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Optimizing Wireless Systems Using Unsupervised and
  Reinforced-Unsupervised Deep Learning

Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning

IEEE Network (IEEE Netw.), 2020
3 January 2020
Dong Liu
Chengjian Sun
Chenyang Yang
L. Hanzo
ArXiv (abs)PDFHTML

Papers citing "Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning"

11 / 11 papers shown
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and OpportunitiesIEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2025
Murat Temiz
Y. Zhang
Y. Fu
Chi Zhang
Chenfeng Meng
Orhan Kaplan
Christos Masouros
191
12
0
23 Aug 2025
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A
  Model-Based Reinforcement Learning Approach
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
Yuxuan Chen
Rongpeng Li
Xiaoxue Yu
Zhifeng Zhao
Honggang Zhang
456
23
0
03 Jun 2024
Knowledge-Driven Deep Learning Paradigms for Wireless Network
  Optimization in 6G
Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6GIEEE Network (IEEE Netw.), 2024
Ruijin Sun
Nan Cheng
Changle Li
Fangjiong Chen
Wen Chen
155
66
0
15 Jan 2024
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks
  Relying on Real Satellite, Flight, and Shipping Data
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping DataIEEE wireless communications (WC), 2021
Dong Liu
Jiankang Zhang
Jingjing Cui
S. Ng
R. Maunder
L. Hanzo
138
34
0
28 Oct 2021
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
152
14
0
06 Jul 2021
Learning Autonomy in Management of Wireless Random Networks
Learning Autonomy in Management of Wireless Random Networks
Hoon Lee
Sang Hyun Lee
Tony Q.S. Quek
349
7
0
15 Jun 2021
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog
  Radio Access Networks
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access NetworksIEEE Transactions on Wireless Communications (IEEE TWC), 2021
Hoon Lee
Junbeom Kim
Seok-Hwan Park
221
18
0
21 Mar 2021
Cognitive Learning-Aided Multi-Antenna Communications
Cognitive Learning-Aided Multi-Antenna Communications
Ahmet M. Elbir
Kumar Vijay Mishra
344
8
0
07 Oct 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G:
  Integrating Domain Knowledge into Deep Learning
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She
Chengjian Sun
Zhouyou Gu
Yonghui Li
Chenyang Yang
H. Vincent Poor
Branka Vucetic
353
17
0
13 Sep 2020
Unsupervised Deep Learning for Optimizing Wireless Systems with
  Instantaneous and Statistic Constraints
Unsupervised Deep Learning for Optimizing Wireless Systems with Instantaneous and Statistic Constraints
Chengjian Sun
Changyang She
Chenyang Yang
242
0
0
30 May 2020
Constructing Deep Neural Networks with a Priori Knowledge of Wireless
  Tasks
Constructing Deep Neural Networks with a Priori Knowledge of Wireless Tasks
Jia Guo
Chenyang Yang
SSL
150
2
0
29 Jan 2020
1
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