Performance evaluation of DHRR-RIS based HP design using machine learning algorithms-Reference-Cited by-同舟云学术

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Performance evaluation of DHRR-RIS based HP design using machine learning algorithms

Published:2023-09 Issue:3 Volume:4 Page:237-260
ISSN:2708-6240
Container-title:Intelligent and Converged Networks
language:
Short-container-title:Intell. and Converged Netw.

Author:

N G Girish Kumar¹,M N Sree Ranga Raju²

Affiliation:

1. Bangalore Institute of Technology, Visvesvaraya Technological University,Department of Electronics and Telecommunication Engineering,Bangalore,India,560004

2. Bangalore Institute of Technology, Visvesvaraya Technological University,Department of Electronics and communication Engineering,Bangalore,India,560004

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/9195266/10286548/10286533.pdf?arnumber=10286533

Reference40 articles.

1. Joint transmit and reflective beamforming for RIS-assisted secret key generation;hu;Proc 2022 IEEE Global Communications Conf (GLOBECOM),2023

2. Spatial Wideband Channel Estimation for mmWave Massive MIMO Systems With Hybrid Architectures and Low-Resolution ADCs

3. Demo: Low-power Communications Based on RIS and AI for 6G

4. Channel Estimation and Hybrid Precoding for Millimeter Wave Communications: A Deep Learning-Based Approach

5. User-side RIS: Realizing large-scale array at user side;liu;Proc 2021 IEEE Global Communications Conference (GLOBECOM),2022

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