Base station prediction and proactive mobility management in virtual cells using recurrent neural networks
DS Wickramasuriya, CA Perumalla… - 2017 IEEE 18th …, 2017 - ieeexplore.ieee.org
Multicell cooperation in 5G next-generation wireless networks is essential to increasing
multiuser channel capacity. Multiple base stations need to coherently process their …
multiuser channel capacity. Multiple base stations need to coherently process their …
Predicting a user's next cell with supervised learning based on channel states
Knowing a user's next cell allows more efficient resource allocation and enables new
location-aware services. To anticipate the cell a user will hand-over to, we introduce a new …
location-aware services. To anticipate the cell a user will hand-over to, we introduce a new …
Selection of UE-based virtual small cell base stations using affinity propagation clustering
P Swain, C Christophorou… - … & Mobile Computing …, 2018 - ieeexplore.ieee.org
5G will require a number of Key Technological Components to meet its very ambitious goals,
including Heterogeneous Networks a nd Small Cells. The Dense Deployme nt of Small Cell …
including Heterogeneous Networks a nd Small Cells. The Dense Deployme nt of Small Cell …
Deep learning based hotspot prediction and beam management for adaptive virtual small cell in 5G networks
To meet the extremely stringent but diverse requirements of 5G, cost-effective network
deployment and traffic-aware adaptive utilization of network resources are becoming …
deployment and traffic-aware adaptive utilization of network resources are becoming …
Virtual cell-based mobility enhancement and performance evaluation in ultra-dense networks
N Meng, H Zhang, H Lu - 2016 IEEE Wireless Communications …, 2016 - ieeexplore.ieee.org
Future mobility management is expected to provide high data rate, low delay, and dense
deployment to offer seamless coverage. As a main issue for the future network, Ultra-Dense …
deployment to offer seamless coverage. As a main issue for the future network, Ultra-Dense …
A survey on next-cell prediction in cellular networks: Schemes and applications
L Huang, L Lu, W Hua - IEEE Access, 2020 - ieeexplore.ieee.org
Mobility prediction is a powerful tool for network operators to optimize network performance.
From cell level, if network operators know the cells to which the users will be connected in …
From cell level, if network operators know the cells to which the users will be connected in …
Efficient 3D aerial base station placement considering users mobility by reinforcement learning
This paper considers an aerial base station (aerial-BS) assisted terrestrial network where
user mobility is taken into account. User movement changes the network dynamically which …
user mobility is taken into account. User movement changes the network dynamically which …
User's mobility history-based mobility prediction in LTE femtocells network
NA Amirrudin, SHS Ariffin… - … International RF and …, 2013 - ieeexplore.ieee.org
Seamless and fast handover is one of main goals in Long Term Evolution (LTE) in
supporting mobility and maintaining user's quality of services. Mobility prediction is a …
supporting mobility and maintaining user's quality of services. Mobility prediction is a …
Fast cell discovery in mm-wave 5G networks with context information
The exploitation of mm-wave bands is one of the key-enabler for 5G mobile radio networks.
However, the introduction of mm-wave technologies in cellular networks is not …
However, the introduction of mm-wave technologies in cellular networks is not …
User-centric virtual cell design for cloud radio access networks
The revolutionary Cloud Radio Access Network (C-RAN) enables real-time physical-layer
coordination over a large number of distributed remote radio heads (RRHs). Connected via …
coordination over a large number of distributed remote radio heads (RRHs). Connected via …