Approaching MIMO capacity using bitwise Markov Chain Monte Carlo detection

IEEE Transactions on Communications

Volumn 58, Issue 2, 2010, Pages 423-428

  Chen, Rong Rong ^a   Peng, Ronghui ^a   Ashikhmin, Alexei ^b   Farhang Boroujeny, Behrouz ^a  

^a Department of Electrical and Computer Engineering   (United States)

^b LUCENT TECHNOLOGIES   (United States)

Author keywords

Channel capacity; LDPC codes; List sphere decoding; Markov chain Monte Carlo; MIMO detection

Indexed keywords

LDPC CODES; LIST SPHERE DECODING; LOG-MAP; LOG-MAP ALGORITHMS; LOW-DENSITY PARITY-CHECK CODES; MARKOV CHAIN MONTE CARLO; MIMO CAPACITY; MIMO DETECTION; MULTIPLE INPUT AND MULTIPLE OUTPUTS; NEAR-CAPACITY PERFORMANCE; SPECTRAL EFFICIENCIES; TURBO-CODED SYSTEMS;

CHANNEL CAPACITY; CONCATENATED CODES; DECODING; MARKOV PROCESSES; MIMO SYSTEMS; MONTE CARLO METHODS; RECEIVING ANTENNAS; SPECTRUM ANALYZERS; SPHERES; TERBIUM ALLOYS;

DETECTORS;

EID: 76949084194     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2010.02.080533     Document Type: Article

References (16)

1. E. Telatar, "Capacity of multi-antenna gaussian channels," European Trans. Telecommun., vol.10, no.6, pp. 585-595, Nov.-Dec. 1999.
2. G. 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, Aug. 1996.
3. B. M. Hochwald and S. ten Brink, "Achieving near-capacity on a multiple-antenna channel," IEEE Trans. Commun., vol.51, no.3, pp. 389-399, Mar. 2003.
4. H. Vikalo, B. Hassibi, and T. Kailath, "Iterative decoding for MIMO channels via modified sphere decoding," IEEE Trans. Wireless Commun., vol.3, no.6, pp. 2299-2311, Nov. 2004.
5. R. Wang and G. B. Giannakis, "Approaching MIMO channel capacity with soft detection based on hard sphere decoding," IEEE Trans. Commun., vol.54, no.4, Apr. 2006.
6. B. Farhang-Boroujeny, H. Zhu, and Z. Shi, "Markov Chain Monte Carlo techniques for CDMA and MIMO communication systems," IEEE Trans. Signal Process., vol.54, no.5, pp. 1896-1909, May 2006.
7. H. Zhu, B. Farhang-Beroujeny, and R. R. Chen, "On performance of sphere decoding and Markov Chain Monte Carlo methods," IEEE Signal Process. Lett., vol.12, no.10, pp. 669-672, Oct. 2005. (Pubitemid 41448571)
8. J. Jalden and B. Ottersten, "On the complexity of sphere decoding in digital communications," IEEE Trans. Signal Process., vol.53, no.4, pp. 1474-1484, 2005.
9. R.-R. Chen, B. Farhang-Boroujeny, and A. Ashikhmin, " Capacityapproaching LDPC codes based on Markov Chain Monte Carlo MIMO detection," in Proc. IEEE 6th. Workshop Signal Process. Advances Wireless Commun. SPAWC'05, NY, 2005, pp. 285-288. (Pubitemid 43959352)
10. S. A. Laraway and B. Farhang-Boroujeny, "Implementation of a Markov Chain Monte Carlo based multiuser/MIMO detector," IEEE Trans. Circuits Syst., 2008.
11. S. ten Brink, G. Kramer, and A. Ashikhmin, "Design of low-density parity-check codes for modulation and detection," IEEE Trans. Commun., vol.52, no.4, pp. 670-678, Apr. 2004.
12. J. Hagenauer, "The turbo principle: tutorial introduction and state of art," in Proc. Int. Symp. Turbo-codes Related Topics, Brest, France, Sept. 1997, pp. 1-11.
13. A. Doucet and X. Wang, "Monte Carlo methods for signal processing," IEEE Signal Process. Mag., vol.22, no.6, pp. 152-170, Nov. 2005.
14. P. Robertson, E. Villebrun, and P. Hoeher, "A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain," in Proc. IEEE Int. Conf. Commun., vol.2, Seattle, June 1995, pp. 1009- 1013.
15. A. Elkhazin, K. N. Plataniotis, and S. Pasupathy, "Reduced-dimension MAP turbo-blast detection," IEEE Trans. Commun., vol.54, no.1, pp. 108-118, Jan. 2006.
16. F. Vazquez-Araujo, M. Gonzalez-Lopez, and L. Castedo, "Exit functions of soft iterative MIMO detectors and their application to capacityapproaching coding," in IEEE Int. Conf. Acoustics, Speech Signal Process. (ICASSP'2007).