Skip to main content

Adaptive Space-Time and Polarisation-Time Signal Processing in Mobile Communication Systems of Next Generations

  • Chapter
  • First Online:
Data-Centric Business and Applications

Abstract

The possibilities of improving electromagnetic compatibility in mobile communication systems of next generations are analysed based on application of adaptive space-time signal processing in antennas of base stations. Features of solving the problem of interference suppression in adaptive antenna arrays are considered using recurrent adaptation algorithms realized on the basis of the minimum mean square error criterion. The results of modelling adaptation of signal processing and its analysis are presented. A promising method of interference suppression using polarisation-time processing of signals using optimal stochastic control is considered.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Semenova O et al (2015) The fuzzy-controller for WiMAX networks. In: 2015 International Siberian conference on control and communications (SIBCON), Omsk, Russia, 21–23 May 2015, pp 1–4. https://doi.org/10.1109/sibcon.2015.7147214

  2. Semenova O et al (2013) Access fuzzy controller for CDMA networks. In: 2013 International Siberian conference on control and communications (SIBCON), Krasnoyarsk, Russia, 12–13 Sept 2013, pp 1–2. https://doi.org/10.1109/sibcon.2013.6693644

  3. Ageyev D, Al-Ansari A (2015) LTE RAN and services multi-period planning. In: 2015 Second international scientific-practical conference problems of infocommunications science and technology (PIC S&T). Kharkov, Ukraine: IEEE, pp 272–274. https://doi.org/10.1109/infocommst.2015.7357334

  4. Bondarenko O, Ageyev D, Mohammed O (2019) Optimization model for 5G network planning. In: 2019 IEEE 15th international conference on the experience of designing and application of CAD systems (CADSM). IEEE, pp 1–4. https://doi.org/10.1109/cadsm.2019.8779298

  5. Ageyev DV, Salah MT (2016) Parametric synthesis of overlay networks with self-similar traffic. Telecommun Radio Eng (English translation of Elektrosvyaz and Radiotekhnika) 75(14):1231–1241

    Article  Google Scholar 

  6. Naors Y, Anad A, Kashmoola MA, Moskalets M (2018) Analysis of the efficiency of spacetime access in the mobile communication systems based on an antenna array. East-Eur J Enterprise Technol 6(9(96)):38–47. https://doi.org/10.1587/1729-4061.2018.150921

  7. Moskalets M, Samoylenkov O, Kulish K, Sielivanov K (2019) Analysis of restrictions influence in implementation of space-time access methods. Eskişehir Techn Univ J Sci Technol A Appl Sci Eng 20:149–156. https://doi.org/10.18038/estubtda.655714

    Article  Google Scholar 

  8. Kohno R (1998) Spatial and temporal communication theory using adaptive antenna aггay. IEEE Pers Commun Mag 51:28–35

    Article  Google Scholar 

  9. Shad F, Todd TD, Kezys V, Livta J (2001) Dynamic slot allocation (DSA) in indoor SDMA/TDMA using a smart antenna basestation. IEEE/ACM Trans Netw 9(1):69–81. https://doi.org/10.1109/90.909025

    Article  Google Scholar 

  10. Stevanovic I, Skrivervik A, Mosig JR (2003) Smart antenna systems for mobile communications. Ecole Polytechnique Fédérale de Lausanne, Lausanne, Suisse, Tech. Rep. http://lemawww.epfl.ch. Accessed 23 Apr 2019

  11. Godara LC (1997) Applications of antenna arrays to mobile communications, Part I: performance improvement, feasibility, and system considerations. Proc IEEE 85(7):1029–1030. https://doi.org/10.1109/JPROC.1997.611114

    Article  Google Scholar 

  12. Okamoto G (2003) Developments and advances in smart antennas for wireless communications. Santa Clara University, Tech Rep. http://www.wmrc.com/businessbrieflng/pdf/wireless_2003/Publication/okamoto.pdf. Accessed 23 Apr 2019

  13. Litva J, Lo T (1996) Digital beamforming in wireless communications. Artech House Publishers, Boston, MA

    Google Scholar 

  14. Widrow B (1989) Adaptive signal processing. Radio and Communication, Moscow

    MATH  Google Scholar 

  15. Kryvinska N (2010) Converged network service architecture: a platform for integrated services delivery and interworking. In: Electronic business series, vol 2. International Academic Publishers, Peter Lang Publishing Group

    Google Scholar 

  16. Kryvinska N, Zinterhof P, van Thanh D (2007) An analytical approach to the efficient real-time events/services handling in converged network environment. In: Enokido T, Barolli L, Takizawa M (eds) Network-based information systems. NBiS 2007. Lecture notes in computer science, vol 4658. Springer, Berlin

    Google Scholar 

  17. Loshakov V, Abdourahmane A (2017) Modeling adaptive communication system with MIMO and OFDM In: 2017 4th international scientific-practical conference problems of infocommunications science and technology (PIC S&T). Kharkov, Ukraine, 10–13 Oct 2017, IEEE, pp 581–592

    Google Scholar 

  18. Gooch R, Sublett B, Lonski R (1990) Adaptive beamformers in communications and direction finding Systems. In: 24th Asilomar conference on signals, systems and computers, vol 1, pp 11–15. REFERENCES 169

    Google Scholar 

  19. Compton RT (1988) Adaptive antennas: concepts and performance. Prentice Hall PTR, Upper Saddle River, NJ

    Google Scholar 

  20. Voskresensksy DI, Bakhraha LD (eds) (1989) Problems of antenna technology. Radio and Communication, Moscow

    Google Scholar 

  21. Popovskij V, Barkalov A, Titarenko L (2011) Control and adaptation in telecommunication system: mathematical foundations, vol 94. Springer Science & Business Media

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mykola Moskalets .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Loshakov, V., Moskalets, M., Ageyev, D., Drif, A., Sielivanov, K. (2021). Adaptive Space-Time and Polarisation-Time Signal Processing in Mobile Communication Systems of Next Generations. In: Radivilova, T., Ageyev, D., Kryvinska, N. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-030-43070-2_21

Download citation

Publish with us

Policies and ethics