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The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement
  Learning

The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning

16 August 2021
Mateus P. Mota
Álvaro Valcarce
J. Gorce
J. Hoydis
ArXivPDFHTML

Papers citing "The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning"

16 / 16 papers shown
Title
Learning Power Control Protocol for In-Factory 6G Subnetworks
Learning Power Control Protocol for In-Factory 6G Subnetworks
Uyoata E. Uyoata
Gilberto Berardinelli
Ramoni O. Adeogun
21
0
0
09 May 2025
Interference-Aware Emergent Random Access Protocol for Downlink LEO
  Satellite Networks
Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks
Chang-Yong Lim
Jihong Park
Jinho D. Choi
Ju-Hyung Lee
Daesub Oh
H. Kim
8
0
0
04 Feb 2024
Emergent Communication Protocol Learning for Task Offloading in
  Industrial Internet of Things
Emergent Communication Protocol Learning for Task Offloading in Industrial Internet of Things
Salwa Mostafa
Mateus P. Mota
Álvaro Valcarce
M. Bennis
OffRL
13
3
0
23 Jan 2024
Towards Semantic Communication Protocols for 6G: From Protocol Learning
  to Language-Oriented Approaches
Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches
Jihong Park
Seung-Woo Ko
Jinho D. Choi
Seong-Lyun Kim
M. Bennis
31
7
0
14 Oct 2023
Task-Oriented Communication Design at Scale
Task-Oriented Communication Design at Scale
Arsham Mostaani
T. Vu
Hamed Habibi
Symeon Chatzinotas
Björn E. Ottersten
13
3
0
15 May 2023
Task-Effective Compression of Observations for the Centralized Control
  of a Multi-agent System Over Bit-Budgeted Channels
Task-Effective Compression of Observations for the Centralized Control of a Multi-agent System Over Bit-Budgeted Channels
Arsham Mostaani
T. Vu
Symeon Chatzinotas
Björn E. Ottersten
23
7
0
04 Jan 2023
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and
  Data Collection in Wireless Systems
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems
Clement Ruah
Osvaldo Simeone
Bashir M. Al-Hashimi
21
28
0
02 Dec 2022
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal
  Multiple Access Resource Allocation Using Buffer State Information
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information
Eike-Manuel Bansbach
Yigit Kiyak
Laurent Schmalen
17
0
0
31 Aug 2022
Fairness Based Energy-Efficient 3D Path Planning of a Portable Access
  Point: A Deep Reinforcement Learning Approach
Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach
N. Babu
I. Donevski
Álvaro Valcarce
P. Popovski
J. J. Nielsen
C. Papadias
11
12
0
10 Aug 2022
Towards Semantic Communication Protocols: A Probabilistic Logic
  Perspective
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
Sejin Seo
Jihong Park
Seung-Woo Ko
Jinho D. Choi
M. Bennis
Seong-Lyun Kim
22
22
0
08 Jul 2022
Learning-based Autonomous Channel Access in the Presence of Hidden
  Terminals
Learning-based Autonomous Channel Access in the Presence of Hidden Terminals
Yulin Shao
Yucheng Cai
Taotao Wang
Ziyang Guo
Peng Liu
Jiajun Luo
Deniz Gunduz
15
7
0
07 Jul 2022
Scalable Joint Learning of Wireless Multiple-Access Policies and their
  Signaling
Scalable Joint Learning of Wireless Multiple-Access Policies and their Signaling
Mateus P. Mota
Álvaro Valcarce
J. Gorce
14
6
0
08 Jun 2022
Learning Generalized Wireless MAC Communication Protocols via
  Abstraction
Learning Generalized Wireless MAC Communication Protocols via Abstraction
Luciano Miuccio
Salvatore Riolo
S. Samarakoon
D. Panno
M. Bennis
9
17
0
06 Jun 2022
Learning Emergent Random Access Protocol for LEO Satellite Networks
Learning Emergent Random Access Protocol for LEO Satellite Networks
Ju-Hyung Lee
Hyowoon Seo
Jihong Park
M. Bennis
Young-Chai Ko
14
17
0
03 Dec 2021
Task-oriented Communication Design in Cyber-Physical Systems: A Survey
  on Theory and Applications
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications
Arsham Mostaani
T. Vu
Shree Krishna Sharma
Van-Dinh Nguyen
Qi Liao
Symeon Chatzinotas
19
16
0
14 Feb 2021
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for
  Hybrid FSO/RF Non-Terrestrial Networks
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks
Ju-Hyung Lee
Jihong Park
M. Bennis
Young-Chai Ko
25
46
0
20 Oct 2020
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