SVM-Based Models for Predicting WLAN Traffic

@article{Feng2006SVMBasedMF,
  title={SVM-Based Models for Predicting WLAN Traffic},
  author={Huifang Feng and Yantai Shu and Shuyi Wang and Maode Ma},
  journal={2006 IEEE International Conference on Communications},
  year={2006},
  volume={2},
  pages={597-602}
}
A novel type of learning machine called support vector machine (SVM) has been receiving increasing interests in the areas ranging from its original application in pattern recognition to other applications such as regression estimation due to its remarkable generalization performance. In this paper, we employ the SVM to forecast traffic in WLANs. We study the issues of one-step-ahead prediction and multi-step-ahead prediction without any assumption on the statistical property of actual WLAN… CONTINUE READING