Optimizing cellular networks for UAV corridors via quantization theory
S Karimi-Bidhendi, G Geraci… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We present a new framework based on quantization theory to design cellular networks
optimized for both legacy ground users and uncrewed aerial vehicle (UAV) corridors …
optimized for both legacy ground users and uncrewed aerial vehicle (UAV) corridors …
Generative ai as a service in 6g edge-cloud: Generation task offloading by in-context learning
Generative artificial intelligence (GAI) is a promising technique towards 6G networks, and
generative foundation models such as large language models (LLMs) have attracted …
generative foundation models such as large language models (LLMs) have attracted …
Optimal SSB Beam Planning and UAV Cell Selection for 5G Connectivity on Aerial Highways
In this article, we introduce a method to optimize 5G massive multiple-input multiple-output
(mMIMO) connectivity for unmanned aerial vehicles (UAVs) on aerial highways through …
(mMIMO) connectivity for unmanned aerial vehicles (UAVs) on aerial highways through …
Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks
EM Diallo - arXiv preprint arXiv:2405.05531, 2024 - arxiv.org
In this work, we design a generative artificial intelligence (GAI)-based framework for joint
resource allocation, beamforming, and power allocation in multi-cell multi-carrier non …
resource allocation, beamforming, and power allocation in multi-cell multi-carrier non …
Geometry-based Stochastic Wireless Channel Model using Generative Neural Networks
S Kang - Authorea Preprints, 2024 - techrxiv.org
Due to the high complexity of geometry-deterministic wireless channel modeling and the
difficulty in its implementation, geometry-based stochastic channel modeling (GBSM) …
difficulty in its implementation, geometry-based stochastic channel modeling (GBSM) …