Big data analytics for emergency communication networks: A survey
Disaster management is a crucial and urgent research issue. Emergency communication
networks (ECNs) provide fundamental functions for disaster management, because …
networks (ECNs) provide fundamental functions for disaster management, because …
Survey of wireless big data
L Qian, J Zhu, S Zhang - Journal of Communications and …, 2017 - ieeexplore.ieee.org
Wireless big data describes a wide range of massive data that is generated, collected and
stored in wireless networks by wireless devices and users. While these data share some …
stored in wireless networks by wireless devices and users. While these data share some …
Differential privacy preserving of training model in wireless big data with edge computing
With the popularity of smart devices and the widespread use of machine learning methods,
smart edges have become the mainstream of dealing with wireless big data. When smart …
smart edges have become the mainstream of dealing with wireless big data. When smart …
Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach
D López-Pérez, A De Domenico… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
The energy consumption of mobile networks poses a critical challenge. Mitigating this
concern necessitates the deployment and optimization of network energy-saving solutions …
concern necessitates the deployment and optimization of network energy-saving solutions …
A new approach for mobile positioning using the CDR data of cellular networks
Nowadays, mobile devices are equipped with a number of radio transceivers which are
active every day and everywhere. As a result, vast amounts of data and technical logs are …
active every day and everywhere. As a result, vast amounts of data and technical logs are …
Leveraging intelligence from network CDR data for interference aware energy consumption minimization
Cell densification is being perceived as the panacea for the imminent capacity crunch.
However, high aggregated energy consumption and increased inter-cell interference (ICI) …
However, high aggregated energy consumption and increased inter-cell interference (ICI) …
Cellular QoE prediction for video service based on causal structure learning
K Zhang, G Chuai, W Gao, Q Liu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of telecommunication technology and the popularity of intelligent
devices, user experience in cellular network has become the primary factor of concern. At …
devices, user experience in cellular network has become the primary factor of concern. At …
Research on strategies of promoting mental health of higher vocational college students based on data mining
L Yang - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
Since entering the 21st century, my country's education is facing the transition from
traditional exam‐oriented education to quality education and personality education, and the …
traditional exam‐oriented education to quality education and personality education, and the …
Call detail record-based traffic density analysis using global K-means clustering
SC Nair, MS Elayidom… - International Journal of …, 2020 - inderscienceonline.com
With the expanding number of vehicles on the road is creating substantial traffic that is hard
to control and maintain safety, particularly in extensive urban areas. To estimate the traffic …
to control and maintain safety, particularly in extensive urban areas. To estimate the traffic …
Semantic analysis of literary vocabulary based on microsystem and computer aided deep research
L Li, L Cao - Mobile Information Systems, 2021 - Wiley Online Library
It has great advantages in data processing. Embedded microsystems are widely used in IoT
devices because of their specific functions and hard decoding technology. This article adds …
devices because of their specific functions and hard decoding technology. This article adds …