Manifold Learning Inspired Dynamic Hybrid Precoding With Antenna Partitioning Algorithm for Dual-Hop Hybrid FSO-RF Systems
Author:
Affiliation:
1. College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China
Funder
Shanghai Capacity Building Projects in Local Institutions
Shanghai Sailing Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09928290.pdf?arnumber=9928290
Reference51 articles.
1. Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
2. Spatially Sparse Precoding in Millimeter Wave MIMO Systems
3. Hybrid analog-digital transceiver designs for cognitive radio millimiter wave systems
4. Hybrid Analog-Digital Transceiver Designs for mmWave Amplify-and-Forward Relaying Systems
5. An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
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1. Tensor-Train Decomposition-Based Hybrid Beamforming for Millimeter-Wave Massive Multiple-Input Multiple-Output/Free-Space Optics in Unmanned Aerial Vehicles with Reconfigurable Intelligent Surface Networks;Photonics;2023-10-24
2. Hybrid Precoding Design in MmWave MIMO Systems Using Manifold Learning-Based Extreme Learning Machine Framework;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20
3. Tensor-Based Joint Beamforming with Ultrasonic and RIS-Assisted Dual-Hop Hybrid FSO mmWave Massive MIMO of V2X;Photonics;2023-07-28
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