Learning-Based Adaptive IRS Control With Limited Feedback Codebooks-Reference-Cited by-同舟云学术

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Learning-Based Adaptive IRS Control With Limited Feedback Codebooks

Published:2022-11 Issue:11 Volume:21 Page:9566-9581
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Kim Junghoon¹^ORCID,Hosseinalipour Seyyedali¹^ORCID,Marcum Andrew C.²^ORCID,Kim Taejoon³^ORCID,Love David J.¹^ORCID,Brinton Christopher G.¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

2. Raytheon BBN Technologies, Cambridge, MA, USA

3. Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, KS, USA

Funder

National Spectrum Consortium

Office of Naval Research

NSF

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

https://ieeexplore.ieee.org/ielam/7693/9944944/9787338-aam.pdf

Reference48 articles.

1. Grassmannian beamforming for multiple-input multiple-output wireless systems

2. Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach

3. Fundamentals of Wireless Communication

4. Surrogate-Based Modeling and Optimization

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4. Joint Direct and Indirect Channel Estimation for RIS-Assisted Millimeter-Wave Systems Based on Array Signal Processing;IEEE Transactions on Wireless Communications;2023-11

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