Finite-Length Analysis of Frameless ALOHA with Multi-User Detection

Francisco Lazaro; Cedomir Stefanovic

doi:10.1109/LCOMM.2016.2643633

Finite-Length Analysis of Frameless ALOHA with Multi-User Detection

Francisco Lazaro, Cedomir Stefanovic

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

11 Citationer (Scopus)

Abstract

In this letter, 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 a function of k. Finally, we verify the presented results through Monte Carlo simulations.

Originalsprog	Engelsk
Tidsskrift	I E E E Communications Letters
Vol/bind	21
Udgave nummer	4
Sider (fra-til)	769-772
Antal sider	4
ISSN	1089-7798
DOI	https://doi.org/10.1109/LCOMM.2016.2643633
Status	Udgivet - apr. 2017

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10.1109/LCOMM.2016.2643633

https://arxiv.org/pdf/1612.06646.pdf

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Citationsformater

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abstract = "In this letter, 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 a function of k. Finally, we verify the presented results through Monte Carlo simulations.",

author = "Francisco Lazaro and Cedomir Stefanovic",

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AU - Stefanovic, Cedomir

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AB - In this letter, 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 a function of k. Finally, we verify the presented results through Monte Carlo simulations.

U2 - 10.1109/LCOMM.2016.2643633

DO - 10.1109/LCOMM.2016.2643633

M3 - Journal article

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JO - I E E E Communications Letters

JF - I E E E Communications Letters

IS - 4

ER -

Finite-Length Analysis of Frameless ALOHA with Multi-User Detection

Abstract

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