ResearchTrend.AI
Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks

Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks

Daesung Yu
Hoon Lee
Seok-Hwan Park
Seung‐Eun Hong
ArXiv (abs)PDFHTML

Papers citing "Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks"

2 / 2 papers shown
Title
Deep Learning Methods for Universal MISO Beamforming
Deep Learning Methods for Universal MISO Beamforming
Junbeom Kim
Hoon Lee
Seung‐Eun Hong
Seok-Hwan Park
38
54
0
02 Jul 2020
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning
Dong Liu
Chengjian Sun
Chenyang Yang
L. Hanzo
37
35
0
03 Jan 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.