Title
Handover Management for mmWave Networks with Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning
Abstract
For millimeter-wave networks, this paper presents a paradigm shift for leveraging time-consecutive camera images in handover decision problems. While making handover decisions, it is important to predict future long-term performance-e.g., the cumulative sum of time-varying data rates-proactively to avoid making myopic decisions. However, this study experimentally notices that a time-variation in t...
Year
DOI
Venue
2020
10.1109/TCCN.2019.2961655
IEEE Transactions on Cognitive Communications and Networking
Keywords
DocType
Volume
Handover,Cameras,Degradation,Timing,Millimeter wave communication,Microwave communication
Journal
6
Issue
ISSN
Citations 
2
2332-7731
4
PageRank 
References 
Authors
0.39
0
5
Name
Order
Citations
PageRank
Yusuke Koda172.84
Kota Nakashima282.49
Koji Yamamoto38616.61
Takayuki Nishio410638.21
Masahiro Morikura518463.42