Resource Allocation for Networked Telemetry System of Mega LEO Satellite Constellations

• Published in: IEEE transactions on communications Vol. 70; no. 12; pp. 8215 - 8228
• Main Authors: Zeng, Guanming, Zhan, Yafeng, Xie, Haoran, Jiang, Chunxiao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Intersatellite communications; Low earth orbit satellites; Low earth orbits; network; Relays; Resource allocation; Resource management; Satellite communications; Satellite constellation; Satellite constellations; Satellites; Scheduling; Telemetry; Upper bound; Upper bounds
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2022.3214895

In the upcoming 6G communication era, the satellite Internet based on mega constellations will become an indispensable extension of the terrestrial communication network. However, it is difficult for the traditional ground-based and geostationary earth orbit (GEO)-based telemetry systems to satisfy the requirements on monitoring the mega constellation. This paper designs the networked telemetry system, where data is transmitted through the inter-satellite-links (ISL) of the low earth orbit (LEO) and medium earth orbit (MEO) satellites. Furthermore, the resource allocation problem for the networked telemetry system is decomposed using the block coordinate descent method into the access scheduling and the subchannel-power coordinate allocation subproblems, which are iteratively solved to optimize the resource allocation scheme. Finally, the simulation results shows that the proposed resource allocation algorithm effectively increases the transmitted data amount of the system and approximates the upper bound performance.