Linear MIMO Precoders Design for Finite Alphabet Inputs via Model-Free Training
Author:
Affiliation:
1. Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China,200240
2. School of Electrical Engineering and Telecommunications, University of New South Wales,Sydney,NSW,Australia,2052
Funder
National Key R&D Program of China
National Science Foundation (NSFC)
111 project
STCSM
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001528.pdf?arnumber=10001528
Reference13 articles.
1. Linear Precoding for MIMO Multiple Access Channels with Finite Discrete Inputs
2. ADAM: A method for stochastic optimization;kingma;Proc Int Conf Learn Representations,2014
3. Zero-Forcing Per-Group Precoding for Robust Optimized Downlink Massive MIMO Performance
4. Globally Optimal Linear Precoders for Finite Alphabet Signals Over Complex Vector Gaussian Channels
5. The MIMO Iterative Waterfilling Algorithm
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