7 papers
State-Evolution-based Score Matching for Generalized Approximate Message Passing
Tomoharu Furudoi, Takumi Takahashi, Hideki Ochiai
Generalized approximate message passing (GAMP) equipped with minimum mean-square error (MMSE) denoisers, commonly referred to as Bayes-GAMP, is a powerful framework for solving inv…
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…
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…