FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2076449723> ?p ?o ?g. }

• W2076449723 endingPage "1439" @default.
• W2076449723 startingPage "1428" @default.
• W2076449723 abstract "This paper investigates the channel estimations in a relay network with multiple transmit and receive antennas, including the estimation of the end-to-end channel matrix and the individual estimation of the transmitter-relay channels and the relay-receiver channels. For the end-to-end channel estimation, instead of directly estimating entries of the channel matrix, we use singular value decomposition (SVD) and estimate its largest singular value and singular vectors, which are then combined to form an estimation of the channel matrix. An approximate maximum-likelihood (ML) estimation is proposed, which is shown to become the exact ML estimation when the time duration of each training step equals the number of antennas at the transmitter. Simulation on the mean square error (MSE) shows that the SVD-based approximate ML estimation performs about the same as the exact ML estimation and is superior to entry-based estimations. For the individual channel estimation, we decompose each channel vector into the product of its length and direction, and find the ML estimation of each. By using an approximation on the probability density function (PDF) of the observations during training, an analytical ML estimation is derived. The ML estimation with the exact PDF is also investigated and a solution is obtained numerically. Simulation on the MSE shows that the two have similar performance. Compared with cascade channel estimations, its performance is superior for the relay-receiver channel estimation and comparable for the transmitter-relay channel estimation. Extension to the general multiple-antenna multiple-relay network is also provided." @default.
• W2076449723 created "2016-06-24" @default.
• W2076449723 creator A5055954967 @default.
• W2076449723 creator A5086931919 @default.
• W2076449723 date "2012-09-01" @default.
• W2076449723 modified "2023-09-26" @default.
• W2076449723 title "ML-Based Channel Estimations for Non-Regenerative Relay Networks with Multiple Transmit and Receive Antennas" @default.
• W2076449723 cites W1514337951 @default.
• W2076449723 cites W1983459476 @default.
• W2076449723 cites W2026898705 @default.
• W2076449723 cites W2048057186 @default.
• W2076449723 cites W2072018618 @default.
• W2076449723 cites W2096219345 @default.
• W2076449723 cites W2097463269 @default.
• W2076449723 cites W2102934991 @default.
• W2076449723 cites W2103276485 @default.
• W2076449723 cites W2103366363 @default.
• W2076449723 cites W2106929598 @default.
• W2076449723 cites W2112920116 @default.
• W2076449723 cites W2113026489 @default.
• W2076449723 cites W2125797984 @default.
• W2076449723 cites W2126977226 @default.
• W2076449723 cites W2129477191 @default.
• W2076449723 cites W2130134073 @default.
• W2076449723 cites W2133338231 @default.
• W2076449723 cites W2136209931 @default.
• W2076449723 cites W2144802563 @default.
• W2076449723 cites W2148963518 @default.
• W2076449723 cites W2151533421 @default.
• W2076449723 cites W2156960709 @default.
• W2076449723 cites W2159496911 @default.
• W2076449723 cites W2159888987 @default.
• W2076449723 cites W2161637634 @default.
• W2076449723 cites W2161925986 @default.
• W2076449723 cites W2162136845 @default.
• W2076449723 cites W2166043542 @default.
• W2076449723 cites W2168093326 @default.
• W2076449723 cites W2171040310 @default.
• W2076449723 cites W3100839090 @default.
• W2076449723 doi "https://doi.org/10.1109/jsac.2012.120912" @default.
• W2076449723 hasPublicationYear "2012" @default.
• W2076449723 type Work @default.
• W2076449723 sameAs 2076449723 @default.
• W2076449723 citedByCount "41" @default.
• W2076449723 countsByYear W20764497232013 @default.
• W2076449723 countsByYear W20764497232014 @default.
• W2076449723 countsByYear W20764497232015 @default.
• W2076449723 countsByYear W20764497232016 @default.
• W2076449723 countsByYear W20764497232018 @default.
• W2076449723 countsByYear W20764497232019 @default.
• W2076449723 countsByYear W20764497232020 @default.
• W2076449723 countsByYear W20764497232021 @default.
• W2076449723 countsByYear W20764497232022 @default.
• W2076449723 crossrefType "journal-article" @default.
• W2076449723 hasAuthorship W2076449723A5055954967 @default.
• W2076449723 hasAuthorship W2076449723A5086931919 @default.
• W2076449723 hasConcept C105795698 @default.
• W2076449723 hasConcept C11413529 @default.
• W2076449723 hasConcept C121332964 @default.
• W2076449723 hasConcept C127162648 @default.
• W2076449723 hasConcept C163258240 @default.
• W2076449723 hasConcept C167928553 @default.
• W2076449723 hasConcept C22789450 @default.
• W2076449723 hasConcept C2778156585 @default.
• W2076449723 hasConcept C33923547 @default.
• W2076449723 hasConcept C41008148 @default.
• W2076449723 hasConcept C46257984 @default.
• W2076449723 hasConcept C47798520 @default.
• W2076449723 hasConcept C62520636 @default.
• W2076449723 hasConcept C76155785 @default.
• W2076449723 hasConceptScore W2076449723C105795698 @default.
• W2076449723 hasConceptScore W2076449723C11413529 @default.
• W2076449723 hasConceptScore W2076449723C121332964 @default.
• W2076449723 hasConceptScore W2076449723C127162648 @default.
• W2076449723 hasConceptScore W2076449723C163258240 @default.
• W2076449723 hasConceptScore W2076449723C167928553 @default.
• W2076449723 hasConceptScore W2076449723C22789450 @default.
• W2076449723 hasConceptScore W2076449723C2778156585 @default.
• W2076449723 hasConceptScore W2076449723C33923547 @default.
• W2076449723 hasConceptScore W2076449723C41008148 @default.
• W2076449723 hasConceptScore W2076449723C46257984 @default.
• W2076449723 hasConceptScore W2076449723C47798520 @default.
• W2076449723 hasConceptScore W2076449723C62520636 @default.
• W2076449723 hasConceptScore W2076449723C76155785 @default.
• W2076449723 hasIssue "8" @default.
• W2076449723 hasLocation W20764497231 @default.
• W2076449723 hasOpenAccess W2076449723 @default.
• W2076449723 hasPrimaryLocation W20764497231 @default.
• W2076449723 hasRelatedWork W1985441670 @default.
• W2076449723 hasRelatedWork W2039744679 @default.
• W2076449723 hasRelatedWork W2112947604 @default.
• W2076449723 hasRelatedWork W2116249419 @default.
• W2076449723 hasRelatedWork W2127863638 @default.
• W2076449723 hasRelatedWork W2165255459 @default.
• W2076449723 hasRelatedWork W2170882197 @default.
• W2076449723 hasRelatedWork W2197207946 @default.
• W2076449723 hasRelatedWork W2542765246 @default.
• W2076449723 hasRelatedWork W2602314171 @default.

• next