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 …
Enhancing handover for 5g mmwave mobile networks using jump Markov linear system and deep reinforcement learning
The Fifth Generation (5G) mobile networks use millimeter waves (mmWaves) to offer gigabit
data rates. However, unlike microwaves, mmWave links are prone to user and topographic …
data rates. However, unlike microwaves, mmWave links are prone to user and topographic …
Double‐deep Q‐learning‐based handover management in mmWave heterogeneous networks with dual connectivity
H Wang, B Li - Transactions on Emerging Telecommunications …, 2024 - Wiley Online Library
Millimeter wave (mmWave) technology, with its abundant spectrum resources and ultra‐high
bandwidth, plays a crucial role in meeting the ultra‐high throughput requirements of future …
bandwidth, plays a crucial role in meeting the ultra‐high throughput requirements of future …
Context-aware handover in mmWave 5G using UE's direction of pass
By 2020, the global mobile data traffic will reach 30.6 exabytes per month. Hence,
microwave bands will become saturated and insufficient to deliver that increment of data …
microwave bands will become saturated and insufficient to deliver that increment of data …
Dealing with limited backhaul capacity in millimeter-wave systems: A deep reinforcement learning approach
Millimeter-wave (mmWave) communication is a key technology of fifth generation wireless
systems to achieve the expected 1000x data rate. With large bandwidth at the mmWave …
systems to achieve the expected 1000x data rate. With large bandwidth at the mmWave …
Intelligent handover decision scheme using double deep reinforcement learning
Handovers (HOs) have been envisioned to be more challenging in 5G networks due to the
inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station …
inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station …
[HTML][HTML] A novel handover scheme for millimeter wave network: An approach of integrating reinforcement learning and optimization
R Wang, Y Sun, C Zhang, B Yang, M Imran… - Digital Communications …, 2023 - Elsevier
The millimeter-Wave (mmWave) communication with the advantages of abundant bandwidth
and immunity to interference has been deemed a promising technology to greatly improve …
and immunity to interference has been deemed a promising technology to greatly improve …
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 …
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 …
Optimal handover policy for mmWave cellular networks: A multi-armed bandit approach
Millimeter wave (mmWave) is a promising technology in 5G communication due to its
abundant bandwidth re-source. However, its severe path attenuation and vulnerability to line …
abundant bandwidth re-source. However, its severe path attenuation and vulnerability to line …