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Accurate QoS Prediction for CSMA/CA Systems with Uncorrelated Interference

: Schepker, Henning F.; Saad, Ahmad

Postprint urn:nbn:de:0011-n-5650175 (147 KByte PDF)
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Created on: 13.11.2019

Institute of Electrical and Electronics Engineers -IEEE-:
IEEE 90th Vehicular Technology Conference, VTCFall 2019. Proceedings : Honolulu, Hawaii, 22-25 September 2019
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-1220-6
ISBN: 978-1-7281-1219-0
ISBN: 978-1-7281-1221-3
7 pp.
Vehicular Technology Conference (VTC Fall) <90, 2019, Honolulu/Hawaii>
Conference Paper, Electronic Publication
Fraunhofer ESK ( IKS) ()
Carrier Sense Multiple Access with Collision Avoidance; CSMA / CA; cognitive Radio; quality of service; QoS; prediction; QoS prediction; markov chain; IEEE 802.11n

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.