Minimizing the energy per bit for pilot-assisted data transmission over quantized channels

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Volumn 2014-June, Issue , 2014, Pages 81-85

  Bai, Qing ^a   Mittmann, Ulrich ^a   Mezghani, Amine ^a   Nossek, Josef A ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANALOG TO DIGITAL CONVERSION; ANTENNAS; CHANNEL STATE INFORMATION; ENERGY EFFICIENCY; ENERGY UTILIZATION; FADING (RADIO); FADING CHANNELS; RADIO COMMUNICATION; RECEIVING ANTENNAS; SIGNAL RECEIVERS; TURBO CODES;

ANALOG TO DIGITAL CONVERTERS; CAPACITY LOWER BOUND; ENERGY CONSUMPTION MODEL; ENERGY EFFICIENT OPERATIONS; JOINT OPTIMIZATION; MULTI-ANTENNA RECEIVERS; QUANTIZED CHANNELS; RAYLEIGH BLOCK FADING CHANNELS;

SIGNAL TO NOISE RATIO;

EID: 84944324309     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PIMRC.2014.7136137     Document Type: Conference Paper

References (13)

1. A. J. Goldsmith and P. P. Varaiya, Capacity of fading channels with channel side information, IEEE Trans. on Information Theory, vol. 43, no. 6, pp. 1986-1992, November 1997
2. L. Tong, B. M. Sadler and M. Dong, Pilot-assisted wireless transmis-sions: general model, design criteria, and signal processing, IEEE Signal Processing Magazine, vol. 21, no. 6, pp. 12-25, November 2004
3. B. Hassibi and B. M. Hochwald, How much training is needed in multIPle-antenna wireless links?, IEEE Trans. on Information Theory, vol. 49, no. 4, pp. 951-963, April 2003
4. M. C. Gursoy, On the capacity and energy efficiency of training-based transmissions over fading channels, IEEE Trans. on Information Theory, vol. 55, no. 10, pp. 4543-4567, October 2005
5. B. Murmann, AD converter trends: power dissIPation, scaling and digitally assisted architectures, in Proc. IEEE Custom Integrated Circuits Conference, pp. 105-112, September 2008
6. A. Mezghani and J. A. Nossek, Analysis of Rayleigh-fading channels with 1-bit quantized output, in Proc. IEEE International Symposium on Information Theory, pp. 260-264, July 2008
7. J. Singh, O. Dabeer and U. Madhow, On the limits of communication with low-precision analog-to-digital conversion at the receiver, IEEE Trans. on Communications, vol. 57, no. 12, pp. 3629-3639, December 2009
8. Q. Bai, A. Mezghani and J. A. Nossek, On the optimization of ADC res-olution in multi-antenna systems, in Proc. 10th International Symposium on Wireless Communication Systems, August 2013
9. J. J. Bussgang, Crosscorrelation functions of amplitude-distorted Gaus-sian signals, Technical report no. 216, MIT, Cambridge, MA, March 1952
10. A. Mezghani and J. A. Nossek, Capacity lower bound of MIMO channels with output quantization and correlated noise, in Proc. IEEE International Symposium on Information Theory, Cambridge, MA, USA, July 2012
11. J. Max, Quantizing for minimum distortion, IEEE Trans. on Information Theory, vol. 6, no. 1, pp. 7-12, March 1960
12. A. Gersho and R. M. Gary, Vector quantization and signal compression, Springer, 1992
13. H. S. Lee and C. G. Sodini, Analog-to-digital converters: digitizing the analog world, Proceedings of the IEEE, vol. 96, no. 2, pp. 323-334, February 2008