Compressed Sensing Algorithms for Structured Massive MIMO
Jun 01, 2016
Massive MIMO, i.e., very large scale multiuser multi-antenna technology, is widely expected to play a fundamental role in meeting the target performance of the future generation of wireless/cellular networks, commonly indicated as ``5G’’. The key idea is that by scaling up the number of ...
The research proposal Model-Predictive Cyber-Physical Networking aims at creating a framework of model predictive cyber-physical networking, which extends principles and properties known in the control community under the term model predictive control (MPC) to cyber-physical systems (CPS) with explicit representation of the communication network. The ability of MPC to predict and incorporate planned future behavior (and corresponding deviations thereof) into the design of feedback controllers makes it a natural candidate for a unified framework, which includes the prediction of network effects and controls, communication and the physical part of the CPS with similar means. Conversely, the approach in this proposal enables the network itself to generate planned or predicted trajectories based on criteria beyond simple throughput and interact in this way with the MPC controller which is a truly new approach. In addition, recent advances on communication protocols and on distributed and predictive control reveal surprising conceptual similarities in such intertwined design approach. By unifying models, design principles, system properties, and performance measures from the domains of communication and control theory into one consistent framework, this project targets the core of the research priority program SPP 1914.
Security in the context of future communication challenges and compressive sensing
Nov 01, 2015
The proposal suggests a concerted effort to tackle and resolve key challenges in the development of communication technologies—examining physical layers of security in future mobile phone and quantum technologies that offer the perspective of unconditionally secure communication. It exploits ...
on Federated Learning and Blockchain
Description To mitigate the inherent business risks when providing IoT data from different multiple stakeholders in complex farm-to-fork food supply chains, This project proposes an innovative system for enabling federated machine learning and artificial (edge) intelligence (ML/AI) supported ...
on Physical Layer Security and ML
Project description Theoretical approaches to securing radio communication with mechanisms of physical layer security (PLS) are now well known in research. In particular, the method of generating cryptographic keys for two communicating parties using radio channel reciprocity ...