35 citations · 75 across the 7 of their papers we have counts for
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cs.NI2022★ 21 cited
Traffic Prediction and Fast Uplink for Hidden Markov IoT Models
Eslam Eldeeb, Mohammad Shehab, Anders E. Kalor +2
In this work, we present a novel traffic prediction and fast uplink framework for IoT networks controlled by binary Markovian events. First, we apply the forward algorithm with hid…
cs.NI2021★ 35 cited
A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory
Eslam Eldeeb, Mohammad Shehab, Hirley Alves
The current random access (RA) allocation techniques suffer from congestion and high signaling overhead while serving massive machine type communication (mMTC) applications. To thi…