Results 131 to 140 of about 22,605 (267)
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Reconfigurable Intelligent Surfaces (RIS) offer a promising solution to enhance wireless communication performance, particularly for 6G networks. This paper proposes a unified joint optimization framework to enhance spectral efficiency in reconfigurable ...
Mohammed Adil Abbas +3 more
doaj +1 more source
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
In order to solve the problems of large energy consumption, and poor performance gain of RIS in the traditional reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) system, the sub-connected active reconfigurable ...
WU Xiangkai +4 more
doaj
Joint Estimation for Time Delay and Direction of Arrival in Reconfigurable Intelligent Surface with OFDM. [PDF]
Du J, Cui W, Ba B, Jian C, Zhang L.
europepmc +1 more source
Selected Topics on Reconfigurable Intelligent Surfaces
Reconfigurable intelligent surface (RIS) is a promising technology for wireless communications applications. A RIS is a thin planar array that consists of multiple reflecting elements, each of which is connected to a tunable chip and can induce a controllable reflection coefficient to the incident signal.
openaire +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Low-Complexity Beamforming Design for a Cooperative Reconfigurable Intelligent Surface-Aided Cell-Free Network. [PDF]
Siddiqi MZ +6 more
europepmc +1 more source
Recent Advances in Programmable Metasurfaces and Meta‐Devices
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao +4 more
wiley +1 more source
In‐Sensor Computing by Soft Threshold Logic Gates Under Different Humidity Conditions
Soft nanocomposite materials, based on gold cluster‐assembled thin films implanted in polydimethylsiloxane substrate, can perform reliable processing in ambient environmental conditions. Humidity influences the resistive switching and computational capabilities of the nanocomposites, that can be used as multifunctional material combining sensing ...
Giacomo Nadalini +2 more
wiley +1 more source

