Hasso-Plattner-Institut
 
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Hasso-Plattner-Institut
Prof. Dr. Holger Karl
 

open6GHub: 6G für Menschen, Umwelt & Gesellschaft

open6GHub: 6G for people, environment, & society

open6GHub is a large research project, funded by the German federal government via the Ministry of Education and Research; it is coordinate by DFKI and comprises 14 partners all over Germany. We contribute mostly to two aspects: 

  • Networked Intelligence: How and where can machine learning-based artifical intelligence techniques be used to improve network operation, as well as how can networks assist in running such ML techniques in a distributed fashion, for both learning and inference phases? 
  • Programmable infrastructure: How can an infrastructure be managed when the infrastructure itself becomes adaptive; e.g., how to orchestrate distributed execution of microservice chains inside an edge cloud when the edge comprises mobile base stations (e.g., drones) with local computing capacity. Also, how can dependability be improved when operating a software-defined network. 

This project has several open positions for student research assistants, working on topics like a testing/emulation infrastructure for netowrk softwarization, dynamic infrastructure, or ML in networks. Do contact us if interested! 

Investigators: NN1, NN2 (Open positions!) 
Project duration: July 2021 - June 2025 
Funded by: Bundesministerium für Bildung und Forschung (BMBF) 
Publications: Separate page 

Network-Informed Control - Control-Informed Networking (NICCI)

The DFG-funded project NICCI intends to harmonize the resource management of wireless communication with the sensing and control demands of control applications running over such wireless links. A typical example would be several robots with local sensors, measuring some values that need to be communicated to a remote controller, and that controller computes control commands for those robots. The challenge is to deal with changes in the wireless channels on the one hand and more or less urgent demands by the robots on the other hand. Currently, we favor a machine-learning approach to deal with this multi-level resource management problem. 

Job offers: [ PDF (de) ] [ PDF (en) ]

Investigators: OPEN POSITION!
Project duration: January 2017 - December 2022
Funded by: Deutsche Forschungsgemeinschaft (DFG) 

Acoustic Sensor Networks

The idea of this project is to use distributed microphones, connected together by wireless communication, for sophisticated acoustic applications. Examples include detecting the location of a speaker, echo cancellation, denoising a recording, or selecting the best microphone for alternating speakers. These acoustic applications can be useful in use cases like class rooms, conference or lecture halls, or meeting rooms. 

A challenge here is that these applications require high-resolution audio streams, resulting in high data rate, possibly over longer distances (e.g., in conference halls). In addition, latency should be low. To support these requirements, it is promising to distribute signal-processing functions directly onto the microphones (or possibly, intermediate nodes). This can reduce data rates and improve latency and overall quality of experience. 

This idea is investigated as project P1 of the DFG Research Group (DFG Forschergruppe) FOR 2457 Acoustic Sensor Networks

 

Investigators: Haitham Afifi
Project duration: February 2017 - January 2023 (extended after three years) 
Funded by: Deutsche Forschungsgemeinschaft (DFG) 
Publications: Separate page

CRC 901: On the fly computing

This is a research project funded by the DFG collaborative research center SFB 901 "On-The-Fly-Computing". The research center investigates individually and automatically configured IT services which are composed from and executed on a marked of world wide traded combinalbe services and execution platforms. Within this research center our research group investigates the the communication network as one important ingredient for such market platform. Our research covers the realization and optimization of overlays over real networks as well as the optimized allocation of resources in single- and multi-site data centers. More details can be found on adedicated web page

Investigators: Adrian Redder (and in the past: Asif Hasnain, Arne Schwabe, Philip Wette)
Project duration: July 2011 - June 2023 (with extensions after four and eight years)
Funded by: Deutsche Forschungsgemeinschaft (DFG) 
Publications: Separate page