Today, maintaining the best quality of experience (QoE) as the subjective perception of end-users is one of the most important requirements of both wireless and wired networks. To achieve this goal, we frequently use network functions such as admission control, resource management, routing and traffic control. We focus on the design and evaluation of a QoE-aware routing mechanism. We present an end-to-end model where Smartphone users connect to content servers through a wired network across a wireless access network. We propose an adaptive and evolutionary system with a QoE-aware routing protocol, namely QoE Q-learning-based adaptive routing. Our experimental results demonstrate significant performance improvements in mean opinion score for various network loads, convergence time during the initialisation phase and control overheads over other traditional approaches.
|Number of pages||14|
|Journal||Transactions on emerging telecommunications technologies|
|State||Published - Apr 2013|
ASJC Scopus subject areas
- Electrical and Electronic Engineering