A hybrid Markov-based model for human mobility prediction
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …
distributions. Predicting human mobility has the potential to enhance location-based …
Measuring the gap between the maximum predictability and prediction accuracy of human mobility
J Guo, S Zhang, J Zhu, R Ni - IEEE Access, 2020 - ieeexplore.ieee.org
It has been claimed that human mobility is highly predictable and an upper bound of 93%
predictability is achievable. However, there is a significant gap between the upper bound of …
predictability is achievable. However, there is a significant gap between the upper bound of …
Diffusion kernel based mobility prediction for wireless users
L Liu, S Zhang, W Zhou, W Cai… - … Intl Conf on Cloud and Big …, 2019 - ieeexplore.ieee.org
The issue about mobility prediction has attracted many researchers from diverse disciplines
due to its critical role in various applications. In this paper, we propose a prediction model …
due to its critical role in various applications. In this paper, we propose a prediction model …
Contributions to the understanding of human mobility and its impact on the improvement of lightweight mobility prediction algorithms
A Rodríguez Carrión - 2015 - e-archivo.uc3m.es
Human mobility is key in fields like urban planning, protocols for mobile networks, or service
personalization, among others. Besides, a large number of studies emerged in the last years …
personalization, among others. Besides, a large number of studies emerged in the last years …
A survey on location management in LTE network
A Choudhury, A Sharma… - … Conference on Trends …, 2017 - ieeexplore.ieee.org
Mobility management in Long Term Evolution (LTE) is different from that in the third
generation mobile telecom networks. In LTE, the Mobility Management Entity (MME) is …
generation mobile telecom networks. In LTE, the Mobility Management Entity (MME) is …