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Multi-Access Spreading over Time: MAST

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Abstract

In this paper, we consider a multi-access communication channel with many transmitters that randomly enter a channel and send their data to a receiver. The transmitters are not synchronized and the receiver does not send any feedback to the transmitters. We propose a Medium Access Control (MAC) protocol, which we call Multi-Access Spreading over Time (MAST). In this protocol, in order to mitigate the effects of user interference, each transmitter spreads its access over a time frame that is much larger than its encoded and modulated packet size. In order to perform this operation, the transmitters choose a spreading matrix from a set, which is known by all the transmitters and the receiver. We obtain the packet decoding probability analytically under user interference conditions, and substantiate our results with simulations. We finally compare the symbol-error probability performance of our protocol with the one of the Zig-zag protocol, and show that MAST outperforms the Zig-zag protocol under the same spreading conditions in both low and high signal-to-noise ratio regimes.

OriginalspracheEnglisch
Titel des SammelwerksMSWiM 2019
UntertitelProceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
Herausgeber (Verlag)Association for Computing Machinery, Inc
Seiten261-270
Seitenumfang10
ISBN (elektronisch)9781450369046
DOIs
PublikationsstatusVeröffentlicht - 25 Nov. 2019
Veranstaltung22nd ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM 2019 - Miami Beach, USA / Vereinigte Staaten
Dauer: 25 Nov. 201929 Nov. 2019

Konferenz

Konferenz22nd ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM 2019
Land/GebietUSA / Vereinigte Staaten
OrtMiami Beach
Zeitraum25 Nov. 201929 Nov. 2019

ASJC Scopus Sachgebiete

  • Computernetzwerke und -kommunikation
  • Modellierung und Simulation

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