Abstract
The future Internet will be highly heterogeneous in
supporting a multitude of
access technologies and networks with overlapping
coverages. Optimization of network
operations like management of resources, mobility or
Quality of Service in order to ensure
smooth network operation and high user satisfaction will
be very challenging in the future
networks. Cognitive network management can provide a
solution of managing such
complex systems. This paper studies cognitive network
management in the context of
optimizing video streaming performance in heterogeneous
multi-access networks. The
paper proposes a network management framework that relies
on cognitive decision techniques
in the joint optimization of network and video service
performance. The proposed
solution is also implemented and validated in part in a
testbed environment. The results
attest the feasibility of the solution as well as the
benefits of cognitive decision techniques
over non-learning or non-adaptive approaches.
Original language | English |
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Pages (from-to) | 1739-1769 |
Journal | Wireless Personal Communications |
Volume | 84 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2015 |
MoE publication type | A1 Journal article-refereed |
Keywords
- network management architecture
- decision algorithms
- video adaptation
- mobility management
- QoE
- testbed