Sparse Hybrid Precoding for Power Minimization With an Adaptive Antenna Structure in Massive MIMO Systems
Author:
Affiliation:
1. Beijing Key Laboratory of Work Safety Intelligent Monitoring, BUPT, Beijing, China
2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
3. Department of ECE, HKUST, Hong Kong
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/9826559/09677966.pdf?arnumber=9677966
Reference37 articles.
1. A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems
2. Hybrid Precoding MmWave Massive MIMO Systems with Dynamic-Resolution DAC
3. Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?
4. Principal Component Analysis-Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems
5. Feasible direction methods for stochastic programming problems
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