On rate scaling laws with CDF-based distributed scheduling in multicell networks

The rate scaling in a multiuser single cell scenario with opportunistic scheduling is well-known. However, the heterogeneous large scale channel effects of intercell interference in a multicell scenario complicate analysis of distributed scheduling based systems. In this paper, we investigate the rate scaling in a generic multiuser multicell downlink employing distributed scheduling. In order to guarantee fairness across users and simultaneously obtain multiuser diversity gain, a cumulative distribution function (CDF)-based scheduling policy is utilized and analyzed. The asymptotic (in users) analysis is performed to determine the limiting distribution of the signal-to-interference-plus-noise ratio, and to establish the individual scaling laws for an arbitrary scheduled user under the CDF-based scheduling in a multicell network.