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A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals,
  Technology Integration, and State-of-the-Art
v1v2 (latest)

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

20 June 2019
Quoc-Viet Pham
Fang Fang
H. Vu
Md. Jalil Piran
Mai Le
L. Le
Won Joo Hwang
Z. Ding
ArXiv (abs)PDFHTML

Papers citing "A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art"

31 / 31 papers shown
Title
Sum-Rate Maximization for UAV-assisted Visible Light Communications
  using NOMA: Swarm Intelligence meets Machine Learning
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning
Quoc-Viet Pham
Thien Huynh-The
M. Alazab
Jun Zhao
Won Joo Hwang
61
87
0
10 Jan 2021
Distributed Optimization for Energy-efficient Fog Computing in the
  Tactile Internet
Distributed Optimization for Energy-efficient Fog Computing in the Tactile Internet
Yong Xiao
Marwan Krunz
41
109
0
28 Jan 2020
Integration of Blockchain and Cloud of Things: Architecture,
  Applications and Challenges
Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
Dinh C. Nguyen
P. Pathirana
Ming Ding
Aruna Seneviratne
52
141
0
24 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
123
4,517
0
21 Aug 2019
Event-triggered Natural Hazard Monitoring with Convolutional Neural
  Networks on the Edge
Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
Matthias Meyer
Timo Farei-Campagna
Akos Pasztor
Reto Da Forno
Tonio Gsell
Jérome Faillettaz
Andreas Vieli
S. Weber
J. Beutel
Lothar Thiele
31
35
0
22 Oct 2018
Applications of Deep Reinforcement Learning in Communications and
  Networking: A Survey
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong
D. Hoang
Shimin Gong
Dusit Niyato
Ping Wang
Ying-Chang Liang
Dong In Kim
OffRL
86
1,437
0
18 Oct 2018
Application of Machine Learning in Wireless Networks: Key Techniques and
  Open Issues
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues
Yaohua Sun
M. Peng
Yangcheng Zhou
Yuzhe Huang
S. Mao
60
435
0
24 Sep 2018
Towards an Intelligent Edge: Wireless Communication Meets Machine
  Learning
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning
Guangxu Zhu
Dongzhu Liu
Yuqing Du
Changsheng You
Jun Zhang
Kaibin Huang
52
506
0
02 Sep 2018
Optimized Computation Offloading Performance in Virtual Edge Computing
  Systems via Deep Reinforcement Learning
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
Xianfu Chen
Honggang Zhang
Celimuge Wu
S. Mao
Yusheng Ji
Medhi Bennis
OffRL
74
482
0
16 May 2018
Client Selection for Federated Learning with Heterogeneous Resources in
  Mobile Edge
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
Takayuki Nishio
Ryo Yonetani
FedML
120
1,404
0
23 Apr 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
251
1,709
0
14 Apr 2018
An Overview on Application of Machine Learning Techniques in Optical
  Networks
An Overview on Application of Machine Learning Techniques in Optical Networks
F. Musumeci
C. Rottondi
A. Nag
I. Macaluso
D. Zibar
Marco Ruffini
M. Tornatore
62
467
0
21 Mar 2018
Security in Mobile Edge Caching with Reinforcement Learning
Security in Mobile Edge Caching with Reinforcement Learning
Liang Xiao
Xiaoyue Wan
Canhuang Dai
Xiaojiang Du
Xiang Chen
Mohsen Guizani
49
193
0
18 Jan 2018
A Taxonomy for Management and Optimization of Multiple Resources in Edge
  Computing
A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing
Klervie Toczé
Simin Nadjm-Tehrani
46
105
0
17 Jan 2018
Deep Learning for Reliable Mobile Edge Analytics in Intelligent
  Transportation Systems
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems
A. Ferdowsi
Ursula Challita
Walid Saad
37
167
0
12 Dec 2017
A Comprehensive Survey on Fog Computing: State-of-the-art and Research
  Challenges
A Comprehensive Survey on Fog Computing: State-of-the-art and Research Challenges
Carla Mouradian
Diala Naboulsi
Sami Yangui
R. Glitho
M. Morrow
P. Polakos
52
850
0
30 Oct 2017
Artificial Neural Networks-Based Machine Learning for Wireless Networks:
  A Tutorial
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
Mingzhe Chen
Ursula Challita
Walid Saad
Changchuan Yin
Mérouane Debbah
60
208
0
09 Oct 2017
Mobile Edge Computing Empowers Internet of Things
Mobile Edge Computing Empowers Internet of Things
N. Ansari
Xiang Sun
44
99
0
01 Sep 2017
Computation Rate Maximization for Wireless Powered Mobile-Edge Computing
  with Binary Computation Offloading
Computation Rate Maximization for Wireless Powered Mobile-Edge Computing with Binary Computation Offloading
Suzhi Bi
Y. Zhang
41
694
0
29 Aug 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
120
2,816
0
19 Aug 2017
Deep Learning Methods for Improved Decoding of Linear Codes
Deep Learning Methods for Improved Decoding of Linear Codes
Eliya Nachmani
Elad Marciano
Loren Lugosch
W. Gross
D. Burshtein
Yair Be’ery
67
480
0
21 Jun 2017
Live Service Migration in Mobile Edge Clouds
Live Service Migration in Mobile Edge Clouds
Andrew Machen
Shiqiang Wang
K. Leung
Bongjun Ko
Theodoros Salonidis
34
242
0
13 Jun 2017
Socially Trusted Collaborative Edge Computing in Ultra Dense Networks
Socially Trusted Collaborative Edge Computing in Ultra Dense Networks
Lixing Chen
Jie Xu
53
67
0
09 May 2017
Online Learning for Offloading and Autoscaling in Energy Harvesting
  Mobile Edge Computing
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
Jie Xu
Lixing Chen
Shaolei Ren
51
303
0
17 Mar 2017
On Using Micro-Clouds to Deliver the Fog
On Using Micro-Clouds to Deliver the Fog
Yehia El-khatib
Barry Porter
H. B. Ribeiro
M. Zhani
Junaid Qadir
E. Rivière
38
98
0
06 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
175
1,539
0
25 Jan 2017
Federated Optimization: Distributed Machine Learning for On-Device
  Intelligence
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub Konecný
H. B. McMahan
Daniel Ramage
Peter Richtárik
FedML
138
1,899
0
08 Oct 2016
Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security
  Threats and Challenges
Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges
R. Román
Javier López
M. Mambo
42
1,092
0
01 Feb 2016
Dynamic Service Migration in Mobile Edge Computing Based on Markov
  Decision Process
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process
Shiqiang Wang
Rahul Urgaonkar
M. Zafer
T. He
Kevin S. Chan
K. Leung
61
268
0
17 Jun 2015
Mobility-Induced Service Migration in Mobile Micro-Clouds
Mobility-Induced Service Migration in Mobile Micro-Clouds
Shiqiang Wang
Rahul Urgaonkar
T. He
M. Zafer
Kevin S. Chan
K. Leung
41
105
0
17 Mar 2015
Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future
  Costs
Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs
Shiqiang Wang
Rahul Urgaonkar
T. He
Kevin S. Chan
M. Zafer
K. Leung
46
236
0
09 Mar 2015
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