Joint Demand Forecasting and DQN-Based Control for Energy-Aware Mobile Traffic Offloading
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985679
Abstract: With the explosive growth in demand for mobile traffic, one of the promising solutions is to offload cellular traffic to small base stations for better system efficiency. Due to increasing system complexity, network operators are… read more here.
Keywords: demand forecasting; traffic offloading; aware mobile; mobile traffic ... See more keywords
Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3361037
Abstract: 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) requirements, network congestion, and proliferation of diverse mobile devices.… read more here.
Keywords: mobile traffic; consumer applications; prediction; traffic prediction ... See more keywords
Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2020.3020582
Abstract: With the rapid development of mobile cellular technologies and the increasing popularity of mobile and Internet of Things (IoT) devices, timely mobile traffic forecasting with high accuracy becomes more and more critical for proactive network… read more here.
Keywords: network; collaborative global; traffic; prediction ... See more keywords
Spatio-Temporal Knowledge Driven Diffusion Model for Mobile Traffic Generation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3527966
Abstract: Generating mobile traffic in urban environments is important for network planning and optimization. However, existing models show weakness in capturing spatial-temporal dynamics between mobile traffic and urban environments. This makes it difficult for the models… read more here.
Keywords: mobile traffic; knowledge; generation; diffusion model ... See more keywords
MTP-NT: A Mobile Traffic Predictor Enhanced by Neighboring and Transportation Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2024.3488568
Abstract: The development of techniques able to forecast the mobile network traffic in a city can feed data driven applications, as Virtual Network Functions (VNF) orchestrators, optimizing the resource allocation and increasing the capacity of mobile… read more here.
Keywords: mobile traffic; predictor enhanced; network; traffic predictor ... See more keywords