Noise Recycling
Name
2006.04897.pdf
Description
Submitted version
Size
1.08 MB
Format
Unknown
Checksum (MD5)
dcd743a20739b16647e06db77e88c41f
Author(s)
Cohen, Alejandro
Solomon, Amit
Duffy, Ken R.
Médard, Muriel
Date Issued
June 2020
Journal
IEEE International Symposium on Information Theory - Proceedings
Publisher
IEEE
Citation
2020. "Noise Recycling." IEEE International Symposium on Information Theory - Proceedings, 2020-June.
Version
Original manuscript
Abstract
© 2020 IEEE. We introduce Noise Recycling, a method that enhances decoding performance of channels subject to correlated noise without joint decoding. The method can be used with any combination of codes, code-rates and decoding techniques. In the approach, a continuous realization of noise is estimated from a lead channel by subtracting its decoded output from its received signal. This estimate is then used to improve the accuracy of decoding of an orthogonal channel that is experiencing correlated noise. In this design, channels aid each other only through the provision of noise estimates post-decoding. In a Gauss-Markov model of correlated noise, we constructively establish that noise recycling employing a simple successive order enables higher rates than not recycling noise. Simulations illustrate noise recycling can be employed with any code and decoder, and that noise recycling shows Block Error Rate (BLER) benefits when applying the same predetermined order as used to enhance the rate region. Finally, for short codes we establish that an additional BLER improvement is possible through noise recycling with racing, where the lead channel is not pre-determined, but is chosen on the fly based on which decoder completes first.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ISIT44484.2020.9174406
