Quality Queue Management for Future Wireless Networks
Citation:
Gianluigi Pibiri, Quality Queue Management for Future Wireless Networks, Trinity College Dublin, 2017Download Item:
Abstract:
Wireless networking protocols and mobile devices are key contributors to the ever-growing demand
for realtime services. These large throughput services are often prioritised and managed
using specialised traffic policies. Today’s wireless networks will be replaced by their newer,
faster, less expensive counterparts in the very near future. These Very High Throughput networks
will deliver a significant increase in throughput and a reduction in effective cost.
Realtime services are sensitive to packet loss and delay, and their successful delivery demands
a high standard of Quality of Service (QoS). The quality perceived by the final user is
measured as the Quality of Experience (QoE). Hence, Telephone Companies (TELCOs) aim to
provide realtime services with the best QoE possible.
This thesis aims to extend the provision of QoE to realtime services on future wireless networks.
The first contribution of this work is a novel metric, the expected Quality of Service (eQoS),
that estimates QoE on future wireless networks using combinatorics. eQoS provides an almost
instantaneous estimate of the QoE at the node and is inferred from the traffic flows crossing the
node. It provides a statistical estimate of the end user perception of the network’s quality.
The second contribution is a theoretical model to capture the probability of successful and
unsuccessful channel access on a future wireless network. This theoretical model uses combinatorics
to calculate the probabilities that (i) a collision occurs, (ii) a packet is transmitted and
(iii) the channel is idle.
The third contribution is to converge eQoS and the theoretical model into the Quality Queue Management (QQM) system for future wireless networks. QQM is designed using fuzzy logic
controllers, it manages wireless resources with the goal of providing real time traffic flows with
the best QoE possible in the network. QQM incorporates eQoS and is a robust, efficient, scalable
means of managing realtime services on future wireless networks. The novelty of the QQM
system is to use eQoS to manage network parameters.
The QQM system optimises the throughput between the flows, manages the queues and
provides the maximum number of realtime services with the best quality possible.
Author's Homepage:
http://people.tcd.ie/pibirigDescription:
PUBLISHED
Author: PIBIRI, GIANLUIGI
Advisor:
Huggard, MerielQualification name:
PhDPublisher:
Trinity College DublinType of material:
ThesisCollections
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