A transient discrete-time queueing analysis of the ATM multiplexer
Performance Evaluation
MAC protocol and traffic scheduling for wireless ATM networks
Mobile Networks and Applications - Special issue on wireless LANs
Asynchronous Transfer Mode Networks: Performance Issues,Second Edition
Asynchronous Transfer Mode Networks: Performance Issues,Second Edition
Discrete-Time Models for Communication Systems Including ATM
Discrete-Time Models for Communication Systems Including ATM
Performance '84 Proceedings of the Tenth International Symposium on Computer Performance Modelling, Measurement and Evaluation
Enhancing throughput over wireless LANs using channel state dependent packet scheduling
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Rate control for robust video transmission over burst-error wireless channels
IEEE Journal on Selected Areas in Communications
Adaptive radio for multimedia wireless links
IEEE Journal on Selected Areas in Communications
Capturing important statistics of a fading/shadowing channel for network performance analysis
IEEE Journal on Selected Areas in Communications
Computers and Operations Research
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In this paper, we study the effect of channel errors on wireless ATM. The salient characteristic of the wireless channel is that it is time varying. This variability is modeled by a Markov chain with two states corresponding to high and low error states, respectively. The channel is modeled as being synchronous with the basic time unit being the slot. The transitions from high to low error states, and vice versa occur at the slot boundaries. It is assumed that no transmission over the channel is possible during the high-error state.The information source feeding into the channel is modeled as the superposition of independent sources. Each source is controlled by a two-state Markov chain which operates in synchronism with, but statistically independent of the channel. In the source Off state, no data is emitted while, in the On state, the source generates a random number of packets in a slot each of which fits into a channel slot.It is assumed that the traffic generated by all the sources will form a single global queue which will be served by the two-state Markov channel. A discrete-time queuing analysis derives the probability generating function (PGF) of the queue length under the assumption of an infinite buffer. From the PGF, we determine mean queue length and mean delay. Finally, numerical results are presented to demonstrate the effect of wireless channel error characteristics on performance.