Low Sweeping Overhead Method Based on Machine Learning in Beam Selection

Massive multi-antenna technology enhances spectral efficiency and system capacity in multi-user scenarios, thereby fulfilling the escalating demand for superior communication quality. This technology generates an increased number of spatial channels, referred to as independent beam pairs, to achieve

Authors

Institutions

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354586
Primary Topic
Optical Systems and Laser Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low Sweeping Overhead Method Based on Machine Learning in Beam Selection

Yuhao Liu
Optical Systems and Laser Technology
article

Low Sweeping Overhead Method Based on Machine Learning in Beam Selection

Yuhao Liu
article en

Abstract

Massive multi-antenna technology enhances spectral efficiency and system capacity in multi-user scenarios, thereby fulfilling the escalating demand for superior communication quality. This technology generates an increased number of spatial channels, referred to as independent beam pairs, to achieve

North China Electric Power University (CN)
Openalex Percentile: Top 96%
Optical Systems and Laser Technology
DOIOpen Access PDFOpenAlex
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.

Low Sweeping Overhead Method Based on Machine Learning in Beam Selection — Yuhao Liu · (2025) | TGRS Research Map | TGRS