"Cross-Layer Sensing, Estimation & Control in Wireless Networks"

Nicolò Michelusi, Postdoc, University of Southern California

July 6th (Monday), 2:00pm
Harold Frank Hall, Room 4164 (ECE Conference Room)

As mobile and machine-to-machine traffic is expected to grow exponentially in the next decade, tools for the design and optimization of agile and heterogeneous wireless networks are of great interest. Indeed, network design and operation have enormous complexity, due to the huge state space, the lack of global network state information at the decision units, the decentralized operation and resource constraints of wireless devices, thus requiring a holistic approach for network control and design. In this talk, I will present a principled framework for joint distributed sensing, estimation and control in wireless networks, which captures the interplay between state estimation and control and accounts for cross-layer factors such as the cost of acquisition of state information and the shared wireless channel.

The framework will be applied to a spectrum sensing-scheduling application, where a network of secondary users (SUs) attempts to opportunistically access portions of the spectrum left unused by a licensed network of primary users (PUs). Adaptive spectrum sensing and scheduling schemes are jointly optimized so as to maximize the SU throughput, subject to constraints on the PU throughput degradation and the sensing-transmission cost incurred by the SUs. I will show how low-complexity can be achieved by exploiting a large network approximation, a two-stage decomposition of the dynamic programming algorithm, as well as sparsity of network dynamics enabling efficient state estimation via sparse recovery techniques. Additionally, I will present a novel multiscale approach for spectrum sensing in large wireless networks, by which SUs maintain fine-grained estimates of the spectrum occupancy of nearby cells but coarse-grained estimates of that of distant cells. The cellular network is arranged into a hierarchy of increasingly coarse macrocells and SUs fuse local spectrum observations up the hierarchy. A probabilistic framework for spectrum sensing and information exchange is defined, which balances optimally improvements in spectrum estimation against energy costs.

About Nicolò Michelusi:

photo of  nicolo michelusi Nicolò Michelusi is currently a post-doctoral research fellow at the Ming Hsieh Department of Electrical Engineering, University of Southern California working with Prof. Urbashi Mitra. He received the following degrees from the University of Padova: BS with honors in Electrical Engineering (2006), MS with honors in Telecommunication Engineering (2009), and PhD in Electrical Engineering (2013). He also has a second MS from the Technical University of Denmark, as a part of T.I.M.E. double degree program. In 2011, he was a visiting research scholar in Urbashi Mitra's group and in Fall 2012, he was a visiting research scholar at Aalborg University, Denmark, where he worked with Prof. Petar Popovski. He is the recipient of a scholarship from the Fondazione Ing. Aldo Gini (2010) and was awarded the Toni Mian scholarship for the best Master's thesis in Information Engineering from University of Padova, Italy in March 2010. In November 2013, he was awarded the Isabella Sassi Bonadonna award by the Italian Association of Electronics, Automation, Informatics and Communications (AEIT), to support his research at USC (16.000$ award).

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