Integrated communication and localization in millimeter-wave systems

被引:11
作者
Yang, Jie [1 ]
Xu, Jing [1 ]
Li, Xiao [1 ]
Jin, Shi [1 ]
Gao, Bo [2 ,3 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] ZTE Corp, Shenzhen 518001, Peoples R China
[3] State Key Lab Mobile Network & Mobile Multimedia, Shenzhen 518001, Peoples R China
基金
中国国家自然科学基金;
关键词
Millimeter-wave; Integrated communication and localization; Location-assisted communication; Extremely large antenna array; Reconfigurable intelligent surface; Artificial intelligence; Neural networks; TN928; MASSIVE MIMO; WIRELESS COMMUNICATIONS; INDOOR LOCALIZATION; TARGET LOCALIZATION; 5G; OPPORTUNITIES; RADIO; CHALLENGES; SIGNALS; ROBUST;
D O I
10.1631/FITEE.2000505
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As the fifth-generation (5G) mobile communication system is being commercialized, extensive studies on the evolution of 5G and sixth-generation (6G) mobile communication systems have been conducted. Future mobile communication systems are evidently evolving toward a more intelligent and software-reconfigurable functionality paradigm that can provide ubiquitous communication, as well as sense, control, and optimize wireless environments. Thus, integrating communication and localization using the highly directional transmission characteristics of millimeter waves (mmWaves) is a promising route. This approach not only expands the localization capabilities of a communication system but also provides new concepts and opportunities to enhance communication. In this paper, we explain the integrated communication and localization in mmWave systems, in which these processes share the same set of hardware architecture and algorithms. We also provide an overview of the key enabling technologies and the basic knowledge on localization. Then, we provide two promising directions for studies on localization with an extremely large antenna array and model-based (or model-driven) neural networks. We also discuss a comprehensive guidance for location-assisted mmWave communications in terms of channel estimation, channel state information feedback, beam tracking, synchronization, interference control, resource allocation, and user selection. Finally, we outline the future trends on the mutual assistance and enhancement of communication and localization in integrated systems.
引用
收藏
页码:457 / 470
页数:14
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