Title :
A Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learning
Author :
Chiapin Wang ; Po-Chiang Lin ; Lin, T.
Author_Institution :
Graduate Inst. of Commun. Eng, Nat. Taiwan Univ., Taipei
Abstract :
In this letter, we propose a cross-layer adaptation scheme which improves IEEE 802.11e quality of service (QoS) by online adapting multidimensional medium access control (MAC)-layer parameters depending on the application-layer QoS requirements and physical layer (PHY) channel conditions. Our solution is based on an optimization approach which utilizes neural networks (NNs) to learn the cross-layer function. Simulations results demonstrate the effectiveness of our adaptation scheme
Keywords :
access protocols; neural nets; quality of service; wireless LAN; IEEE 802.11e quality of service; adaptive algorithm; cross-layer adaptation scheme; multidimensional medium access control; neural networks; Bit error rate; Media Access Protocol; Multidimensional systems; Neural networks; Physical layer; Quality of service; Standardization; Telecommunication traffic; Traffic control; Wireless LAN; Adaptive algorithm; IEEE 802.11e wireless local area networks (WLAN); neural networks (NNs); quality of service (QoS); Algorithms; Computer Communication Networks; Information Storage and Retrieval; Neural Networks (Computer); Pattern Recognition, Automated; Quality Control; Signal Processing, Computer-Assisted; United States;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2006.883014
