Wireless Networks Breakout Session Summary

1. Wireless NetworksBreakout Session Summary September 21, 2012

2. Grand Challenge 1:Scaling to Serve 1000x Demand • Grand Challenge Problems and Opportunities (3) • Methodologies • Means for Tech Transfer and Impact

3. Grand Challenge 1:Scaling to Serve 1000x Demand • Provide architecture and analytical foundation for supporting dense, heterogeneous network deployment (femto/pico/small cells, relays, message ferrying), including management of interference problems and increasing prevalence of video • Devise framework (algorithms, protocols) to enable fast time-scale access to leverage gaps opportunistically (spectrum does not go unused) • Create architecture and incentives to encourage spectrum sharing and cooperation • Need new data-driven mathematical models for mobility, connectivity and usage

4. Grand Challenge 2:Automation and Self-Optimization from Users’ Perspective • Advance toward a truly automated, situation-aware wireless client: optimal dynamic selection among multiple radio interfaces, match delay and throughput characteristics to user/app needs and cost constraints • Determine the right partitioning of functions between distributed and centralized control for large-scale wireless systems; understand what information is needed from where to ensure that the user derives adequate utility from network • Formulate methods to ensure both local optimality and (at least approximate) global optimality (social welfare) in devices’ decision making • Design the architecture and control such that it greatly simplifies network management

5. Grand Challenge 3:Network Security and Resilience • Secure the network against attack from rogue actors (internal and external) among a burgeoning number of wireless edge devices and apps; rapid recognition, diagnosis, and mitigation within an increasingly distributed architecture • Preserve user data and device security while allowing the network to play a more active, intelligent role in data handling • Formulate methods for designing wireless networks with effective coupling and tradeoffs between performance and security • Preserve security in presence of heterogeneous, ad-hoc wireless network formation

6. Wireless Methodologies • Unify control, communications, and information theory to find solutions that address three critical dimensions of wireless systems design: complexity (from computation to communication), long-term performance (e.g., throughput, energy efficiency, stability, etc.), and short-term performance • Define metrics and framework (including data analytics) for assessment and optimization • Devise and implement instrumentation to provide measurement data for assessment and optimization, including existing networks. For example, use crowd sourcing and the “mobile cloud” itself to collect measurement in a distributed fashion • Methodology for modeling, coordinating, predicting, and evaluating distributed control loops • Develop means of effective testing for dense, large-scale, heterogeneous wireless networks • Develop more-complete means of modeling wireless networks, particularly with respect to network uncertainties and time variations

7. Wireless Tech Transfer and Impact • Promote and enable early, frequent testing in realistic environments • Incorporate input from stakeholders concerning datasets, CONOPS, and other major assumptions regarding ultimate usage (cost, platform, backward compatibility,…) • Invest in open platforms, testbeds, and spectrum that community can use