Pattern Design and Power Management for Cognitive LEO Beaming Hopping Satellite-Terrestrial Networks

Li, Tong; Yao, Rugui; Fan, Ye; Zuo, Xinzhang; Miridakis, Nikolaos I.; Tsiftsis, Theodoros A.

doi:10.1109/tccn.2023.3299576

Cited by 5 publications

(2 citation statements)

References 38 publications

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“…To improve the service capacity of a single satellite, it is necessary to ensure that the distance between simultaneously illuminated beam positions is greater than four times the beam radius, which can avoid co-channel interference at the same satellite. 25 So, only the co-channel interference between the two LEO systems is considered in this paper. Each beam serves only one user within its coverage area in each time slot, and the user is located at the beam center.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Joint beam power and pointing management in multi‐beam low earth orbit and low earth orbit co‐existing satellite system

He,

Cui,

et al. 2024

Satell Commun Network

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SummaryRecently, the low earth orbit (LEO) satellite has attracted much attention due to its advantages of low latency and construction costs. However, the scarcity of frequency spectrum resources has resulted in these satellites sharing the same spectrum to provide services for ground users. So, challenges such as overlapping beam coverage and inter‐beam interference occur in the multi‐beam LEO satellite coexistence scenario. Therefore, this paper focuses on the issue of interference coexistence in LEO and LEO (LEO–LEO) co‐existing scenario, where the initially established system is the primary system, and the later established system is the secondary system. The interference coexistence problem is modeled as a multi‐objective optimization problem. The joint beam power and pointing management (JBPPM) based on particle swarm optimization (PSO) is proposed. The power control is applied to the LEO satellites in the secondary system to reduce the interference to the primary system user. Meanwhile, beam pointing optimization is adopted by the LEO users in the secondary system to avoid interference from the primary system and ensure the minimum communication ability. The simulation results verify that the proposed technique can adapt to various coexistence conditions and outperform the existing method.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

Joint beam power and pointing management in multi‐beam low earth orbit and low earth orbit co‐existing satellite system

He,

Cui,

et al. 2024

Satell Commun Network

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show abstract

“…Compared with traditional Geostationary Earth Orbit (GEO) satellite networks, LEO satellite networks are more suitable for supplementing ground networks 4 . The terrestrial‐satellite communication networks have the potential to provide high‐quality and global wireless transmission services 5 . However, the development of satellite systems is constrained by the scarcity of spectrum resources.…”

Section: Introductionmentioning

confidence: 99%

Collaborative interference avoidance technology in GEO‐LEO co‐existing satellite system

He,

Cui,

et al. 2024

Satell Commun Network

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SummaryRecently, the Low Earth Orbit (LEO) satellite and Geostationary Earth Orbit (GEO) satellites share the same frequency to enhance spectrum efficiency in response to the scarcity of spectral resources. However, overlapping coverage areas emerge when LEO‐GEO and LEO‐LEO beams cover the same ground area in the GEO‐LEO co‐existing satellite system. Thus, the GEO‐LEO inter‐system interference and the LEO intra‐system interference are generated, which leads to more severe and complex interference. To solve the co‐channel interference problem without sacrificing the performance of the LEO system, a collaborative interference avoidance technology is proposed for the GEO‐LEO co‐existing satellite system. Firstly, the LEO satellite and user regrouping strategy (SURS) is employed to effectively avoid severe co‐channel interference by changing service satellites. Then, based on regrouping satellite and user pairs, a proximal policy optimization (PPO)‐based deep reinforcement learning (DRL) method is adopted to realize further continuous beam pointing optimization (BPO) of the LEO user antenna and reduce the co‐channel interference. Finally, simulation results verify that the proposed scheme can achieve the goal of interference mitigation and continuous service.

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On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey

Bakambekova,

Kouzayha,

Al-Naffouri

2024

IEEE Open J. Commun. Soc.

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Pattern Design and Power Management for Cognitive LEO Beaming Hopping Satellite-Terrestrial Networks

Cited by 5 publications

References 38 publications

Joint beam power and pointing management in multi‐beam low earth orbit and low earth orbit co‐existing satellite system

Joint beam power and pointing management in multi‐beam low earth orbit and low earth orbit co‐existing satellite system

Collaborative interference avoidance technology in GEO‐LEO co‐existing satellite system

On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey

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