Low-Complexity Hybrid Beamforming for Massive MIMO Systems in Frequency-Selective Channels
Sohail Payami, Mathini Sellathurai, Konstantinos Nikitopoulos

TL;DR
This paper introduces a low-complexity hybrid beamforming method for massive MIMO systems in frequency-selective channels, exploiting time and frequency domain characteristics to improve spectral efficiency and reduce delay spread.
Contribution
The paper proposes a novel RF beamforming approach that coherently combines signals in the time domain, flattening the channel response and achieving near fully-digital performance with fewer phase shifters.
Findings
Achieves substantial sum-rate gains over existing methods.
Reduces root mean square delay spread of the channel.
Can match fully-digital zero-forcing performance with twice the number of phase shifters as multipath components.
Abstract
Hybrid beamforming for frequency-selective channels is a challenging problem as the phase shifters provide the same phase shift to all of the subcarriers. The existing approaches solely rely on the channel's frequency response and the hybrid beamformers maximize the average spectral efficiency over the whole frequency band. Compared to state-of-the-art, we show that substantial sum-rate gains can be achieved, both for rich and sparse scattering channels, by jointly exploiting the frequency and time domain characteristics of the massive multiple-input multiple-output (MIMO) channels. In our proposed approach, the radio frequency (RF) beamformer coherently combines the received symbols in the time domain and, thus, it concentrates signal's power on a specific time sample. As a result, the RF beamformer flattens the frequency response of the "effective" transmission channel and reduces its…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Antenna Design and Analysis
