Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Little's law allows to express the mean user throughput in any region of the network as the ratio of the mean traffic demand to the steady-state mean number of users in this region. Corresponding statistics are usually collected in operational networks for each cell. Using ergodic arguments and Palm theoretic formalism,  show that the global mean user throughput in the network is equal to 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 and the spatial distribution of the SINR. This latter accounts for network irregularities, shadowing and idling cells via cell-load equations.  validate our approach comparing analytical and simulation results for Poisson network model to real-network cell-measurements.
['Bartlomiej Blaszczyszyn', 'Miodrag Jovanovic', 'Mohamed Kadhem Karray']
I am writing a research paper on a idea Mean user throughput versus traffic demand in large irregular cellular networks - a typical cell approach explaining real field measurements
[{"from": "human", "value": "I am writing a research paper on a idea Mean user throughput versus traffic demand in large irregular cellular networks - a typical cell approach explaining real field measurements"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Little's law allows to express the mean user throughput in any region of the network as the ratio of the mean traffic demand to the steady-state mean number of users in this region. Corresponding statistics are usually collected in operational networks for each cell. Using ergodic arguments and Palm theoretic formalism,  show that the global mean user throughput in the network is equal to 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 and the spatial distribution of the SINR. This latter accounts for network irregularities, shadowing and idling cells via cell-load equations.  validate our approach comparing analytical and simulation results for Poisson network model to real-network cell-measurements."}]