Weighted Fusion Scheme for Cooperative Spectrum Sensing

Verma, Pankaj

doi:10.1109/i4tech48345.2020.9102638

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…In the GEO information fusion center, the signals are weighted and fused when receiving signals from different frequency bands sent by sensing satellites. The magnitude of the received SNR determines the assignment of the weighting coefficients [25], which are calculated as (11).…”

Section: Ann-based Multi-node Inter-satellite Spectrum Sensing Algorithmmentioning

confidence: 99%

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

2023

KSII TIIS

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In Low Earth Orbit (LEO) satellite networks, satellites operate fast and the inter-satellite link change period is short. In order to sense the spectrum state in LEO satellite networks in realtime, a space-based satellite network intelligent spectrum sensing algorithm based on artificial neural network (ANN) is proposed, while Geosynchronous Earth Orbit (GEO) satellites are introduced to make fast and effective judgments on the spectrum state of LEO satellites by using their stronger arithmetic power. Firstly, the visibility constraints between LEO satellites and GEO satellites are analyzed to derive the inter-satellite link building matrix and complete the inter-satellite link situational awareness. Secondly, an ANN-based energy detection (ANN-ED) algorithm is proposed based on the traditional energy detection algorithm and artificial neural network. The ANN module is used to determine the spectrum state and optimize the traditional energy detection algorithm. GEO satellites are used to fuse the information sensed by LEO satellites and then give the spectrum decision, thereby realizing the inter-satellite spectrum state sensing. Finally, the sensing quality is evaluated by the analysis of sensing delay and sensing energy consumption. The simulation results show that our proposed algorithm has lower complexity, the sensing delay and sensing energy consumption compared with the traditional energy detection method.

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Section: Ann-based Multi-node Inter-satellite Spectrum Sensing Algorithmmentioning

confidence: 99%

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

2023

KSII TIIS

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“…where α = Lk, β = θ. Integrating ( 12), ( 21) over (10), the average probability of detection can be expressed as…”

Section: Egc With Direct Linksmentioning

confidence: 99%

“…Adaptive threshold or multi-threshold was adopted to alleviate the poor detection performance of single fixed threshold under low SNR, but the cost of these schemes is much greater bandwidth and energy consumption. In [10,11], the authors combined weighting or node filtration with the hard combination to weaken the bad influence of low SNR SUs. In [5,12], the authors summarized the performance of the traditional hard and soft combination.…”

Section: Introductionmentioning

confidence: 99%

Fusion Schemes Based on IRS-Enhanced Cooperative Spectrum Sensing for Cognitive Radio Networks

Peng

2022

Electronics

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The detection performance of cooperative spectrum sensing (CSS) is poor when there are obstacles blocking. Therefore, fusion schemes based on intelligent reflecting surface (IRS)-enhanced CSS are investigated. Existing fusion schemes can be divided into the soft combination and the hard combination. In the soft combination, each secondary user (SU) uploads the decision statistic to a fusion center (FC). Comparatively, during the hard combination, each SU reports the local 0/1 decision result to FC instead of decision statistic. In this paper, the equal gain combination (EGC) and the selection combination (SC) schemes are studied for the soft combination. The weighted hard combination (WHC) scheme is studied for the hard combination, and an optimal set combination (OSC) scheme is proposed based on signal-to-noise ratio (SNR). By using the definition of the non-centrality chi-square distribution and the moment-matching method, the closed-form expressions for the average probability of detection of all the schemes are derived. Simulation results reveal that the detection performance of IRS-enhanced CSS obviously outperforms the decode and forward (DF) relay case and the no IRS case. In addition, our proposed OSC are superior to the K-rank in terms of the detection performance.

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Cluster mechanism for sensing data report using robust collaborative distributed spectrum sensing

et al. 2021

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Weighted Fusion Scheme for Cooperative Spectrum Sensing

Cited by 7 publications

References 19 publications

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

Fusion Schemes Based on IRS-Enhanced Cooperative Spectrum Sensing for Cognitive Radio Networks

Cluster mechanism for sensing data report using robust collaborative distributed spectrum sensing

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