Dual connectivity-based mobility management and data split mechanism in 4G/5G cellular networks
T Mumtaz, S Muhammad, MI Aslam… - Ieee …, 2020 - ieeexplore.ieee.org
The emerging 5G mobile network technology is envisioned to provide an efficient platform to
interconnect machines, objects, and devices in addition to interconnecting people. Equipped …
interconnect machines, objects, and devices in addition to interconnecting people. Equipped …
PBPHS: a profile-based predictive handover strategy for 5G networks
J Sun, Y Zhang, M Trik - Cybernetics and Systems, 2024 - Taylor & Francis
One of the necessities of mobile networks is uninterrupted access to wireless services,
taking into account the requirements of quality of service. With the development of the fifth …
taking into account the requirements of quality of service. With the development of the fifth …
Intelligent dual active protocol stack handover based on double DQN deep reinforcement learning for 5G mmWave networks
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 …
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …
Handover management in 5G and beyond: A topology aware skipping approach
Network densification is foreseen as a potential solution to fulfill the 5G spectral efficiency
requirements. The spectral efficiency is improved by shrinking base stations'(BSs) footprints …
requirements. The spectral efficiency is improved by shrinking base stations'(BSs) footprints …
Artificial intelligence-based handoff management for dense WLANs: A deep reinforcement learning approach
Z Han, T Lei, Z Lu, X Wen, W Zheng, L Guo - IEEE Access, 2019 - ieeexplore.ieee.org
So far, the handoff management involved in the wireless local area network (WLAN) has
mainly fallen into the handoff mechanism and the decision algorithm. The traditional handoff …
mainly fallen into the handoff mechanism and the decision algorithm. The traditional handoff …
An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …
deployment and standardize the upcoming wireless network generation. Artificial …
Deep reinforcement learning for 5G networks: Joint beamforming, power control, and interference coordination
The fifth generation of wireless communications (5G) promises massive increases in traffic
volume and data rates, as well as improved reliability in voice calls. Jointly optimizing …
volume and data rates, as well as improved reliability in voice calls. Jointly optimizing …
Deep learning-based intelligent dual connectivity for mobility management in dense network
Ultra-dense network deployment has been proposed as a key technique for achieving
capacity goals in the fifth-generation (5G) mobile communication system. However, the …
capacity goals in the fifth-generation (5G) mobile communication system. However, the …
Advanced handover self-optimization approach for 4G/5G HetNets using weighted fuzzy logic control
The future fifth generation (5G) wireless communications support the ultra-dense networks
where deployments of a large number of small cells coexist with current 4G networks …
where deployments of a large number of small cells coexist with current 4G networks …
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 …