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Statistical multiple access gives opportunity to decrease bandwidth wastes in radio cellular networks when sources activities are variable. Usually, 2 states exponential ON-OFF models are used for voice sources and to study statistical multiplexing in telephony. In this paper, the authors propose a distributed algorithm based on a 3-states model with downlink activity detection for a refined prediction. The proposed algorithm makes the distinction between silent sources according to their downlink activities to enhance the statistical multiple access for telephony.
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