Deep learning ris antenna beamforming
WebApr 21, 2024 · Multi-Hop RIS-Empowered Terahertz Communications: A DRL-Based Hybrid Beamforming Design ... (BS) and multiple single-antenna users. We investigate the joint design of digital beamforming matrix at the BS and analog beamforming matrices at the RISs, by leveraging the recent advances in deep reinforcement learning (DRL) to … WebSmart multiple-input multiple-output (MIMO) antennas with advanced signal processing algorithms are necessary in future wireless networks, such as 6G and beyond, for …
Deep learning ris antenna beamforming
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WebOct 10, 2024 · This work presents a novel deep reinforcement learning (DRL) framework and shows that the introduced framework substantially outperforms the vanilla DRL agent under mismatch and approaches the golden standard. We investigate the joint transmit beamforming and reconfigurable intelligent surface (RIS) configuration problem to … WebJan 25, 2024 · MATLAB Deep Learning Toolbox: It provides a comprehensive set of tools for designing, ... It provides a set of tools for designing and simulating phased array …
WebApr 4, 2024 · A low-complexity deep learning (DL) based approach to design transmitter beamforming and IRS jointly, where the precoding vector and phase shift matrix are designed to minimize the secrecy outage probability is proposed. In this article, physical layer security (PLS) in an intelligent reflecting surface (IRS) assisted multiple-input …
WebOct 7, 2024 · This is the simulation code for the paper "Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning". This paper is published on IEEE Wireless Communication Letters. This paper is published on IEEE Wireless Communication Letters. feeney keating galwayWebNov 12, 2024 · In this paper, we consider a RIS-aided multiuser multiple-input single-output downlink communication system. We aim to maximize the weighted sum-rate of all users by joint optimizing the active beamforming at the access point and the passive beamforming vector of the RIS elements. Unlike most existing works, we consider the more practical ... feeney irelandWebAug 16, 2024 · A deep reinforcement learning (DRL)-based algorithm is explored to obtain the satisfactory solution by repeatedly interacting with and learning from the dynamic environment. Extensive simulation results illustrate that the DRL-based secure beamforming algorithm is proved to be significantly effective in improving the SSR. define out-group homogeneityWebIntelligent reflecting surface (IRS) is a promising technology to assist downlink information transmissions from a multi-antenna access point (AP) to a receiver. In this paper, we minimize the AP's transmit power by a joint optimization of the AP's active beamforming and the IRS's passive beamforming. Due to uncertain channel conditions, we formulate … define out-group in sociologyWebMar 19, 2024 · Run the file named DL_model_python.py to build, train, and test the deep learning model. This step requires Python 3.7, Keras, and Tensorflow. Run the file … feeneyism predestinateWebJan 8, 2024 · Deep Reinforcement Learning Based Beamforming Codebook Design for RIS-aided mmW av e Systems Asmaa Abdallah ⋆ , Abdulkadir Celik ⋆ , Mohammad M. Mansour ⋆⋆ , Ahmed M. Eltawil ⋆ define outlawedWebDeep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications. Abstract: Intelligent reflecting surface (IRS) is a promising … define out of a job