Finite-Length Analysis of Frameless ALOHA with Multi-User Detection
Information Theory
2017-01-01 v1 math.IT
Abstract
In this paper we present a finite-length analysis of frameless ALOHA for a k multi-user detection scenario, i.e., assuming the receiver can resolve collisions of size k or smaller. The analysis is obtained via a dynamical programming approach, and employed to optimize the scheme's performance. We also assess the optimized performance as function of k. Finally, we verify the presented results through Monte Carlo simulations.
Cite
@article{arxiv.1612.06646,
title = {Finite-Length Analysis of Frameless ALOHA with Multi-User Detection},
author = {Francisco Lazaro and Cedomir Stefanovic},
journal= {arXiv preprint arXiv:1612.06646},
year = {2017}
}
Comments
Accepted for publication in IEEE Communication Letters. arXiv admin note: text overlap with arXiv:1610.09182