On space cooperative spectrum sensing of GEO downlink transmissions

Yi Tao; Xiaorui Zhang; Xuanhe Yang; Shuai Wang; Gaofeng Pan; Jianping An

doi:10.1016/j.phycom.2025.102748

On space cooperative spectrum sensing of GEO downlink transmissions

Yi Tao, Xiaorui Zhang, Xuanhe Yang^*, Shuai Wang, Gaofeng Pan, Jianping An

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

In this letter, we propose a cooperative spectrum sensing framework in which NGSO satellites are leveraged to detect GEO downlink transmissions, aiming to protect legacy services and improve spectrum utilization. The model accounts for both the random spatial distribution of NGSO satellites and the presence of noise uncertainty, using an unbiased noise model to enhance detection accuracy. Closed-form expressions for the probabilities of false alarm and detection are derived, and the impact of randomness on sensing performance is analyzed. Extensive Monte Carlo simulations validate the analytical results and demonstrate the effectiveness of the proposed approach under practical operating conditions.

Original language	English
Article number	102748
Journal	Physical Communication
Volume	72
DOIs	https://doi.org/10.1016/j.phycom.2025.102748
Publication status	Published - Oct 2025
Externally published	Yes

Keywords

GEO satellite downlinks
Geometric probability theory
Noise uncertainty
Satellite communication
Spectrum sensing

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10.1016/j.phycom.2025.102748

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title = "On space cooperative spectrum sensing of GEO downlink transmissions",

abstract = "In this letter, we propose a cooperative spectrum sensing framework in which NGSO satellites are leveraged to detect GEO downlink transmissions, aiming to protect legacy services and improve spectrum utilization. The model accounts for both the random spatial distribution of NGSO satellites and the presence of noise uncertainty, using an unbiased noise model to enhance detection accuracy. Closed-form expressions for the probabilities of false alarm and detection are derived, and the impact of randomness on sensing performance is analyzed. Extensive Monte Carlo simulations validate the analytical results and demonstrate the effectiveness of the proposed approach under practical operating conditions.",

keywords = "GEO satellite downlinks, Geometric probability theory, Noise uncertainty, Satellite communication, Spectrum sensing",

author = "Yi Tao and Xiaorui Zhang and Xuanhe Yang and Shuai Wang and Gaofeng Pan and Jianping An",

note = "Publisher Copyright: {\textcopyright} 2025",

year = "2025",

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doi = "10.1016/j.phycom.2025.102748",

language = "English",

volume = "72",

journal = "Physical Communication",

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T1 - On space cooperative spectrum sensing of GEO downlink transmissions

AU - Tao, Yi

AU - Zhang, Xiaorui

AU - Yang, Xuanhe

AU - Wang, Shuai

AU - Pan, Gaofeng

AU - An, Jianping

PY - 2025/10

Y1 - 2025/10

N2 - In this letter, we propose a cooperative spectrum sensing framework in which NGSO satellites are leveraged to detect GEO downlink transmissions, aiming to protect legacy services and improve spectrum utilization. The model accounts for both the random spatial distribution of NGSO satellites and the presence of noise uncertainty, using an unbiased noise model to enhance detection accuracy. Closed-form expressions for the probabilities of false alarm and detection are derived, and the impact of randomness on sensing performance is analyzed. Extensive Monte Carlo simulations validate the analytical results and demonstrate the effectiveness of the proposed approach under practical operating conditions.

AB - In this letter, we propose a cooperative spectrum sensing framework in which NGSO satellites are leveraged to detect GEO downlink transmissions, aiming to protect legacy services and improve spectrum utilization. The model accounts for both the random spatial distribution of NGSO satellites and the presence of noise uncertainty, using an unbiased noise model to enhance detection accuracy. Closed-form expressions for the probabilities of false alarm and detection are derived, and the impact of randomness on sensing performance is analyzed. Extensive Monte Carlo simulations validate the analytical results and demonstrate the effectiveness of the proposed approach under practical operating conditions.

KW - GEO satellite downlinks

KW - Geometric probability theory

KW - Noise uncertainty

KW - Satellite communication

KW - Spectrum sensing

UR - https://www.scopus.com/pages/publications/105009485311

U2 - 10.1016/j.phycom.2025.102748

DO - 10.1016/j.phycom.2025.102748

M3 - Article

AN - SCOPUS:105009485311

SN - 1874-4907

VL - 72

JO - Physical Communication

JF - Physical Communication

M1 - 102748

ER -

On space cooperative spectrum sensing of GEO downlink transmissions

Abstract

Keywords

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