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  4. Accurate QoS Prediction for CSMA/CA Systems with Uncorrelated Interference
 
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2019
Conference Paper
Titel

Accurate QoS Prediction for CSMA/CA Systems with Uncorrelated Interference

Abstract
Coexistence of wireless systems in unlicensed bands is considered a severe performance bottleneck, given the heterogeneous and uncoordinated nature of the wireless technologies. A promising approach to address this issue is to apply cognitive radio (CR) techniques, which are capable of accurately predicting the quality-of-service (QoS). This enables highly reliable QoS management and performance guarantees for applications with strict requirements, such as industrial automation or connected driving. Furthermore, accurate QoS prediction is very important for the reliability of safety critical applications. To this end, we present a novel analytical model for predicting the probability distribution of the latency based on Markov Chains (MC) for transmission systems, which employ Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) as a medium access scheme. Further, we validate the high accuracy of the prediction model using ns-3 simulations of an IEEE 802.11n communication.
Author(s)
Schepker, Henning F.
Fraunhofer-Institut für Eingebettete Systeme und Kommunikationstechnik ESK
Saad, Ahmad
Fraunhofer-Institut für Eingebettete Systeme und Kommunikationstechnik ESK
Hauptwerk
IEEE 90th Vehicular Technology Conference, VTCFall 2019. Proceedings
Konferenz
Vehicular Technology Conference (VTC Fall) 2019
DOI
10.1109/VTCFall.2019.8891184
File(s)
N-565017.pdf (147.87 KB)
Language
English
google-scholar
ESK
Tags
  • Carrier Sense Multiple Access with Collision Avoidance

  • CSMA / CA

  • cognitive Radio

  • quality of service

  • QoS

  • prediction

  • QoS prediction

  • markov chain

  • IEEE 802.11n

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