Mobile traffic prediction in consumer applications: a multimodal deep learning approach
W Jiang, Y Zhang, H Han, Z Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile traffic prediction is an important yet challenging problem in consumer applications
because of the dynamic nature of user behavior, varying application quality of service (QoS) …
because of the dynamic nature of user behavior, varying application quality of service (QoS) …
TactiFlex: A Federated learning-enhanced in-content aware resource allocation flexible architecture for Tactile IoT in 6G networks
O Alnajar, A Barnawi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Abstract The Tactile Internet of Things (TIoT) is transforming the landscape of real-time
applications by enabling haptic interactions and immersive experiences. This paper …
applications by enabling haptic interactions and immersive experiences. This paper …
Joint delay and energy aware dragonfly optimization‐based uplink resource allocation scheme for LTE‐A networks in a cross‐layer environment
The exponential growth in data traffic from smart devices has led to a need for highly
capable wireless networks with faster data transmission rates and improved spectral …
capable wireless networks with faster data transmission rates and improved spectral …
A Proactive Model for Intrusion Detection Using Image Representation of Network Flows
Many interconnected IoT devices driven by imperatives of efficiency and convenience often
lack adequate security measures, making them susceptible to exploitation by cyber …
lack adequate security measures, making them susceptible to exploitation by cyber …
[HTML][HTML] A BiGRU Model Based on the DBO Algorithm for Cloud-Edge Communication Networks
Z Zha, J He, L Zhen, M Yu, C Dong, Z Li, G Wu, H Zuo… - Applied Sciences, 2024 - mdpi.com
With the development of IoT technology, central cloud servers and edge-computing servers
together form a cloud–edge communication network to meet the increasing demand for …
together form a cloud–edge communication network to meet the increasing demand for …
A Transformer Based Classified Traffic Prediction Scheme for Energy Digital Twin Network
Z Sha, C Sun, S Wei, R Huo… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the development of new energy technologies and business models, the operation and
monitoring methods of the Energy Internet (EI) have changed. The Energy Digital Twin …
monitoring methods of the Energy Internet (EI) have changed. The Energy Digital Twin …
Graph Fick's Neural Networks for Traffic Prediction and Resource Allocation in 6G Wireless Systems
ABV Louis, MS Maharajan… - Library Progress …, 2024 - bpasjournals.com
With previously unheard-of speed, capacity, and intelligence, 6G systems have the potential
to completely transform connectivity in the rapidly changing wireless communication market …
to completely transform connectivity in the rapidly changing wireless communication market …