20 results for “Understanding of Reconfigurable Intelligent Surface (RIS)”
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Mengting Li, Hui Chen, Sigurd S. Petersen, Alireza Pourafzal +4 more
This paper proposes a framework for on-site calibration of Reconfigurable Intelligent Surface (RIS) beam response models to reduce positioning error floor.
This paper proposes a method for improving spectrum sensing in cognitive radio networks using reconfigurable intelligent surfaces (RIS) and generalised likelihood ratio test (GLRT) and energy detector…
Maoxin Ji, Qiong Wu, Jingbo Zhang, Pingyi Fan +4 more
This paper proposes a Row-Movable Active Reconfigurable Intelligent Surface (RM-A-RIS) system for vehicular semantic communication, enhancing spatial diversity and improving Sum-Semantic Spectral Effi…
Yizhe Zhao, Long Zhang, Halvin Yang, Kun Yang +3 more
This paper presents a comprehensive survey on reconfigurable antennas for next-generation mobile networks, focusing on their potential and applications.
Junyi Yang, Shuai Dong, Zhengnan Fu, Hongyang Shang +1 more
The paper proposes a highly reconfigurable 256x128 in-memory computing array that significantly improves efficiency and performance for analog computing by introducing novel components for ADC, weight…
This paper proposes a hybrid TRP-UE sensing mechanism for Integrated Sensing and Communication (ISAC) systems to improve network-based sensing performance in challenging indoor factory environments.
This paper analyzes the secret key rate of RIS-assisted THz MIMO CV-QKD systems under various eavesdropping scenarios, demonstrating that the RIS significantly enhances secure communication range and…
This paper proposes an unmanned aerial vehicle (UAV) communication system assisted by stacked intelligent metasurfaces (SIMs) for energy-efficient hybrid beamforming and maximizes sum-rate for multi-u…
SangHoon Cha, Jaewan Choi, Byeongho Kim, Yoonah Paik +2 more
This paper introduces a high-fidelity, integrated hardware-software simulator for LPDDR5X-PIM, enabling precise evaluation of system performance and energy efficiency.
Zehra Karadağ, René Walendy, Carina Wiesen, Christof Paar +2 more
This paper details the design and evolution of a Hardware Reverse Engineering (HRE) course, providing key lessons for educators teaching rapidly changing technical domains.
This paper presents two loop cache architectures for RISC-V processors to reduce instruction fetches and energy consumption during AI inference.
Weixing Liu, Zizhen Liu, Jing Ye, Naixing Wang +3 more
FT-Pilot is a novel GNN-guided LLM framework that automatically rewrites RTL code to harden digital circuits against soft errors, providing an efficient, automated path for reliability optimization.
Zehra Karadağ, Simon Klix, René Walendy, Felix Hahn +4 more
This paper systematizes two decades of hardware reverse engineering research by analyzing 187 publications, identifying key technical methods and recommending improvements for reproducibility, standar…
The vulnerability of LLM agents to prompt injection depends not on the specific channel (tool output vs. tool description) but on the interaction between the model and the surface.
The vulnerability of LLM agents to prompt injection depends not on the specific channel (tool output vs. tool description) but on the interaction between the model and the surface itself.
This paper evaluates the security of Universal Circuits (UCs) for hardware obfuscation, demonstrating that they are effective against both oracle-guided and oracle-less attacks.