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.
Dakkak, M.R., Riviello, D.G., Guidotti, A., Vanelli-Coralli, A. (2025). Joint Graph-Based User Scheduling with LFoV Beamforming Design for B5G/6G NTN Systems. Institute of Electrical and Electronics Engineers Inc. [10.1109/APWC65665.2025.11190467].
Joint Graph-Based User Scheduling with LFoV Beamforming Design for B5G/6G NTN Systems
Guidotti A.Penultimo
Writing – Original Draft Preparation
;Vanelli-Coralli A.Ultimo
Writing – Review & Editing
2025
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


