Evaluation of Efficient CSI Based Channel Feedback Techniques for Adaptive MIMO-OFDM Systems
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:62159", author = "Muhammad Rehan Khalid and Muhammad Haroon Siddiqui and Danish Ilyas", title = "Evaluation of Efficient CSI Based Channel Feedback Techniques for Adaptive MIMO-OFDM Systems", 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.", volume = "6", number = "8", pages = "874-6", }