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Deep Learning based Wireless Resource Allocation with Application to
  Vehicular Networks

Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks

7 July 2019
Le Liang
Hao Ye
Guanding Yu
Geoffrey Ye Li
ArXivPDFHTML

Papers citing "Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks"

18 / 18 papers shown
Title
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
14
1
0
08 Nov 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Arindam Chowdhury
Gunjan Verma
A. Swami
Santiago Segarra
15
13
0
02 Apr 2023
Graph Neural Networks Meet Wireless Communications: Motivation,
  Applications, and Future Directions
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions
Mengyuan Lee
Guanding Yu
H. Dai
Geoffrey Ye Li
30
28
0
08 Dec 2022
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
29
0
0
28 Oct 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless
  Networks
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
26
16
0
05 Jul 2022
Machine Learning-Based User Scheduling in Integrated
  Satellite-HAPS-Ground Networks
Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks
H. Dahrouj
Shasha Liu
Mohamed-Slim Alouini
14
14
0
27 May 2022
Learning to Optimize Resource Assignment for Task Offloading in Mobile
  Edge Computing
Learning to Optimize Resource Assignment for Task Offloading in Mobile Edge Computing
Yurong Qian
Jindan Xu
Shuhan Zhu
Wei Xu
Lisheng Fan
G. Karagiannidis
15
16
0
15 Mar 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
34
416
0
24 Nov 2021
Algorithm Unrolling for Massive Access via Deep Neural Network with
  Theoretical Guarantee
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee
Yandong Shi
Hayoung Choi
Yuanming Shi
Yong Zhou
27
29
0
19 Jun 2021
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep
  Reinforcement Learning
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning
Mohammad Akbari
Mohammad Reza Abedi
Roghayeh Joda
Mohsen Pourghasemian
Nader Mokari
Melike Erol-Kantarci
26
53
0
10 May 2021
Semantic Communications for Speech Signals
Semantic Communications for Speech Signals
Zhenzi Weng
Zhijin Qin
Geoffrey Ye Li
19
80
0
09 Dec 2020
Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA
  Networks
Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks
Tiankui Zhang
Ziduan Wang
Yuanwei Liu
Wenjun Xu
A. Nallanathan
7
65
0
12 Aug 2020
Improving Learning Efficiency for Wireless Resource Allocation with
  Symmetric Prior
Improving Learning Efficiency for Wireless Resource Allocation with Symmetric Prior
Chengjian Sun
Jiajun Wu
Chenyang Yang
18
17
0
18 May 2020
Wireless Power Control via Counterfactual Optimization of Graph Neural
  Networks
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
12
23
0
17 Feb 2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems
Dionysios S. Kalogerias
Mark Eisen
George J. Pappas
Alejandro Ribeiro
13
13
0
10 Nov 2019
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,231
0
30 Nov 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
109
595
0
28 Feb 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,171
0
02 Feb 2017
1