The paper discusses the phase calibration of distributed antennas in wireless communication systems, focusing on the accuracy of calibration protocols based on over-the-air measurements. It analyzes the scalability of these protocols in large systems and concludes that for certain topologies, the errors in calibration can grow unboundedly as the network expands. Despite this, the paper argues that solving a single calibration problem for the entire system and using the result for beamforming is optimal, regardless of the topology. The analysis is supported by specific examples of line, ring, and two-dimensional surface topologies. The paper also examines the impact of estimation errors on beamforming performance, showing that using all available measurements always improves the accuracy of beamforming, even though the errors can grow with network size.The paper discusses the phase calibration of distributed antennas in wireless communication systems, focusing on the accuracy of calibration protocols based on over-the-air measurements. It analyzes the scalability of these protocols in large systems and concludes that for certain topologies, the errors in calibration can grow unboundedly as the network expands. Despite this, the paper argues that solving a single calibration problem for the entire system and using the result for beamforming is optimal, regardless of the topology. The analysis is supported by specific examples of line, ring, and two-dimensional surface topologies. The paper also examines the impact of estimation errors on beamforming performance, showing that using all available measurements always improves the accuracy of beamforming, even though the errors can grow with network size.