2016 IEEE Globecom Workshops (GC Wkshps) 2016
DOI: 10.1109/glocomw.2016.7849036
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Second-Order Memory Based LT Encoder Design

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Cited by 4 publications
(2 citation statements)
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“…When d = 2, it samples one input symbol from those with the highest instantaneous degrees, then another one from those symbols with the second highest instantaneous degree. The details are shown in Algorithm 1 [22].…”
Section: Second-order Mbltementioning
confidence: 99%
See 1 more Smart Citation
“…When d = 2, it samples one input symbol from those with the highest instantaneous degrees, then another one from those symbols with the second highest instantaneous degree. The details are shown in Algorithm 1 [22].…”
Section: Second-order Mbltementioning
confidence: 99%
“…These works mostly rely on either feedback channels or encoding/decoding operations with higher complexities, none of which is favorable to UDNs since: (i) due to the massive number of devices, leveraging the feedback channel may not be feasible, and (ii) low-power SBS, IoT, and sensory devices are not well-suited for high complexity encoding and decoding operations. Recently, memory-based LT encoders (MBLTEs) [20][21][22][23][24] were proposed for improving the bit-error-rate (BER)/frameerror-rate (FER) performance of LT codes with relatively short block-lengths at the cost of adding memory into the encoder while maintaining the same low encoding/decoding complexity as LT codes.…”
Section: Introductionmentioning
confidence: 99%