A tutorial on environment-aware communications via channel knowledge map for 6G

Y Zeng, J Chen, J Xu, D Wu, X Xu, S **… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …

A survey of recent advances in optimization methods for wireless communications

YF Liu, TH Chang, M Hong, Z Wu… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

Artificial intelligence enabled radio propagation for communications—Part II: Scenario identification and channel modeling

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
This two-part paper investigates the application of artificial intelligence (AI) and, in particular,
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …

Generative AI for physical layer communications: A survey

N Van Huynh, J Wang, H Du, DT Hoang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …

Sionna RT: Differentiable ray tracing for radio propagation modeling

J Hoydis, FA Aoudia, S Cammerer… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Sionna™ is a GPU-accelerated open-source library for link-level simulations based on
TensorFlow. Since release v0. 14 it integrates a differentiable ray tracer (RT) for the …

Radio map estimation: A data-driven approach to spectrum cartography

D Romero, SJ Kim - IEEE Signal Processing Magazine, 2022 - ieeexplore.ieee.org
Radio maps characterize quantities of interest in radio communication environments, such
as the received signal strength and channel attenuation, at every point of a geographical …

RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network

S Zhang, A Wijesinghe, Z Ding - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Outdoor radio coverage map estimation is an important tool for network planning and
resource management in modern Internet of Things (IoT) and cellular systems. A radio map …

An overview on IEEE 802.11 bf: WLAN sensing

R Du, H Hua, H **e, X Song, Z Lyu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
With recent advancements, the wireless local area network (WLAN) or wireless fidelity (Wi-
Fi) technology has been successfully utilized to realize sensing functionalities such as …

Deep completion autoencoders for radio map estimation

Y Teganya, D Romero - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Radio maps provide metrics such as power spectral density for every location in a
geographic area and find numerous applications such as UAV communications, interference …

Spectrum surveying: Active radio map estimation with autonomous UAVs

R Shrestha, D Romero… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Radio maps find numerous applications in wireless communications and mobile robotics
tasks, including resource allocation, interference coordination, and mission planning …