Which Statistical Distribution Best Characterizes Modern Cellular Traffic and What Factors Could Predict Its Spatiotemporal Variability?
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2019.2908370
Abstract: Spatiotemporal characterization of user traffic is the first step in designing, optimizing, and automating a mobile cellular network. While it is well known that voice telephony follows Poisson distribution, the distribution of SMS and Internet… read more here.
Keywords: distribution best; traffic distribution; statistical distribution; cellular traffic ... See more keywords
Spatial-Temporal Attention-Convolution Network for Citywide Cellular Traffic Prediction
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DOI: 10.1109/lcomm.2020.3012279
Abstract: Cellular traffic prediction plays an important role in network management and resource utilization. However, due to the high nonlinearity and dynamic spatial-temporal correlation, it is challenging to obtain the traffic prediction accurately. In this letter,… read more here.
Keywords: convolution; spatial temporal; cellular traffic; traffic ... See more keywords
Time-Wise Attention Aided Convolutional Neural Network for Data-Driven Cellular Traffic Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2021.3078745
Abstract: Recurrent neural network (RNN) based models are widely adopted to capture temporal dependencies in the state-of-the-art approaches for cellular traffic prediction. However, RNN is inefficient and incapable of capturing long-range temporal dependencies of traffic data.… read more here.
Keywords: neural network; time; prediction; cellular traffic ... See more keywords
Data-Augmentation-Based Cellular Traffic Prediction in Edge-Computing-Enabled Smart City
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DOI: 10.1109/tii.2020.3009159
Abstract: With the massive deployment of 5G cellular infrastructures, traffic prediction has become an indispensable part of the cellular resource management system in order to provide reliable and fast communication services that can meet the increasing… read more here.
Keywords: prediction; cellular traffic; city; data augmentation ... See more keywords
Spatial-Temporal Cellular Traffic Prediction for 5G and Beyond: A Graph Neural Networks-Based Approach
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3182768
Abstract: During the past decade, Industry 4.0 has greatly promoted the improvement of industrial productivity by introducing advanced communication and network technologies in the manufacturing process. With the continuous emergence of new communication technologies and networking… read more here.
Keywords: traffic; prediction; cellular network; cellular traffic ... See more keywords
Spatio-Temporal Analysis and Prediction of Cellular Traffic in Metropolis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2018.2870135
Abstract: Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial and valuable to mobile users, wireless carriers, and city authorities. Predicting cellular traffic in modern metropolis is particularly challenging because of the tremendous temporal… read more here.
Keywords: spatio temporal; prediction; cell; cellular traffic ... See more keywords