[HTML][HTML] M-RL: A mobility and impersonation-aware IDS for DDoS UDP flooding attacks in IoT-Fog networks

S Javanmardi, M Ghahramani, M Shojafar, M Alazab… - Computers & …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has recently received a lot of attention from the
information and communication technology community. It has turned out to be a crucial …

Comparative characterization of indoor VLC and MMW communications via ray tracing simulations

F Aghaei, HB Eldeeb, L Bariah, S Muhaidat… - IEEE …, 2023 - ieeexplore.ieee.org
The demand for ultra-high-speed indoor wireless connectivity is ever-increasing, which
poses unique challenges for the next generation wireless communication system design …

[HTML][HTML] Adaptive cell selection algorithm for balancing cell loads in 5G heterogeneous networks

E Gures, I Shayea, M Sheikh, M Ergen… - Alexandria Engineering …, 2023 - Elsevier
Heterogeneous networks (HetNets) are a promising solution for managing the exponential
increase in the number of mobile users while maintaining high data rates and coverage …

[HTML][HTML] A comparative study of machine learning-based load balancing in high-speed train system

E Gures, I Yazici, I Shayea, M Sheikh, M Ergen… - Alexandria Engineering …, 2023 - Elsevier
With the rapid developments of fifth generation (5G) mobile communication networks in
recent years, different use cases can now significantly benefit from 5G networks. One such …

5G mmWave Network Planning Using Machine Learning for Path Loss Estimation

YH Santana, RM Alonso, GG Nieto… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
New frequency bands, such as the mmWave at 28 GHz for fifth Generation networks in
Frequency Range 2, are being introduced to accomplish the required throughput for new …

A deep learning-based indoor radio estimation method driven by 2.4 GHz ray-tracing data

C Pyo, H Sawada, T Matsumura - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents a novel method for estimating received signal strength (RSS) in indoor
radio propagation using a deep learning approach. The proposed method utilizes a training …

Machine learning-assisted calibration for ray-tracing channel simulation at centimeter-wave and millimeter-wave bands

C Yi, W Chen, Q Wu, H Wang - IEEE Antennas and Wireless …, 2024 - ieeexplore.ieee.org
Ray-tracing (RT) channel simulation is widely used in channel modeling and prediction. The
electrical parameters of multiple types of materials play an important role in the accuracy …

Deep learning for path loss prediction at 7 GHz in urban environment

TT Nguyen, N Yoza-Mitsuishi, R Caromi - IEEE Access, 2023 - ieeexplore.ieee.org
In the spectrum sharing band, unlicensed devices are managed by automated frequency
coordination (AFC) systems to protect incumbent services from interference. Thus, it is …

Path Clustering for Radio Propagation Prediction with Moving Object in Indoor Environment

M Shirakaway, R Furukawa, G Ching, K Horihata… - IEEE …, 2024 - ieeexplore.ieee.org
To simulate radio propagation in a dynamic indoor environment such as a factory operating
with moving people and automated guided vehicles (AGV), we devised a technique to …

Effects of crowd density on radio propagation at 24 GHz in a pedestrian tunnel for 5G communications

IHP Tai, HS Lim, KS Diong, KA Alaghbari - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, we report the results of radio propagation characterisation in a pedestrian
tunnel with different crowd densities at 24 GHz using commercial ray-tracing software called …