Variable-Length Sparse Feedback Codes for Point-to-Point, Multiple Access, and Random Access Channels

TL;DR

This paper develops variable-length stop-feedback coding schemes for different channel models, optimizing decoding times and feedback to improve communication efficiency with minimal feedback overhead.

Contribution

It introduces novel variable-length stop-feedback codes with optimized decoding times for point-to-point, multiple access, and random access channels, including asymptotic rate analysis.

Findings

Achieves asymptotic rate approximations based on error probability and decoding times.

Designs codes with sparse feedback requiring only a few decoding opportunities.

Provides a converse bound for uniform decoding time spacing in point-to-point channels.

Abstract

This paper investigates variable-length stop-feedback codes for memoryless channels in point-to-point, multiple access, and random access communication scenarios. The proposed codes employ $L$ decoding times $n_1, n_2, \dots, n_L$ for the point-to-point and multiple access channels and $KL + 1$ decoding times for the random access channel with at most $K$ active transmitters. In the point-to-point and multiple access channels, the decoder uses the observed channel outputs to decide whether to decode at each of the allowed decoding times $n_1, \dots, n_L$, at each time telling the encoder whether or not to stop transmitting using a single bit of feedback. In the random access scenario, the decoder estimates the number of active transmitters at time $n_0$ and then chooses among decoding times $n_{k, 1}, \dots, n_{k, L}$ if it believes that there are $k$ active transmitters. In all cases, the choice of allowed decoding times is part of the code design; given fixed value $L$, allowed decoding times are chosen to minimize the expected decoding time for a given codebook size and target average error probability. The number $L$ in each scenario is assumed to be constant even when the blocklength is allowed to grow; the resulting code therefore requires only sparse feedback. The central results are asymptotic approximations of achievable rates as a function of the error probability, the expected decoding time, and the number of decoding times. A converse for variable-length stop-feedback codes with uniformly-spaced decoding times is included for the point-to-point channel.