Beam Management in 5G: A Stochastic Geometry Analysis

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...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2022-04, Vol.21 (4), p.2275-2290
Main Authors: Kalamkar, Sanket S., Baccelli, Francois, Abinader, Fuad M., Fani, Andrea S. Marcano, Garcia, Luis G. Uzeda
Format: Article
Language:English
Subjects:
5G mobile communication
5G NR
beam management
Beamforming
Cellular communication
Computer Science
Geometry
Handover
Interference
Mathematics
Measurement
Millimeter waves
Mobility management
Networking and Internet Architecture
Performance measurement
Poisson point process
Probability
stochastic geometry
Stochastic processes
Switches
Tradeoffs
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Summary: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 effective ASE by offering the best tradeoff between beamforming gains and beam management operational overheads and costs, for a wide variety of 5G network scenarios including millimeter wave (mmWave) and sub-6 GHz. As part of the system-level analysis, we define and analyze several underlying new and fundamental performance metrics that are of independent interest. The numerical results discuss the effects of different systemic tradeoffs and performance optimizations of mmWave and sub-6 GHz 5G deployments.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2021.3110785