Two-Timescale Beamforming for IRS-Assisted Millimeter Wave Systems: A Deep Unrolling-Based Stochastic Optimization Approach
Author:
Affiliation:
1. University of Electronic Science and Technology of China
2. Stevens Institute of Technology
Funder
National Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9827704/9827708/09827889.pdf?arnumber=9827889
Reference18 articles.
1. Spatially sparse precoding in millimeter wave MIMO systems;ayach;IEEE Trans Wireless Commun,2014
2. The Comparative Study of S-V Model Between 3.5 and 28 GHz in Indoor and Outdoor Scenarios
3. Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems
4. Joint Spatial Division and Multiplexing for mm-Wave Channels
5. Fractional Programming for Communication Systems—Part I: Power Control and Beamforming
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1. Two-Timescale Design for Simultaneous Transmitting and Reflecting RIS-Assisted Massive MIMO Systems With Imperfect CSI;IEEE Transactions on Communications;2024-07
2. Two-Timescale Design for RIS-Aided Multicell MIMO Systems with Transceiver Hardware Impairments;Electronics;2024-02-09
3. Twin-Timescale Beamforming for IRS-Assisted Millimeter Wave Massive MIMO-OFDM Systems;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
4. IRS-Aided JSDM for mmWave Multiuser MISO Systems: A Low Overhead Scheme;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10
5. Spatial Channel Covariance Estimation and Two-Timescale Beamforming for IRS-Assisted Millimeter Wave Systems;IEEE Transactions on Wireless Communications;2023-09
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