no code implementations • 18 Apr 2024 • Conggang Hu, Yang Lu, Hongyang Du, Mi Yang, Bo Ai, Dusit Niyato
This paper investigates artificial intelligence (AI) empowered schemes for reconfigurable intelligent surface (RIS) assisted networks from the perspective of fast implementation.
no code implementations • 1 Mar 2024 • Zhengyu Zhang, Ruisi He, Bo Ai, Mi Yang, Yong Niu, Zhangdui Zhong, Yujian Li, Xuejian Zhang, Jing Li
However, some important features of ISAC channels have not been well characterized, for example, most existing ISAC channel models consider communication channels and sensing channels independently, whereas ignoring correlation under the consistent environment.
no code implementations • 1 Mar 2024 • Zhengyu Zhang, Ruisi He, Bo Ai, Mi Yang, Xuejian Zhang, Ziyi Qi, Yuan Yuan
Integrated sensing and communication (ISAC) is a promising technology for 6G, with the goal of providing end-to-end information processing and inherent perception capabilities for future communication systems.
no code implementations • 1 Mar 2024 • Zhengyu Zhang, Ruisi He, Mi Yang, Xuejian Zhang, Ziyi Qi, Yuan Yuan, Bo Ai
Recently, deep learning enabled semantic communications have been developed to understand transmission content from semantic level, which realize effective and accurate information transfer.
no code implementations • 1 Mar 2024 • Zhengyu Zhang, Ruisi He, Mi Yang, Xuejian Zhang, Ziyi Qi, Hang Mi, Guiqi Sun, Jingya Yang, Bo Ai
It is necessary to carry out measurement, characterization, and modeling for vehicular ISAC channels as the basic theoretical support for system design.
no code implementations • 7 Jul 2022 • Ruisi He, Bo Ai, Zhangdui Zhong, Mi Yang, Ruifeng Chen, Jianwen Ding, Zhangfeng Ma, Guiqi Sun, Changzhu Liu
It is thus necessary for railways to replace the current 2G-based technology with the next generation railway dedicated communication system with improved capacity and capability, and the 5G for railways (5G-R) technology is a promising solution for further intelligent railways.
no code implementations • 24 Nov 2021 • Chen Huang, Ruisi He, Bo Ai, Andreas F. Molisch, Buon Kiong Lau, Katsuyuki Haneda, Bo Liu, Cheng-Xiang Wang, Mi Yang, Claude Oestges, Zhangdui Zhong
This two-part paper investigates the application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels.
no code implementations • 24 Nov 2021 • Chen Huang, Ruisi He, Bo Ai, Andreas F. Molisch, Buon Kiong Lau, Katsuyuki Haneda, Bo Liu, Cheng-Xiang Wang, Mi Yang, Claude Oestges, Zhangdui Zhong
To provide higher data rates, as well as better coverage, cost efficiency, security, adaptability, and scalability, the 5G and beyond 5G networks are developed with various artificial intelligence techniques.
