Evaluation of Efficient CSI Based Channel Feedback Techniques for Adaptive MIMO-OFDM Systems

Authors: Muhammad Rehan Khalid, Muhammad Haroon Siddiqui, Danish Ilyas

Abstract:

This paper explores the implementation of adaptive coding and modulation schemes for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) feedback systems. Adaptive coding and modulation enables robust and spectrally-efficient transmission over time-varying channels. The basic premise is to estimate the channel at the receiver and feed this estimate back to the transmitter, so that the transmission scheme can be adapted relative to the channel characteristics. Two types of codebook based channel feedback techniques are used in this work. The longterm and short-term CSI at the transmitter is used for efficient channel utilization. OFDM is a powerful technique employed in communication systems suffering from frequency selectivity. Combined with multiple antennas at the transmitter and receiver, OFDM proves to be robust against delay spread. Moreover, it leads to significant data rates with improved bit error performance over links having only a single antenna at both the transmitter and receiver. The coded modulation increases the effective transmit power relative to uncoded variablerate variable-power MQAM performance for MIMO-OFDM feedback system. Hence proposed arrangement becomes an attractive approach to achieve enhanced spectral efficiency and improved error rate performance for next generation high speed wireless communication systems.

Keywords: Adaptive Coded Modulation, MQAM, MIMO, OFDM, Codebooks, Feedback.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080556

References:

[1] A. Paulraj, R. Nabar, D. Gore, Introduction to space-time wireless communications, May 2003, ISBN: 0521826152.
[2] Siavash M. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE Transactions on Comm., vol. 43, no. 2, pp. 773- 775, Feb. 1995.
[3] A. J. Paulraj, D. A. Gore, R. U. Nabar, H. Bolcskei, "An overview of MIMO communications - a key to gigabit wireless," Proceedings of the IEEE , vol. 92, no. 2 pp. 198-218, Feb. 2004.
[4] A. Naguib, N. Seshadri, "Increasing data rates over wireless channels," IEEE Signal Processing Magazine, vol. 9, pp. 76-92, May 2000.
[5] A. Bahai, B. Saltzberg, Multicarrier Digital Communications: Theory and Applications of OFDM, Kluwer Academic, New York, 1999.
[6] P. Uthansaku, M. E. Bialkows, "Multipath signal effect on the capacity of MIMO, MIMO-OFDM and spread MIMO-OFDM," 15th International Conference on Microwaves, Radar and Wireless Communications, vol. 3, pp. 989-992, 17-19 May 2004.
[7] G. L. Stuber, J. R. Barry, S. W. Mclaughlin, Y. G. Li, M. A. Ingram, T. G. Pratt, "Broadband MIMO-OFDM Wireless Communications," Proceedings of IEEE, vol. 92, pp. 271-294, Feb. 2004.
[8] J. F. Hayes, "Adaptive feedback communications," IEEE Trans. Commun. Technol., pp. 24-34, Feb. 1968.
[9] J. K. Cavers, "Variable-rate transmission for Rayleigh fading channels," IEEE Trans. Commun., pp. 15-22, Feb 1972.
[10] S. Otsuki, S. Sampei, and N. Morinaga, "Square-QAM adaptive modulation/ TDMA/TDD systems using modulation level estimation with Walsh function," Electr. Lett., pp. 169-171, Feb. 1995.
[11] W. T. Webb and R. Steele, "Variable rate QAM for mobile radio," IEEE Trans. Commun., pp. 22232230, July 1995.
[12] Y. Kamio, S. Sampei, H. Sasaoka, and N. Morinaga, "Performance of modulation-level-controlled adaptivemodulation under limited transmission delay time for land mobile communications," in Proc. IEEE Vehic. Technol. Conf., pp. 221225, July 1995.
[13] S. T. Chung and A. J. Goldsmith, "Degrees of freedom in adaptive modulation: a unified view," IEEE Trans. Commun., vol. 49, pp. 1561- 1571, Sept. 2001.
[14] S. Nanda, K. Balachandran, and S. Kumar, "Adaptation techniques in wireless packet data services," IEEE Commun. Mag., pp. 5464, Jan. 2000.
[15] K.M. Kamath and D.L. Goeckel, "Adaptive-modulation schemes for minimum outage probability in wireless systems," IEEE Trans. Commun., vol. 52, pp. 1632-1635, Oct. 2004.
[16] M. S. Alouini and A. J. Goldsmith, "Adaptive modulation over Nakagami fading channels," Kluwer Journal on Wireless Personal Communications, pp. 119-143, May 2000.
[17] S. Vishwanath, S. A. Jafar, and A.J. Goldsmith, "Adaptive resource allocation in composite fading environments," Proc. IEEE Global Telecommun. Conf. (GLOBECOM), pp. 13121316, Nov. 2001.
[18] J. H. Sung and J. R. Barry, "Space-time processing with channel knowledge at the transmitter," European Conference on Communications, Bratislava, vol. 1, pp. 26-29, July 5-7 2001.
[19] V. Lau, Y. Liu, and T. A. Chen, "On the design of MIMO block fading channels with feedback link capacity constraint," IEEE Transactions on Communications, vol. 52, pp. 62-70, Jan. 2004.
[20] K. K. Mukkavilli, A. Sabharwal, E. Erkip, and B. Aazhang, "On beamforming with finite rate feedback in multiple antenna systems," IEEE Transactions on Information Theory, vol. 49, pp. 2562-2579, Oct. 2003.
[21] D. J. Love and R. W. Heath, Jr., "Limited feedback diversity techniques for correlated channels," IEEE Transactions on Veh. Technologies, vol. 55, pp. 718-722, Mar. 2006.
[22] D. J. Love, R. W. Heath, Jr., and T. Strohmer, "Grassmannian beamforming for multiple-input multiple-output wireless systems," IEEE Transactions on Information Theory, vol. 49, pp. 2735-2747, Oct. 2003.
[23] A. Narula, M. J. Lopez, M. D. Trott, and G. W. Wornell, "Efficient use of side information in multiple antenna data transmission over fading channels," IEEE Journal on Selected Areas in Communications, vol. 16, pp. 1423-1436, Oct. 1998.
[24] A. D. Dabbagh and D. J. Love, "Feedback rate-capacity loss tradeoff for limited feedback MIMO systems," IEEE Transactions on Information Theory, vol. 52, pp. 2190-2202, May 2006.
[25] Emil Bjornson, David Hammarwall, Bjorn Ottersten, "Exploiting quantized channel norm feedback through conditional statistics in arbitrarily correlated MIMO systems," IEEE Transactions on Signal Processing, To appear.
[26] Kim, T.T.; Bengtsson, M.; Larsson, E.G.; Skoglund, M., "Combining long-term and low-rate short-term channel state information over correlated MIMO channels," IEEE Transactions on Wireless Communications, vol. 7, no. 7, pp. 2409-2414, Jul. 2008.
[27] A. F. Hanif, M. Bengtsson, "Evaluation of low rate channel feedback schemes for MIMO systems," Proceedings of Future Network and Mobile Summit, June 2010.
[28] A. F. Hanif. Evaluation of low rate channel feedback schemes for MIMO systems. Master-s Thesis, Royal Institute of Technology, Oct. 2009.
[29] M. R. Khalid, A. F. Hanif and A. A. Khan, "Analysis of codebook based channel feedback techniques for MIMO-OFDM systems," VII 2011 International Conference on Wireless Communications annd Mobile Computing ICWCMC-11, Bangkok, Thailand, pp. 297-301, Dec. 2011.
[30] A. Goldsmith, Wireless Communications, Cambridge University Press, 2005.
[31] A. Bahai, B. Saltzberg, Multicarrier Digital Communications: Theory and Applications of OFDM, Kluwer Academic, New York, 1999.
[32] C. Wong et al, "Multiuser subcarrier allocation for OFDM transmission using adaptive modulation," VTC99, vol. 43, no. 2, pp. 479-483, 1999.
[33] P. Chow et al, "A Practical Discrete Multitone Transceiver Loading Algorithm for Data Transmission over Spectrally Shaped Channels," IEEE Transactions on Comm., vol. 43, no. 2, pp. 773-775, Feb. 1995.
[34] J. Campello, "Optimal discrete bit loading for multicarrier moduation systems," Proc. of the IEEE Int. Symp. on Information Theory, p. 163, Cambrige, MA, USA, Aug. 1998.
[35] J. Campello et al, "Practical bit loading techniques for Discrete Multi Tone (DMT)," IEEE International Conference on Communications ICC99, pp. 801-805, 1999.