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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"

50 / 53 papers shown

Title
Joint User Priority and Power Scheduling for QoS-Aware WMMSE Precoding: A Constrained-Actor Attentive-Critic Approach Kexuan Wang An Liu 12 0 0 19 Jun 2025
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management Eslam Eldeeb Hirley Alves OffRL 125 0 0 22 Jan 2025
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning Wenjun Zhang Qiong Wu Pingyi Fan Kezhi Wang Nan Cheng Wen Chen Khaled B. Letaief 83 2 0 07 Nov 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 414 1 0 04 Apr 2024
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins Eslam Eldeeb Houssem Sifaou Osvaldo Simeone M. Shehab Hirley Alves OffRL 113 4 0 13 Feb 2024
Machine Learning for Large-Scale Optimization in 6G Wireless Networks Yandong Shi Lixiang Lian Yuanming Shi Zixin Wang Yong Zhou Liqun Fu Lin Bai Jun Zhang Wei Zhang AI4CE 148 84 0 03 Jan 2023
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet Kaidi Xu Nguyen Van Huynh Geoffrey Ye Li 27 11 0 15 Dec 2022
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems Ziad El Jamous Kemal Davaslioglu Y. Sagduyu 54 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 120 0 0 28 Oct 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 79 19 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 91 15 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 105 416 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 28 14 0 22 Feb 2022
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks Peyman Tehrani Francesco Restuccia Marco Levorato OffRL 78 32 0 07 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 99 435 0 24 Nov 2021
Power Allocation for Wireless Federated Learning using Graph Neural Networks Boning Li A. Swami Santiago Segarra FedML 95 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 55 4 0 17 Oct 2021
Robust MIMO Detection using Hypernetworks with Learned Regularizers Nicolas Zilberstein C. Dick Rahman Doost-Mohammady A. Sabharwal Santiago Segarra 67 4 0 13 Oct 2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels Navid Naderializadeh 94 4 0 04 Oct 2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks Maxime Bouton Hasan Farooq Julien Forgeat Shruti Bothe Meral Shirazipour P. Karlsson 73 12 0 30 Sep 2021
Deep Reinforcement Learning Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications Zhaoyuan Shi Xianzhong Xie Huabing Lu Helin Yang Jun Cai Z. Ding 40 38 0 17 Sep 2021
Link Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 82 36 0 12 Sep 2021
Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration Hassaan Hashmi Dionysios S. Kalogerias 41 2 0 23 Aug 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 67 48 0 11 Aug 2021
Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control Feng Wang M. C. Gursoy Senem Velipasalar AAML 53 12 0 12 May 2021
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective Haoran Sun Wenqiang Pu Xiao Fu Tsung-Hui Chang Mingyi Hong 80 30 0 03 May 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 139 422 0 05 Apr 2021
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks Hoon Lee Junbeom Kim Seok-Hwan Park 69 13 0 21 Mar 2021
Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning Qisheng Wang Xiao Li Shi Jin Yijian Chen 43 12 0 01 Feb 2021
Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks Yasar Sinan Nasir Dongning Guo 34 37 0 19 Dec 2020
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks Apostolos Avranas Marios Kountouris P. Ciblat 78 7 0 27 Nov 2020
Deep Learning-based Resource Allocation For Device-to-Device Communication Woongsup Lee R. Schober 58 43 0 25 Nov 2020
Distributed Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 111 51 0 18 Nov 2020
Adaptive Contention Window Design using Deep Q-learning Abhishek Kumar Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra 44 34 0 18 Nov 2020
Learning to Beamform in Heterogeneous Massive MIMO Networks Minghe Zhu Tsung-Hui Chang Mingyi Hong 63 23 0 08 Nov 2020
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks Zhiyang Wang Mark Eisen Alejandro Ribeiro 60 18 0 05 Nov 2020
Contrastive Self-Supervised Learning for Wireless Power Control Navid Naderializadeh SSL 95 7 0 22 Oct 2020
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication Alperen Gündogan H. Gürsu V. Pauli W. Kellerer 33 30 0 11 Oct 2020
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks Yasar Sinan Nasir Dongning Guo 38 24 0 14 Sep 2020
Learning Power Control from a Fixed Batch of Data M. Khoshkholgh H. Yanikomeroglu OffRL 39 2 0 05 Aug 2020
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing Xiaolan Liu Jiadong Yu Yue Gao 110 89 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 66 170 0 17 Mar 2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour 79 129 0 14 Feb 2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems Dionysios S. Kalogerias Mark Eisen George J. Pappas Alejandro Ribeiro 69 13 0 10 Nov 2019
Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation A. Tondwalkar Andres Kwasinski 30 4 0 29 Oct 2019
Deep Reinforcement Learning Based Power control for Wireless Multicast Systems R. Raghu Pratheek S. Upadhyaya M. Panju Vaneet Aggarwal V. Sharma 32 11 0 27 Sep 2019
Learn to Compress CSI and Allocate Resources in Vehicular Networks Liang Wang Hao Ye Le Liang Geoffrey Ye Li 52 40 0 12 Aug 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 78 200 0 07 Jul 2019
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT Yue Xu Zengde Deng Mengdi Wang Wenjun Xu Anthony Man-Cho So Shuguang Cui 64 14 0 02 Jul 2019
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour S. Talwar 53 9 0 20 Jun 2019