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"

44 / 44 papers shown

Title
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Mohamad Abdul Hady Siyi Hu Mahardhika Pratama Jimmy Cao Ryszard Kowalczyk 26 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 51 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 159 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 46 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
Learning State-Augmented Policies for Information Routing in Communication Networks Sourajit Das Navid Naderializadeh Alejandro Ribeiro 28 2 0 30 Sep 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 10 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 34 399 0 01 Jun 2022
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning Marco Skocaj Lorenzo Mario Amorosa G. Ghinamo Giuliano Muratore Davide Micheli F. Zabini Roberto Verdone 21 13 0 22 Feb 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
Robust MIMO Detection using Hypernetworks with Learned Regularizers Nicolas Zilberstein C. Dick Rahman Doost-Mohammady A. Sabharwal Santiago Segarra 21 4 0 13 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 45 402 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 29 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 13 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