A novel low complexity lattice reduction algorithm for MIMO detection
Tang, Jie1,2,3; Bian, Xin1,4
2019-11
Source PublicationCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
ISSN1386-7857
Volume22Issue:SUPPL 6Pages:13995-14001
Status已发表
DOI10.1007/s10586-018-2167-2
AbstractA new low complexity lattice reduction algorithm was proposed, namely, the sorted integer Gauss transformation (SIGT). The SIGT algorithm can be interpreted as minimizing the longest basis vector first and assure that there was no integer projection between any two basis vectors. By applying simulation over Rayleigh fading channels, it was demonstrated that the proposed SIGT algorithm can have almost the same bit error rate (BER) performance as the LLL algorithm, while the SIGT algorithm requires only about half iteration as the LLL algorithm and the running time of each iteration for both algorithms were similar to each other. It is concluded that the SIGT algorithm can achieve almost the bit error rate (BER) performance, while the SIGT requires fewer iterations than the LLL.
KeywordLattice reduction Sorted Integer gauss trans-formation MIMO detection
Indexed BySCI
Language英语
Funding ProjectScience and Technology Commission of Shanghai Municipality[16511104204]
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000502241900095
PublisherSPRINGER
EISSN1573-7543
Original Document TypeArticle
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://kms.shanghaitech.edu.cn/handle/2MSLDSTB/104991
Collection信息科学与技术学院_博士生
Corresponding AuthorTang, Jie
Affiliation1.Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.ShanghaiTech Univ, Shanghai, Peoples R China
4.Nanjing Univ Posts & Telecommun, Nanjing, Jiangsu, Peoples R China
First Author AffilicationShanghaiTech University
Corresponding Author AffilicationShanghaiTech University
Recommended Citation
GB/T 7714
Tang, Jie,Bian, Xin. A novel low complexity lattice reduction algorithm for MIMO detection[J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS,2019,22(SUPPL 6):13995-14001.
APA Tang, Jie,&Bian, Xin.(2019).A novel low complexity lattice reduction algorithm for MIMO detection.CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS,22(SUPPL 6),13995-14001.
MLA Tang, Jie,et al."A novel low complexity lattice reduction algorithm for MIMO detection".CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 22.SUPPL 6(2019):13995-14001.
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