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
Link To Document :
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