English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Spinal codes are a type of capacity-achieving rateless codes that have beenproved to approach the Shannon capacity over the additive white Gaussian noise(AWGN) channel and the binary symmetric channel (BSC). In this paper, we aim toanalyze the bounds on the error probability of Spinal codes and design a jointtransmission-decoding system. First, in the finite block-length regime, wederive new upper bounds on the Maximum Likelihood (ML) decoding errorprobability for Spinal codes over both the AWGN channel and the BSC. Then,based on the derived bounds, we formulate a rate maximization problem. As thesolution exhibits an incremental-tail-transmission pattern, we propose animproved transmission scheme, referred to as the thresholded incremental tailtransmission (TITT) scheme. Moreover, we also develop a dynamic TITT-matchingdecoding algorithm, called the bubble decoding with memory (BD-M) algorithm, toreduce the decoding time complexity. The TITT scheme at the transmitter and theBD-M algorithm at the receiver jointly constitute a dynamictransmission-decoding system for Spinal code, improving its rate performanceand decoding throughput. Theoretical analysis and simulation results areprovided to verify the superiority of the derived bounds and the proposed jointtransmission-decoding system design.

New Upper Bounds on the Error Probability under ML Decoding for Spinal Codes and the Joint Transmission-Decoding System Design