DocumentCode
2238370
Title
Reinforcement learning algorithm for optimised cross layer medical video streaming over WiMAX networks
Author
Alinejad, Ali ; Philip, Nada ; Istepanian, Robert
Author_Institution
Kingston Univ., London, UK
fYear
2010
fDate
21-23 July 2010
Firstpage
862
Lastpage
866
Abstract
The design of effective broadband mobile healthcare systems using emerging WiMAX networks is an important issue, especially for remote medical diagnostic systems. In this paper, we introduce a new cross layer design approach for medical video streaming in WiMAX networks. The proposed approach is based on optimising medical Quality of Service (m-QoS) in the network environments. Preliminary performance analysis of the proposed algorithm has been evaluated via simulation studies. These results show that the proposed cross layer optimizer achieved performance improvements that are compatible with the medical QoS requirements and constraints.
Keywords
WiMax; biomedical communication; broadband networks; health care; learning (artificial intelligence); mobile computing; mobile radio; quality of service; video streaming; WiMax networks; broadband mobile healthcare systems; cross layer design approach; m-QoS optimisation; medical quality of service; reinforcement learning algorithm; remote medical diagnostic systems; Cross layer design; Mobile communication; PSNR; Quality of service; Streaming media; Ultrasonic imaging; WiMAX;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems Networks and Digital Signal Processing (CSNDSP), 2010 7th International Symposium on
Conference_Location
Newcastle upon Tyne
Print_ISBN
978-1-4244-8858-2
Electronic_ISBN
978-1-86135-369-6
Type
conf
Filename
5580301
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