In the second round ACCESS has launched two different types of projects. Seed projects and collaborative projects. These projects run through 2010 to 2012. Both project typs are associated to one of the ACCESS Thematic Areas: Distributed Management, Communication Infrastructure, Networked Services, Signal and Systems.
Seed projects are led by one or more junior faculty member. The Seed project involves researchers from two or more research groups and often also involves postdocs and PhD students. Some Seed projects may be continuations of ACCESS projects that have run 2007-2009, and some may be new projects.
Collaborative projects in turn are led by Funding faculty (senior faculty) together with junior Faculty members.
Stochastic Modeling of Networked Systems
COoperative Communication in Multihop wireless networks
Interference Management for Future Wireless Networks
In Network Optimization
Secure Networked Estimation and Control
Impairments in Radio Frequency Transceivers and Pilot Design for correlated MIMO channels
Robust spectral estimation
Aggregation - Tree-based, gossiping and message-passing
Participants: Erik Aurell, Mads Dam, Rolf Stadler
The objectives of ATGC are (i) to systematically compare message-passing-based scheme to tree-based and gossip-based schemes in various scenarios, e.g. in different states of churn, (ii) to investigate if message-passing based schemes can be used to compute other aggregate metrics except averages (e.g. max, min, quantiles), and, if so, how well.
Highly Robust Protocols for Distributed Management
Participants: Mads Dam, Supriya Krishnamurty, Rolf Stadler
This project aims at developing tree-based randomized protocols that preserve the best properties of their deterministic counterparts, while eliminating some of the above drawbacks. Specifically we plan to develop randomized tree-based aggregation protocols and investigate their properties, both analytically and through experimentation. We will devise stochastic performance models at the system and particle levels and relate the two by simulation and, if possible, analytically. Lastly, we will use apply the performance models to churn estimation in networked systems.
Traffic Control II