Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

[HTML][HTML] A comprehensive survey on knowledge-defined networking

PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …

Carrier phase ranging for indoor positioning with 5G NR signals

L Chen, X Zhou, F Chen, LL Yang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Indoor positioning is one of the core technologies of Internet of Things (IoT) and artificial
intelligence (AI) and is expected to play a significant role in the upcoming era of AI …

Dependency-aware task scheduling in vehicular edge computing

Y Liu, S Wang, Q Zhao, S Du, A Zhou… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) offers a new paradigm to improve vehicular services and
augment the capabilities of vehicles. In this article, we study the problem of task scheduling …

Deep reinforcement learning based resource management for DNN inference in industrial IoT

W Zhang, D Yang, H Peng, W Wu… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Performing deep neural network (DNN) inference in real time requires excessive network
resources, which poses a big challenge to the resource-limited industrial Internet of things …

[HTML][HTML] An autoencoder and LSTM-based traffic flow prediction method

W Wei, H Wu, H Ma - Sensors, 2019 - mdpi.com
Smart cities can effectively improve the quality of urban life. Intelligent Transportation System
(ITS) is an important part of smart cities. The accurate and real-time prediction of traffic flow …

An AUV-assisted data gathering scheme based on clustering and matrix completion for smart ocean

M Huang, K Zhang, Z Zeng, T Wang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The oceans cover more than 71% of the Earth's surface and have a surging amount of data.
It is of great significance to seek energy-effective and ultrareliable communication and …

Dependency-aware task offloading and service caching in vehicular edge computing

Q Shen, BJ Hu, E Xia - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
With the emergence of computation-intensive vehicular applications, vehicular edge
computing (VEC) offers a new paradigm to augment the capabilities of vehicles. In this …

Deep reinforcement learning approaches for content caching in cache-enabled D2D networks

L Li, Y Xu, J Yin, W Liang, X Li… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) technology suffers from the challenge that rare wireless network
resources are difficult to meet the influx of a huge number of terminal devices. Cache …

Certificate-based anonymous device access control scheme for IoT environment

S Malani, J Srinivas, AK Das… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
As the “Internet communications infrastructure” develops to encircle smart devices, it is very
much essential for designing suitable methods for secure communications with these smart …