Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

1 August 2018

Papers citing "Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks"

41 / 41 papers shown

Title
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Mohamad Abdul Hady Siyi Hu Mahardhika Pratama Jimmy Cao Ryszard Kowalczyk 24 0 0 29 Apr 2025
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management Eslam Eldeeb Hirley Alves OffRL 80 0 0 22 Jan 2025
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan Alexandros Agapitos David Lynch Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 46 0 0 30 Apr 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 147 1 0 04 Apr 2024
Multiple Access in the Era of Distributed Computing and Edge Intelligence Nikos G. Evgenidis Nikos A. Mitsiou Vasiliki I. Koutsioumpa Sotiris A. Tegos P. Diamantoulakis G. Karagiannidis 41 8 0 26 Feb 2024
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 23 1 0 08 Nov 2023
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation Swatantra Kafle Jithin Jagannath Zackary Kane Noor Biswas P. Kumar Anu Jagannath 23 1 0 04 Feb 2023
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet Kaidi Xu Nguyen Van Huynh Geoffrey Ye Li 8 11 0 15 Dec 2022
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems Ziad El Jamous Kemal Davaslioglu Y. Sagduyu 26 3 0 02 Nov 2022
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks Yiugit Berkay Uslu Navid Naderializadeh Mark Eisen Alejandro Riberio University of Pennsylvania 31 0 0 28 Oct 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 41 17 0 05 Jul 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Zeren Zhang Guangchong Zhou Hao Chen Guoliang Fan 24 14 0 06 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 399 0 01 Jun 2022
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks Boning Li Gunjan Verma Santiago Segarra 26 18 0 27 Jan 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 43 417 0 24 Nov 2021
Power Allocation for Wireless Federated Learning using Graph Neural Networks Boning Li A. Swami Santiago Segarra FedML 64 12 0 15 Nov 2021
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks Xiang Zhang Shamik Sarkar Arupjyoti Bhuyan S. Kasera Mingyue Ji 29 4 0 17 Oct 2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels Navid Naderializadeh 44 3 0 04 Oct 2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks Maxime Bouton Hasan Farooq Julien Forgeat Shruti Bothe Meral Shirazipour P. Karlsson 28 11 0 30 Sep 2021
Link Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 27 34 0 12 Sep 2021
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network Yan Shao Rongpeng Li Bing Hu Yingxiao Wu Zhifeng Zhao Honggang Zhang 36 46 0 11 Aug 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 42 402 0 05 Apr 2021
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks Apostolos Avranas Marios Kountouris P. Ciblat 24 7 0 27 Nov 2020
Deep Learning-based Resource Allocation For Device-to-Device Communication Woongsup Lee R. Schober 17 38 0 25 Nov 2020
Distributed Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 24 50 0 18 Nov 2020
Adaptive Contention Window Design using Deep Q-learning Abhishek Kumar Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra 16 34 0 18 Nov 2020
Learning to Beamform in Heterogeneous Massive MIMO Networks Minghe Zhu Tsung-Hui Chang Mingyi Hong 27 22 0 08 Nov 2020
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks Zhiyang Wang Mark Eisen Alejandro Ribeiro 16 18 0 05 Nov 2020
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks Yasar Sinan Nasir Dongning Guo 11 23 0 14 Sep 2020
Learning Power Control from a Fixed Batch of Data M. Khoshkholgh H. Yanikomeroglu OffRL 28 2 0 05 Aug 2020
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing Xiaolan Liu Jiadong Yu Yue Gao 26 87 0 05 Apr 2020
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning Yong Zeng Xiaoli Xu Shi Jin Rui Zhang 9 164 0 17 Mar 2020
Deep Reinforcement Learning for QoS-Constrained Resource Allocation in Multiservice Networks J. Saraiva I. M. Braga V. F. Monteiro F. Lima T. Maciel W. Freitas F. Cavalcanti 14 9 0 03 Mar 2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour 26 121 0 14 Feb 2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems Dionysios S. Kalogerias Mark Eisen George J. Pappas Alejandro Ribeiro 27 3 0 10 Nov 2019
Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation A. Tondwalkar Andres Kwasinski 15 4 0 29 Oct 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 30 194 0 07 Jul 2019
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour S. Talwar 8 9 0 20 Jun 2019
A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks K. I. Ahmed Ekram Hossain OffRL 11 35 0 30 Apr 2019
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 57 1,423 0 18 Oct 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 134 595 0 28 Feb 2017