FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2986769911> ?p ?o ?g. }

• W2986769911 endingPage "508" @default.
• W2986769911 startingPage "497" @default.
• W2986769911 abstract "In machine-type communications (MTC), contention-based random access is employed to support a number of MTC devices with a limited number of resource blocks (RBs). Since multiple active devices may transmit signals in the same RB or channel, the collision caused by the presence of multiple signals is inevitable and the detection of collision becomes important. Furthermore, if the arrival time and the number of multiple signals can be estimated, successive interference cancellation (SIC) can be employed in time domain to improve the throughput. In this paper, we focus on the estimation of round-trip delays (RTD) of multiple signals in non-orthogonal random access (NORA) based on the maximum likelihood (ML) criterion. Since the computational complexity of the ML approach is high, we propose a low-complexity approach based on variational inference, which is widely used in machine learning. We also show that the number of signals can be reliably estimated from the estimated RTDs." @default.
• W2986769911 created "2019-11-22" @default.
• W2986769911 creator A5000647005 @default.
• W2986769911 creator A5007937717 @default.
• W2986769911 creator A5022303970 @default.
• W2986769911 creator A5026553892 @default.
• W2986769911 creator A5066586426 @default.
• W2986769911 date "2020-01-01" @default.
• W2986769911 modified "2023-10-15" @default.
• W2986769911 title "Multiple Delay Estimation for Collision Resolution in Non-Orthogonal Random Access" @default.
• W2986769911 cites W1516111018 @default.
• W2986769911 cites W1529406030 @default.
• W2986769911 cites W1598758443 @default.
• W2986769911 cites W1971698822 @default.
• W2986769911 cites W1996879523 @default.
• W2986769911 cites W2054658115 @default.
• W2986769911 cites W2085397970 @default.
• W2986769911 cites W2135125144 @default.
• W2986769911 cites W2165006619 @default.
• W2986769911 cites W2170531625 @default.
• W2986769911 cites W2211648482 @default.
• W2986769911 cites W2277074862 @default.
• W2986769911 cites W2277419020 @default.
• W2986769911 cites W2321513967 @default.
• W2986769911 cites W2339435260 @default.
• W2986769911 cites W2343896316 @default.
• W2986769911 cites W2422021507 @default.
• W2986769911 cites W2521280776 @default.
• W2986769911 cites W2562460992 @default.
• W2986769911 cites W2567213699 @default.
• W2986769911 cites W2591988884 @default.
• W2986769911 cites W2642385489 @default.
• W2986769911 cites W2735344404 @default.
• W2986769911 cites W2736048253 @default.
• W2986769911 cites W2767102448 @default.
• W2986769911 cites W2792846363 @default.
• W2986769911 cites W2800992211 @default.
• W2986769911 cites W2809991843 @default.
• W2986769911 cites W2893666888 @default.
• W2986769911 cites W2927881074 @default.
• W2986769911 cites W2962947312 @default.
• W2986769911 cites W3099378150 @default.
• W2986769911 cites W3101380508 @default.
• W2986769911 cites W4250598470 @default.
• W2986769911 cites W4300029251 @default.
• W2986769911 cites W577338444 @default.
• W2986769911 cites W2904855028 @default.
• W2986769911 doi "https://doi.org/10.1109/tvt.2019.2950474" @default.
• W2986769911 hasPublicationYear "2020" @default.
• W2986769911 type Work @default.
• W2986769911 sameAs 2986769911 @default.
• W2986769911 citedByCount "13" @default.
• W2986769911 countsByYear W29867699112020 @default.
• W2986769911 countsByYear W29867699112021 @default.
• W2986769911 countsByYear W29867699112022 @default.
• W2986769911 countsByYear W29867699112023 @default.
• W2986769911 crossrefType "journal-article" @default.
• W2986769911 hasAuthorship W2986769911A5000647005 @default.
• W2986769911 hasAuthorship W2986769911A5007937717 @default.
• W2986769911 hasAuthorship W2986769911A5022303970 @default.
• W2986769911 hasAuthorship W2986769911A5026553892 @default.
• W2986769911 hasAuthorship W2986769911A5066586426 @default.
• W2986769911 hasConcept C101722063 @default.
• W2986769911 hasConcept C103824480 @default.
• W2986769911 hasConcept C11413529 @default.
• W2986769911 hasConcept C120665830 @default.
• W2986769911 hasConcept C121332964 @default.
• W2986769911 hasConcept C121704057 @default.
• W2986769911 hasConcept C127162648 @default.
• W2986769911 hasConcept C157764524 @default.
• W2986769911 hasConcept C179799912 @default.
• W2986769911 hasConcept C192209626 @default.
• W2986769911 hasConcept C199668693 @default.
• W2986769911 hasConcept C31258907 @default.
• W2986769911 hasConcept C31972630 @default.
• W2986769911 hasConcept C32022120 @default.
• W2986769911 hasConcept C38652104 @default.
• W2986769911 hasConcept C41008148 @default.
• W2986769911 hasConcept C555944384 @default.
• W2986769911 hasConcept C57273362 @default.
• W2986769911 hasConcept C76155785 @default.
• W2986769911 hasConcept C79403827 @default.
• W2986769911 hasConcept C83204339 @default.
• W2986769911 hasConceptScore W2986769911C101722063 @default.
• W2986769911 hasConceptScore W2986769911C103824480 @default.
• W2986769911 hasConceptScore W2986769911C11413529 @default.
• W2986769911 hasConceptScore W2986769911C120665830 @default.
• W2986769911 hasConceptScore W2986769911C121332964 @default.
• W2986769911 hasConceptScore W2986769911C121704057 @default.
• W2986769911 hasConceptScore W2986769911C127162648 @default.
• W2986769911 hasConceptScore W2986769911C157764524 @default.
• W2986769911 hasConceptScore W2986769911C179799912 @default.
• W2986769911 hasConceptScore W2986769911C192209626 @default.
• W2986769911 hasConceptScore W2986769911C199668693 @default.
• W2986769911 hasConceptScore W2986769911C31258907 @default.
• W2986769911 hasConceptScore W2986769911C31972630 @default.
• W2986769911 hasConceptScore W2986769911C32022120 @default.
• W2986769911 hasConceptScore W2986769911C38652104 @default.

• next