Achieving Torn-Paper Channel Capacity with Successive Revelation

📅 2026-08-25
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
本文提出了一种通过将码字分割成交错轨道并依次解码的方法,以解决撕纸信道中的定位与负载率之间的权衡问题。
📝 Abstract
The torn-paper channel independently cuts a binary codeword at its internal boundaries and outputs the resulting oriented fragments as an unordered multiset. We consider the critical regime pN log N to alpha, in which the channel capacity is e to alpha. Existing coding schemes use a fixed-density pilot to localize fragments, creating a tradeoff between positional information and payload rate. This paper introduces successive revelation, which partitions the codeword into interleaved tracks and decodes them sequentially. Each recovered payload track becomes an additional positional reference for subsequent stages, allowing progressively shorter fragments to be localized. We establish a finite-track achievable rate whose gap to capacity is O 1 or M for M tracks. Consequently, for every rate below the channel capacity, a finite number of tracks yields a sequence of deterministic codes with vanishing average decoding error probability.
Problem

Research questions and friction points this paper is trying to address.

torn-paper channel
channel capacity
positional information
payload rate
decoding error probability
Innovation

Methods, ideas, or system contributions that make the work stand out.

successive revelation
interleaved tracks
positional reference
channel capacity
decoding error probability
🔎 Similar Papers
No similar papers found.
💼 Related Jobs
No related jobs found.
R
Rui Xu
KTH Royal Institute of Technology, Karolinska Institute, and Stockholm University
L
Le Wang
School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, 10044 Stockholm, Sweden