Multilayer feedforward networks are universal approximators
Neural Networks
On the momentum term in gradient descent learning algorithms
Neural Networks
Distributed fair scheduling in a wireless LAN
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Ordered packet scheduling in wireless ad hoc networks: mechanisms and performance analysis
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Opportunistic media access for multirate ad hoc networks
Proceedings of the 8th annual international conference on Mobile computing and networking
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Adaptive cross-layer protection strategies for robust scalable video transmission over 802.11 WLANs
IEEE Journal on Selected Areas in Communications
An autonomic architecture for optimizing QoE in multimedia access networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Hi-index | 0.00 |
In error-prone IEEE 802.11 WLAN (Wireless Local Area Network) environments, heterogeneous link qualities can significantly affect channel utilizations of mobile stations and consequently the user-perceived QoS (Quality of Services) of multimedia applications. In this paper we propose a novel optimization framework which provides QoS by adjusting IWSs (Initial Window Size) according to current channel states and QoS requirements. It is a table-driven approach which off-line pre-establishes the table of the best IWSs based on a cost-reward function. Neural networks are utilized to learn the mapping correlation and then to generalize that to other situations of interest. At runtime, the IWS of each user can thus be determined optimally with a simple table lookup rapidly without much time spent on learning about the nonlinear and complicated correlation. A video streaming transmission scenario is used to evaluate the performance of our scheme. The simulation results demonstrate that the proposed mechanism can effectively provide QoS for each user when the capacity of the network is sufficient for the requirements of all users.