The capacity of the intensity-modulation direct-detection (IM-DD) multiple-input multiple-output channel is studied under average and peak intensity constraints. We focus on the low signal-to-noise ratio (SNR) regime where the constraints proportionally vanish, or alternatively, where the noise power is large. A general upper bound on the capacity of this channel is derived. Then, this bound is shown to be tight at low SNR, where it coincides with the achievable rate of (i) on-off keying (OOK), spatial repetition coding, and maximum-ratio combining under individual average constraint and (ii) OOK with maximally-correlated inputs under a sum average constraint. This leads to a low-SNR capacity characterization of the channel.
|Original language||English (US)|
|Title of host publication||2018 IEEE International Symposium on Information Theory, ISIT 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|State||Published - Aug 15 2018|
|Event||2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States|
Duration: Jun 17 2018 → Jun 22 2018
|Name||IEEE International Symposium on Information Theory - Proceedings|
|Conference||2018 IEEE International Symposium on Information Theory, ISIT 2018|
|Period||06/17/18 → 06/22/18|
Bibliographical noteFunding Information:
Z. Rezki is with the Department of Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA. Email: firstname.lastname@example.org. His work is supported in part by the Qatar National Research Fund (a member of Qatar Foundation) under Grant NPRP 9-077-2-036. The statements made herein are solely the responsibility of the authors.
A. Chaaban is with the School of Engineering, University of British Columbia, Kelowna, BC V1Y 1V7, Canada. Email: email@example.com. His work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).
© 2018 IEEE.
ASJC Scopus subject areas
- Theoretical Computer Science
- Information Systems
- Applied Mathematics
- Modeling and Simulation