Generalized Compute-Compress-and-Forward

doi:10.1109/TIT.2018.2864638

	Generalized Compute-Compress-and-Forward
	Hai Cheng1 ; Xiaojun Yuan 2; Yihua Tan 3
	2019-01
发表期刊	IEEE TRANSACTIONS ON INFORMATION THEORY
ISSN	0018-9448
卷号	65 期号:1 页码:462-481
发表状态	已发表
DOI	10.1109/TIT.2018.2864638
摘要	Compute-and-forward (CF) harnesses interference in wireless communications by exploiting structured coding. The key idea of CF is to compute integer combinations of code words from multiple source nodes, rather than to decode individual code words by treating others as noise. Compute-compress-and-forward (CCF) can further enhance the network performance by introducing compression operations at receivers. In this paper, we develop a more general compression framework, termed generalized CCF (GCCF), where the compression function involves the selection of message segments over finite fields. We show that GCCF achieves a broader compression rate region than CCF. We also compare our compression rate region with the fundamental Slepian-Wolf (SW) region. We show that GCCF is optimal in the sense of achieving the minimum total compression rate. We also establish the criteria under which GCCF achieves the SW region. In addition, we consider a two-hop relay network employing the GCCF scheme. We formulate a sum-rate maximization problem and develop an approximate algorithm to solve the problem. Numerical results are presented to demonstrate the performance superiority of GCCF over CCF and other schemes.
关键词	Compute-and-forward nested lattice codes compute-compress-and-forward distributed source coding
URL	查看原文
收录类别	SCI ; SCIE ; EI
语种	英语
资助项目	National Nature Science Foundation of China[61471241]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000454110800031
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS关键词	LATTICE CODES ; INTERFERENCE ; OPTIMIZATION ; CHANNEL ; WOLF
原始文献类型	Article
来源库	IEEE
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/30009
专题	信息科学与技术学院信息科学与技术学院_硕士生
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.National Key Laboratory of Science and Technology on Communication, Center for Intelligent Networking and Communications, University of Electronic Science and Technology of China, Chengdu, China 3.Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Hai Cheng,Xiaojun Yuan,Yihua Tan. Generalized Compute-Compress-and-Forward[J]. IEEE TRANSACTIONS ON INFORMATION THEORY,2019,65(1):462-481.
APA	Hai Cheng,Xiaojun Yuan,&Yihua Tan.(2019).Generalized Compute-Compress-and-Forward.IEEE TRANSACTIONS ON INFORMATION THEORY,65(1),462-481.
MLA	Hai Cheng,et al."Generalized Compute-Compress-and-Forward".IEEE TRANSACTIONS ON INFORMATION THEORY 65.1(2019):462-481.