153 citations · 155 across the 10 of their papers we have counts for
11 papers
A Geometry-based Stochastic Wireless Channel Model using Generative Neural Networks
Seongjoon Kang
Due to the high complexity of geometry-deterministic wireless channel modeling and the difficulty in its implementation, geometry-based stochastic channel modeling (GBSM) approache…
Spatially Consistent Air-to-Ground Channel Modeling via Generative Neural Networks
Amedeo Giuliani, Rasoul Nikbakht, Giovanni Geraci +3
This article proposes a generative neural network architecture for spatially consistent air-to-ground channel modeling. The approach considers the trajectories of uncrewed aerial v…
A Geometry-based Stochastic Wireless Channel Model using Channel Images
Seongjoon Kang
Due to the high complexity of geometry-deterministic wireless channel modeling and the difficulty in its implementation, geometry-based stochastic channel modeling (GBSM) approache…
Terrestrial-Satellite Spectrum Sharing in the Upper Mid-Band with Interference Nulling
Seongjoon Kang, Giovanni Geraci, Marco Mezzavilla +1
The growing demand for broader bandwidth in cellular networks has turned the upper mid-band (7-24 GHz) into a focal point for expansion. However, the integration of terrestrial cel…
Cellular Wireless Networks in the Upper Mid-Band
Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan +6
The upper mid-band - roughly from 7 to 24 GHz - has attracted considerable recent interest for new cellular services. This frequency range has vastly more spectrum than the highly…
Coexistence of UAVs and Terrestrial Users in Millimeter-Wave Urban Networks
Seongjoon Kang, Marco Mezzavilla, Angel Lozano +5
5G millimeter-wave (mmWave) cellular networks are in the early phase of commercial deployments and present a unique opportunity for robust, high-data-rate communication to unmanned…
Wireless Channel Prediction in Partially Observed Environments
Mingsheng Yin, Yaqi Hu, Tommy Azzino +3
Site-specific radio frequency (RF) propagation prediction increasingly relies on models built from visual data such as cameras and LIDAR sensors. When operating in dynamic settings…
Understanding Energy Efficiency and Interference Tolerance in Millimeter Wave Receivers
Panagiotis Skrimponis, Seongjoon Kang, Abbas Khalili +7
Power consumption is a key challenge in millimeter wave (mmWave) receiver front-ends, due to the need to support high dimensional antenna arrays at wide bandwidths. Recently, there…
A Dual-Connection based Handover Scheme for Ultra-Dense Millimeter-Wave Cellular Networks
Seongjoon Kang, Siyoung Choi, Goodsol Lee +1
Mobile users in an ultra-dense millimeter-wave cellular network experience handover events more frequently than in conventional networks, which results in increased service interru…
Millimeter-Wave UAV Coverage in Urban Environments
Seongjoon Kang, Marco Mezzavilla, Angel Lozano +5
With growing interest in mmWave connectivity for UAVs, a basic question is whether networks intended for terrestrial users can provide sufficient aerial coverage as well. To assess…
Lightweight UAV-based Measurement System for Air-to-Ground Channels at 28 GHz
Vasilii Semkin, Seongjoon Kang, Jaakko Haarla +7
Wireless communication at millimeter wave frequencies has attracted considerable attention for the delivery of high-bit-rate connectivity to unmanned aerial vehicles (UAVs). Howeve…