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

Author:

Koda YusukeORCID,Nakashima KotaORCID,Yamamoto KojiORCID,Nishio TakayukiORCID,Morikura MasahiroORCID

Funder

JSPS KAKENHI

KDDI Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Cited by 49 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comprehensive Survey on Machine Learning Methods for Handover Optimization in 5G Networks;Electronics;2024-08-14

2. Cooperative Sensing of Side Lobes Interference for mmWave Blockages Localization and Mapping;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03

3. Semantic-Aware Vision-Assisted Integrated Sensing and Communication: Architecture and Resource Allocation;IEEE Wireless Communications;2024-06

4. COPILOT: Cooperative Perception using Lidar for Handoffs between Road Side Units;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

5. Toward B5G/6G Connected Autonomous Vehicles: O-RAN-Driven Millimeter-Wave Beam Management and Handover Management;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

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