FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386231244> ?p ?o ?g. }

• W4386231244 abstract "Due to the data rate demand, reliability, and flexibility of 5G cellular systems, quest for new modulation schemes has gained importance. The high mobility use case family is one of the many new use case families for 5G and is one that presents technological difficulties. In the future, it is anticipated that there will be a demand in growth for mobile services in vehicles, high-speed trains as well as aircraft. Orthogonal Time Frequency Space (OTFS) is a recently proposed modulation scheme that is very well-suitable for high-speed scenarios where the Doppler shifts are quite high. To utilize spatial multiplexing, diversity gain, and downlink precoding computations, downlink channel responses need to be fed back to the base station in frequency division duplexing (FDD) operated systems. Acquiring accurate channel state information (CSI) in high mobility scenarios is extremely challenging. Conventional algorithms use compressed sensing but, the process of reconstruction is very slow. Hence, recent techniques use deep learning to compress the CSI with low dimensionality and the original channel matrix is recovered at the base station. This paper proposes a novel deep learning network named Doubly Selective Channel Feedback Network (DSC-FeedNet) which follows the concept of an autoencoder and inception block for reliable reconstruction of channel information. Simulation results show the superior performance of DSCFeedNet compared to the existing fast iterative shrinkage thresholding algorithm (FISTA) network and CSiNet. The proposed network provides an improvement of 11.5 dB, 14.7 dB, 19.55 dB, and 20.54 dB in NMSE over CSiNet for the reconstruction of the original channel matrix for the compression ratios 1/4, 1/8, 1/16, and 1/32 respectively." @default.
• W4386231244 created "2023-08-29" @default.
• W4386231244 creator A5033035563 @default.
• W4386231244 creator A5039929864 @default.
• W4386231244 creator A5058008695 @default.
• W4386231244 creator A5063801557 @default.
• W4386231244 creator A5075822182 @default.
• W4386231244 date "2022-12-18" @default.
• W4386231244 modified "2023-09-27" @default.
• W4386231244 title "DSC-FeedNet Based CSI Feedback in Massive MIMO OTFS Systems" @default.
• W4386231244 cites W1938636034 @default.
• W4386231244 cites W2021476517 @default.
• W4386231244 cites W2097117768 @default.
• W4386231244 cites W2099721949 @default.
• W4386231244 cites W2115706991 @default.
• W4386231244 cites W2119531925 @default.
• W4386231244 cites W2317095563 @default.
• W4386231244 cites W2584943905 @default.
• W4386231244 cites W2612254130 @default.
• W4386231244 cites W2798559986 @default.
• W4386231244 cites W2888002205 @default.
• W4386231244 cites W2950013137 @default.
• W4386231244 cites W2963145597 @default.
• W4386231244 cites W2963190722 @default.
• W4386231244 cites W2963290405 @default.
• W4386231244 cites W2963676935 @default.
• W4386231244 cites W2963817362 @default.
• W4386231244 cites W2963986627 @default.
• W4386231244 cites W3194281015 @default.
• W4386231244 cites W4200632175 @default.
• W4386231244 cites W4210629624 @default.
• W4386231244 doi "https://doi.org/10.1109/ants56424.2022.10227759" @default.
• W4386231244 hasPublicationYear "2022" @default.
• W4386231244 type Work @default.
• W4386231244 citedByCount "0" @default.
• W4386231244 crossrefType "proceedings-article" @default.
• W4386231244 hasAuthorship W4386231244A5033035563 @default.
• W4386231244 hasAuthorship W4386231244A5039929864 @default.
• W4386231244 hasAuthorship W4386231244A5058008695 @default.
• W4386231244 hasAuthorship W4386231244A5063801557 @default.
• W4386231244 hasAuthorship W4386231244A5075822182 @default.
• W4386231244 hasConcept C127162648 @default.
• W4386231244 hasConcept C127413603 @default.
• W4386231244 hasConcept C138660444 @default.
• W4386231244 hasConcept C148063708 @default.
• W4386231244 hasConcept C160562895 @default.
• W4386231244 hasConcept C207987634 @default.
• W4386231244 hasConcept C24326235 @default.
• W4386231244 hasConcept C31258907 @default.
• W4386231244 hasConcept C40409654 @default.
• W4386231244 hasConcept C41008148 @default.
• W4386231244 hasConcept C555944384 @default.
• W4386231244 hasConcept C68649174 @default.
• W4386231244 hasConcept C76155785 @default.
• W4386231244 hasConcept C79403827 @default.
• W4386231244 hasConceptScore W4386231244C127162648 @default.
• W4386231244 hasConceptScore W4386231244C127413603 @default.
• W4386231244 hasConceptScore W4386231244C138660444 @default.
• W4386231244 hasConceptScore W4386231244C148063708 @default.
• W4386231244 hasConceptScore W4386231244C160562895 @default.
• W4386231244 hasConceptScore W4386231244C207987634 @default.
• W4386231244 hasConceptScore W4386231244C24326235 @default.
• W4386231244 hasConceptScore W4386231244C31258907 @default.
• W4386231244 hasConceptScore W4386231244C40409654 @default.
• W4386231244 hasConceptScore W4386231244C41008148 @default.
• W4386231244 hasConceptScore W4386231244C555944384 @default.
• W4386231244 hasConceptScore W4386231244C68649174 @default.
• W4386231244 hasConceptScore W4386231244C76155785 @default.
• W4386231244 hasConceptScore W4386231244C79403827 @default.
• W4386231244 hasLocation W43862312441 @default.
• W4386231244 hasOpenAccess W4386231244 @default.
• W4386231244 hasPrimaryLocation W43862312441 @default.
• W4386231244 hasRelatedWork W1976511355 @default.
• W4386231244 hasRelatedWork W2047244900 @default.
• W4386231244 hasRelatedWork W2156331136 @default.
• W4386231244 hasRelatedWork W2162261253 @default.
• W4386231244 hasRelatedWork W2587236994 @default.
• W4386231244 hasRelatedWork W2792034793 @default.
• W4386231244 hasRelatedWork W3044305012 @default.
• W4386231244 hasRelatedWork W3092731089 @default.
• W4386231244 hasRelatedWork W3190774574 @default.
• W4386231244 hasRelatedWork W4291722335 @default.
• W4386231244 isParatext "false" @default.
• W4386231244 isRetracted "false" @default.
• W4386231244 workType "article" @default.