International Conference · 2026

Scalable Coverage Simulation Workflow for Formation-Flying Satellite Phased Arrays

Tengis Buyantogtokh , Akira Uchiyama , Akihito Hiromori , Hirozumi Yamaguchi , Genma Hattori , Sou Ema , Sumio Morioka , Takahiro Inagawa

ICDCN 2026 Poster/Demo

DOI: 10.1145/3737611.3776966

Abstract

Formation-Flying Phased Array Antennas synthesize very-high-gain apertures from PicoSat swarms for Direct-To-Cell links. To simulate on-the-ground coverage, end-to-end full-wave simulation becomes exponentially resource-intensive at scale. We present a compact workflow that ingests complex circularly polarized element patterns (RHCP/LHCP), applies sequential rotation and array-factor synthesis, and projects the 3-D beampattern to Earth coverage. The preliminary evaluation at 1.8 GHz shows that the simulator reproduces elevation-cut behavior and error trends, running sub-second for tens of elements and seconds for thousands, enabling rapid design-space exploration.

Research and Development of Narrow Multi-Beam Forming Technology for Frequency Sharing in Direct Communication between LEO Satellites and Ground Terminals

Research and Development of Narrow Multi-Beam Forming Technology for Frequency Sharing in Direct Communication between LEO Satellites and Ground Terminals

Ministry of Internal Affairs and Communications (MIC) Research and Development for Radio Resource Expansion

Environment-Aware Distributed Scheduling for Emergency LoRa Networks

Yuto Inaba, Tatsuya Amano, Akihito Hiromori, Hirozumi Yamaguchi

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), SPT-IoT 2026, pp. 1366–1371

DOI 10.1109/PerComWorkshops68308.2026.11585469

Disaster CommunicationLoRa +4

A Lightweight Vision-Language Model for Disaster Image Summarization

Hibiki Yoshizaki, Akira Uchiyama, Akihito Hiromori, Mineo Takai, Hirozumi Yamaguchi

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), PerconAI 2026, pp. 1203–1208

DOI 10.1109/PerComWorkshops68308.2026.11585419

Semantic CommunicationDisaster Response +4

Physics-Integrated Deep Learning for Urban Landslide Prediction

Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), URBSENSE 2026, pp. 1094–1099

DOI 10.1109/PerComWorkshops68308.2026.11585337

Landslide PredictionPhysics-Integrated Learning +3

A Simulation Framework for Precision Formation Flying of Massive Satellite Swarms

Tatsuya Amano, Akihito Hiromori, Hirozumi Yamaguchi, Sumio Morioka

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), PerVehicle , pp. 230–235

DOI 10.1109/PerComWorkshops68308.2026.11585321

Satellite Formation FlyingDistributed Simulation +4

Ray-Tracing-Driven Pattern-Based Vehicle Recognition in ISAC Radar

Heetae Jin, Akira Uchiyama

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), PerRad 2026, pp. 328–333

DOI 10.1109/PerComWorkshops68308.2026.11585327

ISACBeyond 5G +4

A Questionnaire-Only Counterfactual Machine Learning Approach to Assess the Spatial Impact of Green Mobility Vehicles in Urban Parks

Rami Naeem, Srikant Manas, Tatsuya Amano, Hirozumi Yamaguchi

ICDCN 2026 Workshop: IWNDSC2026

DOI 10.1145/3737611.3776620