Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration
Reported by arXiv cs.AI: Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration. Analysis and context written by TickrWire.
Researchers introduce the Parameter-Efficient Hybrid Transformer (PEHT) for network traffic prediction, integrating urban mobility and congestion information. PEHT is a Transformer-based architecture that separates primary network communication features from secondary urban mobility features.
Accurate network traffic prediction is a critical element for efficient resource allocation in dynamic urban cellular networks. However, prediction remains challenging because network demand is influenced by complex mobility patterns, congestion dynamics, and heterogeneous user behavior. This paper introduces the Parameter-Efficient Hybrid Transformer (PEHT), a network traffic prediction framework that integrates urban mobility and congestion information into a Transformer-based architecture. PEHT separates primary network communication features from secondary urban mobility features and incor
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