A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory
The current random access (RA) allocation techniques suffer from congestion and high signaling overhead while serving massive machine type communication (mMTC) applications. […]
Machine type communications
The recently introduced 5G New Radio is the first wireless standard natively designed to support critical and massive machine type communications (MTC). […]
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks
Source traffic prediction is one of the main challenges of enabling predictive resource allocation in machine-type communications (MTC). In this paper, a […]
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications
Scheduling fast uplink grant transmissions for machine type communications (MTCs) is one of the main challenges of future wireless systems. In this […]
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems
Ensuring an effective coexistence of conventional broadband cellular users with machine type communications (MTCs) is challenging due to the interference from MTCs […]
Energy Internet via Packetized Management
This paper investigates the possibility of building the energy Internet via a packetized management of non-industrial loads. The proposed solution is based […]
A directed information learning framework for event-driven M2M traffic prediction
Burst of transmissions stemming from event-driven traffic in machine-type communication (MTC) can lead to congestion of random access resources, packet collisions, and […]
Performance analysis of ultra-reliable short message decode and forward relaying protocols
Machine-type communication (MTC) is a rapidly growing technology which covers a broad range of automated applications and propels the world into a […]