9 papers · 1 filter
Electromagnetic Singularity-Aware MIMO Channels: Scattering-Based Channel Modeling and Physics-Aware Power Allocation
Yubin Luo, Jieao Zhu, Takumi Takahashi +1
Electromagnetic information theory (EIT) brings electromagnetic physics into wireless channel analysis and offers a physical view of channel structures hidden by conventional model…
Electromagnetic Digital Twin-Enabled Closed-Loop Beam Management in ISAC Systems
Yubin Luo, Takumi Takahashi, Li Yu +3
Digital twin (DT) is envisioned as a key enabler of sixth-generation (6G) communication systems, evolving from offline descriptive replicas for monitoring and analysis to inthe-loo…
Vector Similarity Search-Based MCS Selection in Massive Multi-User MIMO-OFDM
Fuga Kobayashi, Takumi Takahashi, Shinsuke Ibi +3
This paper proposes a novel modulation and coding scheme (MCS) selection framework that integrates mutual information (MI) prediction based on vector similarity search (VSS) for ma…
Secure Cell-Free Massive MIMO ISAC Systems: Joint AP Selection and Power Allocation Against Eavesdropping
Ruiguang Wang, Takumi Takahashi, Hideki Ochiai
This paper investigates a cell-free massive multiple-input-multiple-output (CF-mMIMO) integrated sensing and communication (ISAC) system that addresses the critical challenge of in…
Ill-Posedness Analysis of CSI-Based Electromagnetic Inverse Scattering for Material Reconstruction in ISAC Systems
Yubin Luo, Li Yu, Takumi Takahashi +4
Channel state information (CSI)-based electromagnetic inverse scattering for material reconstruction in ISAC systems enables physics-grounded, material-aware DT. Yet the resulting…
Reciprocity Calibration of Dual-Antenna Repeaters via MMSE Estimation
Shoma Hara, Takumi Takahashi, Hiroki Iimori +2
This paper proposes a novel Bayesian reciprocity calibration method that consistently ensures uplink and downlink channel reciprocity in repeater-assisted multiple-input multiple-o…
Quaternion-Domain Super MDS for Robust 3D Localization
Alessio Lukaj, Keigo Masuoka, Takumi Takahashi +2
This paper proposes a novel low-complexity three-dimensional (3D) localization algorithm for wireless sensor networks, termed quanternion-domain super multi-dimensional scaling (QD…
Quaternion Domain Super MDS for 3D Localization
Keigo Masuoka, Takumi Takahashi, Giuseppe Thadeu Freitas de Abreu +1
We propose a novel low-complexity three-dimensional (3D) localization algorithm for wireless sensor networks, termed quaternion-domain super multidimensional scaling (QD-SMDS). Thi…
Discrete-Valued Signal Estimation via Low-Complexity Message Passing Algorithm for Highly Correlated Measurements
Tomoharu Furudoi, Takumi Takahashi, Shinsuke Ibi +1
This paper considers a discrete-valued signal estimation scheme based on a low-complexity Bayesian optimal message passing algorithm (MPA) for solving massive linear inverse proble…