Title
Medical QoS provision based on reinforcement learning in ultrasound streaming over 3.5G wireless systems
Abstract
The design of an efficient mobile healthcare system using 3.5G and 4G wireless networks is a challenging problem especially for bandwidth demanding telemedical applications. In this paper, we focus on the concept of medical Quality of Service (m-QoS) applied to a typical bandwidth demanding m-health application. Based on this concept, we propose a novel multiobjective rate-control mechanism for the optimized delivery of diagnostically acceptable ultrasound video images over 3.5G wireless networks. The performance of the proposed algorithm has been evaluated via both simulations and experimental studies. The proposed optimal rate control algorithm achieved performance improvements that are compatible with the medical QoS requirements.
Year
DOI
Venue
2009
10.1109/JSAC.2009.090517
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
performance improvement,efficient mobile healthcare system,medical qos provision,wireless network,diagnostically acceptable ultrasound video,medical qos requirement,proposed optimal rate control,experimental study,challenging problem,proposed algorithm,wireless system,typical bandwidth,mobile computing,reinforcement learning,bandwidth,medical simulation,quality of service,ultrasonography,learning artificial intelligence,optimal control,q learning,wireless networks,ultrasound,biomedical imaging
Mobile computing,Wireless network,Mobile radio,Wireless,Computer science,Quality of service,Computer network,Q-learning,Bandwidth (signal processing),Reinforcement learning
Journal
Volume
Issue
ISSN
27
4
0733-8716
Citations 
PageRank 
References 
34
2.13
21
Authors
3
Name
Order
Citations
PageRank
Robert S. H. Istepanian110913.22
Nada Y. Philip2566.13
Maria G. Martini349857.74