A GSO Protected Area Calculation Model based on Controllable NGSO System Parameters

Huangt, Weiqing; Liu, Yiqing; Wang, Wen; Geng, Jingru

doi:10.1109/iscc53001.2021.9631527

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…In order to reduce non-communication area, beamoff and power control techniques are employed to reduce the range of the Geosynchronous Orbit (GSO) protection zone. 14 Moreover, Oneweb proposes a progressive pitch strategy to adjust the coverage range of the LEO satellite and turn off several LEO beams, which can reduce interference to the GSO satellite and eliminate some blind areas. 15 However, these methods cannot completely eliminate blind areas.…”

Section: Introductionmentioning

confidence: 99%

“…However, the spatial isolation method introduces communication blind areas, which will affect the communication continuity and communication range of the LEO satellite. In order to reduce non‐communication area, beam‐off and power control techniques are employed to reduce the range of the Geosynchronous Orbit (GSO) protection zone 14 . Moreover, Oneweb proposes a progressive pitch strategy to adjust the coverage range of the LEO satellite and turn off several LEO beams, which can reduce interference to the GSO satellite and eliminate some blind areas 15 .…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

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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“…Then, the interfering system operating outside the exclusion zone can avoid harmful interference [4]. The fixed exclusive angle is designed for the GEO satellite earth station to reduce the in-line interference from the LEO system [5,6]. However, the fixed exclusion zone is not suitable for the non-geostationary earth orbit (NGEO) satellite with high mobility.…”

Section: Introductionmentioning

confidence: 99%

Interference Situational Aware Beam Pointing Optimization for Dense LEO Satellite Communication System

He,

Cui,

Wang

et al. 2024

Electronics

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Recently, the low earth orbit (LEO) mega-constellation faces serious time-varying interferences due to spectrum sharing, dense deployment, and high mobility. Therefore, it is important to study the interference avoidance techniques for the dense LEO satellite system. In this paper, the interference situational aware beam pointing optimization technique is proposed. Firstly, the angle of departure (AoD) and angle of arrival (AoA) of the interfering links are obtained to represent the time-varying interference. Then, the interference avoidance problem for dense LEO satellite systems is modeled as a non-convex optimization problem, and a particle swarm optimization (PSO) based method is proposed to obtain the optimal beam pointing of the user terminal (UT). Simulations show that the relative error of the mean signal-to-interference plus noise ratio (SINR) obtained by the proposed method is 0.51%, so the co-channel interference can be effectively mitigated for the dense LEO satellite communication system.

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Technical Analysis of Non-terrestrial Networks

Lin

2024

2024 International Wireless Communications and Mobile Computing (IWCMC)

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A GSO Protected Area Calculation Model based on Controllable NGSO System Parameters

Cited by 4 publications

References 6 publications

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

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

Interference Situational Aware Beam Pointing Optimization for Dense LEO Satellite Communication System

Technical Analysis of Non-terrestrial Networks

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