TY - GEN
T1 - LEO Satellite Constellations with 5G and 6G Networks for Enhanced IoT and PV System Performance
AU - Bostani, Ali
AU - Baniamerian, Amir
AU - Zaher, Ahraf
AU - Al Shammari, Mohammad
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/5/29
Y1 - 2024/5/29
N2 - In the era of rapid technological evolution and increasing reliance on renewable energy sources, the integration of Low Earth Orbit (LEO) satellite constellations with emerging 5G and 6G terrestrial networks represents a critical advancement for global connectivity and remote monitoring applications. This paper extends previous analyses by incorporating a novel case study on photovoltaic (PV) system monitoring, demonstrating how satellite-enhanced communication networks can significantly improve fault diagnosis and system reliability in remote settings. By integrating advanced LEO satellites, as developed by initiatives like Starlink and OneWeb, with the latest terrestrial communication technologies, this study explores the dual application of enhanced IoT performance and proactive PV system monitoring. The convergence of these technologies addresses critical issues such as L-band saturation and provides a robust solution to connectivity challenges in underserved and geographically isolated regions. Through comprehensive simulations and a detailed case study, this paper highlights the synergistic potential of satellite and terrestrial network integration, proposing a framework that leverages high-speed satellite capabilities with the ubiquitous coverage of 5G and 6G networks. This integration not only enhances bandwidth and connectivity but also introduces significant improvements in reliability and latency for remote monitoring systems, setting a foundational strategy for future global communications infrastructure.
AB - In the era of rapid technological evolution and increasing reliance on renewable energy sources, the integration of Low Earth Orbit (LEO) satellite constellations with emerging 5G and 6G terrestrial networks represents a critical advancement for global connectivity and remote monitoring applications. This paper extends previous analyses by incorporating a novel case study on photovoltaic (PV) system monitoring, demonstrating how satellite-enhanced communication networks can significantly improve fault diagnosis and system reliability in remote settings. By integrating advanced LEO satellites, as developed by initiatives like Starlink and OneWeb, with the latest terrestrial communication technologies, this study explores the dual application of enhanced IoT performance and proactive PV system monitoring. The convergence of these technologies addresses critical issues such as L-band saturation and provides a robust solution to connectivity challenges in underserved and geographically isolated regions. Through comprehensive simulations and a detailed case study, this paper highlights the synergistic potential of satellite and terrestrial network integration, proposing a framework that leverages high-speed satellite capabilities with the ubiquitous coverage of 5G and 6G networks. This integration not only enhances bandwidth and connectivity but also introduces significant improvements in reliability and latency for remote monitoring systems, setting a foundational strategy for future global communications infrastructure.
KW - 5G Networks
KW - 6G Networks
KW - IoT Connectivity
KW - LEO Constellation
KW - Network Convergence
KW - Photovoltaic System Monitoring
KW - Remote Monitoring
KW - Renewable Energy Systems
KW - Satellite Communication
UR - http://www.scopus.com/inward/record.url?scp=85195565853&partnerID=8YFLogxK
U2 - 10.1109/DRCN60692.2024.10539143
DO - 10.1109/DRCN60692.2024.10539143
M3 - Conference contribution
AN - SCOPUS:85195565853
T3 - 20th International Conference on the Design of Reliable Communication Networks, DRCN 2024
BT - 20th International Conference on the Design of Reliable Communication Networks, DRCN 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on the Design of Reliable Communication Networks, DRCN 2024
Y2 - 6 May 2024 through 9 May 2024
ER -