SIC-based detection with list and lattice reduction for MIMO channels

IEEE Transactions on Vehicular Technology

Volumn 58, Issue 7, 2009, Pages 3786-3790

  Choi, Jinho ^a   Nguyen, Huan ^b  

^a SWANSEA UNIVERSITY   (United Kingdom)

^b GLASGOW CALEDONIAN UNIVERSITY   (United Kingdom)

Author keywords

Lattice reduction (LR) based detection; List detection; Multiple input multiple output (MIMO) detection; Successive interference cancellation (SIC)

Indexed keywords

LATTICE REDUCTION; LATTICE REDUCTION (LR)-BASED DETECTION; LIST DETECTION; LOW-COMPLEXITY; MIMO CHANNEL; ML DETECTORS; MULTIPLE-INPUT-MULTIPLE-OUTPUT; MULTIPLE-INPUT-MULTIPLE-OUTPUT (MIMO) DETECTION; SUCCESSIVE INTERFERENCE CANCELLATION (SIC); SUCCESSIVE INTERFERENCE CANCELLATIONS;

ACOUSTIC INTENSITY; BIT ERROR RATE; COMMUNICATION CHANNELS (INFORMATION THEORY); ELECTRIC REACTORS; MAXIMUM LIKELIHOOD; MIMO SYSTEMS; MULTIPLEXING; QUADRATURE AMPLITUDE MODULATION; RADIO INTERFERENCE; SIGNAL TO NOISE RATIO; TELECOMMUNICATION REPEATERS; WAVE INTERFERENCE;

DETECTORS;

EID: 69549084744     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2009.2013472     Document Type: Article

References (21)

1. I. E. Telatar, "Capacity of multiple-antenna Gaussian channels," Eur. Trans. Telecommun., vol. 10, no. 6, pp. 585-595, Nov./Dec. 1999.
2. G. J. Foschini and M. J. Gans, "On limits of wireless communications in a fading environment when using multiple antennas," Wirel. Pers. Commun., vol. 6, no. 3, pp. 311-335, Mar. 1998.
3. G. J. Foschini, "Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas," Bell Labs Tech. J., vol. 1, no. 2, pp. 41-59, Autumn 1996.
4. G. J. Foschini, G. Golden, R. Valenzuela, and P. Wolniansky, "Simplified processing for wireless communication at high spectral efficiency," IEEE J. Sel. Areas Commun., vol. 17, no. 11, pp. 1841-1852, Nov. 1999.
5. W. J. Choi, R. Negi, and J. Cioffi, "Combined ML and DFE decoding for the V-BLAST system," in Proc. IEEE ICC, New Orleans, LA, 2000, pp. 1243-1248.
6. J. Choi, "On the partial MAP detection with applications to MIMO channels," IEEE Trans. Signal Process., vol. 53, no. 1, pp. 158-167, Jan. 2005.
7. D. J. Love, S. Hosur, A. Batra, and R. W. Heath, "Chase decoding for space-time codes," in Proc. IEEE VTC, Nov. 2004, vol. 3, pp. 1663-1667.
8. D. W. Waters and J. R. Barry, "The Chase family of detection algorithms for multiple-input multiple-output channels," IEEE Trans. Signal Process., vol. 56, no. 2, pp. 739-747, Feb. 2008.
9. D. Chase, "A class of algorithms for decoding block codes with channel measurement information," IEEE Trans. Inf. Theory, vol. IT-18, no. 1, pp. 170-182, Jan. 1972.
10. H. Yao and G. W. Wornell, "Lattice-reduction-aided detectors for MIMO communication systems," in Proc. IEEE Globecom, Taipei, Taiwan, Nov. 2002, pp. 424-428.
11. D. Wubben, R. Bohnke, V. Kuhn, and K.-D. Kammeyer, "Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice reduction," in Proc. IEEE ICC, Paris, France, Jun. 2004, vol. 2, pp. 798-802.
12. W. H. Mow, "Universal lattice decoding: Principle and recent advances," Wireless Commun. Mobile Comput., vol. 3, no. 5, pp. 553-569, Aug. 2003.
13. M. Taherzadeh, A. Mobasher, and A. K. Khandani, "LLL reduction achieves the receive diversity in MIMO decoding," IEEE Trans. Inf. Theory, vol. 53, no. 12, pp. 4801-4805, Dec. 2007.
14. C. Ling, "On the proximity factors of lattice reduction-aided decoding," IEEE Trans. Inform. Theory, submitted for publication.
15. D. L. Milliner and J. R. Barry, "A lattice-reduction-aided soft detector for multiple-input multiple-output channels," in Proc. IEEE Globecom, San Francisco, CA, Nov. 2006, pp. 1-5.
16. A. K. Lenstra, J. H. W. Lenstra, and L. Lovasz, "Factorizing polynomials with rational coefficients," Math. Ann., vol. 261, no. 4, pp. 515-534, Dec. 1982.
17. J. Jalden, D. Seethaler, and G. Matz, "Worst- and average-case complexity of LLL lattice reduction in MIMO wireless systems," in Proc. IEEE ICASSP, Mar./Apr. 2008, pp. 2685-2688.
18. J. Choi, Y. Hong, and J. Yuan, "An approximate MAP based iterative receiver for MIMO channels using a modified sphere detection," IEEE Trans. Wireless Commun., vol. 5, no. 8, pp. 2119-2126, Aug. 2006.
19. Y. H. Gan andW. H. Mow, "Complex lattice reduction algorithms for low-complexity MIMO detection," in Proc. IEEE Globecom, St. Louis, MO, Nov./Dec. 2005, pp. 2953-2957.
20. M. C. Cary, Lattice Basis Reduction Algorithms and Applications. unpublished manuscript. Online. Available: Www.cs.washington.edu/homes/ cary
21. C. P. Schnorr and M. Euchner, "Lattice basis reduction: Improved practical algorithms and solving subset sum problems," Math. Program., vol. 66, no. 1-3, pp. 181-191, Aug. 1994.