Wireless Networks Breakout Session Summary September 21, 2012

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

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

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

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

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

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