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Deep Learning in Mobile and Wireless Networking: A Survey

Deep Learning in Mobile and Wireless Networking: A Survey

12 March 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
ArXivPDFHTML

Papers citing "Deep Learning in Mobile and Wireless Networking: A Survey"

50 / 97 papers shown
Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Dusit Niyato
C. Hong
AI4CE
28
0
0
11 May 2025
Hybrid Real- and Complex-valued Neural Network Architecture
Hybrid Real- and Complex-valued Neural Network Architecture
Alex Young
L. V. Fiorio
Bo Yang
B. Karanov
Wim J. van Houtum
Ronald M. Aarts
31
0
0
04 Apr 2025
Regional climate projections using a deep-learning-based model-ranking and downscaling framework: Application to European climate zones
Regional climate projections using a deep-learning-based model-ranking and downscaling framework: Application to European climate zones
Parthiban Loganathan
Elias Zea
Ricardo Vinuesa
Evelyn Otero
AI4Cl
91
0
0
27 Feb 2025
Deep Learning in Wireless Communication Receiver: A Survey
Deep Learning in Wireless Communication Receiver: A Survey
Shadman Rahman Doha
Ahmed Abdelhadi
40
0
0
25 Jan 2025
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
Assaf Lahiany
Yehudit Aperstein
31
4
0
07 Jan 2025
Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
Michail Kalntis
Georgios Iosifidis
Fernando A. Kuipers
37
5
0
31 Dec 2024
Generative AI for Data Augmentation in Wireless Networks: Analysis,
  Applications, and Case Study
Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study
Jinbo Wen
Jiawen Kang
Dusit Niyato
Y. Zhang
Jiacheng Wang
Biplab Sikdar
Ping Zhang
31
0
0
13 Nov 2024
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in
  Large-scale Cloud Infrastructure
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure
C. Zhang
Randolph Yao
Si Qin
Ze Li
Shekhar Agrawal
...
Tri Tran
Minghua Ma
Qingwei Lin
Murali Chintalapati
Dongmei Zhang
87
0
0
23 Oct 2024
Security, Trust and Privacy challenges in AI-driven 6G Networks
Security, Trust and Privacy challenges in AI-driven 6G Networks
Helena Rifa-Pous
Victor Garcia-Font
Carlos Núñez-Gómez
Julian Salas
18
4
0
16 Sep 2024
5G NR PRACH Detection with Convolutional Neural Networks (CNN):
  Overcoming Cell Interference Challenges
5G NR PRACH Detection with Convolutional Neural Networks (CNN): Overcoming Cell Interference Challenges
D. Guel
Arsene Kabore
Didier Bassolé
15
1
0
21 Aug 2024
Shaping Rewards, Shaping Routes: On Multi-Agent Deep Q-Networks for
  Routing in Satellite Constellation Networks
Shaping Rewards, Shaping Routes: On Multi-Agent Deep Q-Networks for Routing in Satellite Constellation Networks
Manuel M. H. Roth
Anupama Hegde
T. Delamotte
Andreas Knopp
15
1
0
04 Aug 2024
A Method for Fast Autonomy Transfer in Reinforcement Learning
A Method for Fast Autonomy Transfer in Reinforcement Learning
D. Sahabandu
Bhaskar Ramasubramanian
M. Alexiou
J. S. Mertoguno
L. Bushnell
Radha Poovendran
20
0
0
29 Jul 2024
CUPID: Improving Battle Fairness and Position Satisfaction in Online
  MOBA Games with a Re-matchmaking System
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System
Ge Fan
Chaoyun Zhang
Kai Wang
Yingjie Li
Junyang Chen
Zenglin Xu
29
1
0
28 Jun 2024
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Adam Orucu
Farnaz Moradi
Masoumeh Ebrahimi
Andreas Johnsson
AI4CE
21
1
0
04 Jun 2024
Applications of Generative AI (GAI) for Mobile and Wireless Networking:
  A Survey
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
Thai-Hoc Vu
Senthil Kumar Jagatheesaperumal
Minh-Duong Nguyen
Nguyen Van Huynh
Sunghwan Kim
Viet Quoc Pham
36
8
0
30 May 2024
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK
  Constellations
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations
Arwin Gansekoele
Alexios Balatsoukas-Stimming
Tom Brusse
Mark Hoogendoorn
S. Bhulai
R. V. D. Mei
25
4
0
16 May 2024
Can LLMs Understand Computer Networks? Towards a Virtual System
  Administrator
Can LLMs Understand Computer Networks? Towards a Virtual System Administrator
Denis Donadel
Francesco Marchiori
Luca Pajola
Mauro Conti
32
7
0
19 Apr 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A
  Comprehensive Survey
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Feng Liang
Zhen Zhang
Haifeng Lu
Victor C. M. Leung
Yanyi Guo
Xiping Hu
GNN
29
6
0
09 Apr 2024
Tiny Graph Neural Networks for Radio Resource Management
Tiny Graph Neural Networks for Radio Resource Management
Ahmad Ghasemi
Hossein Pishro-Nik
GNN
21
1
0
28 Mar 2024
Neural Codebook Design for Network Beam Management
Neural Codebook Design for Network Beam Management
Ryan M. Dreifuerst
Robert W. Heath
16
2
0
05 Mar 2024
Fair Resource Allocation in Virtualized O-RAN Platforms
Fair Resource Allocation in Virtualized O-RAN Platforms
Fatih Aslan
Georgios Iosifidis
J. Ayala-Romero
A. Garcia-Saavedra
Xavier Costa Pérez
22
9
0
17 Feb 2024
Data-driven Energy Efficiency Modelling in Large-scale Networks: An
  Expert Knowledge and ML-based Approach
Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach
David López-Pérez
Antonio De Domenico
Nicola Piovesan
Merouane Debbah
23
7
0
31 Dec 2023
Xpert: Empowering Incident Management with Query Recommendations via
  Large Language Models
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang
Chaoyun Zhang
Shilin He
Zhihao Yang
Ming-Jie Ma
...
Yu Kang
Yingnong Dang
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
37
17
0
19 Dec 2023
LinguaLinked: A Distributed Large Language Model Inference System for
  Mobile Devices
LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices
Junchen Zhao
Yurun Song
Simeng Liu
Ian G. Harris
S. Jyothi
16
5
0
01 Dec 2023
An Adaptive Framework for Generalizing Network Traffic Prediction
  towards Uncertain Environments
An Adaptive Framework for Generalizing Network Traffic Prediction towards Uncertain Environments
Alexander Downey
Evren Tuna
Alkan Soysal
AI4TS
17
1
0
30 Nov 2023
Hierarchical ML Codebook Design for Extreme MIMO Beam Management
Hierarchical ML Codebook Design for Extreme MIMO Beam Management
Ryan M. Dreifuerst
Robert W. Heath
17
5
0
24 Nov 2023
Breaking Boundaries: Balancing Performance and Robustness in Deep
  Wireless Traffic Forecasting
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
Romain Ilbert
Thai V. Hoang
Zonghua Zhang
Themis Palpanas
OOD
AAML
15
0
0
16 Nov 2023
Causal Reasoning: Charting a Revolutionary Course for Next-Generation
  AI-Native Wireless Networks
Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks
Christo Kurisummoottil Thomas
Christina Chaccour
Walid Saad
Merouane Debbah
C. Hong
21
19
0
23 Sep 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
T. Getu
Georges Kaddoum
M. Bennis
32
1
0
13 Sep 2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Computation-efficient Deep Learning for Computer Vision: A Survey
Yulin Wang
Yizeng Han
Chaofei Wang
Shiji Song
Qi Tian
Gao Huang
VLM
26
20
0
27 Aug 2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series
  Anomaly Detection
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen
C. Zhang
Minghua Ma
Yudong Liu
Ruomeng Ding
Bo-wen Li
Shilin He
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
DiffM
14
47
0
03 Jul 2023
A Comprehensive Survey on Applications of Transformers for Deep Learning
  Tasks
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
Saidul Islam
Hanae Elmekki
Ahmed Elsebai
Jamal Bentahar
Najat Drawel
Gaith Rjoub
Witold Pedrycz
ViT
MedIm
19
170
0
11 Jun 2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource
  Allocation
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation
Steffen Gracla
C. Bockelmann
Armin Dekorsy
8
3
0
25 Apr 2023
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring
Steffen Gracla
Edgar Beck
C. Bockelmann
Armin Dekorsy
OOD
19
3
0
20 Apr 2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet
  Regularization
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization
Xujing Li
Min Liu
Sheng Sun
Yuwei Wang
Hui Jiang
Xue Jiang
13
4
0
12 Apr 2023
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless
  Networks
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks
Marc Katzef
Andrew C. Cullen
T. Alpcan
C. Leckie
Justin Kopacz
20
0
0
23 Mar 2023
From Emulation to Mathematical: A More General Traffic Obfuscation
  Approach To Encounter Feature based Mobile App traffic Classification
From Emulation to Mathematical: A More General Traffic Obfuscation Approach To Encounter Feature based Mobile App traffic Classification
Lichun Gao
Mingjie Zeng
Zhanhong Huang
11
0
0
06 Feb 2023
Evolution of MAC Protocols in the Machine Learning Decade: A
  Comprehensive Survey
Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey
Mostafa Hussien
I. Taj-Eddin
Mohammed F. A. Ahmed
Ali Ranjha
K. Nguyen
M. Cheriet
AI4TS
10
8
0
24 Jan 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
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
29
75
0
03 Jan 2023
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
19
233
0
02 Jan 2023
Channel charting based beamforming
Channel charting based beamforming
Luc Le Magoarou
Taha Yassine
S. Paquelet
M. Crussiére
20
9
0
06 Dec 2022
Interpretable Option Discovery using Deep Q-Learning and Variational
  Autoencoders
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders
Per-Arne Andersen
Ole-Christoffer Granmo
Morten Goodwin
OOD
16
0
0
03 Oct 2022
Self-supervised Learning for Clustering of Wireless Spectrum Activity
Self-supervised Learning for Clustering of Wireless Spectrum Activity
Ljupcho Milosheski
Gregor Cerar
Blaž Bertalanič
Carolina Fortuna
M. Mohorčič
19
3
0
22 Sep 2022
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated
  Split Learning
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning
Benshun Yin
Zhiyong Chen
M. Tao
FedML
67
23
0
02 Sep 2022
Energy-aware Scheduling of Virtualized Base Stations in O-RAN with
  Online Learning
Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning
Michail Kalntis
Georgios Iosifidis
8
6
0
21 Aug 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning
A Review of the Convergence of 5G/6G Architecture and Deep Learning
O. Odeyomi
Olubiyi O. Akintade
T. Olowu
G. Záruba
AILaw
3DV
AI4TS
11
1
0
16 Aug 2022
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
Chaoyun Zhang
Kai Wang
Hao Chen
Ge Fan
Yingjie Li
Lifang Wu
Bingchao Zheng
12
8
0
15 Aug 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute
  Classification
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
29
38
0
22 Jul 2022
A Bipartite Graph Neural Network Approach for Scalable Beamforming
  Optimization
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization
Junbeom Kim
Hoon Lee
Seung‐Eun Hong
Seok-Hwan Park
41
44
0
12 Jul 2022
Model-based Deep Learning Receiver Design for Rate-Splitting Multiple
  Access
Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Access
Rafael Cerna Loli
Onur Dizdar
B. Clerckx
Cong Ling
13
17
0
02 May 2022
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