Mobility prediction at the tactical edge: A handover for centralized/decentralized networks

M Von Rechenberg, JF Loevenich… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper presents a mobility prediction model as part of a handover mechanism
combining centralized and decentralized network control to improve performance and …

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 …

Deep mobile path prediction with shift-and-join and carry-ahead

H Yang, SM Raza, M Kim… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Importance of user mobility has rapidly increased in 5G due to reduced cell sizes,
management of Multi-access Edge Computing (MEC), and ultra-low latency services …

A Joint Communication and Computation Framework for Digital Twin over Wireless Networks

Z Yang, M Chen, Y Liu, Z Zhang - IEEE journal of selected …, 2023 - ieeexplore.ieee.org
In this paper, the problem of low-latency communication and computation resource
allocation for digital twin (DT) over wireless networks is investigated. In the considered …

Analysis and evaluation of a wired/wireless hybrid architecture for distributed control systems with mobility requirements

Z Fernandez, O Seijo, M Mendicute, I Val - IEEE Access, 2019 - ieeexplore.ieee.org
Wireless communications offer significant benefits over wired communications, which has
increased their popularity in industrial applications. Nevertheless, the existing wireless …

An adaptive learning-based approach for vehicle mobility prediction

L Irio, A Ip, R Oliveira, M Luís - IEEE Access, 2021 - ieeexplore.ieee.org
This work presents an innovative methodology to predict the future trajectories of vehicles
when its current and previous locations are known. We propose an algorithm to adapt the …

VHMM-based E-ADR for LoRaWAN networks with unknown mobility patterns

N Benkahla, H Tounsi, YQ Song… - … and Mobile Computing …, 2021 - ieeexplore.ieee.org
Long Range Wide Area Network (LoRaWAN) introduces the Adaptive Data rate (ADR)
mechanism [1] aiming to maximize both battery life of the end-devices and overall network …

[HTML][HTML] A deep stochastical and predictive analysis of users mobility based on Auto-Regressive processes and pairing functions

P Fazio, M Mehic, M Voznak - Journal of Network and Computer …, 2020 - Elsevier
With the proliferation of connected vehicles, new coverage technologies and colossal
bandwidth availability, the quality of service and experience in mobile computing play an …

[HTML][HTML] Context-based caching in mobile information-centric networks

L Leira, M Luís, S Sargento - Computer Communications, 2022 - Elsevier
Wireless networking is expected to sustain the direct interaction between personal users'
devices, and to provide connectivity on large-scale resource-constrained devices. However …

Mobility prediction for random walk mobility model using ARIMA in mobile ad hoc networks

P Theerthagiri - The Journal of Supercomputing, 2022 - Springer
This study offers an autoregressive integrated moving average (ARIMA)-based mobility
prediction model for forecasting a node's future mobility speed in mobile ad hoc networks …