Abstract
Hybrid beamforming systems represent an efficient
architectural solution to realize massive multiple-input multiple-output
(MIMO) communication systems in the centimeter wave (cmW) and millimeter
wave (mmW) region. These hybrid beamforming systems separate the
beamforming process into a digital and analog beamforming network. The
analog beamforming networks can be realized by different architectural
solutions, which demand dedicated algorithms to determine the complex
weighting factors in the digital and analog domain. To date, novel
hybrid beamforming architectures and algorithms are solely compared in
numerical simulations based on statistical channel models. These
abstract channel models simplify the complicated electromagnetic
propagation process, thereby not exactly reconstructing the wireless
channel. Within this work, we present a measurement-based evaluation of
hybrid beamforming algorithms and compare them with numerical results
gained from a statistical path-based MIMO channel model. The results
show that by adjustment of the channel model parameter the simulation
achieves a good match with the measured maximum achievable spectral
efficiencies.