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State-Augmented Learnable Algorithms for Resource Management in Wireless
  Networks

State-Augmented Learnable Algorithms for Resource Management in Wireless Networks

5 July 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
ArXivPDFHTML

Papers citing "State-Augmented Learnable Algorithms for Resource Management in Wireless Networks"

8 / 8 papers shown
Title
Generative Diffusion Models for Resource Allocation in Wireless Networks
Generative Diffusion Models for Resource Allocation in Wireless Networks
Yigit Berkay Uslu
Samar Hadou
Shirin Saeedi Bidokhti
Alejandro Ribeiro
DiffM
31
0
0
28 Apr 2025
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
29
0
0
05 Mar 2025
Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach
Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach
Yiugit Berkay Uslu
Roya Doostnejad
Alejandro Ribeiro
Navid Naderializadeh
38
3
0
28 Jan 2025
A Deep Learning Based Resource Allocator for Communication Systems with
  Dynamic User Utility Demands
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands
Pourya Behmandpoor
Panagiotis Patrinos
Marc Moonen
8
1
0
08 Nov 2023
Learning State-Augmented Policies for Information Routing in
  Communication Networks
Learning State-Augmented Policies for Information Routing in Communication Networks
Sourajit Das
Navid Naderializadeh
Alejandro Ribeiro
13
1
0
30 Sep 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
6
0
0
28 Oct 2022
Power Allocation for Wireless Federated Learning using Graph Neural
  Networks
Power Allocation for Wireless Federated Learning using Graph Neural Networks
Boning Li
A. Swami
Santiago Segarra
FedML
38
12
0
15 Nov 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
15
3
0
04 Oct 2021
1