  This paper examines the impact of system parameters such as access point
density and bandwidth partitioning on the performance of randomly deployed,
interference-limited, dense wireless networks. While much progress has been
achieved in analyzing randomly deployed networks via tools from stochastic
geometry, most existing works either assume a very large user density compared
to that of access points which does not hold in a dense network, and/or
consider only the user signal-to-interference-ratio as the system figure of
merit which provides only partial insight on user rate, as the effect of
multiple access is ignored. In this paper, the user rate distribution is
obtained analytically, taking into account the effects of multiple access as
well as the SIR outage. It is shown that user rate outage probability is
dependent on the number of bandwidth partitions (subchannels) and the way they
are utilized by the multiple access scheme. The optimal number of partitions is
lower bounded for the case of large access point density. In addition, an upper
bound of the minimum access point density required to provide an asymptotically
small rate outage probability is provided in closed form.
