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

Francisco Lazaro, Cedomir Stefanovic

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

4 Citationer (Scopus)

Resumé

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.
OriginalsprogEngelsk
TidsskriftI E E E Communications Letters
Vol/bind21
Udgave nummer4
Sider (fra-til)769-772
Antal sider4
ISSN1089-7798
DOI
StatusUdgivet - apr. 2017

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Multiuser Detection
Multiuser detection
Resolve
Receiver
Collision
Programming
Monte Carlo Simulation
Optimise
Verify
Scenarios
Monte Carlo simulation

Citer dette

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Finite-Length Analysis of Frameless ALOHA with Multi-User Detection. / Lazaro, Francisco; Stefanovic, Cedomir.

I: I E E E Communications Letters, Bind 21, Nr. 4, 04.2017, s. 769-772.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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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.

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