Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
Paper in proceeding, 2024

Integrated sensing and communications (ISAC) is envisioned as one of the key enablers of next-generation wireless systems, offering improved hardware, spectral, and energy efficiencies. In this paper, we consider an ISAC transceiver with an impaired uniform linear array that performs single-target detection and position estimation, and multiple-input single-output communications. A differentiable model-based learning approach is considered, which optimizes both the transmitter and the sensing receiver in an end-to-end manner. An unsupervised loss function that enables impairment compensation without the need for labeled data is proposed. Semi-supervised learning strategies are also proposed, which use a combination of small amounts of labeled data and unlabeled data. Our results show that semi-supervised learning can achieve similar performance to supervised learning with 98.8% less required labeled data.

Hardware impairments

semi-supervised learning.

joint radar and communication

integrated sensing and communication

model-based learning

Author

José Miguel Mateos Ramos

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Baptiste Chatelier

INSA Rennes

Christian Häger

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Musa Furkan Keskin

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Luc Le Magoarou

INSA Rennes

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024

132-138

1st IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024
Stockholm, Sweden,

Physics-Based Deep Learning for Optical Data Transmission and Distributed Sensing

Swedish Research Council (VR) (2020-04718), 2021-01-01 -- 2024-12-31.

A holistic flagship towards the 6G network platform and system, to inspire digital transformation, for the world to act together in meeting needs in society and ecosystems with novel 6G services

European Commission (EC) (101095759-Hexa-X-II), 2022-12-01 -- 2025-06-30.

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/ICMLCN59089.2024.10624785

More information

Latest update

9/9/2024 7