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Little's law allows to express the mean user throughput in any region of thenetwork as the ratio of the mean traffic demand to the steady-state mean numberof users in this region. Corresponding statistics are usually collected inoperational networks for each cell. Using ergodic arguments and Palm theoreticformalism, we show that the global mean user throughput in the network is equalto the ratio of these two means in the steady state of the "typical cell".Here, both means account for double averaging: over time and network geometry,and can be related to the per-surface traffic demand, base-station density andthe spatial distribution of the SINR. This latter accounts for networkirregularities, shadowing and idling cells via cell-load equations. We validateour approach comparing analytical and simulation results for Poisson networkmodel to real-network cell-measurements.

How user throughput depends on the traffic demand in large cellular networks