ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.00784
  4. Cited By
Optimizing Wireless Systems Using Unsupervised and
  Reinforced-Unsupervised Deep Learning

Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning

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"

10 / 10 papers shown
Title
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
88
10
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 6G
Ruijin Sun
Nan Cheng
Changle Li
Fangjiong Chen
Wen Chen
46
35
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 Data
Dong Liu
Jiankang Zhang
Jingjing Cui
S. Ng
R. Maunder
L. Hanzo
37
29
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
42
11
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
121
5
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 Networks
Hoon Lee
Junbeom Kim
Seok-Hwan Park
51
13
0
21 Mar 2021
Cognitive Learning-Aided Multi-Antenna Communications
Cognitive Learning-Aided Multi-Antenna Communications
Ahmet M. Elbir
Kumar Vijay Mishra
89
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
87
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
53
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
25
1
0
29 Jan 2020
1