Terahertz wireless channels: A holistic survey on measurement, modeling, and analysis
Terahertz (0.1-10 THz) communications are envisioned as a key technology for sixth
generation (6G) wireless systems. The study of underlying THz wireless propagation …
generation (6G) wireless systems. The study of underlying THz wireless propagation …
Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review
The rapid development of 5G communication networks has ushered in a new era of high-
speed, low-latency wireless connectivity, as well as the enabling of transformative …
speed, low-latency wireless connectivity, as well as the enabling of transformative …
Integrated sensing and communication: Enabling techniques, applications, tools and data sets, standardization, and future directions
J Wang, N Varshney, C Gentile… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The design of integrated sensing and communication (ISAC) systems has drawn recent
attention for its capacity to solve a number of challenges. Indeed, ISAC can enable …
attention for its capacity to solve a number of challenges. Indeed, ISAC can enable …
Machine-learning-based 3-D channel modeling for U2V mmWave communications
Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide
flexible link and high data rate for future communication networks. By considering the new …
flexible link and high data rate for future communication networks. By considering the new …
Intent-aware radio resource scheduling in a ran slicing scenario using reinforcement learning
Network slicing at the radio access network (RAN) domain, called RAN slicing, requires
elasticity, efficient resource sharing, and customization. In this scenario, radio resource …
elasticity, efficient resource sharing, and customization. In this scenario, radio resource …
Multi-agent reinforcement learning for dynamic resource management in 6G in-X subnetworks
The 6G network enables a subnetwork-wide evolution, resulting in a “network of
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …
Energy-efficient ultra-dense network with deep reinforcement learning
With the explosive growth in mobile data traffic, ultra-dense network (UDN) where a large
number of small cells are densely deployed on top of macro cells has received a great deal …
number of small cells are densely deployed on top of macro cells has received a great deal …
A real-time hardware emulator for 3D non-stationary U2V channels
Channel emulator is an important tool to evaluate communication system performance at the
physical link, and network levels. In this paper, a new discrete 3D non-stationary geometry …
physical link, and network levels. In this paper, a new discrete 3D non-stationary geometry …
Quantum computing based optimization for intelligent reflecting surface (IRS)-aided cell-free network
T Ohyama, Y Kawamoto, N Kato - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) enables the control of propagation characteristics and is
attracting considerable attention as a technology to improve energy utilization efficiency in …
attracting considerable attention as a technology to improve energy utilization efficiency in …
Geometry-based stochastic line-of-sight probability model for A2G channels under urban scenarios
Q Zhu, F Bai, M Pang, J Li, W Zhong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Line-of-sight (LoS) path is essential for the reliability of air-to-ground (A2G) communications,
but the existence of the LoS path is difficult to predict due to random obstacles on the …
but the existence of the LoS path is difficult to predict due to random obstacles on the …