Tunable channel decomposition for MIMO communications using channel state information

IEEE Transactions on Signal Processing

Volumn 54, Issue 11, 2006, Pages 4405-4418

  Jiang, Yi ^a,c   Hager, William W ^b   Li, Jian ^a  

^a University of Florida   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

Channel capacity; Channel decomposition; Dirty paper (DP) precoding; Generalized triangular decomposition; Joint transceiver design; Multiple input multiple output (MIMO); Optimal CDMA sequences; Quality of service; VBLAST

Indexed keywords

CHANNEL CAPACITY; CODE DIVISION MULTIPLE ACCESS; EQUALIZERS; QUALITY OF SERVICE; SIGNAL ENCODING; SIGNAL INTERFERENCE; SIGNAL TO NOISE RATIO; TRANSCEIVERS;

CHANNEL DECOMPOSITION; CHANNEL STATE INFORMATION; DIRTY PAPER (DP) PRECODING; GENERALIZED TRIANGULAR DECOMPOSITION; MINIMUM MEAN-SQUARED-ERROR (MMSE); MULTIPE-INPUT MULTIPLE-OUTPUT (MIMO) COMMUNICATIONS; TUNABLE CHANNEL DECOMPOSITION;

DATA COMMUNICATION EQUIPMENT;

EID: 33750422561     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2006.880233     Document Type: Article

References (23)

1. G. G. Raleigh and J. M. Cioffi, "Spatial-temporal coding for wireless communication," IEEE Trans. Commun., vol. 46, pp. 357-366, Mar. 1998.
2. A. Scaglione, G. B. Giannakis, and S. Barbarossa, "Filterbank transceiver optimizing information rate in block transmissions over dispersive channels," IEEE Trans. Inf. Theory, vol. 45, pp. 1019-1032, Apr. 1999.
3. D. Palomar, J. Cioffi, and M. Lagunas, "Joint Tx-Rx beamforming design for multicarrier MIMO channels: A unified framework for convex optimization," IEEE Trans. Signal Process., vol. 51, no. 9, pp. 2381-2401, Sep. 2003.
4. Y. Jiang, J. Li, and W. Hager, "Joint transceiver design for MIMO communications using geometric mean decomposition," IEEE Trans. Signal Process., vol. 53, no. 10, pp. 3791-3803, Oct. 2005.
5. Y. Jiang, J. Li, and W. Hager, "Uniform channel decomposition for MIMO communications," IEEE Trans. Signal Process., vol. 53, no. 11, pp. 4283-4294, Nov. 2005.
6. J.-K. Zhang, A. Kavcic, and K. M. Wong, "Equal-diagonal QR decomposition and its application to precoder design for successive-cancellation detection," IEEE Trans. Inf. Theory, vol. 51, pp. 154-172, Jan. 2005.
7. S. Kung, Y. Wu, and X. Zhang, "Bezout space-time precoders and equalizers for MIMO channels," IEEE Trans. Signal Process., vol. 50, no. 10, pp. 2499-2514, Oct. 2002.
8. A. Hjørungnes, P. Diniz, and M. de Campos, "Jointly minimum BER transmitter and receiver FIR MIMO filters for binary signal vectors," IEEE Trans. Signal Process., vol. 52, no. 4, pp. 1021-1036, Apr. 2004.
9. F. Xu, T. Davidson, J. K. Zhang, and S. Chan, "Design of block transceivers with MMSE decision feedback detection," in Proc. IEEE Int. Conf. Acoustics Speech, Signal Processing, Mar. 2005, vol. 3, pp. iii/ 1109-iii/1112.
10. Y. Jiang, W. Hager, and J. Li, "The Generalized Triangular Decomposition," [Online]. Available: http://www.sal.ufl.edu/yjiang/ papers/gtd.pdf, submitted for publication
11. M. Rupf and J. L. Massey, "Optimal sequence multisets for synchronous code-division multiple-access channels," IEEE Trans. Inf. Theory, vol. 40, pp. 1261-1266, Jul. 1994.
12. P. Viswanath and V. Anantharam, "Optimal sequences and sum capacity of synchronous CDMA systems," IEEE Trans. Inf. Theory, vol. 45, pp. 1984-1991, Sep. 1999.
13. P. Viswahath, V. Anantharam, and D. Tse, "Optimal sequences, power control and user capacity of synchronous CDMA systems with linear MMSE multiuser receivers," IEEE Trans. Inf. Theory, vol. 45, pp. 1968-1983, Sep. 1999.
14. T. Guess, "Optimal sequence for CDMA with decision-feedback receivers," IEEE Trans. Inf. Theory, vol. 49, pp. 886-900, Apr. 2003.
15. H. Sampath, P. Stoica, and A. Paulraj, "Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion," IEEE Trans. Commun., vol. 49, pp. 2198-2206, Dec. 2001.
16. D. Palomar, M. Lagunas, and J. Cioffi, "Optimum linear joint transmit-receive processing for MIMO channels with QoS constraints," IEEE Trans. Signal Process., vol. 52, no. 5, pp. 1179-1197, May 2004.
17. A. Marshall and I. Olkin, Inequalities: Theory of Majorization. New York: Academic, 1979.
18. G. J. Foschini, G. D. Golden, R. A. Valenzuela, and P. W. Wolniansky, "Simplified processing for high spectral efficiency wireless communication employing multiple-element arrays," Wireless Personal Commun., vol. 6, pp. 311-335, Mar. 1999.
19. B. Hassibi, "A fast square-root implementation for BLAST," Proc. 34th Asilomar Conf. Signals, Systems, Computers, pp. 1255-1259, Nov. 2000.
20. B. Hassibi, "An efficient square-root implementation for BLAST 2000 [Online]. Available: http://cm.bell-labs.com/who/hochwald/papers/ squareroot/
21. I. E. Telatar, "Capacity of multi-antenna Gaussian channels," Eur. Trans. Telecommun., vol. 10, no. 6, pp. 585-595, 1999.
22. P. Viswanath and D. Tse, "Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality," IEEE Trans. Inf. Theory, vol. 49, pp. 1912-1921, Aug. 2003.
23. R. A. Horn and C. R. Johnson, Topics in Matrix Analysis. Cambridge, U.K.: Cambridge Univ. Press, 1991.