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The upcoming fifth generation (5G) New Radio (NR) interface inherits manyconcepts and techniques from 4G systems such as the Orthogonal FrequencyDivision Multiplex (OFDM) based waveform and multiple access. Dimensioning 5GNR interface will likely follow the same principles as in 4G networks. It aimsat finding the number of radio resources required to carry a forecast datatraffic at a target users Quality of Services (QoS). The present paper attemptsto provide a new approach of radio resources dimensioning considering thecongestion probability, qualified as a relevant metric for QoS evaluation. Wedistinguish between the spatial random distribution of indoor users, modeled bya spatial Poisson Point Process (spatial PPP) in a typical area covered by a 5Gcell, and the distribution of outdoor users modeled by a linear PPP generatedin a random system of roads modeled according to a Poisson Line Process (PLP).Moreover, we show that the total requested Physical Resource Blocks (PRBs)follows a compound Poisson distribution and we attempt to derive the explicitexpression of the congestion probability by introducing a mathematical toolfrom combinatorial analysis called the exponential Bell polynomials. Finally weshow how to dimension radio resources, for a given target congestionprobability, by solving an implicit relation between the necessary resourcesand the forecast data traffic expressed in terms of cell throughput. Differentnumerical results are presented to justify this dimensioning approach.

Radio Resource Dimensioning with Cox Process Based User Location Distribution