Cross-layer queueing analysis for aggregated ON–OFF arrivals with adaptive modulation and coding

Packet loss and delay in wireless networks is a function of both the traffic characteristics (e.g. load, burstiness) and the characteristic behaviour of the fading channel. In this study, the authors propose and analyse a new queue model in which the server process is controlled by the adaptive modu...

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Bibliographic Details
Published in:IET communications Vol. 10; no. 17; pp. 2336 - 2343
Main Authors: Han, Xingyu, Schormans, John
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 24.11.2016
Subjects:
adaptive codes
adaptive coding
adaptive modulation
adaptive modulation and coding algorithm
Arrivals
Behavior
Channels
Coding
cross‐layer queueing analysis
Delay
Fading
fading channel modelling
fading channels
Modulation
packet delay
packet drop probability
packet loss probability
packet radio networks
Poisson arrivals
queueing models
queueing theory
server
telecommunication traffic
Wireless networks
wireless packet network
adaptive modulation
server
queueing theory
fading channel modelling
wireless networks
cross-layer queueing analysis
adaptive codes
Poisson arrivals
packet radio networks
adaptive modulation and coding algorithm
packet drop probability
fading channels
wireless packet network
packet loss probability
adaptive coding
packet delay
telecommunication traffic
queueing models
ISSN:1751-8628, 1751-8636
Online Access:Get full text
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Summary:Packet loss and delay in wireless networks is a function of both the traffic characteristics (e.g. load, burstiness) and the characteristic behaviour of the fading channel. In this study, the authors propose and analyse a new queue model in which the server process is controlled by the adaptive modulation and coding (AMC) algorithm, and with aggregated ON–OFF packet arrivals to a finite buffer. In the scenarios, where users require multiple services, aggregated ON–OFF arrivals approximate bursty behaviour better than the Poisson arrivals analysed in many earlier queueing models. They focus on the packet drop probability, the packet loss probability, the average queueing delay and the throughput, showing significant differences in these metrics between the cross-layer models using aggregated ON–OFF arrivals and Poisson arrivals. This indicates that in wireless packet network performance evaluation, the traffic model is at least as important as the effect of the fading channel modelling.
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ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2015.0704