FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313122950> ?p ?o ?g. }

• W4313122950 endingPage "707" @default.
• W4313122950 startingPage "695" @default.
• W4313122950 abstract "In this paper, we investigate a deep learning (DL)-based resource allocation strategy for an underlay cognitive radio network with multiple-input-single-output interference channels. The beamforming vector and transmit power of secondary users (SUs) are optimized to maximize the sum energy efficiency (EE) of the SUs whilst maintaining quality-of-service for all transmissions, i.e., regulating the interference caused at the primary user to less than a given threshold whilst guaranteeing a minimum requirement for the spectral efficiency of each SU. To this end, a novel DL framework is proposed in which the resource allocation strategy is approximated by a well designed deep neural network (DNN) model consisting of three DNN units. Moreover, an efficient training methodology is devised, where the DNN model is initialized using a suboptimal solution produced by a low complexity algorithm, and unsupervised learning-based main training is followed for fine tuning. Through extensive simulations, we confirm that our training methodology with an initialization enables the collection of large amounts of labeled training data within a short preparation time, thereby improving the training performance of the proposed DNN model with a reduced training overhead. Moreover, our results show that the proposed DL-based resource allocation can achieve near-optimal EE, i.e., 95.8% of that of the optimal scheme, with a low computation time of less than 20 milliseconds, which underlines the benefit of the proposed scheme." @default.
• W4313122950 created "2023-01-06" @default.
• W4313122950 creator A5057269433 @default.
• W4313122950 creator A5066939022 @default.
• W4313122950 date "2023-06-01" @default.
• W4313122950 modified "2023-10-09" @default.
• W4313122950 title "Deep Learning-Based Energy Efficient Resource Allocation for Underlay Cognitive MISO Interference Channels" @default.
• W4313122950 cites W1569755829 @default.
• W4313122950 cites W1617893822 @default.
• W4313122950 cites W1967956032 @default.
• W4313122950 cites W1971816397 @default.
• W4313122950 cites W1998539933 @default.
• W4313122950 cites W2044207982 @default.
• W4313122950 cites W2108789935 @default.
• W4313122950 cites W2109800347 @default.
• W4313122950 cites W2124409123 @default.
• W4313122950 cites W2134112985 @default.
• W4313122950 cites W2154163615 @default.
• W4313122950 cites W2158572153 @default.
• W4313122950 cites W2161272050 @default.
• W4313122950 cites W2255703988 @default.
• W4313122950 cites W2290766975 @default.
• W4313122950 cites W2522500646 @default.
• W4313122950 cites W2540490069 @default.
• W4313122950 cites W2553535241 @default.
• W4313122950 cites W2575684252 @default.
• W4313122950 cites W2593085976 @default.
• W4313122950 cites W2616867685 @default.
• W4313122950 cites W2792882016 @default.
• W4313122950 cites W2805487442 @default.
• W4313122950 cites W2836120994 @default.
• W4313122950 cites W2839155776 @default.
• W4313122950 cites W2883104796 @default.
• W4313122950 cites W2889351029 @default.
• W4313122950 cites W2892243793 @default.
• W4313122950 cites W2908498346 @default.
• W4313122950 cites W2963157553 @default.
• W4313122950 cites W2980815282 @default.
• W4313122950 cites W3000584865 @default.
• W4313122950 cites W3010941918 @default.
• W4313122950 cites W3037207668 @default.
• W4313122950 cites W3099684761 @default.
• W4313122950 cites W3112604001 @default.
• W4313122950 cites W3119183140 @default.
• W4313122950 cites W3130307471 @default.
• W4313122950 cites W3138925698 @default.
• W4313122950 doi "https://doi.org/10.1109/tccn.2022.3222847" @default.
• W4313122950 hasPublicationYear "2023" @default.
• W4313122950 type Work @default.
• W4313122950 citedByCount "2" @default.
• W4313122950 countsByYear W43131229502023 @default.
• W4313122950 crossrefType "journal-article" @default.
• W4313122950 hasAuthorship W4313122950A5057269433 @default.
• W4313122950 hasAuthorship W4313122950A5066939022 @default.
• W4313122950 hasConcept C111919701 @default.
• W4313122950 hasConcept C114466953 @default.
• W4313122950 hasConcept C119599485 @default.
• W4313122950 hasConcept C127162648 @default.
• W4313122950 hasConcept C127413603 @default.
• W4313122950 hasConcept C137246740 @default.
• W4313122950 hasConcept C13944312 @default.
• W4313122950 hasConcept C149946192 @default.
• W4313122950 hasConcept C154945302 @default.
• W4313122950 hasConcept C199360897 @default.
• W4313122950 hasConcept C2742236 @default.
• W4313122950 hasConcept C2777679929 @default.
• W4313122950 hasConcept C2779960059 @default.
• W4313122950 hasConcept C29202148 @default.
• W4313122950 hasConcept C31258907 @default.
• W4313122950 hasConcept C32022120 @default.
• W4313122950 hasConcept C41008148 @default.
• W4313122950 hasConcept C50644808 @default.
• W4313122950 hasConcept C5119721 @default.
• W4313122950 hasConcept C54197355 @default.
• W4313122950 hasConcept C555944384 @default.
• W4313122950 hasConcept C76155785 @default.
• W4313122950 hasConceptScore W4313122950C111919701 @default.
• W4313122950 hasConceptScore W4313122950C114466953 @default.
• W4313122950 hasConceptScore W4313122950C119599485 @default.
• W4313122950 hasConceptScore W4313122950C127162648 @default.
• W4313122950 hasConceptScore W4313122950C127413603 @default.
• W4313122950 hasConceptScore W4313122950C137246740 @default.
• W4313122950 hasConceptScore W4313122950C13944312 @default.
• W4313122950 hasConceptScore W4313122950C149946192 @default.
• W4313122950 hasConceptScore W4313122950C154945302 @default.
• W4313122950 hasConceptScore W4313122950C199360897 @default.
• W4313122950 hasConceptScore W4313122950C2742236 @default.
• W4313122950 hasConceptScore W4313122950C2777679929 @default.
• W4313122950 hasConceptScore W4313122950C2779960059 @default.
• W4313122950 hasConceptScore W4313122950C29202148 @default.
• W4313122950 hasConceptScore W4313122950C31258907 @default.
• W4313122950 hasConceptScore W4313122950C32022120 @default.
• W4313122950 hasConceptScore W4313122950C41008148 @default.
• W4313122950 hasConceptScore W4313122950C50644808 @default.
• W4313122950 hasConceptScore W4313122950C5119721 @default.
• W4313122950 hasConceptScore W4313122950C54197355 @default.
• W4313122950 hasConceptScore W4313122950C555944384 @default.
• W4313122950 hasConceptScore W4313122950C76155785 @default.

• next