Adaptive Beam Pattern Selection and Resource Allocation for NOMA-Based LEO Satellite Systems-Reference-Cited by-同舟云学术

Adaptive Beam Pattern Selection and Resource Allocation for NOMA-Based LEO Satellite Systems

Published:2022-12-04 Issue: Volume: Page:
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Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Wang Anyue¹,Lei Lei²,Hu Xin³,Lagunas Eva¹,Perez-Neira Ana I.⁴,Chatzinotas Symeon¹

Affiliation:

1. Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg,Luxembourg

2. School of Information and Communications Engineering, Xi’ an Jiaotong University,China

3. School of Electronic Engineering, Beijing University of Posts and Telecommunications,China

4. Centre Tecnologic de Telecomunicacions de Catalunya (CTTC/CERCA) and Universitat Politecnica de Catalunya (UPC),Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000986.pdf?arnumber=10000986

Reference18 articles.

1. Files delivery and share optimization in LEO satellite-terrestrial integrated networks: A NOMA based coalition formation game approach;gao;IEEE Transactions on Ve-hicular Technology,2021

2. Robust Design for NOMA-Based Multibeam LEO Satellite Internet of Things

3. NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

4. The Application of Power-Domain Non-Orthogonal Multiple Access in Satellite Communication Networks

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1. Integrating Convex Optimization and Deep Learning for Downlink Resource Allocation in LEO Satellites Networks;IEEE Transactions on Cognitive Communications and Networking;2024-06

2. Spatial–Temporal Resource Optimization for Uneven-Traffic LEO Satellite Systems: Beam Pattern Selection and User Scheduling;IEEE Journal on Selected Areas in Communications;2024-05

3. RIS-Assisted Energy-Efficient LEO Satellite Communications With NOMA;IEEE Transactions on Green Communications and Networking;2023