- Volume 15 Issue 6
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
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.
Supported by : National Research Foundation of Korea (NRF)
- 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
- H. Ganapathy and C. Caramanis, "Queue-based sub-carrier grouping for feedback reduction in OFDMA systems," in Proc. IEEE INFOCOM, 2012.
- Z. Han and Y. Lee, "Opportunistic scheduling with partial channel information in OFDMA/FDD systems," in Proc. IEEE VTC Fall, 2004.
- 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
- 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.
- 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
- S. Sanayei, A. Norstatina, and N. Alhdahir, "Opportunistic dynamic subchannel allocation in multiuser OFDM networks with limited feedback," in Proc. Inf. Theory Workshop, 2004.
- 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
- 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
- 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
- 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
- S. Ko, J. Lee, B. G. Lee, and D. Park, "Feedback reduction in OFDMA systems by scheduling probability prediction," in Proc. IEEE APCC, 2012.
- X.Wang, G. B. Giannakis, and Y. Yu, "Channel-adaptive optimal OFDMA scheduling," in Proc. IEEE CISS, 2007.
- 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
- 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
- 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
- 3GPP R1-050896, Qualcomm Europe, "Description and simulations of interference management technique for OFDMA based E-UTRA downlink evaluation."
- 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.