Graph neural network for traffic forecasting: The research progress
Traffic forecasting has been regarded as the basis for many intelligent transportation system
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …
Forecasting network traffic: A survey and tutorial with open-source comparative evaluation
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …
as a tutorial to the topic. We examine works based on autoregressive moving average …
Where would i go next? large language models as human mobility predictors
Accurate human mobility prediction underpins many important applications across a variety
of domains, including epidemic modelling, transport planning, and emergency responses …
of domains, including epidemic modelling, transport planning, and emergency responses …
ML-based pre-deployment SDN performance prediction with neural network boosting regression
Software defined networking (SDN) has been proposed as an effective approach to improve
network management efficiency and increase network intelligence in various networks …
network management efficiency and increase network intelligence in various networks …
Spatial–temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks
Balancing network traffic among base stations poses a primary challenge for mobile
operators because of the escalating demand for enhanced data speeds in large-scale 5G …
operators because of the escalating demand for enhanced data speeds in large-scale 5G …
At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
Building transportation foundation model via generative graph transformer
In recent years, researchers have made notable advancements in various disciplines using
large-scale foundation models. However, foundation models in the transportation system …
large-scale foundation models. However, foundation models in the transportation system …
Internet traffic prediction with distributed multi-agent learning
Internet traffic prediction has been considered a research topic and the basis for intelligent
network management and planning, eg, elastic network service provision and content …
network management and planning, eg, elastic network service provision and content …
Multiple access techniques for intelligent and multi-functional 6G: Tutorial, survey, and outlook
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …
make use of the resource dimensions to serve multiple users/devices/machines/services …
A spatial-temporal transformer network for city-level cellular traffic analysis and prediction
With the accelerated popularization of 5G applications, accurate cellular traffic prediction is
becoming increasingly important for efficient network management. Currently, the latest …
becoming increasingly important for efficient network management. Currently, the latest …