Published December 1, 2023
| in press
Journal Article
Variable-Length Sparse Feedback Codes for Point-to-Point, Multiple Access, and Random Access 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 ,…, nL 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 ,…, nL , 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 ,…, 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.
Copyright and License
© 2023 IEEE.
Additional Information
When this work was completed, R. C. Yavas, V. Kostina, and M. Effros were all with the Department of Electrical Engineering, California Institute of Technology, Pasadena, CA.
This work was supported in part by the National Science Foundation (NSF) under grant CCF-1817241 and CCF-1956386. This paper was presented in part at ISIT 2021 [1] and at ITW 2021 [2].
Additional details
- ISSN
- 1557-9654
- National Science Foundation
- CCF-1817241
- National Science Foundation
- CCF-1956386