A survey on the handover management in 5G-NR cellular networks: aspects, approaches and challenges
With the purpose of providing higher data rate and ultra-reliable and low-latency
communications for the users, employing the small cells in the upcoming Fifth-Generation …
communications for the users, employing the small cells in the upcoming Fifth-Generation …
Mobility aware and dynamic migration of MEC services for the Internet of Vehicles
I Labriji, F Meneghello, D Cecchinato… - … on Network and …, 2021 - ieeexplore.ieee.org
Vehicles are becoming connected entities, and with the advent of online gaming, on
demand streaming and assisted driving services, are expected to turn into data hubs with …
demand streaming and assisted driving services, are expected to turn into data hubs with …
Mobility prediction: A survey on state-of-the-art schemes and future applications
H Zhang, L Dai - IEEE access, 2018 - ieeexplore.ieee.org
Recently, mobility has gathered tremendous interest as the users' desire for consecutive
connections and better quality of service has increased. An accurate prediction of user …
connections and better quality of service has increased. An accurate prediction of user …
Dynamic resource allocation exploiting mobility prediction in mobile edge computing
In 5G mobile networks, computing and communication converge into a single concept. This
convergence leads to introduction of Mobile Edge Computing, where computing resources …
convergence leads to introduction of Mobile Edge Computing, where computing resources …
Mobility management in emerging ultra-dense cellular networks: A survey, outlook, and future research directions
The exponential rise in mobile traffic originating from mobile devices highlights the need for
making mobility management in future networks even more efficient and seamless than ever …
making mobility management in future networks even more efficient and seamless than ever …
[HTML][HTML] Unveiling large-scale commuting patterns based on mobile phone cellular network data
A Hadachi, M Pourmoradnasseri… - Journal of Transport …, 2020 - Elsevier
In this study, with Estonia as an example, we established an approach based on Hidden
Markov Model to extract large-scale commuting patterns at different geographical levels …
Markov Model to extract large-scale commuting patterns at different geographical levels …
Overview of evolutionary algorithms and neural networks for modern mobile communication
The sixth generation (6G) of mobile networks must support the huge growth of mobile
connections and provides various intelligent services in future mobile networks. For that …
connections and provides various intelligent services in future mobile networks. For that …
Prediction-based spectrum management in cognitive radio networks
Cognitive radio networks (CRNs) have been widely studied to improve spectrum utilization
through a dynamic spectrum allocation scheme. However, many challenges remain and one …
through a dynamic spectrum allocation scheme. However, many challenges remain and one …
Unraveling traveler mobility patterns and predicting user behavior in the Shenzhen metro system
C Yang, F Yan, SV Ukkusuri - Transportmetrica A: Transport …, 2018 - Taylor & Francis
Over the last few years, cities have made available large volumes of smart card data that
shed light on the urban dynamics of transit users. This research uses metro card data from …
shed light on the urban dynamics of transit users. This research uses metro card data from …
Task migration optimization for guaranteeing delay deadline with mobility consideration in mobile edge computing
Mobile edge computing (MEC) is envisioned to integrate cloud-like capabilities into the edge
of networks for improving quality of service (QoS). This makes it possible for users with …
of networks for improving quality of service (QoS). This makes it possible for users with …