Channel measurements and models for 6G: current status and future outlook

J Zhang, P Tang, L Yu, T Jiang, L Tian - Frontiers of information technology …, 2020 - Springer
With the commercialization of fifth generation networks worldwide, research into sixth
generation (6G) networks has been launched to meet the demands for high data rates and …

3GPP standardized 5G channel model for IIoT scenarios: A survey

T Jiang, J Zhang, P Tang, L Tian… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is an emerging area that fifth-generation (5G) mobile
communication system penetrates industrial manufacturing applications. The indoor factory …

Machine-learning-based 3-D channel modeling for U2V mmWave communications

K Mao, Q Zhu, M Song, H Li, B Ning… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide
flexible link and high data rate for future communication networks. By considering the new …

Air-to-ground path loss prediction using ray tracing and measurement data jointly driven DNN

H Li, X Chen, K Mao, Q Zhu, Y Qiu, X Ye… - Computer …, 2022 - Elsevier
With the wide application of unmanned aerial vehicle (UAV), air-to-ground (A2G) channel
characterization is important for efficient and stable UAV-related communications. In this …

IoT Data Stream Handling, Analysis, Communication and Security Issues: A Systematic Survey

S Patidar, N Kumar, R Jindal - Wireless Personal Communications, 2024 - Springer
Massive data management or data stream handling has become a prominent study topic as
a result of recent breakthroughs in the Internet of Things (IoT). With the developments in big …

Measurement-based analysis and modeling of channel characteristics in an industrial scenario at 28 GHz

Y Wang, T Jiang, P Tang, Q Song… - 2021 IEEE 94th …, 2021 - ieeexplore.ieee.org
Millimeter-wave technology is the key technology to support the connection and throughput
of the Industrial Internet of Things (IIoT). And the channel model is the basis for the …

Geometry-based stochastic probability models for the los and nlos paths of a2g channels under urban scenarios

M Pang, Q Zhu, CX Wang, Z Lin, J Liu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Path probability prediction is essential to describe the dynamic birth and death of
propagation paths, and build the accurate channel model for air-to-ground (A2G) …

A novel orthogonal LoRa multiple access algorithm for satellite Internet of Things

C Zhang, L Wang, L Jiao, S Wang, J Shi… - China …, 2022 - ieeexplore.ieee.org
In recent years, LoRa has been extensively researched in the satellite Internet of Things
(IoT). However, the multiple access technology of LoRa is still one of the bottlenecks of …

Machine learning based altitude-dependent empirical LoS probability model for air-to-ground communications

M Pang, Q Zhu, Z Lin, F Bai, Y Tian, Z Li… - Frontiers of Information …, 2022 - Springer
Abstract Line-of-sight (LoS) probability prediction is critical to the performance optimization
of wireless communication systems. However, it is challenging to predict the LoS probability …

Adversarial training-aided time-varying channel prediction for TDD/FDD systems

Z Zhang, Y Zhang, J Zhang, F Gao - China Communications, 2023 - ieeexplore.ieee.org
In this paper, a time-varying channel prediction method based on conditional generative
adversarial network (CPcGAN) is proposed for time division duplexing/frequency division …