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 gain as high as 2.56 with cast speech detection and 2-2 with slow speech detection. The simulation results also indicate that RAMA is suitable for cast handoffs and resource allocation with statistical speech multiplexing over areas with a wide variety of cell sizes
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