3 papers
cs.IT2026
Scalable Base Station Configuration via Bayesian Optimization with Block Coordinate Descent
Kakeru Takamori, Koya Sato
This paper proposes a scalable Bayesian optimization (BO) framework for dense base-station (BS) configuration design. BO can find an optimal BS configuration by iterating parameter…
eess.SP2025
Joint Ex-Post Location Calibration and Radio Map Construction under Biased Positioning Errors
Koki Kanzaki, Koya Sato
This paper proposes a high-accuracy radio map construction method tailored for environments where location information is affected by bursty errors. Radio maps are an effective too…
eess.SP2025
Mitigating the Impact of Location Uncertainty on Radio Map-Based Predictive Rate Selection via Noisy-Input Gaussian Process
Koya Sato
This paper proposes a predictive rate-selection framework based on Gaussian process (GP)-based radio map construction that is robust to location uncertainty. Radio maps are a promi…