Speech multiplexing in wireless PCS employing resource auction multiple access (RAMA)

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Abstract
The excess capacity of the access mechanism in resource auction multiple access (RAMA) is evaluated for statistical multiplexing of speech. The aim is to exploit this excess capacity to increase the number of subscribers for a given bandwidth. It is shown that, for packet dropping probabilities of 1%, RAMA can have a multiplexing gainas high as 2.56 with fast speech detection and 2.2 with slow speech detection. The simulation results also indicate that RAMA is suitable for fast handoffs and resource allocation with statistical speech multiplexing over areas with a wide variety of cell sizes.

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