A cross-layer adaptation scheme for improving IEEE 802.11e QoS by learning.
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.
Wang
Chiapin
C
Lin
Po-Chiang
PC
Lin
Tsungnan
T
D000465:Algorithms; D003195:Computer Communication Networks; D016247:Information Storage and Retrieval / Q000379:methods* / Q000592:standards; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods*; D011786:Quality Control; D012815:Signal Processing, Computer-Assisted; D014481:United States