[HTML][HTML] Enhancing handover for 5g mmwave mobile networks using jump Markov linear system and deep reinforcement learning

M Chiputa, M Zhang, GGMN Ali, PHJ Chong, H Sabit… - Sensors, 2022 - mdpi.com
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 …

Intelligent dual active protocol stack handover based on double DQN deep reinforcement learning for 5G mmWave networks

C Lee, J Jung, JM Chung - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The recently proposed dual active protocol stack (DAPS) handover (HO) is one of the
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …

Intelligent handover decision scheme using double deep reinforcement learning

MS Mollel, AI Abubakar, M Ozturk, S Kaijage… - Physical …, 2020 - Elsevier
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 …

Intelligent Handover using User-Mobility Pattern Analysis for 5G Mobile Networks

M Chipta, M Uttarwar… - 2021 Conference on …, 2021 - ieeexplore.ieee.org
Millimeter Waves (mmWaves) offer gigabit data rates in fifth generation (5G) mobile
networks. The challenge however is mmWaves are highly sensitive to user mobility and …

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 …

Deep reinforcement learning based handover management for millimeter wave communication

M Mollel, S Kaijage, K Michael - 2021 - 41.59.85.213
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 …

5G mmWave Multiple Active Protocol Stack Optimized Deep Learning Handover

J Baik, C Lee, J Jung, JM Chung - IEEE Wireless …, 2022 - ieeexplore.ieee.org
To maintain seamless real-time connectivity for 5G applications, various handover (HO)
schemes that can support a near-zero mobility interruption time (MIT) have been proposed …

Prediction-based conditional handover for 5G mm-wave networks: A deep-learning approach

C Lee, H Cho, S Song, JM Chung - IEEE Vehicular Technology …, 2020 - ieeexplore.ieee.org
Conditional handover (CHO) is one of several promising mobility enhancements in 5G
networks. By making preparation decisions earlier than in LTE HO, CHO can provide an …

Pattern Based Mobility Management in 5G Networks With a Game Theoretic-Jump Markov Linear System Approach

M Chiputa, M Zhang, PHJ Chong - IEEE Access, 2023 - ieeexplore.ieee.org
The fifth generation (5G) mobile communication adopted the usage of Millimeter Wave
(mmWave) bands to ignite prospects of gigabit data rates in mobile networks. However …

Reinforcement learning for user association and handover in mmwave-enabled networks

A Alizadeh, M Vu - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Using a multi-armed bandit technique, we propose centralized and semi-distributed online
algorithms for load balancing user association and handover in mmWave-enabled networks …