Joint Graph-Based User Scheduling with LFoV Beamforming Design for B5G/6G NTN Systems

In this paper, we address the user scheduling problem for Low Earth Orbit (LEO) Multi-User (MU) Multiple-Input-Multiple-Output (MIMO) Non-Terrestrial Network (NTN) systems, aiming at maximizing the average per-user throughput while minimizing the total number of clusters. We introduce a graph-based scheduling approach utilizing Iterative Maximum Independent Set Search and Removal (IMISSR) with a constant graph density, combined with Limited Field of View (LFoV) Subarray architecture based on Signal-to-Leakage-andNoise Ratio (SLNR) beamforming. Users are clustered based on the channel coefficient of correlation (CoC) as a dissimilarity metric and served via Space Division Multiple Access (SDMA) using the proposed digital beamforming design on a cluster basis. These clusters are then allocated to different time slots using Time Division Multiple Access (TDMA). The results, presented in terms of per-cluster sum-rate capacity and peruser throughput, show that the combined IMISSR and LFoV beamforming approach greatly improves the system performance compared to conventional schedulers.

Authors

Institutions

Publication Details

Published
2025-09-08
DOI
https://doi.org/10.1109/apwc65665.2025.11190467
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Joint Graph-Based User Scheduling with LFoV Beamforming Design for B5G/6G NTN Systems

Alessandro Vanelli‐Coralli, Alessandro Guidotti, Daniel Gaetano Riviello, M. Rabih Dakkak
Advanced MIMO Systems Optimization
article

Joint Graph-Based User Scheduling with LFoV Beamforming Design for B5G/6G NTN Systems

Alessandro Vanelli‐Coralli, Alessandro Guidotti, Daniel Gaetano Riviello, M. Rabih Dakkak
article en

Abstract

In this paper, we address the user scheduling problem for Low Earth Orbit (LEO) Multi-User (MU) Multiple-Input-Multiple-Output (MIMO) Non-Terrestrial Network (NTN) systems, aiming at maximizing the average per-user throughput while minimizing the total number of clusters. We introduce a graph-based scheduling approach utilizing Iterative Maximum Independent Set Search and Removal (IMISSR) with a constant graph density, combined with Limited Field of View (LFoV) Subarray architecture based on Signal-to-Leakage-andNoise Ratio (SLNR) beamforming. Users are clustered based on the channel coefficient of correlation (CoC) as a dissimilarity metric and served via Space Division Multiple Access (SDMA) using the proposed digital beamforming design on a cluster basis. These clusters are then allocated to different time slots using Time Division Multiple Access (TDMA). The results, presented in terms of per-cluster sum-rate capacity and peruser throughput, show that the combined IMISSR and LFoV beamforming approach greatly improves the system performance compared to conventional schedulers.

Consorzio Nazionale Interuniversitario per le Telecomunicazioni (IT), Institute of Electronics, Computer and Telecommunication Engineering (IT), University of Bologna (IT)
Openalex Percentile: Top 71%
Advanced MIMO Systems Optimization
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.

Joint Graph-Based User Scheduling with LFoV Beamforming Design for B5G/6G NTN Systems — Alessandro Vanelli‐Coralli, Alessandro Guidotti, et al. · (2025) | TGRS Research Map | TGRS