FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4307436775> ?p ?o ?g. }

• W4307436775 endingPage "8230" @default.
• W4307436775 startingPage "8230" @default.
• W4307436775 abstract "Cognitive Radio (CR) is a practical technique for overcoming spectrum inefficiencies by sensing and utilizing spectrum holes over a wide spectrum. In particular, cooperative spectrum sensing (CSS) determines the state of primary users (PUs) by cooperating with multiple secondary users (SUs) distributed around a Cognitive Radio Network (CRN), further overcoming various noise and fading issues in the radio environment. But it's still challenging to balance energy efficiency and good sensing performances in the existing CSS system, especially when the CRN consists of battery-limited sensors. This article investigates the application of machine learning technologies for cooperative spectrum sensing, especially through solving a multi-dimensional optimization that cannot be readily addressed by traditional approaches. Specifically, we develop a neural network, which involves parameters that are integral to the CSS performance, including a device sleeping rate for each sensor and thresholds used in the energy detection method, and a customized loss function based on the energy consumption of the CSS system and multiple penalty terms reflecting the system requirements. Using this formulation, energy consumption is to be minimized with the guarantee of reaching a certain probability of false alarm and detection in the CSS system. With the proposed method, comparison studies under different hard fusion rules ('OR' and 'AND') demonstrate its effectiveness in improving the CSS system performances, as well as its robustness in the face of changing global requirements. This paper also suggests the combination of the traditional and the proposed scheme to circumvent the respective inherent pitfalls of neural networks and the traditional semi-analytic methods." @default.
• W4307436775 created "2022-11-01" @default.
• W4307436775 creator A5025505977 @default.
• W4307436775 creator A5031417415 @default.
• W4307436775 creator A5089368710 @default.
• W4307436775 date "2022-10-27" @default.
• W4307436775 modified "2023-10-01" @default.
• W4307436775 title "Energy-Efficient Cooperative Spectrum Sensing Using Machine Learning Algorithm" @default.
• W4307436775 cites W1574166711 @default.
• W4307436775 cites W1988115241 @default.
• W4307436775 cites W2037333870 @default.
• W4307436775 cites W2041289314 @default.
• W4307436775 cites W2047986450 @default.
• W4307436775 cites W2071570957 @default.
• W4307436775 cites W2092431085 @default.
• W4307436775 cites W2103496339 @default.
• W4307436775 cites W2106673869 @default.
• W4307436775 cites W2119058356 @default.
• W4307436775 cites W2127040151 @default.
• W4307436775 cites W2136277139 @default.
• W4307436775 cites W2136922672 @default.
• W4307436775 cites W2146315101 @default.
• W4307436775 cites W2159361138 @default.
• W4307436775 cites W2161941738 @default.
• W4307436775 cites W2162658997 @default.
• W4307436775 cites W2168746287 @default.
• W4307436775 cites W2170524206 @default.
• W4307436775 cites W2172139273 @default.
• W4307436775 cites W2188632736 @default.
• W4307436775 cites W2340718617 @default.
• W4307436775 cites W2512358362 @default.
• W4307436775 cites W2734487844 @default.
• W4307436775 cites W2790902314 @default.
• W4307436775 cites W2908498346 @default.
• W4307436775 cites W2908993293 @default.
• W4307436775 cites W2955103784 @default.
• W4307436775 cites W3011123090 @default.
• W4307436775 cites W3033044509 @default.
• W4307436775 cites W3036785262 @default.
• W4307436775 cites W3113419904 @default.
• W4307436775 cites W3182706339 @default.
• W4307436775 doi "https://doi.org/10.3390/s22218230" @default.
• W4307436775 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36365925" @default.
• W4307436775 hasPublicationYear "2022" @default.
• W4307436775 type Work @default.
• W4307436775 citedByCount "0" @default.
• W4307436775 crossrefType "journal-article" @default.
• W4307436775 hasAuthorship W4307436775A5025505977 @default.
• W4307436775 hasAuthorship W4307436775A5031417415 @default.
• W4307436775 hasAuthorship W4307436775A5089368710 @default.
• W4307436775 hasBestOaLocation W43074367751 @default.
• W4307436775 hasConcept C104317684 @default.
• W4307436775 hasConcept C105795698 @default.
• W4307436775 hasConcept C11413529 @default.
• W4307436775 hasConcept C119599485 @default.
• W4307436775 hasConcept C119857082 @default.
• W4307436775 hasConcept C127413603 @default.
• W4307436775 hasConcept C136764020 @default.
• W4307436775 hasConcept C149946192 @default.
• W4307436775 hasConcept C185592680 @default.
• W4307436775 hasConcept C186370098 @default.
• W4307436775 hasConcept C21959979 @default.
• W4307436775 hasConcept C24326235 @default.
• W4307436775 hasConcept C24590314 @default.
• W4307436775 hasConcept C2742236 @default.
• W4307436775 hasConcept C2776836416 @default.
• W4307436775 hasConcept C2780165032 @default.
• W4307436775 hasConcept C31258907 @default.
• W4307436775 hasConcept C33923547 @default.
• W4307436775 hasConcept C41008148 @default.
• W4307436775 hasConcept C50644808 @default.
• W4307436775 hasConcept C55493867 @default.
• W4307436775 hasConcept C555944384 @default.
• W4307436775 hasConcept C57273362 @default.
• W4307436775 hasConcept C63479239 @default.
• W4307436775 hasConcept C76155785 @default.
• W4307436775 hasConcept C79403827 @default.
• W4307436775 hasConcept C81978471 @default.
• W4307436775 hasConcept C93213560 @default.
• W4307436775 hasConceptScore W4307436775C104317684 @default.
• W4307436775 hasConceptScore W4307436775C105795698 @default.
• W4307436775 hasConceptScore W4307436775C11413529 @default.
• W4307436775 hasConceptScore W4307436775C119599485 @default.
• W4307436775 hasConceptScore W4307436775C119857082 @default.
• W4307436775 hasConceptScore W4307436775C127413603 @default.
• W4307436775 hasConceptScore W4307436775C136764020 @default.
• W4307436775 hasConceptScore W4307436775C149946192 @default.
• W4307436775 hasConceptScore W4307436775C185592680 @default.
• W4307436775 hasConceptScore W4307436775C186370098 @default.
• W4307436775 hasConceptScore W4307436775C21959979 @default.
• W4307436775 hasConceptScore W4307436775C24326235 @default.
• W4307436775 hasConceptScore W4307436775C24590314 @default.
• W4307436775 hasConceptScore W4307436775C2742236 @default.
• W4307436775 hasConceptScore W4307436775C2776836416 @default.
• W4307436775 hasConceptScore W4307436775C2780165032 @default.
• W4307436775 hasConceptScore W4307436775C31258907 @default.
• W4307436775 hasConceptScore W4307436775C33923547 @default.
• W4307436775 hasConceptScore W4307436775C41008148 @default.

• next