Advertisement

Real Time Multiuser-MIMO Beamforming/Steering Using NI-2922 Universal Software Radio Peripheral

  • Aliyu Buba AbdullahiEmail author
  • Rafael F. S. Caldeirinha
  • Akram Hammoudeh
  • Leshan Uggalla
  • Jon Eastment
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 69)

Abstract

Exponential growth in wireless service subscription and its corresponding data traffic prediction poses a threat to the current 4G system; this triggered next generation wireless system (5G) research to improve system data rate and the overall network capacity thus, gained attention. In addition to the high data rates, other key features essential for successful system deployment were proposed and addressed towards 5G framework using various disruptive technologies. These include: the millimeter-Wave, massive-MIMO, beamforming-beamsteering, and Heterogeneous Network. These features further prompt, reexamining the system design and performance trade-offs with the existing 4G wireless system. This article presents the system design, implementation, hardware prototyping for 5G system beamforming/beamsteering. Hardware prototyping uses National Instrument Software Defined Radio (NI USRP 2922) and array antenna for system performance analysis. Results obtained show improved performance with increasing antenna.

Keywords

5G MIMO Beamforming/beamsteering EVM BER USRP SDR 

Supplementary material

References

  1. 1.
    Sanou, B.: ICT Facts and Figures The World in 2015 (2015). http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2015.pdf. Accessed Mar 2016
  2. 2.
    Astely, D., Parkvall, S.: The evolution of LTE towards IMT-advanced. J. Commun. 4(3), 146–154 (2009)Google Scholar
  3. 3.
    Stefan Parkvall, A.F., Dahlman, E.: The evolution of LTE toward LTE advanced. J. Commun. (2008). http://ojs.academypublisher.com/index.php/jcm/article/view/. Accessed 12 Oct 2011
  4. 4.
    Rodriguez, J.: Fundamentals of 5G Mobile Networks, 1st edn. John Wiley Pub., Chichester (2015)Google Scholar
  5. 5.
    Rappaport, T., Health, R., Daniels, R., Murdock, J.: Millimeter Wave Wireless Communication. Pearson Education Inc., Westford (2015)Google Scholar
  6. 6.
    Rappaport, T., et al.: Millimeter wave mobile communication for 5G cellular: it will work. IEEE Access 1, 335–349 (2013)CrossRefGoogle Scholar
  7. 7.
    Rappaport, T.S., Ben-Dor, E., Murdock, J.N., Qiao, Y.: 38 GHz and 60 GHz angle-dependent propagation for cellular and peer-to-peer wireless communications. In: IEEE International Conference on Communication, June 2012Google Scholar
  8. 8.
    Bo, H., et al.: Directional transmission by 3-D beam-forming using smart antenna arrays. In: Wireless VITAE 2013 (2013)Google Scholar
  9. 9.
    Hakam, A., et al.: Robust DOA estimation using a 2D novel smart antenna array. In: 2014 6th International Conference on New Technologies, Mobility and Security (NTMS) (2014)Google Scholar
  10. 10.
    Harris, P., et al.: A distributed massive MIMO Testbed to assess real-world performance and feasibility. In: 2015 IEEE 81st Vehicular Technology Conference (VTC Spring) (2015)Google Scholar
  11. 11.
    Luther, E.: 5G massive MIMO Testbed: from theory to reality, December 2015. http://www.ni.com/white-paper/52382/en/. Accessed 21 Sept 2015
  12. 12.
    Prahlad, K., Ramamurthi, B.: Design and implementation of a multi-terminal channel emulator on LTE TestBed. In: 2015 Twenty First National Conference on Communications (NCC) (2015)Google Scholar
  13. 13.
    Rahman, M.M., Dey, S., Saha, N.: Adaptive array antenna for WLAN: a smart approach to beam switching through phase shifting in feed network. In: 2012 15th International Conference on Computer and Information Technology (ICCIT) (2012)Google Scholar
  14. 14.
    Elvira, V., Vía, J.: Diversity techniques for RF-beamforming in MIMO-OFDM systems: Design and performance evaluation. In: 2009 17th European Signal Processing Conference (2009)Google Scholar
  15. 15.
    Khalaf, A.A.M., El-Daly, A.R.B.M., Hamed, H.F.A.: Different adaptive beamforming algorithms for performance investigation of smart antenna system. In: 2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) (2016)Google Scholar
  16. 16.
    National Instruments: NI USRP-292x/293x Datasheet Universal Software Radio Peripherals. National Instrument, p. 6 (2015)Google Scholar
  17. 17.
    Tan, K.S., et al.: An efficient digital beamsteering system for difference frequency in parametric array. In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (2004)Google Scholar
  18. 18.
    Rozé, A., et al.: Comparison between a hybrid digital and analog beamforming system and a fully digital Massive MIMO system with adaptive beamsteering receivers in millimeter-Wave transmissions. In: 2016 International Symposium on Wireless Communication (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Aliyu Buba Abdullahi
    • 2
    • 3
    • 1
    Email author
  • Rafael F. S. Caldeirinha
    • 1
    • 2
  • Akram Hammoudeh
    • 1
    • 2
  • Leshan Uggalla
    • 1
  • Jon Eastment
    • 1
    • 4
  1. 1.Wireless and Optoelectronic Research Group (WORIC)University of South WalesCardiffUK
  2. 2.Instituto de Telecomunicações (IT)Delegação de Leiria, ESTG, Polytechnic Institute of LeiriaLeiriaPortugal
  3. 3.Electrical and Electronics Engineering, School of EngineeringThe Federal Polytechnic MubiMubiNigeria
  4. 4.Science and Technology Facilities CouncilSwindonUK

Personalised recommendations