Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040291403> ?p ?o ?g. }
- W3040291403 endingPage "2863" @default.
- W3040291403 startingPage "2853" @default.
- W3040291403 abstract "Time synchronization is crucial for the safe and reliable operation of the fifth generation (5G) network, especially for applications requiring ultra-reliable low-latency data transmissions. The time synchronization problem, however, becomes increasingly challenging in high-mobility scenarios because the channel conditions, e.g., the multipath delay spread may vary rapidly. While there exist numerous works on the design of efficient channel decoding algorithms, decoding linear codes such as polar codes in the presence of synchronization errors is a less-explored topic. In this paper, we aim to fill this void and develop a systemic approach to decode general binary linear codes over binary symmetric channels with synchronization errors in which the lack of synchronization is modeled as the deletion channel model. The maximum likelihood (ML) decoding problem for binary linear codes over deletion channels is first formulated as a nonlinear optimization problem, in which a set of linear constraints are employed to characterize the input-output relationship of a deletion channel. It turns out that both the objective function and the constraints of this optimization problem are nonlinear, which poses significant challenges against the design of efficient decoding algorithms. As a remedy, we first replace the nonlinear objective function of this optimization problem via a lower bound. And we prove this lower bound is a linear function in the special case that the input is binary. We then apply the linear programming (LP) relaxation approach to obtain an approximate solution to the proposed nonlinear optimization problem. An adaptive branch-and-cut decoding algorithm has also been developed by making use of the ML-certificate property of the LP decoder for deletion channel. It is seen through simulation studies that the proposed decoding algorithm can achieve close-to-optimal bit error rate (BER) decoding performance at moderate computational complexity." @default.
- W3040291403 created "2020-07-10" @default.
- W3040291403 creator A5006620409 @default.
- W3040291403 creator A5009827642 @default.
- W3040291403 creator A5036911243 @default.
- W3040291403 creator A5045020120 @default.
- W3040291403 creator A5064619972 @default.
- W3040291403 date "2020-12-01" @default.
- W3040291403 modified "2023-10-15" @default.
- W3040291403 title "Decoding Binary Linear Codes Over Channels With Synchronization Errors" @default.
- W3040291403 cites W1652876111 @default.
- W3040291403 cites W1966926127 @default.
- W3040291403 cites W1976819640 @default.
- W3040291403 cites W1995875735 @default.
- W3040291403 cites W2020560159 @default.
- W3040291403 cites W2033234285 @default.
- W3040291403 cites W2034381439 @default.
- W3040291403 cites W2065673954 @default.
- W3040291403 cites W2075397399 @default.
- W3040291403 cites W2101549738 @default.
- W3040291403 cites W2103188198 @default.
- W3040291403 cites W2108353263 @default.
- W3040291403 cites W2113237846 @default.
- W3040291403 cites W2125870772 @default.
- W3040291403 cites W2134750166 @default.
- W3040291403 cites W2137445826 @default.
- W3040291403 cites W2140017953 @default.
- W3040291403 cites W2140745809 @default.
- W3040291403 cites W2150177999 @default.
- W3040291403 cites W2150498905 @default.
- W3040291403 cites W2151069512 @default.
- W3040291403 cites W2158665129 @default.
- W3040291403 cites W2169134868 @default.
- W3040291403 cites W2170915934 @default.
- W3040291403 cites W2172190188 @default.
- W3040291403 cites W2568570574 @default.
- W3040291403 cites W2769544239 @default.
- W3040291403 cites W2887116822 @default.
- W3040291403 cites W2888476852 @default.
- W3040291403 cites W2934866582 @default.
- W3040291403 cites W2963869198 @default.
- W3040291403 cites W2963985327 @default.
- W3040291403 cites W2976765088 @default.
- W3040291403 cites W2995053006 @default.
- W3040291403 doi "https://doi.org/10.1109/jsac.2020.3005491" @default.
- W3040291403 hasPublicationYear "2020" @default.
- W3040291403 type Work @default.
- W3040291403 sameAs 3040291403 @default.
- W3040291403 citedByCount "3" @default.
- W3040291403 countsByYear W30402914032021 @default.
- W3040291403 countsByYear W30402914032022 @default.
- W3040291403 countsByYear W30402914032023 @default.
- W3040291403 crossrefType "journal-article" @default.
- W3040291403 hasAuthorship W3040291403A5006620409 @default.
- W3040291403 hasAuthorship W3040291403A5009827642 @default.
- W3040291403 hasAuthorship W3040291403A5036911243 @default.
- W3040291403 hasAuthorship W3040291403A5045020120 @default.
- W3040291403 hasAuthorship W3040291403A5064619972 @default.
- W3040291403 hasConcept C11413529 @default.
- W3040291403 hasConcept C127162648 @default.
- W3040291403 hasConcept C134306372 @default.
- W3040291403 hasConcept C137836250 @default.
- W3040291403 hasConcept C157125643 @default.
- W3040291403 hasConcept C173988684 @default.
- W3040291403 hasConcept C193969084 @default.
- W3040291403 hasConcept C204397858 @default.
- W3040291403 hasConcept C2778562939 @default.
- W3040291403 hasConcept C33923547 @default.
- W3040291403 hasConcept C41008148 @default.
- W3040291403 hasConcept C41045048 @default.
- W3040291403 hasConcept C48372109 @default.
- W3040291403 hasConcept C57273362 @default.
- W3040291403 hasConcept C67692717 @default.
- W3040291403 hasConcept C76155785 @default.
- W3040291403 hasConcept C77553402 @default.
- W3040291403 hasConcept C78944582 @default.
- W3040291403 hasConcept C94375191 @default.
- W3040291403 hasConceptScore W3040291403C11413529 @default.
- W3040291403 hasConceptScore W3040291403C127162648 @default.
- W3040291403 hasConceptScore W3040291403C134306372 @default.
- W3040291403 hasConceptScore W3040291403C137836250 @default.
- W3040291403 hasConceptScore W3040291403C157125643 @default.
- W3040291403 hasConceptScore W3040291403C173988684 @default.
- W3040291403 hasConceptScore W3040291403C193969084 @default.
- W3040291403 hasConceptScore W3040291403C204397858 @default.
- W3040291403 hasConceptScore W3040291403C2778562939 @default.
- W3040291403 hasConceptScore W3040291403C33923547 @default.
- W3040291403 hasConceptScore W3040291403C41008148 @default.
- W3040291403 hasConceptScore W3040291403C41045048 @default.
- W3040291403 hasConceptScore W3040291403C48372109 @default.
- W3040291403 hasConceptScore W3040291403C57273362 @default.
- W3040291403 hasConceptScore W3040291403C67692717 @default.
- W3040291403 hasConceptScore W3040291403C76155785 @default.
- W3040291403 hasConceptScore W3040291403C77553402 @default.
- W3040291403 hasConceptScore W3040291403C78944582 @default.
- W3040291403 hasConceptScore W3040291403C94375191 @default.
- W3040291403 hasFunder F4320321001 @default.
- W3040291403 hasFunder F4320335787 @default.