Matches in SemOpenAlex for { <https://semopenalex.org/work/W3106545946> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W3106545946 abstract "High mobility channel estimation is crucial for beyond 5G (B5G) or 6G wireless communication networks. This paper is concerned with channel estimation of high mobility OFDM communication systems. First, a two-dimensional compressed sensing problem is formulated by approximately linearizing the channel as a product of an overcomplete dictionary with a sparse vector, in which the Doppler effect caused by the high mobility channel is considered. To solve the problem that the traditional compressed sensing algorithms have too many iterations and are time consuming, we propose an unfolded deep neural network (UDNN) as the fast solver, which is inspired by the structure of iterative shrinkage-thresholding algorithm (ISTA). All the parameters in UDNN (e.g. nonlinear transforms, shrinkage thresholds, measurement matrices, etc.) are learned end-to-end, rather than being hand-crafted. Experiments demonstrate that the proposed UDNN performs better than ISTA for OFDM high mobility channel estimation, while maintaining extremely fast computational speed." @default.
- W3106545946 created "2020-12-07" @default.
- W3106545946 creator A5002949162 @default.
- W3106545946 creator A5040205022 @default.
- W3106545946 creator A5058463107 @default.
- W3106545946 date "2020-11-30" @default.
- W3106545946 modified "2023-09-26" @default.
- W3106545946 title "Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation" @default.
- W3106545946 cites W1586310912 @default.
- W3106545946 cites W2028191993 @default.
- W3106545946 cites W2096985797 @default.
- W3106545946 cites W2103955025 @default.
- W3106545946 cites W2118103795 @default.
- W3106545946 cites W2296616510 @default.
- W3106545946 cites W2565293665 @default.
- W3106545946 cites W2578815541 @default.
- W3106545946 cites W2605149632 @default.
- W3106545946 cites W2609615032 @default.
- W3106545946 cites W2784187484 @default.
- W3106545946 cites W2798559986 @default.
- W3106545946 cites W2902719825 @default.
- W3106545946 cites W2964106337 @default.
- W3106545946 cites W2966759531 @default.
- W3106545946 cites W2993976228 @default.
- W3106545946 doi "https://doi.org/10.48550/arxiv.2012.00563" @default.
- W3106545946 hasPublicationYear "2020" @default.
- W3106545946 type Work @default.
- W3106545946 sameAs 3106545946 @default.
- W3106545946 citedByCount "0" @default.
- W3106545946 crossrefType "posted-content" @default.
- W3106545946 hasAuthorship W3106545946A5002949162 @default.
- W3106545946 hasAuthorship W3106545946A5040205022 @default.
- W3106545946 hasAuthorship W3106545946A5058463107 @default.
- W3106545946 hasBestOaLocation W31065459461 @default.
- W3106545946 hasConcept C11413529 @default.
- W3106545946 hasConcept C115961682 @default.
- W3106545946 hasConcept C124851039 @default.
- W3106545946 hasConcept C127162648 @default.
- W3106545946 hasConcept C154945302 @default.
- W3106545946 hasConcept C191178318 @default.
- W3106545946 hasConcept C199360897 @default.
- W3106545946 hasConcept C2778770139 @default.
- W3106545946 hasConcept C40409654 @default.
- W3106545946 hasConcept C41008148 @default.
- W3106545946 hasConcept C50644808 @default.
- W3106545946 hasConcept C76155785 @default.
- W3106545946 hasConceptScore W3106545946C11413529 @default.
- W3106545946 hasConceptScore W3106545946C115961682 @default.
- W3106545946 hasConceptScore W3106545946C124851039 @default.
- W3106545946 hasConceptScore W3106545946C127162648 @default.
- W3106545946 hasConceptScore W3106545946C154945302 @default.
- W3106545946 hasConceptScore W3106545946C191178318 @default.
- W3106545946 hasConceptScore W3106545946C199360897 @default.
- W3106545946 hasConceptScore W3106545946C2778770139 @default.
- W3106545946 hasConceptScore W3106545946C40409654 @default.
- W3106545946 hasConceptScore W3106545946C41008148 @default.
- W3106545946 hasConceptScore W3106545946C50644808 @default.
- W3106545946 hasConceptScore W3106545946C76155785 @default.
- W3106545946 hasLocation W31065459461 @default.
- W3106545946 hasOpenAccess W3106545946 @default.
- W3106545946 hasPrimaryLocation W31065459461 @default.
- W3106545946 hasRelatedWork W1990430326 @default.
- W3106545946 hasRelatedWork W2088590471 @default.
- W3106545946 hasRelatedWork W2338691873 @default.
- W3106545946 hasRelatedWork W2350974928 @default.
- W3106545946 hasRelatedWork W2356883960 @default.
- W3106545946 hasRelatedWork W2379907286 @default.
- W3106545946 hasRelatedWork W2380403159 @default.
- W3106545946 hasRelatedWork W3115598853 @default.
- W3106545946 hasRelatedWork W345219543 @default.
- W3106545946 hasRelatedWork W4285225454 @default.
- W3106545946 isParatext "false" @default.
- W3106545946 isRetracted "false" @default.
- W3106545946 magId "3106545946" @default.
- W3106545946 workType "article" @default.