面向短包URLLC的自适应稀疏矢量编码
Adaptive Sparse VectorCoding for Short Packet URLLC
陈亚迪 1罗亿 2张雪婉2
作者信息
- 1. 南阳师范学院图书馆,河南南阳 473061
- 2. 南阳师范学院物理与电子工程学院,河南南阳 473061
- 折叠
摘要
稀疏矢量编码(SVC)是一项极具潜力的面向短包高可靠低时延通信(URL LC)的传输技术.然而,当前的基于排列组合稀疏变换的SVC在编码效率较高时其传输性能并不理想.为了改善这一现状,利用索引比特流的二进制和十进制转换间的固有对应关系,提出了一种自适应稀疏变换的SVC(AD-SVC)传输方案.所提AD-SVC传输方案是通过统计上、下两个索引比特流的十进制大小来选择稀疏变换模型,并结合逢小下转的分段稀疏变换思想进行稀疏矢量构造.所提自适应稀疏变换将把稀疏矢量的长度限定在一定范围内.仿真结果表明,当编码效率的提升在一定范围内,所提自适应稀疏变换可以构造出更短的稀疏矢量,这使得AD-SVC能够获得优于现有SVC的误块率(BLER)性能和传输时延性能.
Abstract
Sparse Vector Coding(SVC)is a promising transmission technology for short packet ultra-reliable and low-latency communications(URLLC).However,the current SVC based on combination sparse transformation does not have ideal transmission performance when encoding efficiency is high.In order to improve this situation,an adaptive sparse transformation-based SVC(A1D-SVC)scheme is proposed by utilizing the inherent correspondence between binary and decimal conversions of index bit streams.The proposed AD-SVC scheme selects a sparse transformation model by counting the difference between the current and the next index bit streams,and combines the idea of segmented sparse transformation with construction transfer when a small values of index bit stream appears to construct the sparse vectors.The proposed a-daptive sparse transformation limits the length of sparse vectors within a certain range.Simula-tion results show that when the encoding efficiency is in a constraint improved,the proposed a-daptive sparse transformation can construct shorter sparse vectors,which enables AD-SVC to a-chieve better block error rate(BLER)performance and transmission delay performance than ex-isting SVC schemes.
关键词
高可靠低时延通信/短包通信/稀疏矢量编码/稀疏变换Key words
Ultra-reliable and low-latency communications/short packet communications/Sparse vector coding/Sparse transformation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据