Cognitive Radio Networks Breakout GENI Wireless Workshop 28 March 2007

GENI Wireless Working Group 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

GENI Wireless Working Group Cognitive Radio Network Bits

GENI Wireless Working Group Research Challenges 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

GENI Wireless Working Group Research Challenges (cont’d) 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

GENI Wireless Working Group 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

GENI Wireless Working Group Applications Underlay high-speed LANs Automotive networks  Adaptive MAC  Adaptive routing Seamless mobility Emergency response

GENI Wireless Working Group 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

Cognitive Radio Networks Breakout GENI Wireless Workshop 28 March 2007