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Cognitive Radio Networks: Imagination or Reality?

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Cognitive Radio Networks: Imagination or Reality? Joseph B. Evans Deane E. Ackers Distinguished Professor of Electrical Engineering & Computer Science – PowerPoint PPT presentation

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Title: Cognitive Radio Networks: Imagination or Reality?


1
Cognitive Radio NetworksImagination or Reality?
  • Joseph B. Evans
  • Deane E. Ackers Distinguished ProfessorofElectri
    cal Engineering Computer Science

2
Definitions and More Questions
  • Cognitive
  • Is it sense act learn?
  • Or learn sense act?
  • Radio
  • Radios with the right capabilities exist
  • But with focus on what layer(s) of the system?
  • Is the focus on local subsystem and/or single
    parameter?
  • Networks
  • Information shared across network?
  • Coordinated actions?

3
  • Radios

4
KU Agile Radio (KUAR)
  • Compact portable agile radio
  • Consists of RF, digital, and power supply boards
  • Flexible hardware
  • Current KUAR supports 5 GHz band operations
  • Future implementation to support 2.4 GHz band
  • 30 MHz independent Tx/Rx complex baseband
  • Waveform A/D 14-bit _at_ 80 Msps and D/A 16-bit _at_
    160 Msps
  • PowerPC 405 (266 MHz), 32 MB SDRAM / 32 MB Flash
  • Ethernet
  • Xilinx Vertex II Pro 2 PPC cores 21K logic
    cells 300 MHz
  • Flexible software
  • Linux OS (Kernel 2.4)
  • C SCA implementation from Virginia Tech (OSSIE)
    used for software framework
  • KUAR control processor fully participates in
    wired network with standard network services
  • Capability for dynamic service and spectrum
    access, and rapid service creation

5
Cognition and Radio
Source Preston Marshall, DARPA
6
Technology Trends
Agile Radios
Cognitive Radio Networks?
7
  • Networks

8
Smarter Nodes to Smarter Networks
Across Networks
Within Devices Protocol Stacks
Within Networks
Within Devices Protocol Stacks
9
Cognitive Radio Architectures
  • Cognitive radio networking capabilities
  • Radio adaptation and collaboration
  • Spectrum coordination for flexible wireless
    access
  • Autoconfiguration
  • Networking service discovery, naming, addressing
    and routing
  • Cross layer network management overlay to provide
    aggregated representations of the cognitive
    subnetwork state to the future Internet

10
Cognitive Wireless Networks
  • Cognitive Wireless Network with Multiple
    Network-Layer Overlays

11
The Bottom Line
  • Adaptation learning are already in the network
  • But
  • Cognition in the network is immature
  • Much work needs to be done on proving the concept
    and then exploring deployment

12
  • Cognition

13
Cognition For Example, Spectrum
Source Preston Marshall, DARPA (Modified)
14
How Cognition Might Help
  • Each technology can throw tough situations to
    other more suitable technologies

Source Preston Marshall, DARPA (Modified)
15
Distributed Sensing, Control, Learning
  • Sharing observations from sensing
  • Sharing information for reasoning and learning
  • Protocols and languages?

16
Opportunity in Chaos
  • It may be best to investigate from different
    parts of the protocol architecture
  • Configuration management of radios in a node
    because of recent trends towards multi-radio
    systems
  • Network management because it is less firmly
    embedded in the architecture

17
Final Thoughts
  • Radio platforms
  • They exist, with varying degrees of
    sophistication
  • Adaptation in response to sensing
  • Most radio systems already do this to some extent
  • Learning
  • It is clearly incorporated on some time scale
  • But how does it evolve over time?
  • How it is shared or networked?

18
Cognitive Radio NetworksImagination or Reality?
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