Search Results for author: Ruisi He

Found 8 papers, 0 papers with code

A Cluster-Based Statistical Channel Model for Integrated Sensing and Communication Channels

no code implementations1 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.

Channel Measurements and Modeling for Dynamic Vehicular ISAC Scenarios at 28 GHz

no code implementations1 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.

Characterization of Wireless Channel Semantics: A New Paradigm

no code implementations1 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.

Non-stationarity Characteristics in Dynamic Vehicular ISAC Channels at 28 GHz

no code implementations1 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.

5G for Railways: the Next Generation Railway Dedicated Communications

no code implementations7 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.

Artificial intelligence enabled radio propagation for communications-Part II: Scenario identification and channel modeling

no code implementations24 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.

Artificial intelligence enabled radio propagation for communications-Part I: Channel characterization and antenna-channel optimization

no code implementations24 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.

RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density

no code implementations2 Nov 2016 Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuangz, Ruisi He

Furthermore, we discover that the number of clusters computed by RECOME is a step function of the $\alpha$ parameter with jump discontinuity on a small collection of values.

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