  RadioWeaves, in which distributed antennas with integrated radio and compute
resources serve a large number of users, is envisioned to provide high data
rates in next generation wireless systems. In this paper, we develop a physical
layer abstraction model to evaluate the performance of different RadioWeaves
deployment scenarios. This model helps speed up system-level simulators of the
RadioWeaves and is made up of two blocks. The first block generates a vector of
signal-to-interference-plus-noise ratios (SINRs) corresponding to each
coherence block, and the second block predicts the packet error rate
corresponding to the SINRs generated. The vector of SINRs generated depends on
different parameters such as the number of users, user locations, antenna
configurations, and precoders. We have also considered different antenna gain
patterns, such as omni-directional and directional microstrip patch antennas.
Our model exploits the benefits of exponential effective SINR mapping (EESM).
We study the robustness and accuracy of the EESM for RadioWeaves.
