Signal Processing and Wireless Communications
We research on everything from energy efficiency in wireless sensor networks, energy harvesting and wireless power transfer to 5G/6G communication and distributed machine learning.
In the research area of signal processing and wireless communications we study:
- Energy efficiency in wireless sensor networks, energy harvesting and wireless power transfer.
- Distributed Machine Learning (AI), Secure machine learning.
- Radio Channel Modeling & ”Network MIMO”.
- Underwater Signal Processing and Localization.
Concluded research projects
Harvesting Based Communications for Wireless Control Systems
The aim of this project is to develop secure and privacy-preserving machine learning methods that ensure data security in the cloud.We also develop a cloud platform for secure data sharing and collaboration and implement the algorithms in an open source library.
Project leader: Anders Ahlén
Co-investigators: Subhrakanti Dey, Tomas Olofsson
Funding period: 2018-2021
Project-ID: 2017-04186_VR
More information about the project in the Swecris database
Secure and Self-Sustaining Netwoked Control for Cyber-Physical Systems
Cyber-Physical Systems (CPS) refer to the next generation of engineered systems that demand efficient integration of computing, communication, and control technologies in e.intelligent transportation systems, advanced healthcare and industrial automation.
This proposal aims to address two key research challenges: (i) design and analysis of secure networked estimation and control (NEC) algorithms for CPS via physical layer authentication and stochastic game theoretic methods, and (ii) innovation of optimally co-designed joint NEC and energy-management algorithms for large wireless control networks integrating emerging technologies such as energy harvesting and wireless power delivery.
Project leader: Subhrakanti Dey
Co-investigators: Anders Ahlén
Funding period: 2018-2021
Project-ID: 2017-04053_VR