English

Binary Error-Correcting Codes with Minimal Noiseless Feedback

Information Theory 2022-12-14 v2 Data Structures and Algorithms math.IT

Abstract

In the setting of error-correcting codes with feedback, Alice wishes to communicate a kk-bit message xx to Bob by sending a sequence of bits over a channel while noiselessly receiving feedback from Bob. It has been long known (Berlekamp, 1964) that in this model, Bob can still correctly determine xx even if 13\approx \frac13 of Alice's bits are flipped adversarially. This improves upon the classical setting without feedback, where recovery is not possible for error fractions exceeding 14\frac14. The original feedback setting assumes that after transmitting each bit, Alice knows (via feedback) what bit Bob received. In this work, our focus in on the limited feedback model, where Bob is only allowed to send a few bits at a small number of pre-designated points in the protocol. For any desired ϵ>0\epsilon > 0, we construct a coding scheme that tolerates a fraction 1/3ϵ 1/3-\epsilon of bit flips relying only on Oϵ(logk)O_\epsilon(\log k) bits of feedback from Bob sent in a fixed Oϵ(1)O_\epsilon(1) number of rounds. We complement this with a matching lower bound showing that Ω(logk)\Omega(\log k) bits of feedback are necessary to recover from an error fraction exceeding 1/41/4 (the threshold without any feedback), and for schemes resilient to a fraction 1/3ϵ1/3-\epsilon of bit flips, the number of rounds must grow as ϵ0\epsilon \to 0. We also study (and resolve) the question for the simpler model of erasures. We show that Oϵ(logk)O_\epsilon(\log k) bits of feedback spread over Oϵ(1)O_\epsilon(1) rounds suffice to tolerate a fraction (1ϵ)(1-\epsilon) of erasures. Likewise, our Ω(logk)\Omega(\log k) lower bound applies for erasure fractions exceeding 1/21/2, and an increasing number of rounds are required as the erasure fraction approaches 11.

Keywords

Cite

@article{arxiv.2212.05673,
  title  = {Binary Error-Correcting Codes with Minimal Noiseless Feedback},
  author = {Meghal Gupta and Venkatesan Guruswami and Rachel Yun Zhang},
  journal= {arXiv preprint arXiv:2212.05673},
  year   = {2022}
}
R2 v1 2026-06-28T07:30:19.266Z