Title :
A link adaptation approach for QoS enhancement in wireless networks
Author :
Ci, Song ; Sharif, Hamid ; Young, Albert
Author_Institution :
Dept of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
Abstract :
We propose a new link adaptation approach for QoS enhancement in wireless networks. We utilize the Kalman filter, which predicts the local optimal frame size based on the channel quality varying based on the derived channel model. We have also presented the simulations and experimental results. The results show that the performance of proposed predictor is much better than other prediction methods like the moving average
Keywords :
Kalman filters; fading channels; filtering theory; indoor radio; multipath channels; prediction theory; quality of service; radio links; radio networks; time-varying channels; IEEE 802.11b wireless LAN specification; Kalman filter; QoS enhancement; channel quality; indoor channel model; link adaptation; local optimal frame size; moving average; multipath fading; predictor performance; simulation; simulations; time-varying channel; wireless networks; Algorithm design and analysis; Analytical models; Bit error rate; Equations; Intelligent networks; Kalman filters; Predictive models; Quality of service; Wireless networks; Wireless sensor networks;
Conference_Titel :
Local Computer Networks, 2001. Proceedings. LCN 2001. 26th Annual IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7695-1321-2
DOI :
10.1109/LCN.2001.990810
