Resource Allocation for LEO Beam-Hopping Satellites in a Spectrum Sharing Scenario

• Published in: IEEE access Vol. 9; pp. 56468 - 56478
• Main Authors: Tang, Jingyu, Bian, Dongming, Li, Guangxia, Hu, Jing, Cheng, Jian
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna radiation patterns; beam-hopping; Communications systems; Flexibility; Frequencies; GEO satellite system; Interference; LEO satellite constellation; Low earth orbit satellites; Low earth orbits; Optimization; Performance evaluation; Resource allocation; Satellite antennas; Satellite broadcasting; Satellite constellations; Satellites; spectrum sharing; Transmission
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2021.3072059

In recent years, low earth orbit (LEO) satellite constellation systems have been developed rapidly. However, the scarcity of satellite spectrum resources has become one of the major obstacles to this trend. LEO satellite constellation communication systems sharing the spectrum of incumbent geostationary earth orbit (GEO) satellite system is a feasible way to alleviate spectrum scarcity. Therefore, it has practical significance to study the optimization of satellite resources allocation (RA) in a spectrum sharing scenario. This paper focuses on the RA problem that LEO satellites share a GEO high throughput satellite's spectrum in a beam-hopping (BH) manner. The GEO satellite system is served as the primary system and the LEO satellite constellation system is served as the secondary system whose frequency bands and transmitting power are strictly limited. Compared with conventional multibeam satellites, BH satellites have the advantage of flexibility in the time dimension. Therefore, we make full use of the flexibility of LEO BH satellites to realize the matching of traffic demand and traffic supply. The RA problem is decomposed into three sub-problems, namely, frequency band selection (FBS) problem, illuminated cell selection (ICS) problem, and transmitting power allocation (TPA) problem. We solve each sub-problem in order and finally form a complete RA scheme. The performance evaluation of the proposed RA scheme is carried out in real-time and simulation results show that the LEO BH satellite paired with the RA scheme we proposed has good adaptability to the uneven distribution of traffic demand in the spectrum sharing scenario.