HYCON

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HYCON WP4.d Multimedia Communication
Networks Paris, October 22, 2004
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Outline

• Background and motivations
• Overview of planned activities in DoW
• Ongoing and planned works for various partners

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Services and Applications
WPAN
IP-BASED CORE NETWORK
BS
HUB
3G/4G Systems
WLAN / Hot-Spot
Sensor Patch
Sensor Patch
Wireless Ad-Hoc Sensor and Control Networks
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Control of current and future wireless
communication networks is a fundamental task for
proper operations
More rigorous theoretical foundations are required
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Outline

• Background and motivations
• Overview of planned activities in DoW
• Ongoing and planned works for various partners

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• Two major research directions in HYCON
• Control of wireless communication networks
• Adaptive control strategies in 3G systems and
  beyond, that includes error-control coding,
  power/rate adaptation and accounts for
  cross-layer paradigm
• Effective modelling of control problems
• Distributed radio resource management
• Control over heterogeneous networks
• Distributed control of mobile agents
• Stability analysis for networked embedded systems
• Design and operation of wireless sensor networks
• Testbeds and experimental activities

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Control of networks
Example 1 TCP over wireless
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Control of networks
Example 2 Interference management through
combined power and BS assignment
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Control over networks

• Solution Iterative procedure that optimizes
• Resource allocation in the wireless system
  (determines bit-rates on channels)
• Quantization levels
• Scalings (to avoid overflow)
• Linear estimators and controllers

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Control over networks
Example 2 Distributed Control of Mobile Agents
Centralized approach
Problem Distributed collision-free motion
planning for a number of mobile agents evolving
on the plane.
Linear Constraints
Hybrid Control System
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(No Transcript)
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Industrial liaisons Ericsson Relsoft Siemens
CNX Swedish Defense Agency Thales
Communications . .
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Outline

• Background and motivations
• Overview of planned activities in DoW
• Ongoing and planned works for various partners

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UCL

• Planned activity
• Multi-agent systems with a network communication
  structure, with particular emphasis on problems
  that relate to the joint spectral radius (with a
  special emphasis on convexity), and on the graph
  theory notion of rigidity
• Collaborations on this topic have been initiated
  with the team in Lund
• Researchers involved include Yurii Nesterov,
  Jacques Theys, Cristobald de Kerchove, Julien
  Hendrickx
• Planned contribution
• Contribution to the deliverable D4d.1.2 Report
  on distributed control over wireless networks
  (Task 4d.1)

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INRIA

• Planned activity
• Participants O. Bernard, G. Ferrari-Trecate,
  J.-L. Gouze
• Topic Self-coordination of autonomous vehicles
  communicating through wireless networks
• Main issues 1) Dependence of self-coordination
  on the network topology 2) Degradation of
  self-coordination because of transmission
  non-idealities 3) Systematic design of
  distributed control schemes for achieving
  coordinated behaviors in presence of network
  constraints.
• Planned contribution
• Contribution to the deliverable D4d.1.2 Report
  on distributed control over wireless networks
  (Task 4d.1)

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UPAT

• Planned activity
• Testbeds for control over networks
• Control of benchmark system through GPRS
• Control of benchmark through 802.11b
• Control of robotic arm through the internet
• Control of robotic arm through MOTE network
• Control of mobile robot team through MOTE network
• Framework of stability analysis for networked
  control systems
• Planned contribution
• Contribution to the deliverable D4d.1.2 Report
  on distributed control over wireless networks
  (Task 4d.1) and D4d.2.1 Report on hybrid
  modelling and control for selected case studies
  (Task 4d.2)

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UAQ

• Control of networks (contribution to D4d.1.1 in
  Task 4d.1, D4d.2.1 in Task 4d.2, Task 4d.3), with
  particular emphasis on

• Modelling of interference-limited
  power-controlled wireless channels
• Adaptive resource allocation strategies and their
  efficient modelling for 3G wireless systems and
  beyond 3G
• Performance evaluation of TCP over wireless (with
  KTH)

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UAQ

• Control over networks (contribution to D4d.1.2 in
  Task 4d.1, D4d.2.1 in Task 4d.2)
• Integrated design of ad-hoc wireless sensor
  networks (cooperation with UCB and Parades)
• Distributed processing in sensor networks
• Physical layer alternatives for ad-hoc networks,
  e.g. UWB (cooperation with Thales)
• Integrated control-communication design for road
  traffic monitoring/control
• Experimental activities with XBow MICA network
  platform

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Problems to be addressed in N.E.C.S.
UNIPI

• Symbolic I/O
• Reachability
• Optimal Control
• Stabilization
• Observability

• Attention/Scheduling
• Concurrent Control Tasks on Shared Computational
  Resources
• Controls over a Shared Communication Channel

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UNIPI
Stabilization
Delchamps,'90,Tatikonda, Sahai, Mitter,
'98, Wong Brockett, '99, Elia Mitter,
'99-'01, Brockett Liberzon, '00, Nair
Evans, '00, Baillieul, '00, Fagnani
Zampieri, '01, Picasso, Gouaisbaut, B., CDC02
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UNIPI
Control over networks (contribution to D4d.1.2 in
Task 4d.1, D4d.2.1 in Task 4d.2)

• Planning on Reachability Lattices
• Practical Stabilization of Networked Quantized
  Systems
• Distributed Control of Mobile Agents
• Multi Agent Control in Wireless Network

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UNISI
Control of networks (contribution to D4d.1.1 in
Task 4d.1, D4d.2.1 in Task 4d.2, Task 4d.3)

• Joint Distributed Radio Resource Management (RRM)
  and scheduling in wireless networks
• Structured wireless networks (e.g., UMTS/HSDPA,
  structured WLANs)
• Ad-hoc networks (e.g., MANETS, sensors networks)
• Traffic differentiation in wireless networks
• Definition of QoS parameters
• QoS-aware RRM scheduling
• Control of beyond 3G networks
• Definition of B3G scenarios
• Cross layer design for multimedia services based
  on advanced physical layer interfaces (e.g.,
  OFDM, smart antennas)
• Define hybrid optimization models for networking
  problems (with KTH)

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UNISI
Control over networks (contribution to D4d.1.2 in
Task 4d.1, D4d.2.1 in Task 4d.2)

• Algorithms for estimating object motions using
  wireless sensors networks (with UAQ)

Stand by nodes
Active zone
Target
Previously activated zones
Object trajectory
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Contribution to Task4d.1 Survey of control
problems in wireless communications
PARADES

• Reviewing the state of the art for wireless
  sensor network protocols is an essential step to
  accomplish this task. Parades will contribute to
  D4d.1.2 with the topic
• Analysis of protocol 802.15.4/Zigbee
• (A. Balluchi, M. Carloni, A. Ferrari)

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Contribution to Task4d.2 Hybrid modelling and
control in selected wireless environments
PARADES

• Parades will contribute to D4d.2.1 with a study
  on the robustness of control applications relying
  on wireless sensor networks affected by
  unpredictable delays in packet transmissions.
  
• (A. Balluchi, M. Carloni, A. Ferrari)

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Integrated control and communication
KTH
Sensor data
Resource-limitedcommunication network
Actuation commands

• Control over communication networks
• Integrated control and coding
• Control with quantized information
• Joint optimization of controllers and network
  resources
• Control over packet-switched networks

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Control of communications networks
KTH

• (Contribution to D4d.1.1 of Task 4d.1, D4d.2.1 of
  Task 4d.2, Task 4d.3)

Internet

• Optimal network-wide resource allocation
• Demand estimation
• Routing and load balancing under uncertainty

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Automatic Control and Communication Systems
ULIN
Chair Prof. Lennart Ljung

• Control experiences and close cooperation with
  Ericsson Research
• since 1996
• Power control
• Radio Resource Management for wireless networks
  in general
• Field experiences with 3G
• Current focus on signal processing and control
  for evolved 3G which introduces increased control
  decentralization.
• Contribution to D4d.1.1 of Task 4d.1, D4d.2.1 of
  Task 4d.2

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Fredrik Gunnarsson, LiU
HyCon, WP 4d, Paris, Oct. 22, 2004
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Services and Applications
WPAN
IP-BASED CORE NETWORK
BS
HUB
3G/4G Systems
WLAN / Hot-Spot
Sensor Patch
Sensor Patch
Wireless Ad-Hoc Sensor and Control Networks