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20182020
most citedProactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks

93 citations · 95 across the 4 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

eess.SP2019

Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks

Kota Nakashima, Shotaro Kamiya, Kazuki Ohtsu +3

Last year, IEEE 802.11 Extremely High Throughput Study Group (EHT Study Group) was established to initiate discussions on new IEEE 802.11 features. Coordinated control methods of t…

cs.NI2019

Handover Management for mmWave Networks with Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning

Yusuke Koda, Kota Nakashima, Koji Yamamoto +2

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…