Sequentially Mixing Randomly Arriving Packets Improves Channel Dispersion Over Block-Based Designs

Pin Wen Su, Yu Chih Huang, Shih Chun Lin, I. Hsiang Wang, Chih Chun Wang

研究成果: Conference contribution同行評審

摘要

Channel dispersion quantifies the convergence speed of coding rate to channel capacity under different latency constraints. Under the setting of packet erasure channels (PECs) with Bernoulli packet arrivals, this work characterizes the channel dispersions of random linear streaming codes (RLSCs) and MDS block codes, respectively. New techniques are developed to quantify the channel dispersion of sequential (non-block-based) coding, the first in the literature. The channel dispersion expressions are then used to compare the levels of error protection between RLSCs and MDS block codes. The results show that if and only if the target error probability pe is smaller than a threshold (≈0.1774), RLSCs offer strictly stronger error protection than MDS block codes, which is on top of the already significant 50% latency savings of RLSCs that eliminate the queueing delay completely.

原文English
主出版物標題2022 IEEE International Symposium on Information Theory, ISIT 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2321-2326
頁數6
ISBN(電子)9781665421591
DOIs
出版狀態Published - 2022
事件2022 IEEE International Symposium on Information Theory, ISIT 2022 - Espoo, Finland
持續時間: 26 6月 20221 7月 2022

出版系列

名字IEEE International Symposium on Information Theory - Proceedings
2022-June
ISSN(列印)2157-8095

Conference

Conference2022 IEEE International Symposium on Information Theory, ISIT 2022
國家/地區Finland
城市Espoo
期間26/06/221/07/22

指紋

深入研究「Sequentially Mixing Randomly Arriving Packets Improves Channel Dispersion Over Block-Based Designs」主題。共同形成了獨特的指紋。

引用此