4 papers
Rate-Splitting Multiple Access for RIS-Enabled Full-Duplex Communications with User Relaying
Yuwen Cao, Hui Wang, Tomoaki Ohtsuki +1
Rate splitting multiple access (RSMA) has emerged as a promising non-orthogonal transmission mechanism to improve spectral- and energy efficiency, and user fairness in multi-antenn…
Selection, Not Fusion: Radar-Modulated State Space Models for Radar-Camera Depth Estimation
Zhangcheng Hou, Tomoaki Ohtsuki
Radar camera depth estimation turns a very sparse but metric radar signal into a dense depth map. Existing methods combine radar and image features outside the sequence operator of…
Black-Box Edge AI Model Selection with Conformal Latency and Accuracy Guarantees
Anders E. Kalør, Tomoaki Ohtsuki
Edge artificial intelligence (AI) will be a central part of 6G, with powerful edge servers supporting devices in performing machine learning (ML) inference. However, it is challeng…
Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks
Yuwen Cao, Tomoaki Ohtsuki, Setareh Maghsudi +1
In this paper, we develop a deep learning (DL)-guided hybrid beam and power allocation approach for multiuser millimeter-wave (mmWave) networks, which facilitates swift beamforming…