In recent years WLAN with IEEE 802.11 has been widely used for data communication these days there is also an increasing interest in Real-time traffic e.g. Voice, Video, Multimedia over wireless LANs because of its low cost. QOS support for real-time services in the IEEE 802.11 WLAN is a crucial matter. In order to raise the quality of service, we are putting forth a single, fair, dynamic channel grouping method in this project. Agglomerative Hierarchical Clustering is suggested as a method for station clustering, using fairness and throughput as matrices for level selection and distance measurement. Neural Networks can be used to estimate levels throughout form group clusters.