Multi-agent deep reinforcement learning for distributed handover management in dense mmWave networks
The dense deployment of millimeter wave small cells combined with directional
beamforming is a promising solution to enhance the network capacity of the current …
beamforming is a promising solution to enhance the network capacity of the current …
Learning-based load balancing handover in mobile millimeter wave networks
S Khosravi, HS Ghadikolaei… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is a promising solution to the high data rate
demands in the upcoming 5G and beyond communication networks. When it comes to …
demands in the upcoming 5G and beyond communication networks. When it comes to …
Cooperative sensing in deep RL-based image-to-decision proactive handover for mmWave networks
Y Koda, K Nakashima, K Yamamoto… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
For reliable millimeter-wave (mmWave) networks, this paper proposes cooperative sensing
with multi-camera operation in an image-to-decision proactive handover framework that …
with multi-camera operation in an image-to-decision proactive handover framework that …
Enabling efficient blockage-aware handover in RIS-assisted mmWave cellular networks
L Jiao, P Wang, A Alipour-Fanid… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, networks operate at frequencies over 28 GHz (mmWave) have emerged as a
viable solution for 5G mobile networks to provide Gbps data rate. Due to the high directivity …
viable solution for 5G mobile networks to provide Gbps data rate. Due to the high directivity …
Deep reinforcement learning based handover management for millimeter wave communication
The Millimeter Wave (mm-wave) band has a broad-spectrum capable of transmitting multi-
gigabit per-second date-rate. However, the band suffers seriously from obstruction and high …
gigabit per-second date-rate. However, the band suffers seriously from obstruction and high …
Multi-user position based on trajectories-aware handover strategy for base station selection with multi-agent learning
This paper presents the optimal Base Station (BS) selection method for proactive decision
handover (HO) in Millimeter-wave (mm-wave) wireless communication. Mm-wave spectrum …
handover (HO) in Millimeter-wave (mm-wave) wireless communication. Mm-wave spectrum …
Federated learning based proactive handover in millimeter-wave vehicular networks
K Qi, T Liu, C Yang - 2020 15th IEEE International Conference …, 2020 - ieeexplore.ieee.org
Proactive handover can avoid frequent handovers and reduce handover delay, which plays
an important role in maintaining the quality of service (QoS) for mobile users in millimeter …
an important role in maintaining the quality of service (QoS) for mobile users in millimeter …
Handover management for mmWave networks with proactive performance prediction using camera images and deep reinforcement learning
Y Koda, K Nakashima, K Yamamoto… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
For millimeter-wave networks, this paper presents a paradigm shift for leveraging time-
consecutive camera images in handover decision problems. While making handover …
consecutive camera images in handover decision problems. While making handover …
Reinforcement learning based predictive handover for pedestrian-aware mmWave networks
This paper discusses the optimal decision-making for predictive handover in millimeter-
wave (mmWave) communication networks using information of pedestrian movement. In …
wave (mmWave) communication networks using information of pedestrian movement. In …
Learning-based handover in mobile millimeter-wave networks
S Khosravi, H Shokri-Ghadikolaei… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is considered as a key enabler of ultra-high data
rates in the future cellular and wireless networks. The need for directional communication …
rates in the future cellular and wireless networks. The need for directional communication …
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