WP4'd: Multimedia Communication Networks

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WP4.d Multimedia Communication
Networks Research activities at UAQ
1st WP4d meeting - Zurich, March 7, 2005
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• Research team
• Researchers
• E. De Santis, M.D. Di Benedetto, M.G. Di
  Benedetto, S. Di Gennaro, F. Graziosi, F.
  Santucci
• Students
• G. Girasole, M. Di Renzo, C. Fischione, S.
  Tennina,

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• Major research topics
• Control of wireless communication networks
• Radio resource management (interference
  management) and adaptive strategies in wireless
  systems of current and future generations (with
  MMA/MSC and Synopsys)
• (Re-)cast of various problems through hybrid
  modelling and control
• TCP over wireless (with KTH)
• Control over heterogeneous networks
• Design and operation of ad-hoc networks and
  related technologies (with Thales, PARADES, UCB)
• Distributed processing for positioning and
  source-coding in WSN
• Further
• Scheduling, buffer management and congestion
  avoidance in broadband networks (with Siemens
  CNX).

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Control of networks (UAQ)

• Power control, spatial filtering and interference
  management in CDMA (cooperation with MMA/MSC and
  Synopsys)
• Optimal power allocation strategies
• Modelling of power controlled interference
  limited wireless channels
• Partially adaptive beamforming

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Control of networks (UAQ)
Interference management through combined power
and BS assignment
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Control of networks (UAQ)
Performance evaluations of TCP over wireless (in
cooperation with KTH)
From system model to performance in a WCDMA
wireless interface
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Control over networks (UAQ)

• Integrated design of ad-hoc wireless sensor
  networks (cooperation with UCB)
• Distributed processing in sensor networks
• Physical layer alternatives for ad-hoc networks
  UWB (cooperation with Thales)
• Integrated control-communication design for road
  traffic monitoring/control
• Experimental activities with XBow MICA network
  platform

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Control over networks (UAQ)
Example of node architecture
Example of design flow
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Control over networks (UAQ)

• Mapping of service primitives to the location
  service functional platform allows to define the
  behavior of each functional component
• Tipically, for ad-hoc wireless networks, accuracy
  and availability requirements of a location
  service can only be met statistically (for a
  certain percentage of nodes)