Events for December
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Professor Robert A. Scholtz Remarkable Trajectory Lecture
Tue, Dec 03, 2019 @ 03:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Robert A. Scholtz, Professor Emeritus of Electrical and Computer Engineering
Talk Title: How I Got Into Impulse Radio: The Education Of One Communication Theorist
Abstract: This talk chronicles key events in the life and career of Dr. Scholtz, culminating in his research on ultrawideband (UWB) radio. Commentary includes a little bit of technology history, significant influences in his career, formation of the Communication Sciences Institute and the UltRa Lab, interactions with the FCC, and much more. By the way, what is this new U1 chip in the iPhone 11?
Reception following immediately afterwards in EEB Courtyard.
Host: Remarkable Trajectory Lecture Series
Webcast: https://bluejeans.com/657728811More Information: remarkable-trajectory-RAS.jpg
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://bluejeans.com/657728811
Audiences: Everyone Is Invited
Posted By: Mayumi Thrasher
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Dec 04, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Neelesh B. Mehta, ECE Department, Indian Institute of Science, Bangalore
Talk Title: Transmit Antenna Selection in Underlay Spectrum Sharing: Role of Interference Constraint, Channel State Information, and Power Adaptation
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Spectrum sharing mitigates the scarcity of radio spectrum by enabling different classes of users to utilize spectrum together without exclusively and inefficiently allocating the spectrum to just one class of users. In the underlay paradigm of spectrum sharing, a low priority secondary user can transmit concurrently in the same spectrum as a high priority primary user but must ensure that the interference it causes to the primary receiver is constrained. We investigate transmit antenna selection to improve the performance of such interference-constrained underlay spectrum sharing systems. It exploits the spatial diversity afforded by multiple antennas but with much less hardware.
We characterize the optimal antenna selection and power adaptation rules for several stochastic interference constraints. The fact that the choice of the antenna at the secondary transmitter is driven not just by the channel gains from it to the secondary receiver's antennas, but also by the interference it causes to the primary receiver makes the class of problems that we study interesting and novel. The optimal antenna selection and power adaptation rules that we arrive at differ significantly from the ad hoc approaches pursued in the literature and lead to markedly lower symbol error rates. They bring out the significant and varied influence the triumvirate of interference constraint, channel state information, and power adaptation has on antenna selection.
Biography: Neelesh B. Mehta is a Professor in the Department of Electrical Communication Engineering at the Indian Institute of Science, Bangalore. Prior to joining IISc in 2007, he worked at AT&T Research Labs, Broadcom Corp., and Mitsubishi Electric Research Labs in USA for 7 years. He received his PhD degree from the California Institute of Technology, Pasadena, USA in 2001 and his B.Tech. degree from the Indian Institute of Technology (IIT) Madras in 1996.
His research focuses on wireless communications. He has worked on topics related to 3G, 4G, and 5G cellular communication standards, energy harvesting and green wireless sensor networks, cognitive radio, cooperative communications, multi-antenna technologies, and multiple access protocols.
He is a Fellow of the IEEE, Indian National Science Academy (INSA), Indian National Academy of Engineering (INAE), and the National Academy of Sciences India (NASI). He is a recipient of several awards such as the Shanti Swarup Bhatnagar Award, Swarnajayanti Fellowship, Khosla National Award, and Vikram Sarabhai Research Award. He served on the Executive Editorial Committee of the IEEE Transactions on Wireless Communications during 2014-17 and served as its Chair during 2017-18. He also served on the Board of Governors of the IEEE Communications Society from 2012-15.
Host: Paul Bogdan, pbogdan@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Talyia Veal
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Thu, Dec 05, 2019 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Lara Dolecek, University of California, Los Angeles
Talk Title: Context-Aware Coding for Computing Memories
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Error correction and detection are the core components of all modern memory systems. Current computing memory systems use simple coding schemes to simultaneously meet the resiliency and latency requirements. In this talk, we review our recent results on context-aware coding for computing memories, an approach that explicitly takes into account various intrinsic side information for improved robustness to faults. We discuss both error correction and detection, codes' theoretical properties, and provide examples of how these solutions can be implemented in practice. We explicitly describe the special case of the error localization codes. We also discuss promising future directions, connections with classical information theoretic concepts, and other applications. Joint work with C. Schoeny, M. Gottscho, I. Alam, and P. Gupta.
Biography: Lara Dolecek is a professor with the Electrical and Computer Engineering Department at UCLA. She received her BS, MS, and PhD degrees in EECS as well as an MA degree in Statistics, all from UC Berkeley. She is a recipient of several research and teaching awards including NSF CAREER, IBM Faculty Award, Intel Early Career Faculty Award, Okawa Research Grant, and UCLA Northrop Grumman Excellence in Teaching Award. With her research group and collaborators, she received numerous best paper awards. Her research interests include coding methods with applications to memories and storage, computing, quantum systems, and machine learning.
Host: Salman Avestmehr, avestime@usc.edu
Location: Michelson Center for Convergent Bioscience (MCB) - 101
Audiences: Everyone Is Invited
Posted By: Talyia White
