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Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks
Source traffic prediction is one of the main challenges of enabling pred...
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Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems
In this paper, a novel approach based on the concept of opportunistic sp...
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Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning
Autonomous connected vehicles (ACVs) rely on intra-vehicle sensors such ...
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Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications
Scheduling fast uplink grant transmissions for machine type communicatio...
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A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction
Burst of transmissions stemming from event-driven traffic in machine typ...
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Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities
The notion of a fast uplink grant is emerging as a promising solution fo...
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Samad Ali
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