Dynamic and robust capacity allocation in wireless networks carrying heterogeneous traffics

We consider wireless networks carrying heterogeneous traffics. We assume that the characteristics of the traffic classes are time varying: at each point in time, a traffic class is described by a process randomly selected from within a set of non parametrically defined stochastic processes.For the wireless environment described above, we compare two multiplexing transmission techniques: a dynamic Time-Division-Based and a dynamic CDMA-Based techniques, in terms of a number of pertinent performance metrics. The dynamics of both techniques manifest themselves as dynamic capacity allocations to the various traffic classes and are implemented via the deployment of a Robust Traffic Monitoring Algorithm (RTMA). The performance metrics studied include delays, traffic rejection rates and wasted capacity rates. Qualitatively speaking, a major controlling factor in the choice among the Time-Division-Based and the CDMA-Based techniques is the speed of the transmission channel: high speeds favor CDMA-Based transmissions.