Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems

Author:

Choi Jinseok1ORCID,Park Jeonghun2ORCID,Lee Namyoon3ORCID

Affiliation:

1. Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea

2. School of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu, South Korea

3. School of Electrical Engineering, Korea University, Seoul, South Korea

Funder

National Research Foundation of Korea (NRF) grant

Korea Government, Ministry of Science and ICT (MSIT), South Korea

MSIT under the Information Technology Research Center (ITRC) Support Program

Institute for Information and Communications Technology Planning and Evaluation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

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1. RSMA Precoding Optimization for MIMO Communications Under Coarse Quantization;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. NOMA-Enhanced Quantized Uplink Multi-user MIMO Communications;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

3. Rate-Splitting Multiple Access for Quantized Multiuser MIMO Communications;IEEE Transactions on Wireless Communications;2023-11

4. Sum Rate Maximization for Regularized Zero-Forcing Precoder in 1-Bit MIMO;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

5. Low-Resolution DACs Aided Partially-Connected Hybrid Precoding Design for MU-MISO System;IEEE Communications Letters;2023-10

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