Wireless communications and networking research @ UniPD Michele Zorzi, University of Padova zorzi@dei.unipd.it

University of Padova (Padua) Founded in 1222, ~60-70K students

Research Interests IoT: energy-efficient, context-aware, protocol design Heterogeneous, massive access 5G mmWave cellular systems Network management w/ directionality, energy consumption, protocol performance, multi-connectivity Underwater networking, using acoustic and/or optical comms Delay, unreliability, challenging protocol design Cognition-based communications and networking Applying learning and cognition to network design, management and operation Energy harvesting and energy cooperation Optimization of transmission policies, WPCNs

Three key questions What is “useful” (needed?) Importance of problem statement

Three key questions What is “useful” (needed?) Importance of problem statement What is “valuable” (impactful?) Importance of effective and high-gain solution

Three key questions What is “useful” (needed?) Importance of problem statement What is “valuable” (impactful?) Importance of effective and high-gain solution What is “real” (realistic?) Importance of using the right level of modeling and abstraction

Three key problems Feasibility of 5G mmWave networks Can networking protocols work in the presence of (i) flaky/fragile channels, (ii) directionality that violates the broadcast assumption, (iii) extreme dynamics?

Three key problems Feasibility of 5G mmWave networks Can networking protocols work in the presence of (i) flaky/fragile channels, (ii) directionality that violates the broadcast assumption, (iii) extreme dynamics? A systematic theory of learning Can (i) a theoretical formulation of learning models, (ii) a hard performance characterization, and (iii) a fundamental understanding be rigorously developed?

Three key problems Feasibility of 5G mmWave networks Can networking protocols work in the presence of (i) flaky/fragile channels, (ii) directionality that violates the broadcast assumption, (iii) extreme dynamics? A systematic theory of learning Can (i) a theoretical formulation of learning models, (ii) a hard performance characterization, and (iii) a fundamental understanding be rigorously developed? Optimal use of energy Can we theoretically characterize (in a constructive way) what is the best we can do with a given amount of energy (or with certain energy harvesting capabilities) in a given system?