Low-Resolution DACs Aided Partially-Connected Hybrid Precoding Design for MU-MISO System
Author:
Affiliation:
1. Beijing Laboratory of Advanced Information Network, Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Natural Science Foundation of China
Beijing Natural Science Foundation
Project of China Railway Corporation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/10275739/10210111.pdf?arnumber=10210111
Reference13 articles.
1. Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems
2. Optimal transmitter beamforming with per-antenna power constraints
3. On the optimization of ADC resolution in multi-antenna systems;bai;Proc Int Symp on Wireless Commun Syst (ISWCS),2013
4. Energy Efficiency of mmWave Massive MIMO Precoding With Low-Resolution DACs
5. Hybrid RF and Digital Beamformer for Cellular Networks: Algorithms, Microwave Architectures, and Measurements
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1. A Hybrid Precoding Design Based on Alternate Minimization;2023 3rd International Conference on Intelligent Communications and Computing (ICC);2023-11-24
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