Hot or not?
Wearable thermal imaging is emerging as a powerful and increasingly affordable sensing technology. Current thermal imaging solutions are mostly based on uncooled […]
Face Anti-Spoofing via Sample Learning Based Recurrent Neural Network (RNN)
Face biometric systems are vulnerable to spoofing attacks because of criminals who are developing different techniques such as print attack, replay attack, […]
WS₂ and MoS₂ thin film gas sensors with high response to NH₃ in air at low temperature
Transition metal dichalcogenides (TMDs) have received immense research interest in particular for their outstanding electrochemical and optoelectrical properties. Lately, chemical gas sensor […]
Performance Comparison of Alternative Indoor 5G Micro-Operator Deployments in 3.6 GHz and 26 GHz Bands
The fifth generation (5G) networks will provide local high-quality wireless services, especially within indoor areas. New local 5G network operator models, such […]
High-Accuracy Joint Position and Orientation Estimation in Sparse 5G mmWave Channel
With the emergence of new 5G radio networks, high-accuracy positioning solutions are becoming extensively more important for numerous 5G-enabled applications and radio […]
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications
One of the 5G promises is to provide Ultra Reliable Low Latency Communications (URLLC) which targets an end to end communication latency […]
Simulating LoRaWAN
The paper introduces a LoRaWAN simulation model implemented for the Riverbed Modeler (former OPNET modeler suite). First, the key components of the […]
Layered Belief Propagation for Low-Complexity Large MIMO Detection Based on Statistical Beams
This paper proposes a novel layered belief propagation (BP) detector with a concatenated structure of two different BP layers for low-complexity large […]
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications
This paper targets at the problem of radio resource management for expected long-term delay-power tradeoff in vehicular communications. At each decision epoch, […]
Multi-hop Federated Private Data Augmentation with Sample Compression
On-device machine learning (ML) has brought about the accessibility to a tremendous amount of data from the users while keeping their local […]