The growing deployment of low Earth orbit (LEO) satellites enables direct-to-device (D2D) services for ground users. However, spectrum overlap between traditional terrestrial networks (TNs) and emerging non-terrestrial networks (NTNs) induces inter-network interference, degrading the performance of independently operated TNs within LEO satellite footprints. To address this issue, we propose a cooperative spectrum sensing (CSS)-based spectrum sharing framework for integrated satellite-terrestrial networks (ISTN), addressing inter-network interference between independent NTNs and TNs. Existing studies on interference management mostly concentrated on joint operation which are ineffective when NTN and TN lack mutual information. Additionally, Doppler shifts from LEO satellites cause adjacent-band interference, degrading TN performance in NTN coverage areas. To tackle these challenges, we employ energy detection-based CSS, considering interference from both overlapping and adjacent bands. Our method jointly optimizes sensing and power allocation to maximize TN's average achievable sum-rate, utilizing sample average approximation (SAA) for robustness under fading channels. Simulation results highlight the proposed framework's superior sensing and power allocation performance, outperforming benchmarks in LEO satellite scenarios.
KSP Keywords
Cooperative Spectrum Sensing, Doppler Shift, Energy Detection(ED), Fading Channels, Inter-network interference, Interference Management, Low earth orbit (LEO) satellite, Spectrum overlap, achievable sum rate, band interference, cooperative spectrum sharing
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