Joint source-channel codes for MIMO block-fading channels

IEEE Transactions on Information Theory

Volumn 54, Issue 1, 2008, Pages 116-134

  Gunduz, Deniz ^a,b   Erkip, Elza ^a  

^a POLYTECHNIC UNIVERSITY   (United States)

^b Stanford University   (United States)

Author keywords

Broadcast codes; Distortion exponent; Diversity multiplexing gain tradeoff; Hybrid digital analog coding; Joint source channel coding; Multiple input multiple output (MIMO); Successive refinement

Indexed keywords

BANDWIDTH; CHANNEL STATE INFORMATION; FADING CHANNELS; MULTIPLEXING; SIGNAL DISTORTION; SIGNAL RECEIVERS; SIGNAL TO NOISE RATIO;

BROADCAST CODES; DISTORTION EXPONENT; FIGURE OF MERIT; JOINT SOURCE-CHANNEL CODING;

CHANNEL CODING;

EID: 38349193396     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIT.2007.911274     Document Type: Article

References (33)

1. L. Zheng and D. N. C. Tse, "Diversity and multiplexing: A fundamental tradeoff in multiple antenna channels," IEEE Trans. Inf. Theory, vol. 49, no. 5, pp. 1073-1096, May 2003.
2. J. N. Laneman, E. Martinian, G. W. Wornell, and J. G. Apostolopoulos, "Source-channel diversity for parallel channels," IEEE Trans. Inf. Theory, vol. 51, no. 10, pp. 3518-3539, Oct. 2005.
3. D. Gündüz and E. Erkip, "Joint source-channel cooperation: Diversity versus spectral) efficiency," in Proc. IEEE Int. Symp. Information Theory (ISIT, Chicago, IL, Jun./Jul. 2004, p. 392.
4. D. Gündüz and E. Erkip, "Source and channel coding for cooperative relaying," in Proc. IEEE Int. Workshop on Signal Processing Advances for Wireless Communications (SPAWC), New York City, Jun. 2005, pp. 950-954.
5. D. Gündüz and E. Erkip, "Source and channel coding for cooperative relaying," IEEE Trans. Inf. Theory, vol. 53, no. 10, pp. 3454-3475, Oct. 2007.
6. D. Gündüz and E. Erkip, "Source and channel coding for quasistatic fading channels," in Proc. 39th Asilomar Conf. Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2005, pp. 18-22.
7. D. Gündüz and E. Erkip, "Distortion exponent of MIMO fading channels," in Proc. IEEE Information Theory Workshop, Punta del Este, Uruguay, Mar. 2006.
8. D. Gündüz and E. Erkip, "Distortion exponent of parallel channels," in Proc. IEEE Int. Symp. Information Theory (ISIT , Seattle, WA, Jul. 2006, pp. 694-698.
9. T. Holliday and A. Goldsmith, "Joint source and channel coding for MIMO systems," in Proc. Allerton Conf. Communications, Control, and Computing, Monticello, IL, Oct. 2004.
10. U. Mittal and N. Phamdo, "Hybrid digital-analog joint source-channel codes for broadcasting and robust communications," IEEE Trans. Inf. Theory, vol. 48, no. 5, pp. 1082-1102, May 2002.
11. G. Caire and K. Narayanan, "On the SNR exponent of hybrid digital-analog space time coding," in Proc. Allerton Conf. Communications, Control, and Computing, Monticello, IL, Sep. 2005.
12. K. Bhattad, K. R. Narayanan, and G. Caire, "On the distortion exponent of some layered transmission schemes," in Proc. Asilomar Conf. Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2006.
13. K. Bhattad, K. R. Narayanan, and G. Caire, "On the distortion SNR exponent of some layered transmission schemes," IEEE Trans. Inf. Theory, submitted for publication.
14. B. P. Dunn and J. N. Laneman, "Characterizing source-channel diversity approaches beyond the distortion exponent," in Proc. Allerton Conf. Communications, Control, and Computing, Monticello, IL, Sep. 2005.
15. K. Zachariadis, M. L. Honig, and A. K. Katsaggelos, "Source fidelity over fading channels: Erasure codes versus scalable codes," IEEE Trans. Commun., submitted for publication.
16. S. Sesia, G. Caire, and G. Vivier, "Lossy transmission over slow-fading AWGN channels: A comparison of progressive, superposition and hybrid approaches," in Proc. IEEE Inte. Symp. Information Theory (ISIT), Adelaide, Australia, Sep. 2005, pp. 224-228.
17. F. Etemadi and H. Jafarkhani, "Optimal layered transmission over quasistatic fading channels," in Proc. IEEE Int. Symp. Information Theory (ISIT), Seattle, WA, Jul. 2006, pp. 1051-1055.
18. F. Etemadi and H. Jafarkhani, "Optimal rate and power allocation for layered transmission with superposition coding," in Proc. IEEE Data Compression Conference (DCC'07), Salt Lake City, UT, Mar. 2007, pp. 353-362.
19. C. T. K. Ng, D. Gündüz, A. J. Goldsmith, and E. Erkip, "Minimum expected distortion in Gaussian joint source-channel layered broadcast coding," in Proc. IEEE Int. Symp. Information Theory (ISIT), Nice, France, Jun. 2007, pp. 2226-2230.
20. C. T. K. Ng, D. Gündüz, A. J. Goldsmith, and E. Erkip, "Recursive power allocation in Gaussian joint source-channel layered broadcast coding," in Proc. IEEE Int. Conf. Communications (ICC 2007), Glasgow, Scotland, Jun. 2007, pp. 889-896.
21. C. T. K. Ng, D. Gündüz, A. J. Goldsmith, and E. Erkip, "Optimal power distribution and minimum expected distortion in Gaussian layered broadcast coding with successive refinement," IEEE Trans. Inf. Theory, submitted for publication.
22. C. Tian, A. Steiner, S. Shamai (Shitz), and S. Diggavi, "Expected distortion for Gaussian source with a broadcast transmission strategy over a fading channel," in Proc. IEEE Information Theory Workshop Bergen, Norway, Sep. 2007, pp. 1-5.
23. W. Equitz and T. Cover, "Successive refinement of information," IEEE Trans. Inf. Theory, vol. 37, no. 2, pp. 269-275, Mar. 1991.
24. I. Kozintsev and K. Ramchandran, "Multiresolution joint source-channel coding using embedded constellations for power-constrained time-varying channels," in Proc. 1996 IEEE Int. Confe. Acoustics, Speech, and Signal Processing (ICASSP), Atlanta, GA, May 1996, pp. 2343-2346.
25. I. Kozintsev and K. Ramchandran, "Robust image transmission over energy-constrained time-varying channels using multiresolution joint source-channel coding," IEEE Trans. Signal Process., vol. 46, no. 4, pp. 1012-1026, Apr. 1998.
26. S. Shamai (Shitz), "A broadcast strategy for the Gaussian slowly fading channel," in Proc. Int. Symp. Information Theory (ISIT , Ulm, Germany, Jun. 1997, p. 150.
27. S. Shamai (Shitz) and A. Steiner, "A broadcast approach for a single-user slowly fading MIMO channel," IEEE Trans. Inf. Theory, 49, no. 10, pp. 2617-2635, Oct. 2003.
28. S. Diggavi and D. N. C. Tse, "Fundamental limits of diversity-embedded codes over fading channels," in Proc. IEEE Int. Symp. Information Theory (ISIT), Adelaide, Australia, Sep. 2005, pp. 510-514.
29. S. Diggavi and D. N. C. Tse, "On opportunistic codes and broadcast codes with degraded message set," in Proc. 2006 IEEE Information Theory Workshop (ITW 2006), Punta del Este, Uruguay, Mar. 2006.
30. Y. Liu, K. N. Lau, O. Y. Takeshita, and M. P. Fitz, "Optimal rate allocation for superposition coding in quasi-static fading channels," in Proc. IEEE Int. Symp. Information Theory (ISIT , Lausanne, Switzerland, Jun./Jul. 2002, p. 111.
31. T. Berger, Rate Distortion Theory: A Mathematical Basis for Data Compression. Englewood Cliffs, NJ: Prentice-Hall, 1971.
32. T. Linder and R. Zamir, "On the asymptotic tightness of the Shannon lower bound," IEEE Trans. Inf. Theory, vol. 40, no. 6, pp. 2026-2031, Nov. 1994.
33. L. Lastras and T. Berger, "All sources are nearly successively refinable," IEEE Trans. Inf. Theory, vol. 47, no. 3, pp. 918-926, Mar. 2000.