The majority of stochastic channel models rely on the electromagnetic far-field assumption, which allows to decompose in terms plane waves. assumption breaks down future applications that push towards near-field region, such as those where use electromagnetically large antenna arrays is envisioned. Motivated by this consideration, we show how physical principles can be used derive a plane-wave ...

We present a new version (> 2.0) of the hglm package for fitting hierarchical generalized linear models (HGLMs) with spatially correlated random effects. CAR() and SAR() families for conditional and simultaneous autoregressive random effects were implemented. Eigen decomposition of the matrix describing the spatial structure (e.g., the neighborhood matrix) was used to transform the CAR/SAR rand...