SINR Analysis of Fluid Antenna-Enabled Cellular Networks Using a Gaussian Copula Approach

This paper investigates the signal-to-interference-plus-noise ratio (SINR)-based performance of a cellular network consisting of a fluid antenna (FA)-equipped user and small base stations (SBS), spatially distributed according to a binomial point process (BPP). By accurately capturing the shadowing effect in the calculation of received power through large-scale fading, the SINR is expressed in terms of the best selected port and the maximum average received power from the serving BS. To this end, a maximum average received power user association policy is adopted. Subsequently, by expressing the well-known Jakes' model in terms of the Gaussian copula, performance analysis in terms of coverage probability and delay coverage rate (DCR) is conducted in the presence of a single dominant interferer under correlated Nakagamim fading between the FA's ports. Numerical results demonstrate that i) by increasing the number of FA's ports, the performance improves only for the larger-sized FAs, ii) even by increasing the size of a FA with fixed number of ports, the dominant interferer poses a bound on the achieved coverage performance until eventually saturated and iii) by increasing the number of the FA's port, the enhancement in the DCR performance is more profound for the smaller amounts of the transmitted data.