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Found 6 papers, 3 papers with code
Cellular Traffic Prediction Using Online Prediction Algorithms
We examine the performance of these algorithms under two distinct data gathering methodologies: synchronous, where all network cells report statistics simultaneously, and asynchronous, where reporting occurs across consecutive time slots.
RACH Traffic Prediction in Massive Machine Type Communications
Consequently, there is a compelling imperative to design a lightweight and agile framework capable of assimilating continuously collected data from the network and accurately forecasting bursty traffic in mMTC networks.
Attenuation of Several Common Building Materials in Millimeter-Wave Frequency Bands: 28, 73 and 91 GHz
Typical building material attenuations in these high frequency ranges are of interest for link budget calculations.
Joint Power Allocation in Interference-Limited Networks via Distributed Coordinated Learning
The deployment of ultra-dense networks is one of the main methods to meet the 5G data rate requirements.
Signal Processing
Self-Organizing mmWave Networks : A Power Allocation Scheme Based on Machine Learning
To address this difficulty, we propose a self-organizing method to allocate power to mmWave BSs in an ultra dense network.
Signal Processing
A Machine Learning Approach for Power Allocation in HetNets Considering QoS
However, as the density of the network increases so does the complexity of such resource allocation methods.
Information Theory Information Theory
