Quadratically Constrained Channels with Causal Adversaries
Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg and, Anand D. Sarwate

TL;DR
This paper characterizes the capacity of a communication channel with a causal adversarial jammer under quadratic power constraints, revealing that non-uniform power allocation can outperform uniform strategies in certain scenarios.
Contribution
It provides the first characterization of the capacity for channels with causal jamming adversaries under quadratic constraints, including analytical and numerical bounds.
Findings
Optimal capacity characterized as a limit of optimization problems
Non-uniform power allocation can achieve higher rates than uniform allocation
Bounds on capacity are provided both analytically and numerically
Abstract
We consider the problem of communication over a channel with a causal jamming adversary subject to quadratic constraints. A sender Alice wishes to communicate a message to a receiver Bob by transmitting a real-valued length- codeword through a communication channel. Alice and Bob do not share common randomness. Knowing Alice's encoding strategy, an adversarial jammer James chooses a real-valued length-n noise sequence in a causal manner, i.e., each can only depend on . Bob receives , the sum of Alice's transmission and James' jamming vector , and is required to reliably estimate Alice's message from this sum. In addition, Alice and James's transmission powers are restricted by quadratic constraints and . In this work, we characterize the channel capacity for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · DNA and Biological Computing · Cooperative Communication and Network Coding
