Past Events

Session Description:In this session, we introduce how you can use MathWorks tools to design, refine and implement your algorithms in MATLAB. We will cover the following three topics: You will learn how to package your MATLAB functions as standalone applications, C or C++ libraries or software components withMATLAB Compiler. We will showcase how you can automatically generate C source code from a subset of MATLAB language called the Embedded MATLAB. The generated C source code can then be implemented on DSPs, general-purpose or target processors.

An important property of the wireless medium is that the transmitted packets are heard not only by their intended recipients but also by otherneighboring nodes. In cooperative broadcast, the unintended messages are exploited in order to deliver a source message to the entire network with the help of relays. This is also known as physical layer cooperation. A fundamental problem in relay networks is determining the broadcast capacity, i.e. the maximum data transfer rate from a given node to every other node in the network.

We explore multiple ways of achieving utility-based fairness in wireless mesh networksof 802.11-based devices. First, we show the log-convexity of the rate- region and use this forachieving utility fair solutions for the family of iso-elastic of utility functions with elasticity lower than 1.We then use the log-convexity characterization to achieve the max-min fair solution. We then proveconvexity of the non-achievable rate-region of a WLAN and use that to achieve utility fairness forutility functions that do not correspond to the special family above.

MIMO (multiple-input multiple-output) technology has brought profound changes to the wireless communication landscape. From the initialdesign goals of maximizing the diversity or multiplexing gain, MIMOresearch focus has moved on to non-vanishing determinant codes,fast-decodable codes, multi-user MIMO broadcast, MIMO relaying forcooperative diversity, and multi-cell MIMO for interference management, etc. In this talk, I will present some of the MIMOresearch works conducted by us in recent years. They include: 1.

The talk will present a new approach for colocated multiple-input multiple-output (MIMO) radar using compressive sensing (CS). CS-based MIMO radar exploit the sparsity of targets in the illuminated space to achieve the same localization performance as traditional MIMO radar but withsignificantly fewer measurements. Each receive node of the MIMO radar compresses the received signal via a linear transformation, referred to as measurement matrix.

This first-ever seminar will focus on how one starts a company in the wireless sector, along with first hand accounts of the thrill of seeing your dream become a real company with officers, payroll, and a product. After 3 mini lectures, pizza will be served and a panel including the speakers and WNCG student entrepreneurs will share anecdotes from their experience and answer questions from the audience. This will go on until 1pm.Panelists: TBD

In this talk we consider the problem of decentralized control of linearsystems. We employ the theory of partially ordered sets to model and analyzea class of decentralized control problems. Posets have attractivecombinatorial and algebraic properties; the combinatorial structure enablesus to model a rich class of communication structures in systems, and thealgebraic structure allows us to reparametrize optimal control problems toconvex problems.

TBA

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