ISIT · 2018
Quadratically Constrained Channels with Causal Adversaries
IEEE International Symposium on Information Theory
What rates are possible when a jammer observes transmissions causally?
Capacity is characterized through a sequence of optimization problems under quadratic power constraints. Analytical and numerical bounds show that nonuniform power allocation can outperform uniform allocation in certain signal to noise regimes.
Research themes
Cite this paper
Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate. Quadratically Constrained Channels with Causal Adversaries. IEEE International Symposium on Information Theory, 2018. https://doi.org/10.1109/ISIT.2018.8437839
BibTeX
@inproceedings{tongxin-causal-channels,
title = {{Quadratically Constrained Channels with Causal Adversaries}},
author = {Tongxin Li and Bikash Kumar Dey and Sidharth Jaggi and Michael Langberg and Anand D. Sarwate},
year = {2018},
booktitle = {IEEE International Symposium on Information Theory},
url = {https://doi.org/10.1109/ISIT.2018.8437839},
doi = {10.1109/ISIT.2018.8437839}
}
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