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 …
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 …
Machine learning assisted handover and resource management for cellular connected drones
Cellular connectivity for drones comes with a wide set of challenges as well as opportunities.
Communication of cellular-connected drones is influenced by 3-dimensional mobility and …
Communication of cellular-connected drones is influenced by 3-dimensional mobility and …
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 …
Spatial and temporal contextual multi-armed bandit handovers in ultra-dense mmWave cellular networks
Although millimeter wave (mmWave) is a promising technology in 5G communication, its
severe path attenuation and susceptibility to line-of-sight (LOS) blockage result in much …
severe path attenuation and susceptibility to line-of-sight (LOS) blockage result in much …
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 …
Deep learning-based predictive beam management for 5G mmWave systems
AÖ Kaya, H Viswanathan - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Periodic measurement reporting based beam management is not sufficiently agile for 5G
New Radio (NR) and comes with significant overhead that scales with the number of beams …
New Radio (NR) and comes with significant overhead that scales with the number of beams …
Efficient handover mechanism for radio access network slicing by exploiting distributed learning
Network slicing is identified as a fundamental architectural technology for future mobile
networks since it can logically separate networks into multiple slices and provide tailored …
networks since it can logically separate networks into multiple slices and provide tailored …