Hybrid RF and Digital Beamformer for Cellular Networks: Algorithms, Microwave Architectures and Measurements
Vijay Venkateswaran, Florian Pivit, Lei Guan

TL;DR
This paper introduces a hybrid RF and digital beamforming architecture for cellular networks that reduces costs and complexity while maintaining performance, supported by algorithms, microwave designs, and experimental validation.
Contribution
It proposes a partially adaptive beamformer architecture with optimized algorithms for joint design of digital and RF beamformers, validated through simulations and measurements.
Findings
Reduced number of transceivers needed for base stations
Achieved optimal beampatterns under cellular standards
Experimental results confirm robustness and performance
Abstract
Modern wireless communication networks, particularly cellular networks utilize multiple antennas to improve the capacity and signal coverage. In these systems, typically an active transceiver is connected to each antenna. However, this one-to-one mapping between transceivers and antennas will dramatically increase the cost and complexity of a large phased antenna array system. In this paper, firstly we propose a \emph{partially adaptive} beamformer architecture where a reduced number of transceivers with a digital beamformer (DBF) is connected to an increased number of antennas through an RF beamforming network (RFBN). Then, based on the proposed architecture, we present a methodology to derive the minimum number of transceivers that are required for marco-cell and small-cell base stations, respectively. Subsequently, in order to achieve optimal beampatterns with given cellular…
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