Beam Alignment in mmWave User-Centric Cell-Free Massive MIMO Systems
Stefano Buzzi, Carmen D'Andrea, Maria Fresia, Xiaofeng Wu

TL;DR
This paper introduces fast beam alignment algorithms for mmWave cell-free massive MIMO systems, enabling efficient user-AP association through simultaneous estimation of propagation paths using a shared frequency protocol.
Contribution
It proposes novel estimation algorithms and a protocol for rapid beam alignment in mmWave CF-mMIMO, leveraging a control channel and interference minimization strategies.
Findings
Algorithms enable one-shot fast beam alignment
Effective user-AP association through simultaneous estimation
Numerical results confirm improved detection performance
Abstract
The problem of beam alignment (BA) in a cell-free massive multiple-input multiple-output (CF-mMIMO) system operating at millimeter wave (mmWaves) carrier frequencies is considered in this paper. Two estimation algorithms are proposed, in association with a protocol that permits simultaneous estimation, on a shared set of frequencies, for each user equipment (UE), of the direction of arrival and departure of the radio waves associated to the strongest propagation paths from each of the surrounding access points (APs), so that UE-AP association can take place. The proposed procedure relies on the existence of a reliable control channel at sub-6 GHz frequency, so as to enable exchange of estimated values between the UEs and the network, and assumes that APs can be identifies based on the prior knowledge of the orthogonal channels and transmit beamforming codebook. A strategy for assigning…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Antenna Design and Analysis
