We propose an efficient way to support quality of service of multiple real-
time data users sharing a wireless channel. We show how scheduling algorith
ms exploiting asynchronous variations of channel quality can be used to max
imize the channel capacity (i.e., maximize the number of users that can be
supported with the desired QoS).