Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] M-RL: A mobility and impersonation-aware IDS for DDoS UDP flooding attacks in IoT-Fog networks
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 …
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
The demand for ultra-high-speed indoor wireless connectivity is ever-increasing, which
poses unique challenges for the next generation wireless communication system design …
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
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 …
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
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 …
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 …
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 …
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
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 …
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
In the spectrum sharing band, unlicensed devices are managed by automated frequency
coordination (AFC) systems to protect incumbent services from interference. Thus, it is …
coordination (AFC) systems to protect incumbent services from interference. Thus, it is …
Path Clustering for Radio Propagation Prediction with Moving Object in Indoor Environment
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 …
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
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 …
tunnel with different crowd densities at 24 GHz using commercial ray-tracing software called …