. This situation is quite typical for this class of communication systems. A new approach for synthesis of combined poly-Gaussian algorithms in non-Gaussian noise is proposed. A mathematical model for multiuser detection that takes the real channel conditions is observed. The extended classification of multiuser detection algorithms is al-so proposed and finally the new poly-Gaussian quasi-optimal algorithm and the device for multiuser resolution are obtained.
Pages: 47-53
References

 

  1. Faizullin R.R, Kadushkin V.V., Vorob-ev M.S. Synthesis of poly-Gaussian quasioptimal algorithms for multiuser detection problem and non-Gaussian interference // Radio Engineering and Communication: Russian Aeronautics (Iz VUZ). 2015. V. 58. № 3. R. 345-350.
  2. Fajjzullin R.R., Kadushkin V.V., Zaripov R.F. Poligaussovyjj algoritm sovmestnojj demoduljacii-dekodirovanija v kanalakh mobilnykh sistem svjazi // Nelinejjnyjj mir. 2015. № 8. T. 13. S. 4-9.
  3. Kozlov S.V. Novye smesevye podkhody k proektirovaniju radiointerfejjsa sistem svjazi.  Kazan: OOO «Novoe znanie». 2014. 132 s.
  4. Duel-Hallen A. A Family of Multiuser Decision-Feedback Detectors for Asynchronous CDMA Channels // IEEE Transactions on Communications. 1995. № 43(2/3/4). R. 421-434.
  5. Duel-Hallen A., Holtzman J., Zvonar Z. Multi-User Detection for CDMA Systems // IEEE Pers. Commun. 1995. V. 2. № 2. R. 46-58.
  6. Andrews J.G. Interference Cancellation for Cellular Systems: A Contemporary Overview // IEEE Wireless Communications. 2005. R. 19-29.
  7. Verdu S. Multiuser Detection. Cambr. Univ. Press: Cambridge. CB2. 2RU, UK. 1998. 452 p.
  8. Juntti M. Multiuser demodulation for DS-CDMA systems in fading channels. Departament of Electrical Engeneering, Univercity of Oulu. FIN-90570. Oulu. Finland. 1998. 160 p.
  9. Fajjzullin R.R. Optimizacija parametrov QoS pri upravlenii kachestvom obsluzhivanija trafika v setjakh 3G // Infokommunikacionnye tekhnologii. 2011. T. 9. № 3. S. 37-46.
  10. CHabdarov SH.M., Trofimov A.T. Poligaussovy predstavlenija proizvolnykh pomekh i priem diskretnykh signalov // Radiotekhnika i ehlektronika. 1975. T. 20. № 4. S. 734-735.
  11. Nadeev A.F. Markovo-smeshannye poligaussovy verojatnostnye modeli sluchajjnykh processov // Telekommunikacii. 2000. № 1. S. 2-5.
  12. Chabdarov Sh.M., Faizullin R.R., Nadeev A.F. Post-correlation probabilistic models in the problem of signal discrimination for modern information and communication systems // Russian Aeronautics. 2014. V. 52. № 2. R. 175-180.
  13. Kulbak S. Teorija informacii i statistika. M.: Nauka. 1967. 408 s.