Beam Management in 5G: A Stochastic Geometry Analysis
Sanket S. Kalamkar, Fran\c{c}ois Baccelli, Fuad M. Abinader Jr.,, Andrea S. Marcano Fani, Luis G. Uzeda Garcia

TL;DR
This paper develops a stochastic geometry model to optimize beam management in 5G networks, balancing beamforming gains and operational overheads to improve area spectral efficiency across various frequencies.
Contribution
It introduces a comprehensive system-level stochastic geometry model for beam management in 5G, providing analytical expressions for effective rate and optimal beam configurations.
Findings
Optimal number of beams maximizes spectral efficiency.
Tradeoffs between beamforming gains and management overheads.
Performance metrics for mmWave and sub-6 GHz deployments.
Abstract
Beam management is central in the operation of beamformed wireless cellular systems such as 5G New Radio (NR) networks. Focusing the energy radiated to mobile terminals (MTs) by increasing the number of beams per cell increases signal power and decreases interference, and has hence the potential to bring major improvements on area spectral efficiency (ASE). This paper proposes a first system-level stochastic geometry model encompassing major aspects of the beam management problem: frequencies, antenna configurations, and propagation; physical layer, wireless links, and coding; network geometry, interference, and resource sharing; sensing, signaling, and mobility management. This model leads to a simple analytical expression for the effective rate that the typical user gets in this context. This in turn allows one to find the number of beams per cell and per MT that maximizes the…
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