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1807.08088
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Learning Optimal Resource Allocations in Wireless Systems
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2018
21 July 2018
Mark Eisen
Clark Zhang
Luiz F. O. Chamon
Daniel D. Lee
Alejandro Ribeiro
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Papers citing
"Learning Optimal Resource Allocations in Wireless Systems"
50 / 62 papers shown
Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints
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Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
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Changyang She
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Jamie Evans
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Constrained Sliced Wasserstein Embedding
Navid Naderializadeh
Darian Salehi
Hengrong Du
Soheil Kolouri
199
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02 Jun 2025
A Data-Driven Real-Time Optimal Power Flow Algorithm Using Local Feedback
IEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2025
Heng Liang
Yujin Huang
Changhong Zhao
197
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0
24 Feb 2025
Learning Non-myopic Power Allocation in Constrained Scenarios
Arindam Chowdhury
Santiago Paternain
Gunjan Verma
A. Swami
Santiago Segarra
301
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18 Jan 2024
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
Thinh Viet Le
V. Kekatos
215
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14 Nov 2023
A Deep Learning Based Resource Allocator for Communication Networks with Dynamic User Utility Demands
Pourya Behmandpoor
Mark Eisen
Panagiotis Patrinos
Marc Moonen
348
1
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08 Nov 2023
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Yao Zhang
Zhiwen Yu
Jun Zhang
Liang Wang
Tom H. Luan
Bin Guo
Chau Yuen
115
12
0
07 Nov 2023
Learning State-Augmented Policies for Information Routing in Communication Networks
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Sourajit Das
Navid Naderializadeh
Alejandro Ribeiro
285
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0
30 Sep 2023
On Using Admissible Bounds for Learning Forward Search Heuristics
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Carlos Núnez-Molina
Masataro Asai
Pablo Mesejo
Juan Fernández-Olivares
323
5
0
23 Aug 2023
Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework
IEEE Transactions on Communications (IEEE Trans. Commun.), 2023
Mehrazin Alizadeh
Hina Tabassum
99
14
0
31 May 2023
Physical Layer Authentication and Security Design in the Machine Learning Era
IEEE Communications Surveys and Tutorials (COMST), 2023
T. M. Hoang
Alireza Vahid
H. Tuan
L. Hanzo
292
45
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16 May 2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation
Steffen Gracla
C. Bockelmann
Armin Dekorsy
121
4
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25 Apr 2023
Learning to Transmit with Provable Guarantees in Wireless Federated Learning
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
Boning Li
Jake B. Perazzone
A. Swami
Santiago Segarra
243
6
0
18 Apr 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
Arindam Chowdhury
Gunjan Verma
A. Swami
Santiago Segarra
199
21
0
02 Apr 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
IEEE 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
255
143
0
03 Jan 2023
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
261
1
0
28 Oct 2022
Learning Globally Smooth Functions on Manifolds
International Conference on Machine Learning (ICML), 2022
J. Cerviño
Luiz F. O. Chamon
B. Haeffele
René Vidal
Alejandro Ribeiro
518
6
0
01 Oct 2022
An Unsupervised Learning Approach for Spectrum Allocation in Terahertz Communication Systems
Global Communications Conference (GLOBECOM), 2022
A. Shafie
Chunhui Li
Nan Yang
Xiangyun Zhou
T. Duong
103
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07 Aug 2022
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks
Longfei Ma
Nan Cheng
Xiucheng Wang
Ruijin Sun
Ning Lu
58
15
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02 Aug 2022
Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry?
Yuhong Liu
Changyang She
Yi Zhong
Wibowo Hardjawana
F. Zheng
Branka Vucetic
160
7
0
11 Jul 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
258
27
0
05 Jul 2022
Graph Neural Networks for Wireless Communications: From Theory to Practice
IEEE Transactions on Wireless Communications (TWC), 2022
Yifei Shen
Jun Zhang
Shenghui Song
Khaled B. Letaief
GNN
AI4CE
266
182
0
21 Mar 2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
444
38
0
07 Mar 2022
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks
IEEE Transactions on Wireless Communications (TWC), 2022
Boning Li
Gunjan Verma
Santiago Segarra
262
25
0
27 Jan 2022
Decentralized Multi-Task Stochastic Optimization With Compressed Communications
Navjot Singh
Xuanyu Cao
Suhas Diggavi
Tamer Basar
181
13
0
23 Dec 2021
DNN-based Policies for Stochastic AC OPF
Electric power systems research (EPSR), 2021
Sarthak Gupta
Sidhant Misra
Sidhant Misra
V. Kekatos
192
16
0
04 Dec 2021
Power Allocation for Wireless Federated Learning using Graph Neural Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Boning Li
A. Swami
Santiago Segarra
FedML
241
18
0
15 Nov 2021
Stability Analysis of Unfolded WMMSE for Power Allocation
Arindam Chowdhury
Fernando Gama
Santiago Segarra
208
4
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14 Oct 2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels
Navid Naderializadeh
212
5
0
04 Oct 2021
Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration
International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Hassaan Hashmi
Dionysios S. Kalogerias
188
2
0
23 Aug 2021
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee
IEEE Transactions on Wireless Communications (IEEE TWC), 2021
Yandong Shi
Hayoung Choi
Yuanming Shi
Yong Zhou
191
40
0
19 Jun 2021
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Haoran Sun
Wenqiang Pu
Xiao Fu
Tsung-Hui Chang
Mingyi Hong
199
39
0
03 May 2021
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach
IEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2021
Sarthak Gupta
V. Kekatos
Ming Jin
182
30
0
02 May 2021
Constrained Learning with Non-Convex Losses
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Luiz F. O. Chamon
Santiago Paternain
Miguel Calvo-Fullana
Alejandro Ribeiro
328
55
0
08 Mar 2021
Sufficiently Accurate Model Learning for Planning
Clark Zhang
Santiago Paternain
Alejandro Ribeiro
71
0
0
11 Feb 2021
Efficient power allocation using graph neural networks and deep algorithm unfolding
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Arindam Chowdhury
Gunjan Verma
Chirag R. Rao
A. Swami
Santiago Segarra
237
17
0
18 Nov 2020
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks
Zhiyang Wang
Mark Eisen
Alejandro Ribeiro
154
21
0
05 Nov 2020
Contrastive Self-Supervised Learning for Wireless Power Control
Navid Naderializadeh
SSL
214
8
0
22 Oct 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She
Chengjian Sun
Zhouyou Gu
Yonghui Li
Chenyang Yang
H. Vincent Poor
Branka Vucetic
285
17
0
13 Sep 2020
Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel
M. Khoshkholgh
H. Yanikomeroglu
97
8
0
04 Aug 2020
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications
Zhan Gao
Mark Eisen
Alejandro Ribeiro
78
1
0
27 Jul 2020
Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring
Ishan D. Khurjekar
J. Harley
112
3
0
14 Jul 2020
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
Qiyu Hu
Yunlong Cai
Qingjiang Shi
Kaidi Xu
Guanding Yu
Z. Ding
85
201
0
15 Jun 2020
Zeroth-order Deterministic Policy Gradient
Harshat Kumar
Dionysios S. Kalogerias
George J. Pappas
Alejandro Ribeiro
OffRL
159
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0
12 Jun 2020
Unsupervised Deep Learning for Optimizing Wireless Systems with Instantaneous and Statistic Constraints
Chengjian Sun
Changyang She
Chenyang Yang
192
0
0
30 May 2020
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G
IEEE Transactions on Wireless Communications (TWC), 2020
Rui Dong
Changyang She
Wibowo Hardjawana
Yonghui Li
Branka Vucetic
163
93
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29 Mar 2020
Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
IEEE Transactions on Signal Processing (TSP), 2020
Thulasi Tholeti
Sheetal Kalyani
172
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22 Mar 2020
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
175
26
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17 Feb 2020
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning
IEEE Network (IEEE Netw.), 2020
Dong Liu
Chengjian Sun
Chenyang Yang
L. Hanzo
109
40
0
03 Jan 2020
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