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In this paper, we present a detailed analysis of the coverage and spectralefficiency of a downlink cellular network. Rather than relying on the firstorder statistics of received signal-to-interference-ratio (SIR) such ascoverage probability, we focus on characterizing its meta-distribution. Ouranalysis is based on the alpha-beta-gamma (ABG) path-loss model which providesus with the flexibility to analyze urban macro (UMa) and urban micro (UMi)deployments. With the help of an analytical framework, we demonstrate thatselection of underlying degrees-of-freedom such as BS height for optimizationof first order statistics such as coverage probability is not optimal in thenetwork-wide sense. Consequently, the SIR meta-distribution must be employed toselect appropriate operational points which will ensure consistent userexperiences across the network. Our design framework reveals that thetraditional results which advocate lowering of BS heights or even optimalselection of BS height do not yield consistent service experience across users.By employing the developed framework we also demonstrate how available spectralresources in terms of time slots/channel partitions can be optimized byconsidering the meta-distribution of the SIR.

Optimal Coverage and Rate in Downlink Cellular Networks: A SIR Meta-Distribution Based Approach