Uniquely Decomposable Constellation Group-based Sparse Vector Coding for Short Packet Communications

被引:0
|
作者
Qin, Ganyu [1 ]
Chen, Hongyang [2 ]
Zhang, Xuewan [1 ]
Sato, Takuro [3 ]
Zhang, Di [1 ]
机构
[1] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
[2] Res Ctr Intelligent Network, Zhejiang Lab, Hangzhou 311121, Peoples R China
[3] Waseda Univ, Sch Fundamental Sci & Engn, Tokyo 1698555, Japan
关键词
sparse vector coding; uniquely decomposable constellation group; minimum Euclidean distance; block error rate; constellation rotation;
D O I
10.1109/VTC2021-FALL52928.2021.9625244
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Sparse vector coding (SVC) is emerging as a feasible solution for short packet transmission, which can provide better reliability and lower latency. In this article, a uniquely decomposable constellation group (UDCG)-based SVC called UDCG-SVC is proposed. The important idea of UDCG-SVC is to map the bits into the nonzero elements of the sparse vector by using the sub-constellations in the UDCG. After random spreading, the resource blocks carry the unique decomposable superimposed constellations, which ensures that the minimum Euclidean distance (MED) of the superimposed constellation is large. This results in an improved block error rate (BLER) performance of SVC. Numerical results demonstrate the advanced BLER simulation of UDCG-SVC, and the proposed UDCG-SVC scheme is better than constellation rotation-based SVC (CR-SVC) scheme.
引用
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页数:5
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