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A tutorial on environment-aware communications via channel knowledge map for 6G
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
A survey of recent advances in optimization methods for wireless communications
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …
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
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 …
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …
Generative AI for physical layer communications: A survey
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 …
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
Sionna RT: Differentiable ray tracing for radio propagation modeling
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 …
TensorFlow. Since release v0. 14 it integrates a differentiable ray tracer (RT) for the …
Radio map estimation: A data-driven approach to spectrum cartography
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 …
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
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 …
resource management in modern Internet of Things (IoT) and cellular systems. A radio map …
An overview on IEEE 802.11 bf: WLAN sensing
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 …
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 …
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 …
tasks, including resource allocation, interference coordination, and mission planning …