A Scalable Generator for Massive MIMO Baseband Processing Systems with Beamspace Channel Estimation

This paper describes a scalable, highly portable, and energy-efficient generator for massive multiple-input multiple-output (MIMO) baseband processing systems. This generator is written in Chisel and produces hardware instances for a scalable massive MIMO system employing distributed processing. The generator is parameterized in both the MIMO system and hardware datapath elements. Coupled with a P...