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Found 13 papers, 0 papers with code
Distributed Reconfigurable Intelligent Surfaces for Energy Efficient Indoor Terahertz Wireless Communications
Furthermore, we propose a distributed RISs framework (DRF) to assist the indoor THz wireless communication to achieve overall energy efficiency.
Wi-Fi and Bluetooth Contact Tracing Without User Intervention
Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices.
Passive Indoor Localization with WiFi Fingerprints
This paper proposes passive WiFi indoor localization.
Joint Time and Power Allocation for 5G NR Unlicensed Systems
The fifth-generation (5G) and beyond networks are designed to efficiently utilize the spectrum resources to meet various quality of service (QoS) requirements.
Meteorologically Introduced Impacts on Aerial Channels and UAV Communications
As 5G wireless systems and networks are now being globally commercialized and deployed, more diversified application scenarios are emerging, quickly reshaping our societies and paving the road to the beyond 5G (6G) era when terahertz (THz) and unmanned aerial vehicle (UAV) communications may play critical roles.
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
We propose a novel image based localization system using graph neural networks (GNN).
Universal Activation Function For Machine Learning
This article proposes a Universal Activation Function (UAF) that achieves near optimal performance in quantification, classification, and reinforcement learning (RL) problems.
QoS-Compliant 3D Deployment Optimization Strategy for UAV Base Stations
Although there has been quite some prior research on the UAV deployment, no work has studied this problem in a 3 dimensional (3D) setting and taken into account the UAV-BS capacity limit and the quality of service (QoS) requirements of ground users.
Deep Q-Network Based Dynamic Movement Strategy in a UAV-Assisted Network
Then a deep Q-network (DQN) based method is proposed to adjust the locations of UAVs to maximize the sum data rate of the user equipment (UE).
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization.
Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
In contrast, SSP leverages the information of the previous position to determine the probable location since the user's speed in an indoor environment is bounded and locations near the previous one have higher probability than the other locations.
Omni SCADA Intrusion Detection Using Deep Learning Algorithms
We investigate deep learning based omni intrusion detection system (IDS) for supervisory control and data acquisition (SCADA) networks that are capable of detecting both temporally uncorrelated and correlated attacks.
Recurrent Neural Networks For Accurate RSSI Indoor Localization
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi.
