Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285280484> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W4285280484 endingPage "10753" @default.
- W4285280484 startingPage "10744" @default.
- W4285280484 abstract "Ali <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>et al.</i> proposed a physical (PHY) layer resource management for single-carrier N-antenna beamforming (BF) non-orthogonal multiple access (NOMA) systems. Cross PHY/application (APP) layer resource allocation and adaptive source encoding rate for single-antenna NOMA/ orthogonal frequency division multiple access (OFDMA) video communications was also recently proposed. These prior works did not deal with joint subcarrier/ BF cluster assignment in a cross-layer fashion. In this paper, we propose a joint adaptive source encoding rate and iterative cross-PHY/APP layer resource management for BF-NOMA-OFDMA video communications to support 2N users on one subcarrier and improves the average video quality peak-signal-to-noise ratio (PSNR). The proposed scheme outperforms Ali <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>et al.</i> PHY layer resource management by 4.18dB in the numerical results. Considering the high computational complexity of the iterative resource allocation, we further propose replacing the iterative cross-layer resource allocation by a supervised learning-based approach. We propose a novel and problem-specific post-processing procedure to guarantee the constraints that every user holds at least one subcarrier and a subcarrier support 2N users. The proposed supervised learning-based approach reduces the execution time by 98% in a GPU-based platform, comparable with 91-99% execution time reduction of supervised learning based communication algorithms in the literature, at the cost of 4% PSNR loss. Finally, we propose a supervised/unsupervised learning -based approach with minus PSNR as the cost function for continuous learning in an unsupervised learning fashion after supervised learning is done. The numerical results show that the proposed hybrid supervised/unsupervised learning approach can reduce the PSNR loss to just 1%." @default.
- W4285280484 created "2022-07-14" @default.
- W4285280484 creator A5028650629 @default.
- W4285280484 creator A5062943219 @default.
- W4285280484 creator A5074655512 @default.
- W4285280484 date "2022-10-01" @default.
- W4285280484 modified "2023-10-16" @default.
- W4285280484 title "Cross-Layer Resource Management for Downlink BF-NOMA-OFDMA Video Transmission Systems and Supervised/Unsupervised Learning Based Approach" @default.
- W4285280484 doi "https://doi.org/10.1109/tvt.2022.3187440" @default.
- W4285280484 hasPublicationYear "2022" @default.
- W4285280484 type Work @default.
- W4285280484 citedByCount "1" @default.
- W4285280484 countsByYear W42852804842023 @default.
- W4285280484 crossrefType "journal-article" @default.
- W4285280484 hasAuthorship W4285280484A5028650629 @default.
- W4285280484 hasAuthorship W4285280484A5062943219 @default.
- W4285280484 hasAuthorship W4285280484A5074655512 @default.
- W4285280484 hasConcept C11413529 @default.
- W4285280484 hasConcept C127162648 @default.
- W4285280484 hasConcept C138660444 @default.
- W4285280484 hasConcept C19247436 @default.
- W4285280484 hasConcept C198329298 @default.
- W4285280484 hasConcept C2775907427 @default.
- W4285280484 hasConcept C2775918612 @default.
- W4285280484 hasConcept C2776208322 @default.
- W4285280484 hasConcept C29202148 @default.
- W4285280484 hasConcept C31258907 @default.
- W4285280484 hasConcept C40409654 @default.
- W4285280484 hasConcept C41008148 @default.
- W4285280484 hasConcept C41918916 @default.
- W4285280484 hasConcept C555944384 @default.
- W4285280484 hasConcept C76155785 @default.
- W4285280484 hasConceptScore W4285280484C11413529 @default.
- W4285280484 hasConceptScore W4285280484C127162648 @default.
- W4285280484 hasConceptScore W4285280484C138660444 @default.
- W4285280484 hasConceptScore W4285280484C19247436 @default.
- W4285280484 hasConceptScore W4285280484C198329298 @default.
- W4285280484 hasConceptScore W4285280484C2775907427 @default.
- W4285280484 hasConceptScore W4285280484C2775918612 @default.
- W4285280484 hasConceptScore W4285280484C2776208322 @default.
- W4285280484 hasConceptScore W4285280484C29202148 @default.
- W4285280484 hasConceptScore W4285280484C31258907 @default.
- W4285280484 hasConceptScore W4285280484C40409654 @default.
- W4285280484 hasConceptScore W4285280484C41008148 @default.
- W4285280484 hasConceptScore W4285280484C41918916 @default.
- W4285280484 hasConceptScore W4285280484C555944384 @default.
- W4285280484 hasConceptScore W4285280484C76155785 @default.
- W4285280484 hasFunder F4320322795 @default.
- W4285280484 hasIssue "10" @default.
- W4285280484 hasLocation W42852804841 @default.
- W4285280484 hasOpenAccess W4285280484 @default.
- W4285280484 hasPrimaryLocation W42852804841 @default.
- W4285280484 hasRelatedWork W1510276864 @default.
- W4285280484 hasRelatedWork W1982968283 @default.
- W4285280484 hasRelatedWork W2060870071 @default.
- W4285280484 hasRelatedWork W2104610493 @default.
- W4285280484 hasRelatedWork W2149829992 @default.
- W4285280484 hasRelatedWork W2159788023 @default.
- W4285280484 hasRelatedWork W2521739753 @default.
- W4285280484 hasRelatedWork W2906930873 @default.
- W4285280484 hasRelatedWork W3120680658 @default.
- W4285280484 hasRelatedWork W4285280484 @default.
- W4285280484 hasVolume "71" @default.
- W4285280484 isParatext "false" @default.
- W4285280484 isRetracted "false" @default.
- W4285280484 workType "article" @default.