Random forests based path loss prediction in mobile communication systems
R He, Y Gong, W Bai, Y Li… - 2020 IEEE 6th International …, 2020 - ieeexplore.ieee.org
When deploying communication systems, an accurate wireless propagation model is
important to ensure the quality of service covering the region. Due to the complex radio …
important to ensure the quality of service covering the region. Due to the complex radio …
A novel real-time channel prediction algorithm in high-speed scenario using convolutional neural network
L Xiong, Z Zhang, D Yao - Wireless Networks, 2022 - Springer
The accurate channel state information (CSI) is important to realize the high-reliability and
high-efficiency transmission. So far, most of the conventional methods reconstruct CSI on …
high-efficiency transmission. So far, most of the conventional methods reconstruct CSI on …
Deep learning-based channel prediction in realistic vehicular communications
Access to reliable estimates of the wireless channel, such as the channel state information
(CSI) and the received signal strength would open opportunities for timely adaptation of …
(CSI) and the received signal strength would open opportunities for timely adaptation of …
Uncovering the Limitations and Insights of Packet Status Prediction Models in IEEE 802.15. 4-Based Wireless Networks and Insights from Data Science
M Ávalos-Arce, H Pérez-Díaz, C Del-Valle-Soto… - Informatics, 2024 - mdpi.com
Wireless networks play a pivotal role in various domains, including industrial automation,
autonomous vehicles, robotics, and mobile sensor networks. This research investigates the …
autonomous vehicles, robotics, and mobile sensor networks. This research investigates the …
Artificial neural network based path loss prediction for wireless communication network
Accurate path loss (PL) prediction is essential for predicting transmitter coverage and
optimizing wireless network performance. Traditional PL models are difficult to cope with the …
optimizing wireless network performance. Traditional PL models are difficult to cope with the …
Jointly optimized echo state network for short-term channel state information prediction of fading channel
Accurately obtaining channel state information (CSI) in wireless systems is significant but
challenging. This paper focuses the technique of machine-learning-based channel …
challenging. This paper focuses the technique of machine-learning-based channel …
A deep learning-aided temporal spectral ChannelNet for IEEE 802.11 p-based channel estimation in vehicular communications
X Zhu, Z Sheng, Y Fang, D Guo - EURASIP Journal on Wireless …, 2020 - Springer
In vehicular communications using IEEE 802.11 p, estimating channel frequency response
(CFR) is a remarkably challenging task. The challenge for channel estimation (CE) lies in …
(CFR) is a remarkably challenging task. The challenge for channel estimation (CE) lies in …
Towards an accurate bandwidth estimation tool for 802.11 n wireless networks
D Azevedo, M Bonfim, L Lima… - 2018 IEEE Symposium …, 2018 - ieeexplore.ieee.org
Available Bandwidth Estimation (ABE) has been the subject of several studies in recent
years. ABE tools based on the PRM approach have been the primary choice for production …
years. ABE tools based on the PRM approach have been the primary choice for production …
Overfitting and underfitting analysis for deep learning based end-to-end communication systems
H Zhang, L Zhang, Y Jiang - 2019 11th international conference …, 2019 - ieeexplore.ieee.org
In this paper, we study the deep learning (DL) based end-to-end transmission systems, then
we present the analysis for the underfitting and overfitting phenomena which happen during …
we present the analysis for the underfitting and overfitting phenomena which happen during …
External interference free channel access strategy dedicated to tsch
Power consumption is one of the main challenging issues in Internet of Things (IoT). The 2.4
GHZ band authorizes many different wireless technologies to exploit the same spectrum …
GHZ band authorizes many different wireless technologies to exploit the same spectrum …