Reconfigurable Intelligent Surface-aided -ary FM-DCSK System: A New Design for Noncoherent Chaos-based Communication

H Ma, Y Fang, P Chen, Y Li - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In this paper, we propose two reconfigurable intelligent surface-aided-ary frequency-
modulated differential chaos shift keying (RIS--FM-DCSK) schemes. In scheme I, the RIS is …

[HTML][HTML] 面向高铁毫米波通信智能资源管理研究综述

闫莉, 方旭明, 李毅, 薛青 - 电子与信息学报, 2023 - jeit.ac.cn
为满足高速铁路智能化发展对铁路移动通信系统提出的新需求, 基于第5 代(5G)
无线通信技术的高铁移动网络将采用宽带毫米波频段以提高传输容量. 基于此 …

RIS-Assisted Physical Layer Security in Emerging RF and Optical Wireless Communication Systems: A Comprehensive Survey

MH Khoshafa, O Maraqa, JM Moualeu… - arXiv preprint arXiv …, 2024 - arxiv.org
Physical layer security (PLS) has received a growing interest from the research community
for its ability to safeguard data confidentiality without relying on key distribution or …

Towards interference suppression: RIS-aided high-speed railway networks via deep reinforcement learning

J Xu, B Ai, TQS Quek - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Providing satisfactory quality of service (QoS) in high-speed railway (HSR) network is being
strangled by external interference as well as jamming. To address this issue, we study the …

RIS-assisted scheduling for high-speed railway secure communications

P Li, Y Niu, H Wu, Z Han, B Ai, N Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of high-speed railway systems and railway wireless
communication, the application of ultra-wideband millimeter wave band is an inevitable …

Deep reinforcement learning for interference suppression in RIS-aided high-speed railway networks

J Xu, B Ai, TQS Quek, Y Liuc - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This paper investigates the reconfigurable intelligent surface (RIS)-aided high-speed railway
(HSR) network, where one RIS is deployed nearby the onboard mobile relay (MR) to …

IRS assisted high-speed train communications: Performance analysis and optimal configuration

M Gao, B Ai, Y Niu, Q Li, Z Han, Z Zhong… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
High-speed train (HST) communications are envisioned to provide diversified broadband
services by integrating with 5G while the high mobility induces fast-fading channels and …

Intelligent reflecting surface-assisted interference mitigation with deep reinforcement learning for radio astronomy

J Peng, H Cao, Z Ali, X Wu, J Fan - IEEE antennas and wireless …, 2022 - ieeexplore.ieee.org
Radio frequency interference (RFI) is a significant threat to astronomical observations. Thus,
this letter exploits the intelligent reflecting surfaces (IRSs) to mitigate RFI by adjusting the …

RIS-aided proactive mobile network downlink interference suppression: A deep reinforcement learning approach

Y Wang, M Sun, Q Cui, KC Chen, Y Liao - Sensors, 2023 - mdpi.com
A proactive mobile network (PMN) is a novel architecture enabling extremely low-latency
communication. This architecture employs an open-loop transmission mode that prohibits all …

Analysis of LTE-M Adjacent Channel Interference in Rail Transit

H Fu, X Wang, X Zhang, A Saleem, G Zheng - Sensors, 2022 - mdpi.com
Long Term Evolution-Metro (LTE-M), as a special communication system for train control,
has strict requirements on adjacent channel interference (ACI). According to the 3rd …