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OR at Nokia Research Center

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Where is OR at NRC? OR analysts = No. LP & Simplex = No. Dynamic programming = No ... If: r= l/m= l L/C 1 i.e. if the system is stabile ... – PowerPoint PPT presentation

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Title: OR at Nokia Research Center


1
OR at Nokia Research Center
  • Jukka K. Nurminen
  • Nokia Research Center
  • jukka.k.nurminen_at_nokia.com

2
Where is OR at NRC?
  • OR analysts gt No
  • LP Simplex gt No
  • Dynamic programming gt No
  • Integer programming gt No
  • Game theory gt No
  • Decision analysis gt No
  • At first glance there is little use of OR
  • BUT

3
Simulation -gt Analog Circuit Design
  • Design an electronic circuit fulfilling a given
    specification with
  • minimum cost
  • minimum power usage
  • minimum size
  • maximum reuse

4
Simulations -gt Distributed computing
Lucas-Lehmer test 2p-1 is prime if and only if
S(p-1) 0 (mod 2p-1),where S(1) 4 and S(k1)
S(k)2-2.
Personal Java on Nokia Communicator
5
Graph theory -gt Network Planning Tool
  • Plan the transmission network to connect GSM
    basestations with
  • minimum cost
  • high reliability
  • easy maintenance
  • flexibility for growth

6
Queuing Models -gt IP network analysis
Packets in the system
- arriving packet
- under service
- departing packet
- waiting
time
N
4
3
2
1
time
Littles law ENEW?l If r l/m l?L/C lt 1
i.e. if the system is stabile
7
Data analysis -gt Location Detection Algorithms
8
Statistical analysis -gt Analysis of management
data
9
Non-linear programming -gt Auto-tuning of base
station parameters
  • Cell pilot power P(t) is controlled with formulas

10
Self-organizing maps -gt Context
recoqnitionSensor signals for various user
movements
  • Data from a user scenario snapshot of three
    acc signals

11
What kind of OR works?
  • OR tools and techniques embedded to application
    domain specific solutions
  • Problem-solving mindset
  • Simple, straightforward solutions
  • Flexibility to evolve
  • Fast and evolutionary development
  • Meeting new and unexpected needs
  • Tools complement rather than replace human
    experts
  • Strict optimality or highly efficient algorithms
    are seldom needed
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