Cellular traffic prediction with machine learning: A survey
W Jiang - Expert Systems with Applications, 2022 - Elsevier
Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …
support billions of mobile users and devices. Powered by artificial intelligence techniques …
From 5G to 6G—challenges, technologies, and applications
As the deployment of 5G mobile radio networks gains momentum across the globe, the
wireless research community is already planning the successor of 5G. In this paper, we …
wireless research community is already planning the successor of 5G. In this paper, we …
Computation offloading and resource allocation in MEC-enabled integrated aerial-terrestrial vehicular networks: A reinforcement learning approach
As important services of the future sixth-generation (6G) wireless networks, vehicular
communication and mobile edge computing (MEC) have received considerable interest in …
communication and mobile edge computing (MEC) have received considerable interest in …
[HTML][HTML] Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey
By amalgamating recent communication and control technologies, computing and data
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …
[HTML][HTML] Towards defining industry 5.0 vision with intelligent and softwarized wireless network architectures and services: A survey
Abstract Industry 5.0 vision, a step toward the next industrial revolution and enhancement to
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …
Short-term traffic prediction using deep learning long short-term memory: Taxonomy, applications, challenges, and future trends
This paper surveys the short-term road traffic forecast algorithms based on the long-short
term memory (LSTM) model of deep learning. The algorithms developed in the last three …
term memory (LSTM) model of deep learning. The algorithms developed in the last three …
Industry 5.0 is coming: A survey on intelligent nextG wireless networks as technological enablers
Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry
4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches in …
4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches in …
Split federated learning for 6G enabled-networks: Requirements, challenges and future directions
Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart
services and innovative applications. Such a context urges a heavy usage of Machine …
services and innovative applications. Such a context urges a heavy usage of Machine …
[HTML][HTML] Towards 6G: Key technological directions
Sixth-generation mobile networks (6G) are expected to reach extreme communication
capabilities to realize emerging applications demanded by the future society. This paper …
capabilities to realize emerging applications demanded by the future society. This paper …
Deep reinforcement learning for containerized edge intelligence inference request processing in IoT edge computing
Edge intelligence (EI) refers to a set of connected systems and devices for artificial
intelligence (AI) data collected and learned near the data collection site. The EI model …
intelligence (AI) data collected and learned near the data collection site. The EI model …