# Reliability-Latency Performance of Frameless ALOHA with and without   Feedback

**Authors:** Francisco L\'azaro, \v{C}edomir Stefanovi\'c, Petar Popovski

arXiv: 1907.06383 · 2020-07-07

## TL;DR

This paper analyzes the reliability and latency of frameless ALOHA, providing exact and approximate methods for performance evaluation, and demonstrates that feedback significantly enhances its performance.

## Contribution

It introduces a finite length analysis of frameless ALOHA, develops continuous approximations for key parameters, and proposes a feedback scheme to improve reliability.

## Key findings

- Feedback substantially improves frameless ALOHA performance
- Continuous approximations enable low-complexity error rate estimation
- Finite length analysis provides exact performance insights for moderate user numbers

## Abstract

This paper presents a finite length analysis of multi-slot type frameless ALOHA based on a dynamic programming approach. The analysis is exact, but its evaluation is only feasible for moderate number of users due to the computational complexity. The analysis is then extended to derive continuous approximations of its key parameters, which, apart from providing an insight into the decoding process, make it possible to estimate the packet error rate with very low computational complexity. Finally, a feedback scheme is presented in which the slot access scheme is dynamically adapted according to the approximate analysis in order to minimize the packet error rate. The results indicate that the introduction of feedback can substantially improve the performance of frameless ALOHA

## Full text

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## Figures

20 figures with captions in the complete paper: https://tomesphere.com/paper/1907.06383/full.md

## References

29 references — full list in the complete paper: https://tomesphere.com/paper/1907.06383/full.md

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Source: https://tomesphere.com/paper/1907.06383