A survey on handover and mobility management in 5G HetNets: current state, challenges, and future directions
Fifth-generation (5G) networks offer high-speed data transmission with low latency,
increased base station volume, improved quality of service (QoS), and massive multiple …
increased base station volume, improved quality of service (QoS), and massive multiple …
Enabling proportionally-fair mobility management with reinforcement learning in 5G networks
A Prado, F Stöckeler, F Mehmeti… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Mobility management in 5G is challenging, and at higher frequencies, a larger number of
cells is needed to provide similar coverage to that in 4G. Consequently, Base Stations (BSs) …
cells is needed to provide similar coverage to that in 4G. Consequently, Base Stations (BSs) …
Enabling proportionally fair mobility management in 5G networks
A Prado, F Stöckeler, F Mehmeti… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Mobility management in 5G, especially at higher frequencies, is challenging because the
signal quality fluctuates significantly due to blockages of Line of Sight (LoS), shadowing and …
signal quality fluctuates significantly due to blockages of Line of Sight (LoS), shadowing and …
Mobility management for small cells in 5g ultra-dense wireless network
RQ Shaddad, WGH Al-Barakani… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
One of the most anticipated approaches to overcoming the uncertainty of millimeter wave
(mmWave) network is the deployment of ultra-dense small-cells in future fifth generation …
(mmWave) network is the deployment of ultra-dense small-cells in future fifth generation …
[HTML][HTML] Handover management in beyond 5g hetnet topologies with unbalanced user distribution
The increase in user mobility and density in modern cellular networks increases the risk of
overloading certain base stations in popular locations such as shopping malls or stadiums …
overloading certain base stations in popular locations such as shopping malls or stadiums …
Balanced5G-Fair Traffic Steering Technique using Data-Driven Learning in Beyond 5G Systems
The rapid adoption of the fifth generation (5G) communication systems and increasing data
consumption per device is exponentially growing mobile data traffic. Traffic Steering (TS) …
consumption per device is exponentially growing mobile data traffic. Traffic Steering (TS) …
User Classification and Traffic Steering in O-RAN
R Ntassah, GM Dell'area… - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
The O-RAN architectural framework enables the application of AI/ML techniques for traffic
steering and load balancing. Indeed, an effective steering technique is crucial to avoiding …
steering and load balancing. Indeed, an effective steering technique is crucial to avoiding …
Proportionally fair resource allocation considering geometric blockage modeling for improved mobility management in 5G
A Prado, D Gölitz, F Mehmeti, W Kellerer - Proceedings of the 18th ACM …, 2022 - dl.acm.org
Line of Sight (LoS) blockages are a common occurrence in densely deployed cellular
networks, as is the case with 5G. This leads to a significant deterioration in the signal quality …
networks, as is the case with 5G. This leads to a significant deterioration in the signal quality …
A Fuzzy-Logic-Based Load Balancing Scheme for a Satellite–Terrestrial Integrated Network
Y Gao, H Yang, X Wang, Y Chen, C Li, X Zhang - Electronics, 2022 - mdpi.com
With the development of communication systems, users are becoming more widely
distributed and require higher speed networks. A satellite–terrestrial integrated network …
distributed and require higher speed networks. A satellite–terrestrial integrated network …
Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach
The open radio access network (O-RAN) architecture offers a cost-effective and scalable
solution for internet service providers to optimize their networks using machine learning …
solution for internet service providers to optimize their networks using machine learning …