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Cognitive Radio Networks Breakout

Cognitive Radio Networks Breakout. GENI Wireless Workshop 28 March 2007. Overview. Cognitive networks Sensing Technology dependencies Decision making and acting MAC, routing, resource management Demands / context (based on topology, time, application, etc.) Learning

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Cognitive Radio Networks Breakout

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  1. Cognitive Radio Networks Breakout GENI Wireless Workshop 28 March 2007

  2. Overview • Cognitive networks • Sensing • Technology dependencies • Decision making and acting • MAC, routing, resource management • Demands / context (based on topology, time, application, etc.) • Learning • Improved performance over time

  3. Cognitive Radio Network Bits

  4. Policing Detection of misbehavior Punishment / enforcement Policy Granularity Inter- vs. intra- network Node architecture Dumb Legacy Intelligent Heterogeneous Access Opportunistic Primary and secondary Cooperative access Collaboration between nodes Network coding / PHY design Systems architecture Centralized Distributed Individual Research Challenges

  5. Network management Decision granularity Learning algorithms Level of heterogeneity Semantics of cognition Spectrum occupancy Broader environment Integration with Internet Naming Aggregation of control Cross-layer information Research Challenges (cont’d)

  6. Experiment Requirements • Node • Wideband sensing and multiple narrowband (-ish) communication interfaces • General purpose processing is critical • Backend control • Local • Network • Core services • Network management, sensing service, data collection, platform API • Diversity of platforms • Possible range of all-software to all-hardware – may want a few design points in this space

  7. Applications • Underlay high-speed LANs • Automotive networks • Adaptive MAC • Adaptive routing • Seamless mobility • Emergency response

  8. Experiments • Opportunity for experiments with a wide variety of dimensions • Sensing • Space • Mobility • Network • Example • Controlled mobility, e.g. robot-based systems, vehicular • Radios negotiate a pathway multiple times • Senses environmental and demand context and adapts • Learns and improves performance • Need capability to control and measure wireless environment • Interconnect to wider network to explore distribution of data and cognition

  9. Cognitive Radio Networks Breakout GENI Wireless Workshop 28 March 2007

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