Large language models for telecom: The next big thing?
The evolution of generative artificial intelligence (GenAI) constitutes a turning point in
reshaping the future of technology in different aspects. Wireless networks in particular, with …
reshaping the future of technology in different aspects. Wireless networks in particular, with …
OrchLoc: In-orchard localization via a single LoRa gateway and generative diffusion model-based fingerprinting
In orchards, tree-level localization of robots is critical for smart agriculture applications like
precision disease management and targeted nutrient dispensing. However, prior solutions …
precision disease management and targeted nutrient dispensing. However, prior solutions …
RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion
Along with AIGC shines in CV and NLP, its potential in the wireless domain has also
emerged in recent years. Yet, existing RF-oriented generative solutions are ill-suited for …
emerged in recent years. Yet, existing RF-oriented generative solutions are ill-suited for …
DART: Implicit Doppler Tomography for Radar Novel View Synthesis
Simulation is an invaluable tool for radio-frequency system designers that enables rapid
prototyping of various algorithms for imaging target detection classification and tracking …
prototyping of various algorithms for imaging target detection classification and tracking …
Radar Fields: An Extension of Radiance Fields to SAR
Radiance fields have been a major breakthrough in the field of inverse rendering novel view
synthesis and 3D modeling of complex scenes from multi-view image collections. Since their …
synthesis and 3D modeling of complex scenes from multi-view image collections. Since their …
Wisegrt: Dataset for site-specific indoor radio propagation modeling with 3d segmentation and differentiable ray-tracing
The accurate modeling of indoor radio propagation is crucial for localization, monitoring, and
device coordination, yet remains a formidable challenge, due to the complex nature of …
device coordination, yet remains a formidable challenge, due to the complex nature of …
A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
We present NeWRF, a deep learning framework for predicting wireless channels. Wireless
channel prediction is a long-standing problem in the wireless community and is a key …
channel prediction is a long-standing problem in the wireless community and is a key …
AutoMS: Automated Service for mmWave Coverage Optimization using Low-cost Metasurfaces
mmWave networks offer wide bandwidth for high-speed wireless communication but suffer
from limited range and susceptibility to blockage. Existing coverage provisioning solutions …
from limited range and susceptibility to blockage. Existing coverage provisioning solutions …
Embracing Radiance Field Rendering in 6G: Over-the-Air Training and Inference with 3D Contents
The efficient representation, transmission, and reconstruction of three-dimensional (3D)
contents are becoming increasingly important for sixth-generation (6G) networks that aim to …
contents are becoming increasingly important for sixth-generation (6G) networks that aim to …
WixUp: A General Data Augmentation Framework for Wireless Perception in Tracking of Humans
Y Li, R Nandakumar - arXiv preprint arXiv:2405.04804, 2024 - arxiv.org
Recent advancements in wireless perception technologies, including mmWave, WiFi, and
acoustics, have expanded their application in human motion tracking and health monitoring …
acoustics, have expanded their application in human motion tracking and health monitoring …