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Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication
  Networks
v1v2 (latest)

Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks

17 June 2020
Gouranga Charan
Muhammad Alrabeiah
Ahmed Alkhateeb
ArXiv (abs)PDFHTML

Papers citing "Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks"

13 / 13 papers shown
Title
Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World
  Scenarios
Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios
Gouranga Charan
Muhammad Alrabeiah
Tawfik Osman
Ahmed Alkhateeb
42
12
0
14 Aug 2023
Enhancing Reliability in Federated mmWave Networks: A Practical and
  Scalable Solution using Radar-Aided Dynamic Blockage Recognition
Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition
Mohammad M. Al-Quraan
A. Zoha
Anthony Centeno
H. Salameh
Sami Muhaidat
Muhammad Ali Imran
Lina S. Mohjazi
58
5
0
22 Jun 2023
Vision-Aided 6G Wireless Communications: Blockage Prediction and
  Proactive Handoff
Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff
Gouranga Charan
Muhammad Alrabeiah
Ahmed Alkhateeb
52
136
0
18 Feb 2021
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave
  Measurements
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements
Shunyao Wu
Muhammad Alrabeiah
Andrew Hredzak
C. Chakrabarti
Ahmed Alkhateeb
10
5
0
18 Jan 2021
Vision-Aided Radio: User Identity Match in Radio and Video Domains Using
  Machine Learning
Vision-Aided Radio: User Identity Match in Radio and Video Domains Using Machine Learning
Vinicius Mesquita De Pinho
M. D. De Campos
L. U. Garcia
D. Popescu
43
12
0
14 Oct 2020
Applying Deep-Learning-Based Computer Vision to Wireless Communications:
  Methodologies, Opportunities, and Challenges
Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Opportunities, and Challenges
Yu Tian
Gaofeng Pan
Mohamed-Slim Alouini
60
44
0
10 Jun 2020
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,668
0
25 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,819
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
268
29,955
0
08 Dec 2015
Listen, Attend and Spell
Listen, Attend and Spell
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
172
2,270
0
05 Aug 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
765
37,125
0
08 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.8K
100,644
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
449
43,922
0
01 May 2014
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