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Telecommunication Systems

, Volume 70, Issue 1, pp 3–12 | Cite as

Combined user and antenna scheduling scheme for MIMO–OFDM networks

  • Prabina PattanayakEmail author
  • Preetam Kumar
Article
  • 58 Downloads

Abstract

A combined user and antenna scheduling algorithm implementing spatial multiplexing with limited feedback is proposed for multiple-input multiple-output orthogonal frequency-division multiplexing downlink channel. Base station (BS) should be kept updated about the channel conditions of the different subcarriers of all the users present in the multiple carrier system for the achievement of efficient spectrum utilization. Hence, users convey the channel state information (CSI) in the form of signal-to-interference-plus-noise ratio (SINR) to BS. According to the proposed algorithm, each user sends an array of best SINRs corresponding to each transmit antenna. This scheme overcomes the limitations of the schemes where all the users feed only the maximum CSI to BS. All the antennas at BS are utilized to the fullest by transferring data packets for the entire duration of communication by the proposed algorithm unlike the existing scheduling schemes. The system throughput analysis for this algorithm is presented for both homogeneous and heterogeneous network. Numerical results match well with the simulation results for this two kind of networks.

Keywords

MIMO–OFDM Scheduling User/receive antenna scheduling SINR feedback Homogeneous network Heterogeneous network 

Notes

Compliance with ethical standards

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

References

  1. 1.
    Ajibi, W., & Haccoun, D. (2005). An overview of scheduling algorithms in MIMO-based fourth-generation wireless systems. IEEE Network, 19, 43–48.CrossRefGoogle Scholar
  2. 2.
    Bolcskei, H., Gesbert, D., & Paulraj, A. (2002). On the capacity of OFDM based spatial multiplexing systems. IEEE Transactions on Communications, 50, 225–234.CrossRefGoogle Scholar
  3. 3.
    Chiaraviglio, L., Amorosi, L., Cartolano, S., Blefari-Melazzi, N., Dellolmo, P., Shojafar, M., & Salsano, S. (2017). Optimal superfluid management of 5G networks. In IEEE conference on network softwarization (NetSoft) (pp. 1–9).Google Scholar
  4. 4.
    Choi, L.-U., & Murch, R. D. (2004). A transmit pre-processing technique for multi-user MIMO systems using a decomposition approach. IEEE Transactions on Wireless Communications, 3, 20–24.CrossRefGoogle Scholar
  5. 5.
    Chung, J., Hwang, C. S., Kim, K., & Kim, Y. K. (2003). A random beamforming techniques in MIMO systems exploiting multiuser diversity. IEEE Journal on Selected Areas Communications, 21, 848–855.CrossRefGoogle Scholar
  6. 6.
    David, H. A. (1981). Order statistics (2nd ed.). New York: Wiley.Google Scholar
  7. 7.
    Dimic, G., & Sidiropoulos, N. D. (2005). On downlink beamforming with greedy user selection: Performance analysis and a simple new algorithm. IEEE Transactions on Signal processing, 53, 3857–3868.CrossRefGoogle Scholar
  8. 8.
    Eslami, M., & Krzymien, W. A. (2011). Net throughput maximization of per-chunk user scheduling for MIMO–OFDM downlink. IEEE Transactions on Vehicular Technology, 60, 4338–4348.CrossRefGoogle Scholar
  9. 9.
    Fakhereddin, M. J., Sharif, M., & Hassibi, B. (2009). Reduced feedback and random beamforming for OFDM MIMO broadcast channels. IEEE Transactions on Communications, 57, 3827–3835.CrossRefGoogle Scholar
  10. 10.
    Kim, C., Ko, K., Jung, S., & Lee, J. (2010). On the SINR distribution for an orthogonal random beamforming system and its performance. In Proceedings on IEEE vehicular technology conference.Google Scholar
  11. 11.
    McKay, M. R., Smith, P. J., Suraweera, H. A., & Collings, I. B. (2008). On the mutual information distribution of OFDM-based spatial multiplexing: Exact variance and outage approximation. IEEE Transactions on Information Theory, 54, 3260–3278.CrossRefGoogle Scholar
  12. 12.
    Min, M., Kim, D., Kim, H., & Im, G. H. (2013). Opportunistic two-stage feedback and scheduling for MIMO downlink systems. IEEE Transactions on Communications, 61, 312–324.CrossRefGoogle Scholar
  13. 13.
    Muller-Weinfurtner, S. H. (2002). Coding approaches for multiple antenna transmission in fast fading and OFDM. IEEE Transactions on Signal Processing, 50, 2442–2450.CrossRefGoogle Scholar
  14. 14.
    Pattanayak, P., & Kumar, P. (2015). Limited feedback scheduling for MIMO–OFDM broadcast network. In IEEE symposium on wireless personal multimedia communications (WPMC).Google Scholar
  15. 15.
    Pattanayak, P., & Kumar, P. (2016). SINR based limited feedback scheduling for MIMO–OFDM heterogeneous broadcast networks. In IEEE national conference on communication (NCC) (pp. 1–6).Google Scholar
  16. 16.
    Pattanayak, P., Pandey, D., & Kumar, P. (2015). Error rate performance for multiuser scheduling in MIMO downlink system with imperfect CSI. In IEEE national conference on wireless communications, vehicular technology, information theory and aerospace and electronic systems (WVITAE).Google Scholar
  17. 17.
    Pattanayak, P., Trivedi, V. K., Chakraborty, S., & Kumar, P. (2017). BER performance of multi user scheduling for MIMO–STBC and MIMO–OFDM broadcast network with imperfect CSI. In IEEE national conference on signal processing and integrated networks (SPIN) (pp. 66–70).Google Scholar
  18. 18.
    Pattanayak, P., & Kumar, P. (2015). A computationally efficient genetic algorithm for MIMO broadcast scheduling. Elsevier Applied Soft Computing, 37, 545–553.CrossRefGoogle Scholar
  19. 19.
    Pattanayak, P., & Kumar, P. (2016). Quantized feedback MIMO scheduling for heterogeneous broadcast networks. Wireless Networks Springer, 23, 1–18.Google Scholar
  20. 20.
    Pattanayak, P., & Kumar, P. (2017). Quantized feedback scheduling for MIMO–OFDM broadcast networks with subcarrier clustering. Elsevier Ad Hoc Networks, 65, 26–37.CrossRefGoogle Scholar
  21. 21.
    Pattanayak, P., Roy, K. M., & Kumar, P. (2015). Analysis of a new MIMO broadcast channel limited feedback scheduling algorithm with user grouping. Springer Wireless Personal Communications, 80, 1079–1094.CrossRefGoogle Scholar
  22. 22.
    Peng, Y., Armour, S. M. D., & McGeeham, J. P. (2007). An investigation of dynamic subcarrier allocation in MIMO–OFDMA systems. IEEE Transactions on Vehicular Technology, 56, 2990–3005.CrossRefGoogle Scholar
  23. 23.
    Sharif, M., & Hassibi, B. (2005). On the capacity of MIMO broadcast channels with partial side information. IEEE Transactions on Information Theory, 51, 506–522.CrossRefGoogle Scholar
  24. 24.
    Soleimani, H., Tomasin, S., Alizadeh, T., & Shojafar, M. (2017). Cluster-head based feedback for simplified time reversal prefiltering in ultra-wideband systems. Elsevier Physical Communication, 25, 100–109.CrossRefGoogle Scholar
  25. 25.
    Stuber, G. L., Barry, J. R., McLaughlin, S. W., Li, Y. G., Ingram, M. A., & Pratt, T. G. (2004). Broadband MIMO–OFDM wireless communications. Proceedings of the IEEE, 92, 271–294.CrossRefGoogle Scholar
  26. 26.
    Svedman, P., Wilson, S. K., Cimini, L. J., & Ottersten, B. (2007). Opportunistic beamforming and scheduling for OFDMA systems. IEEE Transactions on Communications, 55, 941–952.CrossRefGoogle Scholar
  27. 27.
    Swannack, C., Uysal-Biyikoglu, E., & Wornell, G. W. (2005). MIMO broadcast scheduling with limited channel state information. Proceedings of Annual Allerton Conference on Communications, Control and Computing.Google Scholar
  28. 28.
    Viswanath, P., Tse, D. N. C., & Laroia, R. (2002). Opportunistic beamforming using dumb antennas. IEEE Transactions on Information Theory, 48, 1277–1294.CrossRefGoogle Scholar
  29. 29.
    Wong, C. Y., Cheng, R. S., Lataief, K. B., & Murch, R. D. (1999). Multiuser ofdm with adaptive subcarrier, bit and power allocation. IEEE Journal on Selected Areas in Communications, 17, 1747–1758.CrossRefGoogle Scholar
  30. 30.
    Yoo, T., & Goldsmith, A. (2006). On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE Journal on Selected Areas in Communications, 24, 528–541.CrossRefGoogle Scholar
  31. 31.
    Zhang, W., & Letaief, K. B. (2007). MIMO broadcast scheduling with limited feedback. IEEE Journal on Selected Areas in Communications, 25, 1457–1467.CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Kalinga Institute of Industrial Technology (KIIT) deemed to be universityBhubaneswarIndia
  2. 2.IITPatnaIndia

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