Project Details
The Agnostic Sampling Transceiver
Applicant
Professor Dr. Thomas Schneider
Subject Area
Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology
Term
since 2021
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 491066027
Increasing demands in the communication networks require innovative concepts for the transmission and distribution of digital and analog signals with dynamic bandwidth allocation. According to the Cisco annual internet report, 66% of the 8 billion-world population in 2023 will use the internet and 77% will do it by mobile devices. Due to the Corona pandemic, the data traffic for video conferences has increased by 100%, for instance. To fulfill such data demands and to improve the overall productivity and efficiency of the economy in normal times, maximization of the bandwidth and efficiency of intra-datacenter communications and of the backbone and access networks is required.Today, transmission networks predominantly rely on massive high bandwidth electronic digital signal processing (DSP). The required bandwidth of the electronic DSPs and their energy consumption increases with increasing data rates. Here a new transceiver system, which is completely agnostic for the signals to be transmitted, enables the transmission with the maximum possible data rate and does not rely on DSP, will be investigated. The primary objective of the proposed research project is the detailed investigation of the new transceiver method, including the determination of its possibilities and limits, the detailed investigation of its sensitivity against impairments due to practical components and the channel and the detailed investigation of possibilities to mitigate these impairments.
DFG Programme
Research Grants