25 citations · 49 across the 7 of their papers we have counts for
7 papers
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks
Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi +3
To reduce network traffic and support environments with limited resources, a method for transmitting images with minimal transmission data is required. Several machine learning-bas…
Vision-Aided Frame-Capture-Based CSI Recomposition for WiFi Sensing: A Multimodal Approach
Hiroki Shimomura, Yusuke Koda, Takamochi Kanda +3
Recompositing channel state information (CSI) from the beamforming feedback matrix (BFM), which is a compressed version of CSI and can be captured because of its lack of encryption…
Bi-directional Beamforming Feedback-based Firmware-agnostic WiFi Sensing: An Empirical Study
S. Kondo, S. Itahara, K. Yamashita +4
In the field of WiFi sensing, as an alternative sensing source of the channel state information (CSI) matrix, the use of a beamforming feedback matrix (BFM)that is a right singular…
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
Ryosuke Hanahara, Sohei Itahara, Kota Yamashita +4
With regard to the implementation of WiFi sensing agnostic according to the availability of channel state information (CSI), we investigate the possibility of estimating a CSI matr…
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
Akihito Taya, Takayuki Nishio, Masahiro Morikura +1
This paper proposes a fully decentralized federated learning (FL) scheme for Internet of Everything (IoE) devices that are connected via multi-hop networks. Because FL algorithms h…
Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks
Akihito Taya, Takayuki Nishio, Masahiro Morikura +1
Sharing perceptual data with other vehicles enhances the traffic safety of autonomous vehicles because it helps vehicles locate other vehicles and pedestrians in their blind spots.…
Deep-Reinforcement-Learning-Based Distributed Vehicle Position Controls for Coverage Expansion in mmWave V2X
Akihito Taya, Takayuki Nishio, Masahiro Morikura +1
In millimeter wave (mmWave) vehicular communications, multi-hop relay disconnection by line-of-sight (LOS) blockage is a critical problem, especially in the early diffusion phase o…