Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
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 …
Graph neural network-driven traffic forecasting for the connected internet of vehicles
Due to great advances in wireless communication, the connected Internet of vehicles
(CIoVs) has become prevalent. Naturally, internal connections among active vehicles are an …
(CIoVs) has become prevalent. Naturally, internal connections among active vehicles are an …
Recent advances in data-driven wireless communication using gaussian processes: a comprehensive survey
Data-driven paradigms are well-known and salient demands of future wireless
communication. Empowered by big data and machine learning techniques, next-generation …
communication. Empowered by big data and machine learning techniques, next-generation …
Improving Water Quality Index prediction for water resources management plans in Malaysia: application of machine learning techniques
Z Sheikh Khozani, M Iranmehr… - Geocarto …, 2022 - Taylor & Francis
Proper modeling of groundwater quality is an important planning and decision-making tool
in water resources management and environment. Due to the fact that forecasting and …
in water resources management and environment. Due to the fact that forecasting and …
From statistical‐to machine learning‐based network traffic prediction
I Lohrasbinasab, A Shahraki… - Transactions on …, 2022 - Wiley Online Library
Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …
Convolutional long-short term memory network with multi-head attention mechanism for traffic flow prediction
Y Wei, H Liu - Sensors, 2022 - mdpi.com
Accurate predictive modeling of traffic flow is critically important as it allows transportation
users to make wise decisions to circumvent traffic congestion regions. The advanced …
users to make wise decisions to circumvent traffic congestion regions. The advanced …
Traffic prediction-enabled energy-efficient dynamic computing resource allocation in cran based on deep learning
Y Fu, X Wang - IEEE Open Journal of the Communications …, 2022 - ieeexplore.ieee.org
Due to the greatly increased bandwidth of 5G networks compared with that of 4G networks,
the power consumption brought by baseband signal processing of 5G networks is much …
the power consumption brought by baseband signal processing of 5G networks is much …
A mobility aware network traffic prediction model based on dynamic graph attention spatio-temporal network
Z Jin, J Qian, Z Kong, C Pan - Computer Networks, 2023 - Elsevier
Network traffic prediction is a critical research topic in network management and planning.
Due to the growing service requirements and diverse service types, network traffic exhibits …
Due to the growing service requirements and diverse service types, network traffic exhibits …
Frequency-hopping frequency reconnaissance and prediction for non-cooperative communication network
The continuous change of communication frequency brings difficulties to the
reconnaissance and prediction of non-cooperative communication networks. Since the …
reconnaissance and prediction of non-cooperative communication networks. Since the …