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Application of Machine Learning in Wireless Networks: Key Techniques and
  Open Issues

Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues

24 September 2018
Yaohua Sun
M. Peng
Yangcheng Zhou
Yuzhe Huang
S. Mao
ArXivPDFHTML

Papers citing "Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues"

22 / 22 papers shown
Title
Deep Learning Based Uplink Multi-User SIMO Beamforming Design
Deep Learning Based Uplink Multi-User SIMO Beamforming Design
Cemil Vahapoglu
Tim O'Shea
Tamoghna Roy
S. Ulukus
26
7
0
28 Sep 2023
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs
  Using Reinforcement Learning
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning
Yousef AlSaqabi
Bhaskar Krishnamachari
28
2
0
21 Sep 2023
Distilling Knowledge from Resource Management Algorithms to Neural
  Networks: A Unified Training Assistance Approach
Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach
Longfei Ma
Nan Cheng
Xiucheng Wang
Zhisheng Yin
Haibo Zhou
Wei Quan
25
2
0
15 Aug 2023
ML-based Approaches for Wireless NLOS Localization: Input
  Representations and Uncertainty Estimation
ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation
R. Darbinyan
Hrant Khachatrian
Rafayel Mkrtchyan
Theofanis P. Raptis
UQCV
27
7
0
22 Apr 2023
Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled
  Mobile Communications
Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications
D. Rizvi
David P. Boyle
21
4
0
29 Mar 2023
Evolution of MAC Protocols in the Machine Learning Decade: A
  Comprehensive Survey
Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey
Mostafa Hussien
I. Taj-Eddin
Mohammed F. A. Ahmed
Ali Ranjha
K. Nguyen
M. Cheriet
AI4TS
12
8
0
24 Jan 2023
ColO-RAN: Developing Machine Learning-based xApps for Open RAN
  Closed-loop Control on Programmable Experimental Platforms
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
Michele Polese
Leonardo Bonati
Salvatore D’oro
S. Basagni
Tommaso Melodia
29
148
0
17 Dec 2021
A Distributed Deep Reinforcement Learning Technique for Application
  Placement in Edge and Fog Computing Environments
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
OffRL
35
85
0
24 Oct 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A
  Hierarchical Nested Personalized Federated Learning Approach
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
Su Wang
Seyyedali Hosseinalipour
M. Gorlatova
Christopher G. Brinton
M. Chiang
38
36
0
29 Jun 2021
Active Learning for Network Traffic Classification: A Technical Study
Active Learning for Network Traffic Classification: A Technical Study
A. Shahraki
Mahmoud Abbasi
Amirhosein Taherkordi
A. Jurcut
22
42
0
13 Jun 2021
AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via
  Multi-Agent Multi-Task Reinforcement Learning
AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning
Mohammad Parvini
M. Javan
Nader Mokari
B. Abbasi
Eduard Axel Jorswieck
OffRL
34
55
0
10 May 2021
Distributed Machine Learning for Wireless Communication Networks:
  Techniques, Architectures, and Applications
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
Shuyan Hu
Xiaojing Chen
Wei Ni
E. Hossain
Xin Wang
AI4CE
47
111
0
02 Dec 2020
Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for
  Cellular Offloading
Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading
Ruikang Zhong
Xiao-Yang Liu
Yuanwei Liu
Yue Chen
36
47
0
18 Oct 2020
NOMA in UAV-aided cellular offloading: A machine learning approach
NOMA in UAV-aided cellular offloading: A machine learning approach
Ruikang Zhong
Xiao-Yang Liu
Yuanwei Liu
Yue Chen
16
5
0
18 Oct 2020
Information Freshness-Aware Task Offloading in Air-Ground Integrated
  Edge Computing Systems
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
Xianfu Chen
Celimuge Wu
Tao Chen
Zhi Liu
Honggang Zhang
M. Bennis
Hang Liu
Yusheng Ji
11
68
0
15 Jul 2020
Computation Offloading in Beyond 5G Networks: A Distributed Learning
  Framework and Applications
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications
Xianfu Chen
Celimuge Wu
Zhi Liu
Ning Zhang
Yusheng Ji
OffRL
10
97
0
15 Jul 2020
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi
  Coexistence Scenarios
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios
Adam Dziedzic
V. Sathya
M. I. Rochman
M. Ghosh
S. Krishnan
24
19
0
18 Mar 2020
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G
  Networks
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
Changyang She
Rui Dong
Zhouyou Gu
Zhanwei Hou
Yonghui Li
Wibowo Hardjawana
Chenyang Yang
Lingyang Song
B. Vucetic
AI4TS
19
104
0
22 Feb 2020
Energy Efficient Federated Learning Over Wireless Communication Networks
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang
Mingzhe Chen
Walid Saad
Choong Seon Hong
M. Shikh-Bahaei
30
681
0
06 Nov 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
74
605
0
02 Sep 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals,
  Technology Integration, and State-of-the-Art
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Viet Quoc Pham
Fang Fang
H. Vu
Md. Jalil Piran
Mai Le
L. Le
W. Hwang
Z. Ding
23
596
0
20 Jun 2019
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,171
0
02 Feb 2017
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