Wireless Personal Communications

, Volume 104, Issue 2, pp 821–836 | Cite as

Performance Evaluation of Large MIMO

  • Rajashree A. Patil
  • Maflin Shabby
  • B. P. PatilEmail author


In wireless network, MIMO (multiple inputs multiple output) is an advance antenna in which multiple antennas are employed at basis and target terminals. The hopeful expansion of advance MIMO structure is to connect tens with numerous antennas. Particularly, when it united by synchronous development of a widespread quantity of client terminals then this contains numerous modernized throughput and energy ability. Whereas, if OFDM (orthogonal frequency division multiplexing) is diminishes the information rate, then the conventional MIMO can also be utilized to augment QoS at low information rate. In this research work, the framework stage implementation can be augmented by the exploitation of spatial multiplexing among antenna configuration of 16 × 16 for downlink transmission and 8 × 8 for uplink transmission and also explains about the implementation of MIMO set-up of LTE superior corporeal layer exploiting 64 QAM and 256 sub-carriers. The projected procedure can be take place in the operational phase of MATLAB and the implementation consequences were also examined.





  1. 1.
    Li, S., Sun, Z., Wang, A., & Xiong, J. (2015). BEM-based low-complexity analytical channel estimation with optional iterative interference cancellation over rapidly time-varying channels for MIMO OFDM systems. Wireless Communication, 84(1), 15–35.CrossRefGoogle Scholar
  2. 2.
    Meng, X., Jiang, B., & Gao, X. (2014). Efficient co-channel interference suppression in MIMO–OFDM systems. Science China Information Sciences, 58(2), 1–15.CrossRefzbMATHGoogle Scholar
  3. 3.
    Peng, Y., Yang, W., Zhu, Y., & Kim, Y. (2012). An enhanced link adaptation scheme based on cooperative interference prediction for MIMO–OFDM systems. Wireless Communication, 70(2), 519–535.CrossRefGoogle Scholar
  4. 4.
    Esli, M. K., & Delic, H. (2008). Iterative joint tone-interference cancellation and decoding for MIMO–OFDM. IEEE Transaction of Vehicular Technology, 57(5), 2843–2855.CrossRefGoogle Scholar
  5. 5.
    Guan, Q., Zhao, H., & Guo, Q. (2010). Parallel interference cancellation for carrier frequency offset in OFDM assisted with recursive least squares algorithm. The Journal of China Universities of Posts and Telecommunications, 17(3), 13–19.CrossRefGoogle Scholar
  6. 6.
    Lin, W., & He, C. (2008). A low-complexity receiver for iterative parallel interference cancellation and decoding in MIMO–OFDM systems. AEU—International Journal of Electronics and Communications, 62(1), 68–71.CrossRefGoogle Scholar
  7. 7.
    Tao, Y., Bo, H., & Xinyue, G. (2007). Particle filter based stochastic interference cancellation for frequency-selective MIMO channel equalization. Journal of Systems Engineering and Electronics, 18(3), 476–483.CrossRefGoogle Scholar
  8. 8.
    Xun, F., Haibin, Z., Hanwen, L., & Jianguo, H. (2006). Optimal MMSE successive interference cancellation in group-wise STBC MIMO systems. Journal of Systems Engineering and Electronics, 17(1), 85–90.CrossRefzbMATHGoogle Scholar
  9. 9.
    Papathanasiou, C., Dimitriou, N., & Tassiulas, L. (2013). Dynamic radio resource and interference management for MIMO–OFDMA mobile broadband wireless access systems. Computer Networks, 57(1), 3–16.CrossRefGoogle Scholar
  10. 10.
    Shi, L., Zhang, W., & Xia, X. (2013). Space–frequency codes for MIMO–OFDM systems with partial interference cancellation group decoding. IEEE Transactions on Communications, 61(8), 3270–3280.CrossRefGoogle Scholar
  11. 11.
    Cheng, C., Sezginer, S., Sari, H., & Su, Y. (2014). Linear interference suppression with covariance mismatches in MIMO–OFDM systems. IEEE Transactions on Wireless Communications, 13(12), 7086–7097.CrossRefGoogle Scholar
  12. 12.
    Yan, Q., Zeng, H., Jiang, T., Li, M., Lou, W., & Hou, Y. (2016). Jamming resilient communication using MIMO interference cancellation. IEEE Transactions on Information Forensics and Security, 11(7), 1486–1499.CrossRefGoogle Scholar
  13. 13.
    Ghanbarisabagh, M. (2014). Efficient parallel interference cancellation algorithm for multiuser detection schemes in CDMA-based 20.48-Gb/s optical MIMO–OFDM system over 1200 km of SSMF. Optik—International Journal for Light and Electron Optics, 125(3), 1020–1023.CrossRefGoogle Scholar
  14. 14.
    Şahin, M., Guvenc, I., & Arslan, H. (2011). An iterative interference cancellation method for co-channel multicarrier and narrowband systems. Physical Communication, 4(1), 13–25.CrossRefGoogle Scholar
  15. 15.
    Tang, T., & Heath, R. (2008). A space time receiver with joint synchronization and interference cancellation in asynchronous MIMO–OFDM systems. IEEE Transaction of Vehicular Technology, 57(5), 2991–3005.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Rajashree A. Patil
    • 1
  • Maflin Shabby
    • 2
  • B. P. Patil
    • 3
    Email author
  1. 1.Electronics DepartmentSathyabama UniversityChennaiIndia
  2. 2.E & TC DepartmentSathyabama UniversityChennaiIndia
  3. 3.Army Institute of TechnologyPuneIndia

Personalised recommendations