ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.08487
  4. Cited By
A Graph Neural Network Approach for Scalable Wireless Power Control

A Graph Neural Network Approach for Scalable Wireless Power Control

19 July 2019
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
    GNN
ArXiv (abs)PDFHTMLGithub (28★)

Papers citing "A Graph Neural Network Approach for Scalable Wireless Power Control"

28 / 28 papers shown
Title
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
Sourajit Das
Navid Naderializadeh
Rahul Mangharam
402
2
0
05 Mar 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
446
10
0
08 Jan 2025
Learning Non-myopic Power Allocation in Constrained Scenarios
Learning Non-myopic Power Allocation in Constrained Scenarios
Arindam Chowdhury
Santiago Paternain
Gunjan Verma
A. Swami
Santiago Segarra
248
0
0
18 Jan 2024
Application of deep and reinforcement learning to boundary control
  problems
Application of deep and reinforcement learning to boundary control problems
Zenin Easa Panthakkalakath
J. Kardoš
Olaf Schenk
AI4CE
107
0
0
21 Oct 2023
Learning State-Augmented Policies for Information Routing in
  Communication Networks
Learning State-Augmented Policies for Information Routing in Communication NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2023
Sourajit Das
Navid Naderializadeh
Alejandro Ribeiro
256
2
0
30 Sep 2023
Unsupervised Deep Unfolded PGD for Transmit Power Allocation in Wireless
  Systems
Unsupervised Deep Unfolded PGD for Transmit Power Allocation in Wireless SystemsIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2023
Ramoni O. Adeogun
77
1
0
20 Jun 2023
Graph Neural Networks-Based User Pairing in Wireless Communication
  Systems
Graph Neural Networks-Based User Pairing in Wireless Communication Systems
Sharan Mourya
Pavan Reddy Manne
Saidhiraj Amuru
K. Kuchi
GNN
114
2
0
14 May 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless
  Networks
Graph Neural Networks over the Air for Decentralized Tasks in Wireless NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2023
Zhan Gao
Deniz Gunduz
GNN
238
3
0
16 Feb 2023
Flex-Net: A Graph Neural Network Approach to Resource Management in
  Flexible Duplex Networks
Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex NetworksIEEE Wireless Communications and Networking Conference (WCNC), 2023
Tharaka Perera
S. Atapattu
Yuting Fang
Prathapasinghe Dharmawansa
J. Evans
GNN
178
6
0
20 Jan 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Machine Learning for Large-Scale Optimization in 6G Wireless NetworksIEEE Communications Surveys and Tutorials (COMST), 2023
Yandong Shi
Lixiang Lian
Yuanming Shi
Zixin Wang
Yong Zhou
Liqun Fu
Lin Bai
Jun Zhang
Wei Zhang
AI4CE
228
136
0
03 Jan 2023
A State-Augmented Approach for Learning Optimal Resource Management
  Decisions in Wireless Networks
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
232
1
0
28 Oct 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless
  Networks
State-Augmented Learnable Algorithms for Resource Management in Wireless NetworksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
240
26
0
05 Jul 2022
Graph Neural Networks for Wireless Communications: From Theory to
  Practice
Graph Neural Networks for Wireless Communications: From Theory to PracticeIEEE Transactions on Wireless Communications (TWC), 2022
Yifei Shen
Jun Zhang
Shenghui Song
Khaled B. Letaief
GNNAI4CE
241
173
0
21 Mar 2022
Learning Resilient Radio Resource Management Policies with Graph Neural
  Networks
Learning Resilient Radio Resource Management Policies with Graph Neural NetworksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
401
36
0
07 Mar 2022
To Supervise or Not: How to Effectively Learn Wireless Interference
  Management Models?
To Supervise or Not: How to Effectively Learn Wireless Interference Management Models?
Bingqing Song
Haoran Sun
Wenqiang Pu
Sijia Liu
Min-Fong Hong
98
0
0
28 Dec 2021
Power Allocation for Wireless Federated Learning using Graph Neural
  Networks
Power Allocation for Wireless Federated Learning using Graph Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Boning Li
A. Swami
Santiago Segarra
FedML
223
18
0
15 Nov 2021
Stability Analysis of Unfolded WMMSE for Power Allocation
Stability Analysis of Unfolded WMMSE for Power Allocation
Arindam Chowdhury
Fernando Gama
Santiago Segarra
191
4
0
14 Oct 2021
Wireless Link Scheduling via Graph Representation Learning: A
  Comparative Study of Different Supervision Levels
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels
Navid Naderializadeh
195
5
0
04 Oct 2021
Algorithm Unrolling for Massive Access via Deep Neural Network with
  Theoretical Guarantee
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical GuaranteeIEEE Transactions on Wireless Communications (IEEE TWC), 2021
Yandong Shi
Hayoung Choi
Yuanming Shi
Yong Zhou
177
38
0
19 Jun 2021
Learning Autonomy in Management of Wireless Random Networks
Learning Autonomy in Management of Wireless Random Networks
Hoon Lee
Sang Hyun Lee
Tony Q.S. Quek
207
7
0
15 Jun 2021
Graph-based Deep Learning for Communication Networks: A Survey
Graph-based Deep Learning for Communication Networks: A SurveyComputer Communications (Comput. Commun.), 2021
Weiwei Jiang
GNNAI4CE
235
243
0
04 Jun 2021
Learning to Continuously Optimize Wireless Resource in a Dynamic
  Environment: A Bilevel Optimization Perspective
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization PerspectiveIEEE Transactions on Signal Processing (IEEE TSP), 2021
Haoran Sun
Wenqiang Pu
Xiao Fu
Tsung-Hui Chang
Mingyi Hong
165
36
0
03 May 2021
Efficient power allocation using graph neural networks and deep
  algorithm unfolding
Efficient power allocation using graph neural networks and deep algorithm unfoldingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Arindam Chowdhury
Gunjan Verma
Chirag R. Rao
A. Swami
Santiago Segarra
210
16
0
18 Nov 2020
Learning Power Control for Cellular Systems with Heterogeneous Graph
  Neural Network
Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network
Jia Guo
Chenyang Yang
120
23
0
06 Nov 2020
Contrastive Self-Supervised Learning for Wireless Power Control
Contrastive Self-Supervised Learning for Wireless Power Control
Navid Naderializadeh
SSL
207
8
0
22 Oct 2020
Graph Neural Networks for Scalable Radio Resource Management:
  Architecture Design and Theoretical Analysis
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical AnalysisIEEE Journal on Selected Areas in Communications (JSAC), 2020
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
GNN
215
322
0
15 Jul 2020
Wireless Power Control via Counterfactual Optimization of Graph Neural
  Networks
Wireless Power Control via Counterfactual Optimization of Graph Neural NetworksInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
173
26
0
17 Feb 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial IntelligenceIEEE Internet of Things Journal (IEEE IoT Journal), 2019
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Yuxiang Cai
Schahram Dustdar
Albert Y. Zomaya
328
701
0
02 Sep 2019
1