DOI QR코드

DOI QR Code

Efficient Channel State Feedback Scheme for Opportunistic Scheduling in OFDMA Systems by Scheduling Probability Prediction

  • Ko, Soomin (Telecommunication Systems Business, Samsung Electronics Co., Ltd.) ;
  • Lee, Jungsu (School of Electrical Engineering and INMC, Seoul National University) ;
  • Lee, Byeong Gi (School of Electrical Engineering and INMC, Seoul National University) ;
  • Park, Daeyoung (School of Information and Communication Engineering, Inha University)
  • Received : 2012.12.04
  • Accepted : 2013.07.15
  • Published : 2013.12.31

Abstract

In this paper, we propose a new feedback scheme called mode selection-based feedback by scheduling probability prediction (SPP-MF) for channel state feedback in OFDMA downlink system. We design the scheme such that it determines the more desirable feedback mode among selective feedback by scheduling probability prediction (SPP-SF) mode and bitmap feedback by scheduling probability prediction (SPP-BF) mode, by calculating and comparing the throughputs of the two modes. In both feedback modes, each user first calculates the scheduling probability of each subchannel (i.e., the probability that a user wins the scheduling competition for a subchannel) and then forms a feedback message based on the scheduling probability. Specifically, in the SPP-SF mode, each user reports the modulation and coding scheme (MCS) levels and indices of its best S subchannels in terms of the scheduling probability. In the SPP-BF mode, each user determines its scheduling probability threshold. Then, it forms a bitmap for the subchannels according to the scheduling probability threshold and sends the bitmap along with the threshold. Numerical results reveal that the proposed SPP-MF scheme achieves significant performance gain over the existing feedback schemes.

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. S. N. Donthi and N. B. Mehta, "Joint performance anlysis of channel quality indicator feedback schemes and frequency-domain scheduling for LTE," IEEE Trans. Veh. Technol., vol. 60, pp. 3096-3109, Sept. 2011. https://doi.org/10.1109/TVT.2011.2159034
  2. H. Ganapathy and C. Caramanis, "Queue-based sub-carrier grouping for feedback reduction in OFDMA systems," in Proc. IEEE INFOCOM, 2012.
  3. Z. Han and Y. Lee, "Opportunistic scheduling with partial channel information in OFDMA/FDD systems," in Proc. IEEE VTC Fall, 2004.
  4. Y. Choi and S. Rangarajan, "Analysis of best channel feedback and its adaptive algorithms for multicarrier wireless data systems," IEEE Trans. Mobile Computing, vol. 10, pp. 1071-1082, Aug. 2011. https://doi.org/10.1109/TMC.2010.217
  5. M. Kang and K. S. Kim, "Performance analysis and optimization of best-M feedback for OFDMA systems," IEEE Commun. Lett., vol. 16, pp. 1648-1651, Oct. 2011.
  6. N. Varanese, J. L. Vicario, and U. Spagnolini, "On the asymptotic throughput of OFDMA systems with best-M CQI feedback," IEEE Wireless Commun. Lett., vol. 1, pp. 145-148, June 2012. https://doi.org/10.1109/WCL.2012.022412.110115
  7. S. Sanayei, A. Norstatina, and N. Alhdahir, "Opportunistic dynamic subchannel allocation in multiuser OFDM networks with limited feedback," in Proc. Inf. Theory Workshop, 2004.
  8. Y. Xue and T. Kaiser, "Exploiting multiuser diversity with imperfect one-bit channel state feedback," IEEE Trans. Veh. Technol., vol. 56, pp. 183-193, Jan. 2007. https://doi.org/10.1109/TVT.2006.883784
  9. S. Y. Park, D. Park, and D. J. Love, "On scheduling for multiple-antenna wireless networks using contention-based feedback," IEEE Trans. Commun., vol. 55, pp. 1174-1190, June 2007. https://doi.org/10.1109/TCOMM.2007.898839
  10. R. Agrawal, V. R.Majjigi, Z. Han, R. Vannithamby, and J.M. Cioffi, "Low complexity resource allocation with opportunistic feedback over downlink OFDMA networks," IEEE J. Sel. Areas Commun., vol. 26, pp. 1462-1472, Oct. 2008. https://doi.org/10.1109/JSAC.2008.081012
  11. S. Ko, S. Lee, H. Kwon, and B. G. Lee, "Mode selection-based channel feedback reduction scheme for opportunistic scheduling in OFDMA systems," IEEE Trans. Wireless Commun., vol. 9, pp. 2842-2852, Sept. 2010. https://doi.org/10.1109/TWC.2010.072110.091407
  12. S. Ko, J. Lee, B. G. Lee, and D. Park, "Feedback reduction in OFDMA systems by scheduling probability prediction," in Proc. IEEE APCC, 2012.
  13. X.Wang, G. B. Giannakis, and Y. Yu, "Channel-adaptive optimal OFDMA scheduling," in Proc. IEEE CISS, 2007.
  14. A. J. Goldsmith and S.-G. Chua, "Variable-rate variable-power MQAM for fading channels," IEEE Trans. Commun., vol. 45, pp. 1218-1230, Oct. 1997. https://doi.org/10.1109/26.634685
  15. D. Park, H. Seo, H. Kwon, and B. G. Lee, "Wireless packet scheduling based on the cumulative distribution function of user transmission rates," IEEE Trans. Commun., vol. 53, pp. 1919-1929, Nov. 2005. https://doi.org/10.1109/TCOMM.2005.858675
  16. D. Park and B. G. Lee, "QoS support by using CDF-based wireless packet scheduling in fading channels," IEEE Trans. Commun., vol. 54, pp. 2051-2061, Nov. 2006. https://doi.org/10.1109/TCOMM.2006.884847
  17. 3GPP R1-050896, Qualcomm Europe, "Description and simulations of interference management technique for OFDMA based E-UTRA downlink evaluation."
  18. K. Ahn, R. Heath, and H. Baik, "Shannon capacity and symbol error rate of space-time block codes in MIMO Rayleigh channels with channel estimation error," IEEE Trans. Wireless Commun., vol. 72, pp. 324-333, Mar. 2008.