SPCN-SS1.3
Cross-Deployment Deep Transfer Learning for Radio Sensing Prediction Using Aerial 5G mmWave Measurements
Junaid Sajid, Ivo Müürsepp, Tallinn University of Technology, Estonia; Luca Reggiani, Politecnico Di Milano, Italy; Muhammad Mahtab Alam, Tallinn University of Technology, Estonia
Session:
SPCN-SS1: Integrating Radio Frequency (RF)-based Sensing with Smart Radio Environments for Joint Communication and Sensing Lecture
Track:
Special Sessions
Location:
Forum 6
Presentation Time:
Tue, 1 Sep, 16:40 - 17:00 Belgium Time (UTC +2)
Presentation
Discussion
Resources
No resources available.
Session SPCN-SS1
SPCN-SS1.1: Synthetic Aperture Communication: Principles and Application to Massive IoT Satellite Uplink
Lucas Giroto, Marcus Henninger, Silvio Mandelli, Nokia Bell Labs, Germany
SPCN-SS1.2: FEDGTL: GLOBAL-DIRECTION-GUIDED FEDERATED LEARNING FOR HETEROGENEOUS LOCALIZATION SENSING
Zhen Guo, Mingjun Dai, Shenzhen University, China; Sanaz Kianoush, Consiglio Nazionale delle Ricerche, Italy
SPCN-SS1.3: Cross-Deployment Deep Transfer Learning for Radio Sensing Prediction Using Aerial 5G mmWave Measurements
Junaid Sajid, Ivo Müürsepp, Tallinn University of Technology, Estonia; Luca Reggiani, Politecnico Di Milano, Italy; Muhammad Mahtab Alam, Tallinn University of Technology, Estonia
SPCN-SS1.4: TRANSLATING MOTION INTO WAVES: FROM SPARSE OPTICAL MARKERS TO TIME-VARYING RADIO SCATTERING MODELS FOR PERSONALIZED BREATHING SENSING
Xiaoxuan Dong, Bixing Yan, Andre Kokkeler, Yang Miao, University of Twente, Netherlands
SPCN-SS1.5: Human Walking Sensing and Pose Estimation in the 6 GHz Band using Amplitude and Phase CSI
Zhaorui Yin, Mattia Brambilla, Monica Nicoli, Politecnico di Milano, Italy