Systematic Memory MDS Sliding Window Codes Over Erasure Channels

IEEE Transactions on Communications(2021)

引用 2|浏览6
暂无评分
摘要
Memory maximum-distance-separable (mMDS) sliding window codes are a type of erasure codes with high erasure-correction capability and low decoding delay. In this paper, we study two types of systematic mMDS sliding window codes over erasure channels, i.e., scalar codes defined over a finite field GF(2 L ), and vector codes defined over a vector space GF(2) L . We first devise an efficient heuristic algorithm to produce an mMDS sliding window scalar code over relatively small GF(2 L ). Then, we investigate a special class of mMDS sliding window vector codes whose encoding/decoding are achieved by basic circular-shift and bit-wise XOR operations, and propose a general method to generate such mMDS vector codes. Our complexity analysis shows that the proposed vector codes yield much lower encoding/decoding complexity than the scalar codes. The theoretical and numerical results also demonstrate that mMDS sliding window codes dominate MDS block codes in terms of decoding delay and erasure-correction capability.
更多
查看译文
关键词
Maximum-distance-separable,sliding window code,scalar code,vector code,convolutional code,Toeplitz matrix
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要