Paper Info
Title
A Neural Network Based Adaptive Algorithm for Multimedia Quality Fairness in WLAN Environments
Abstract
This paper investigates multimedia quality fairness in wireless LAN environments where channel are error-prone due to mobility and fading. The experimental results show that using fixed MAC arguments for nodes in heterogeneous channel conditions leads to unequal throughput performance and that may incur the degradation of multimedia QoS. To overcome the unfairness problem for provisioning QoS, we propose a cross-layer adaptation scheme by on-line adapting the multidimensional MAC-layer backoff parameters depending on the application-layer QoS requirements and PHY-layer channel conditions. Our solution is based on an optimization approach which utilizes neural networks to learn the cross-layer function. Simulation results demonstrate that our adaptive scheme can tackle a variety of channel condition to provide fair throughput for nodes in heterogeneous channel conditions
Year
DOI
Venue
2006
10.1109/ICME.2006.262760
ICME
Keywords
Field
DocType
neural network,cross-layer adaptation scheme,quality of service,phy-layer,fading channels,heterogeneous channel condition,fading channel,adaptive algorithm,wlan environment,multimedia qos,medium access control,wireless channels,wireless local area network,access protocols,optimization approach,multimedia quality fairness,multidimensional systems,multidimensional mac-layer backoff parameter,wireless lan,multimedia communication,neural nets,intelligent networks,neural networks,throughput,cost function,degradation,phy layer,fading
Computer science,Fading,Quality of service,Computer network,Communication channel,Physical layer,Wi-Fi,Intelligent Network,Throughput,Adaptive algorithm,Multimedia
Conference
ISBN
Citations 
PageRank 
1-4244-0367-7
5
0.56
References 
Authors
4
2
Name
Order
Citations
PageRank
Chiapin Wang111710.51
T. Lin272467.09