Advanced Hardware Design for Error Correcting Codes 2014
DOI: 10.1007/978-3-319-10569-7_2
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Challenges and Limitations for Very High Throughput Decoder Architectures for Soft-Decoding

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Cited by 5 publications
(9 citation statements)
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“…The selected turbo decoder provides the highest gain at the lowest code rate from the selected decoders, but it requires 28 times more resources than the largest RS. Moreover, it is proven in [13], [14] that turbo decoders have internal decoding dependencies and design of high-speed parallel implementation in hardware is difficult.…”
Section: B Selection Of Fec Algorithmmentioning
confidence: 99%
“…The selected turbo decoder provides the highest gain at the lowest code rate from the selected decoders, but it requires 28 times more resources than the largest RS. Moreover, it is proven in [13], [14] that turbo decoders have internal decoding dependencies and design of high-speed parallel implementation in hardware is difficult.…”
Section: B Selection Of Fec Algorithmmentioning
confidence: 99%
“…Fig. 1 shows the graph representation of a (16,12) polar code where the blue-dashed-circled v represents a concatenation of two codes of length 4, a (4, 1) polar code with a (4, 3) one, yielding an (8, 4) polar code.…”
Section: A Constructionmentioning
confidence: 99%
“…codes of very high rate offer negligible coding gain over an uncoded communication. For example, among the four constituent codes of length 4 included in the (16,12) polar code illustrated in Fig. 2a, two of them are rate-1 constituent codes.…”
Section: About Constituent Codes: Frozen Bit Locations Rate and Pmentioning
confidence: 99%
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“…Notably, in [64], [65], the authors propose a fully-unrolled deeplypipelined decoder for an LDPC code. Polar codes are more suitable to unrolling as they do not feature a complex interleaver like LDPC codes.…”
Section: Architecture Operations and Processing Nodesmentioning
confidence: 99%