Practical Implementation Challenges in MIMO Beamforming and Its Applications

Adaptive beamforming is a crucial signal processing technique used in 5G and beyond to mitigate path losses and improve energy and spectral efficiency by transmitting and receiving signals directionally. The MIMO beamforming systems contain multiple power amplifiers (PAs), which consume substantial power and require efficient linearization to enhance energy efficiency and reduce nonlinear distortions. However, implementing beamforming and PA linearization in real time introduces significant challenges, including calibration, synchronization, and hardware constraints. This article presents the practical challenges of implementing beamforming and digital predistortion (DPD) algorithms in hardware platforms and measurement processes. This article also discusses advanced techniques for linearizing PAs and overcoming measurement-related issues in beamforming systems.

Authors

Institutions

Publication Details

Journal
IEEE Microwave Magazine
Published
2025-03-05
DOI
https://doi.org/10.1109/mmm.2024.3524825
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Practical Implementation Challenges in MIMO Beamforming and Its Applications

Nageswara Rao Dusari, Meenakshi Rawat
2 citations
IEEE Microwave Magazine
Advanced MIMO Systems Optimization
1.46
article

Practical Implementation Challenges in MIMO Beamforming and Its Applications

Nageswara Rao Dusari, Meenakshi Rawat
article en
2 citations

Abstract

Adaptive beamforming is a crucial signal processing technique used in 5G and beyond to mitigate path losses and improve energy and spectral efficiency by transmitting and receiving signals directionally. The MIMO beamforming systems contain multiple power amplifiers (PAs), which consume substantial power and require efficient linearization to enhance energy efficiency and reduce nonlinear distortions. However, implementing beamforming and PA linearization in real time introduces significant challenges, including calibration, synchronization, and hardware constraints. This article presents the practical challenges of implementing beamforming and digital predistortion (DPD) algorithms in hardware platforms and measurement processes. This article also discusses advanced techniques for linearizing PAs and overcoming measurement-related issues in beamforming systems.

IEEE Microwave MagazineVol. 26(4)
Indian Institute of Technology Roorkee (IN)
Openalex Percentile: Top 19%
Advanced MIMO Systems Optimization
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Practical Implementation Challenges in MIMO Beamforming and Its Applications — Nageswara Rao Dusari, Meenakshi Rawat · IEEE Microwave Magazine (2025) | TGRS Research Map | TGRS