Big data and machine learning driven handover management and forecasting

LP Tung, BSP Lin - 2017 IEEE Conference on Standards for …, 2017 - ieeexplore.ieee.org
Handover (HO), as a key aspect of mobility management, plays an important role in
improving network quality and mobility performance in mobile networks. Especially, in 5G …

A survey on applications of deep reinforcement learning in resource management for 5G heterogeneous networks

YL Lee, D Qin - 2019 Asia-Pacific Signal and Information …, 2019 - ieeexplore.ieee.org
Heterogeneous networks (HetNets) have been regarded as the key technology for fifth
generation (5G) communications to support the explosive growth of mobile traffics. By …

Hierarchical deep q-learning based handover in wireless networks with dual connectivity

PE Iturria-Rivera, M Elsayed, M Bavand… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
5G New Radio proposes the usage of frequencies above 10 GHz to speed up LTE's existent
maximum data rates. However, the effective size of 5G antennas and consequently its …

Autonomous traffic offloading in heterogeneous ultra-dense networks using machine learning

L Wang, C Yang, RQ Hu - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
The scarcity of network resources and the contention between resources and traffic volume
have been the most critical network performance bottlenecks due to the booming growth of …

[PDF][PDF] Reinforcement Learning-Based Optimization for Drone Mobility in 5G and Beyond Ultra-Dense Networks.

J Tanveer, A Haider, R Ali… - Computers, Materials & …, 2021 - pdfs.semanticscholar.org
Drone applications in 5th generation (5G) networks mainly focus on services and use cases
such as providing connectivity during crowded events, human-instigated disasters …

Intelligent recommendation-based user plane handover with enhanced TCP throughput in ultra-dense cellular networks

Y Peng, Y Zhou, L Liu, J Li, Z Pan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In ultra-dense cellular networks (UDNs) with user/control plane (U/C) splitting, frequent
handovers in user planes are unavoidable, which seriously degrades the transmission …

SDN/NFV‐based handover management approach for ultradense 5G mobile networks

A Gharsallah, F Zarai, M Neji - International Journal of …, 2019 - Wiley Online Library
With the great increase of connected devices and new types of applications, mobile
networks are witnessing exponential growth of traffic volume. To meet emerging …

A user mobility prediction method to reduce unnecessary handover for ultra dense network

R Shi, Y Peng, L Zhang - 2019 28th Wireless and Optical …, 2019 - ieeexplore.ieee.org
Next generation wireless cellular networks will be ultra dense network (UDN) to increase
system capacity through spatial reuse in a hot spot, but with the cost of increasing handover …

[PDF][PDF] Vertical Handoff Algorithm Based on Type-2 Fuzzy Logic in Heterogeneous Networks.

B Ma, X Liao, X Xie - J. Softw., 2013 - jsoftware.us
Currently, to ensure seamless roam across heterogeneous wireless technologies, efficient
vertical handoff algorithms are required to enhance QoS and offer reliable pervasive …

A collaborative optimization strategy for computing offloading and resource allocation based on multi-agent deep reinforcement learning

Y Jiang, Y Mao, G Wu, Z Cai, Y Hao - Computers and Electrical …, 2022 - Elsevier
With the emergence of mobile edge computing (MEC), the edge cloud with certain
computing power is deployed closer to the mobile device, which can well solve the …