Performance of a priority-based dynamic capacity allocation scheme for wireless ATM systems

Performance of a priority-based dynamic capacity allocation suitable for wi reless ATM systems is presented. The scheduling of ATM cell transmission in each uplink TDMA frame is based on a priority scheme with priority given t o real-time traffic over nonreal-time traffic. Real-time traffic exceeding the uplink capacity is lost while nonreal-time traffic that cannot be serve d is stored in a curse-in first-out (FIFO) queue. An analytical model is de veloped to evaluate the tell loss ratio (CLR) of both real-time and nonreal -time traffic. Aggregate voice, video, and data traffic is modeled by three two-state Markov-modulated Poisson processes (MMPPs). Analytical results f or different system capacities and various traffic loads and scenarios are discussed. Simulation results with on-off sources and approximating MMPP so urces are also presented.