Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations

被引：10
作者：
Zhang, Chuan [1 ,2 ,3 ]
Ueng, Yeong-Luh [4 ]
Studer, Christoph [5 ]
Burg, Andreas [6 ]
机构：
[1] Southeast Univ, Lab Efficient Architectures Digital Commun & Sign, Nanjing 211189, Jiangsu, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211189, Jiangsu, Peoples R China
[3] Purple Mt Labs, Nanjing 211189, Jiangsu, Peoples R China
[4] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan
[5] Swiss Fed Inst Technol, Dept Informat Technol & Elect Engn, CH-8029 Zurich, Switzerland
[6] Ecole Polytech Fed Lausanne EPFL, Telecommun Circuits Lab, CH-1015 Lausanne, Switzerland
来源：
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS | 2020年 / 10卷 / 02期
基金：
国家重点研发计划;
关键词：
Artificial intelligence; baseband processing; channel coding; detection and precoding; fifth-generation (5G) and beyond 5G (B5G); localization; model uncertainties;
D O I：
10.1109/JETCAS.2020.2999944
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：
This Special Issue of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) is dedicated to demonstrating the latest research progress on artificial intelligence for 5G and beyond 5G (B5G) with respect to implementations, algorithms, and optimizations.
引用
收藏
页码：145 / 148
页数：4
相关论文
共 128 条
[1]  
Alam M, 2017, IEEE ICC
[2]  
[Anonymous], S ART INT FUT WIR CO
[3]  
[Anonymous], SPEC ISS COMP DEEP N
[4]  
[Anonymous], NONORTHOGONAL MULTIU
[5]  
[Anonymous], WORKSH MACH LEARN WI
[6]  
[Anonymous], MACH LEARN COMM EM T
[7]  
[Anonymous], 2012, Theory of Computing, DOI [10.4086/toc.2012.v008a014, DOI 10.4086/TOC.2012.V008A014]
[8]  
[Anonymous], 2017, 38913 TR 3GPP
[9]  
[Anonymous], ARXIV191200831
[10]  
[Anonymous], 2017, 87 3GPP TSG RAN WG1
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