Deeplora: Learning accurate path loss model for long distance links in lpwan

L Liu, Y Yao, Z Cao, M Zhang - IEEE INFOCOM 2021-IEEE …, 2021 - ieeexplore.ieee.org
LoRa (Long Range) is an emerging wireless technology that enables long-distance
communication and keeps low power consumption. Therefore, LoRa plays a more and more …

CNN-based mmWave path loss modeling for fixed wireless access in suburban scenarios

H Cheng, S Ma, H Lee - IEEE antennas and wireless …, 2020 - ieeexplore.ieee.org
Path loss modeling of millimeter waves is regarded as one of the most challenging problems
in the design of the fifth-generation (5G) mobile communication networks due to the high …

Indoor genetic algorithm-based 5G network planning using a machine learning model for path loss estimation

Y Hervis Santana, R Martinez Alonso, G Guillen Nieto… - Applied Sciences, 2022 - mdpi.com
Accurate wireless network planning is crucial for the deployment of new wireless services.
This usually requires the consecutive evaluation of many candidate solutions, which is only …

Deterministic 5G mmwave large-scale 3D path loss model for Lagos Island, Nigeria

SK Hinga, AA Atayero - IEEE Access, 2021 - ieeexplore.ieee.org
5G millimeter wave (mmWave) application in mobile connectivity to realize high-speed,
reliable communication is attributed with high path loss. This paper presents a detailed 3D …

[PDF][PDF] A Practical Approach to Indoor Path Loss Modeling Based on Deep Learning

S Ma, H Cheng, H Lee - Journal of Computing Science and …, 2021 - jcse.kiise.org
Deep learning has become one of the most powerful prediction approaches, and it can be
used to solve classification and regression problems. We present a novel deep learning …

[PDF][PDF] Prediction of Indoor Wireless Coverage from 3D Floor Plans Using Deep Convolutional Neural Networks.

Y Ansari, N Tiyal, EF Flushing, S Razak - LCN, 2021 - researchgate.net
With significant advancements in Machine Learning and Deep Learning, Convolutional
Neural Networks (CNNs) have shown promising results in handling classification and …

[HTML][HTML] Indoor Positioning Method by CNN-LSTM of Continuous Received Signal Strength Indicator

J Yoon, H Kim, D Lee, S Kwon - Electronics, 2024 - mdpi.com
This paper proposes an indoor positioning method based on Bluetooth Low Energy signals
by Convolution Neural Network-Long Short-Term Memory (CNN-LSTM). The proposed …

IndoorDRaGon: Data-Driven 3D Radio Propagation Modeling for Highly Dynamic 6G Environments

M Geis, H Schippers, M Danger… - … Wireless 2023; 28th …, 2023 - ieeexplore.ieee.org
Private 5G and future 6G networks offer significant potential for automation in vertical
domains but must face the challenge of dynamic and rapid adaptation to new operational …

Path Loss Models in Dense Urban Areas: A study of Lagos Island, Nigeria

SK Hinga, T Ogunfunmi - 2023 28th Asia Pacific Conference on …, 2023 - ieeexplore.ieee.org
Path loss is a major factor affecting the performance of wireless networks in dense urban
areas. This paper investigates the path loss models in Lagos Island, Nigeria, a dense urban …

[图书][B] Low-Power Artificial Intelligence of Things (AIoT) Systems

L Liu - 2023 - search.proquest.com
Abstract Internet-of-Things (IoT) is another excellent innovation after the Internet and mobile
networks in the information era, aiming at connecting billions of end-devices across scales …