Seminar SeriesThe CWC Communications and Networking Seminar Series meets 2-3 times a quarter and features invited speakers from around the world in addition to professional development workshops and events. The CWC Communications and Networking Seminar Series is run by graduate students at the ECE department at UCSD and is supported by the Center for Wireless Communications. Graduate student organizers select and invite speakers who would of interest to CWC faculty, researchers, and students. They also have the opportunity to meet with the speakers over lunch or dinner (interested students should contact the student host).
Friday, November 2, 2012Nov 2, 2012 ReviewAbstract Morning presentations 8:30 Continental breakfast 9:00 Welcome 9:05 Content-centric message forwarding in ad-hoc networks, Rene Cruz, UCSD 9:33 Ultra-low-power radios for miniaturized wireless systems, Patrick Mercier, UCSD 10:01 Cloud mobile media: opportunities and challenges, Sujit Dey, UCSD 10:29 Break 10:44 Qualcomm Research: Radios and a whole lot more, Charles Bergan, Qualcomm 11:12 Real-time communication over unreliable wireless channels, P.R. Kumar, Texas A&M 11:40 Device-to-device and relay-enhanced cellular architecture - Larry Milstein 12:00 Lunch Afternoon project reviews 1:00 Switching-mode power amplifiers for multiband applications - Peter Asbeck 1:20 Enabling circuits for wideband wireless communications - Ian Galton 1:40 Towards enabling personalized and interactive video services - Sujit Dey 2:00 Next generation cognitive networks - Bhaskar Rao 2:20 Break 2:30 1-minute poster overviews 3:00 Posters and demos 3:50 Reception
Friday, October 26, 2012Towards Computational Sensing through large number of Networked SensorsProf. Lin ZhangHost: Prof. Young-Han Kim Abstract Today, Internet users and networked sensors generate hundreds of gigabytes of data every minute, yet people are still feeling lost in an ocean of data, sometimes being starved of knowledge. In this talk, I will try to convince the audience, by sharing some experimental results in the systems the we developed and deployed in the past few years, that a surprisingly better understanding of the reality could be attained by performing state-of-art algorithms over large volume of data collected through networked sensors. I will show two cases: one is a structure safety sensing system in the Tsinghua EE Hall and the other is a larger scale taxi-based sensing system in Beijing. Both cases show the power of cross-domain data correlation and analysis. Then, the idea of people-in-the-loop sensing will be presented by elaborating a smart building control experiment that is now conducted in the EE Halls on the Tsinghua and UC Berkeley campuses. Finally, I will argue that a united theoretical framework that merges the Information Theory and the Machine Learning would be of great importance to this new emerging field, the birth of which is probably around the corner and relying on high performance computing that is becoming powerful and cheaper. Bio Lin Zhang received all his degrees from Tsinghua University in Beijing (B.Sc. '98, M.Sc. '01, Ph.D. '06) and is currently an associate professor at Tsinghua University and a visiting associate professor at Stanford University. His current research focuses on wireless sensor networks, distributed data processing, and information theory. He is a co-author of more than 40 peer-reviewed technical papers and five U.S. or Chinese patents applications. Lin and his team were also the winner of IEEE/ACM SenSys 2010 Best Demo Awards. In 2006 Lin led a 2008 Beijing Olympic Stadium (the "Bird's Nest”) structural security surveillance project, which deployed more than 400 wireless temperature and tension sensors across the stadium's steel support structure and dome. The system adopted a flexible spectrum sensing and adaptive multi-hop routing algorithm to overcome strong radio interference and long-distance transmission channel-fading, and played a critical role in the construction of the stadium. Since then he has implemented wireless sensor networks in a wide range of application scenarios, including underground mine security, precision agriculture, and industrial monitoring. Since 2008 Lin has been working in close association with CISCO to develop a Metropolitan Area Sensing and Operating Network (MASON). MASON provides a smart-city and intelligent-urbanization sensor network system for metropolitan areas. MASON has attracted the interest of several large-sized Chinese cities, including Beijing, Shenzhen, Tianjing, and Chengdu. Recently he also has led two National Science Foundation of China projects, three National High-Tech Developing (863) projects, and more than 10 research projects funded primarily by private industry in the area of wireless sensor networks. At Tsinghua University Lin has been happily teaching Selected Topics in Communication Networks (40230992) and Information Theory (70230063) to senior undergraduate and graduate students, for the past years. In 2004 and 2010, he received Excellent Teacher Awards from Tsinghua University.
Thursday, October 25, 2012Three Open Problems in Network CommunicationMichael LangbergAbstract In this talk I will discuss three natural open questions in the context of multi-source/ multi-terminal network communication via network coding. (a) What is the maximum loss in communication rate experienced from removing a single unit capacity edge from a given network? (b) What is the maximum loss in rate when insisting on zero error communication as opposed to vanishing decoding error? (c) What is the maximum loss in rate when comparing the communication of source information that is ``almost' independent to that of independent source information? Recent results including intriguing connections between the three questions will be presented. Based on joint work with Michelle Effros. Bio Michael Langberg is an Associate Professor in the Mathematics and Computer Science department at the Open University of Israel. Previously, between 2003 and 2006, he was a postdoctoral scholar in the Computer Science and Electrical Engineering departments at the California Institute of Technology. He received his B.Sc. in mathematics and computer science from Tel-Aviv University in 1996, and his M.Sc. and Ph.D. in computer science from the Weizmann Institute of Science in 1998 and 2003 respectively. Prof. Langberg's research is in the fields of Information Theory and Theoretical Computer Science. His work focuses on the design and analysis of algorithms for combinatorial problems; emphasizing on algorithmic and combinatorial aspects of Information Theory, and on probabilistic methods in combinatorics.
Thursday, October 4, 2012Queue-Size Scaling in Switched NetworksDevavrat ShahAbstract We consider a switched (queueing) network in which there are constraints on which queues may be served simultaneously; such networks have been used to effectively model input-queued switches, wireless networks and more recently data-centers. The scheduling policy for such a network specifies which queues to serve at any point in time, based on the current state or past history of the system. As the main result, we shall discuss a new class of online scheduling policies that achieve optimal scaling for average queue-size for a class of switched networks including input-queued switches. Time permitting, we shall discuss various exciting open questions in the domain of stochastic networks. This is based on joint work with Neil Walton (Univ of Amsterdam) and Yuan Zhong (MIT). Bio Devavrat Shah is currently a Jamieson associate professor with the department of electrical engineering and computer science, MIT. He is a member of the Laboratory for Information and Decision Systems (LIDS) and Operations Research Center (ORC). His research focus is on theory of large complex networks which includes network algorithms and statistical inference. He has received 2008 ACM Sigmetrics Rising Star Award and 2010 Erlang Prize from the Applied Probability Society of INFORMS. He currently serves as an associate editor of Operations Research, Queueing Systems and IEEE Transactions on Information Theory.
Tuesday, August 14, 2012Long Range Dependent Markov ModelsBarlas OguzAbstract We discuss countable state Markov chains as a flexible class of models for long range dependent sources. We state sufficient conditions under which an instantaneous function of a long range dependent Markov chain has the same Hurst index as the underlying chain. We discuss several applications of the theorem in the fields of information theory, queuing networks, and finance. Bio Barlas Oguz graduated from Bilkent University in 2007 where he completed his undergraduate studies in Electrical Engineering. He went on to continue his studies at the University of California Berkeley, where he is currently finalizing his PhD. His current research interests include probability theory and stochastic processes with applications in information theory and communication networks. Specifically, he is developing new models for network traffic and information sources that exhibit heavy dependence over time and investigating the consequences of this dependence in contrast to more traditional models.
Friday, June 15, 2012On q-ary Antipodal Matchings and ApplicationsGadiel SeroussiAbstract We define a q-ary antipodal matching to be a perfect matching in the bipartite graph with vertices corresponding to words of length m over the integer alphabet Q={0,1,...,q-1} wherein the left and right vertices are those with respective component sums greater and smaller than m(q-1)/2, and wherein two vertices are connected by an edge if one of the corresponding words dominates the other. We present two different constructions of efficiently computable q-ary antipodal matchings. We then show how such matchings can be used for encoding arbitrary data into n x n arrays over the alphabet Q all of whose row and column sums are at most n(q-1)/2. Such encoders might be useful for mitigating parasitic currents in a next generation memory technology based on crossbar arrays of resistive devices. (Joint work with Erik Ordentlich and Ronny Roth.) Bio Dr. Gadiel Seroussi received his B.Sc. degree in Electrical Engineering, and his M.Sc. and D.Sc. degrees in Computer Science from Technion – Israel Institute of Technology, Haifa, Israel, in 1977, 1979, and 1981,respectively. From 1981 to 1987 he was with the faculty of the Computer Science Department at Technion. During the 1982--1983 academic year, he was a Postdoctoral Fellow at the IBM T.J. Watson Research Center, Yorktown Heights, NY. From 1986 to 1988 he was a Senior Research Scientist at Cyclotomics Inc., Berkeley, CA. Since 1988 he has been with Hewlett--Packard Laboratories, Palo Alto, California, where he founded the Information Theory Research Group and was its director until 2005. During the 2005--2006 academic year, he was Associate Director of the Mathematical Sciences Research Institute in Berkeley, California. Since 2004, he has held a joint appointment in Computer Science and Electrical Engineering at Universidad de la Rep'ublica, Montevideo, Uruguay. He is a co-author of the book Elliptic Curves in Cryptography (1999), and a co-editor of Advances in Elliptic Curve Cryptography (2005), both published by Cambridge University Press. His research interests include the mathematical foundations and practical applications of information theory, error correcting codes, data compression, image processing, and cryptography. Dr. Seroussi served as Associate Editor for Coding Theory of the IEEE Transactions on Information Theory from 2006 to 2009. He is a co-recipient of the 2006 IEEE Joint Communications/Information Theory Paper Award.
Monday, June 11, 2012Data Compression and SecrecyPrakash NarayanAbstract The multiterminal data compression problem of attaining omniscience and the secrecy problems of secret key generation and secure computing might suggest contrasting communication requirements. In fact, they are innately coupled. In this talk, we discuss connections between omniscience attainment by multiple terminals which observe separate but correlated signals, and secret key generation and secure function computation by those terminals, all in a distributed manner. Simple constructive schemes that are motivated by these connections will be described for elementary models. The talk is based on joint works with Imre Csiszár, Sirin Nitinawarat, Himanshu Tyagi and Chunxuan Ye. Bio Prakash Narayan received the Bachelor of Technology degree in Electrical Engineering from the Indian Institute of Technology, Madras in 1976, and the M.S. and D.Sc. degrees in Systems Science and Mathematics, and Electrical Engineering, respectively, from Washington University, St. Louis, MO, in 1978 and 1981. He is Professor of Electrical and Computer Engineering at the University of Maryland, College Park, with a joint appointment at the Institute for Systems Research. His research interests are in multiuser information theory, communication theory, communication networks, cryptography, and information theory and statistics. He has held visiting appointments at ETH, Zurich; the Technion, Haifa; the Renyi Institute of the Hungarian Academy of Sciences, Budapest; the University of Bielefeld; the Institute of Biomedical Engineering (formerly LADSEB), Padova; and the Indian Institute of Science, Bangalore. Narayan has served as Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory; Co-Organizer of the IEEE Workshop on Multi-User Information Theory and Systems, VA (1983); Technical Program Chair of the IEEE/IMS Workshop on Information Theory and Statistics, VA (1994); General Co-Chair of the IEEE International Symposium on Information Theory, Washington, D.C. (2001); Technical Program Co-Chair of the IEEE Information Theory Workshop, Bangalore (2002); and currently serves on the Board of Governors of the IEEE Information Theory Society. He is a Fellow of the IEEE.
Monday, April 30, 2012On Source-Channel Communication in NetworksJun ChenAbstract This talk is divided into two parts. In the first part of this talk, I will present several results on the optimality and approximate optimality of the source-channel separation architecture for lossy source coding in general networks. These results are shown without explicitly characterizing the achievable joint source-channel coding distortion region or the achievable separation-based coding distortion region. The second part of this talk is devoted to the problem of sending two correlated vector Gaussian sources over a bandwidth matched two-user scalar Gaussian broadcast channel, where each receiver wishes to reconstruct its target source under a covariance distortion constraint. I will present a lower bound on the optimal tradeoff between the transmit power and the achievable reconstruction distortion pair. The derivation of this lower bound is based on a new bounding technique which involves the introduction of appropriate remote sources. Furthermore, it is shown that this lower bound is achievable by a class of hybrid schemes for the special case where the weak receiver wishes to reconstruct a scalar source under the mean squared error distortion constraint. This talk is based on joint work with Lin Song, Chao Tian, Suhas Diggavi, and Shlomo Shamai. Bio Jun Chen received the B.E. degree with honors in communication engineering from Shanghai Jiao Tong University, Shanghai, China, in 2001 and the M.S. and Ph.D. degrees in electrical and computer engineering from Cornell University, Ithaca, NY, in 2004 and 2006, respectively. He was a Postdoctoral Research Associate in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign, Urbana, IL, from 2005 to 2006, and a Postdoctoral Fellow at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY, from 2006 to 2007. He is currently an Assistant Professor of Electrical and Computer Engineering at McMaster University, Hamilton, ON, Canada. He holds the Barber-Gennum Chair in Information Technology. His research interests include information theory, wireless communications, and signal processing. He received several awards for his research, including the Josef Raviv Memorial Postdoctoral Fellowship (2006), the Early Research Award from the Province of Ontario (2010), and the IBM faculty award (2010).
Monday, April 2, 2012On the Development of Tools for System DesignAlessandro Pinto, Systems Department, United Technologies Research CenterHost: Lorenzo Coviello Abstract The design of large systems is divided into vertical refinement steps. The system is also partitioned into sub-systems that are designed in isolation and integrated in the prototyping and testing phase. Many design projects, commercial and military, incur in cost and schedule overruns mainly caused by errors discovered during testing. The correction of such errors typically requires undergoing long re-design cycles. The use of an appropriate methodology supported by tools can help avoiding these problems. In this talk, we present a language for the contract-based specification of components and product families and we show how architectures can be checked for correctness. The language allows capturing static properties that are the ones typically considered in the preliminary design of systems. We then present methods to design and verify systems when dynamics and uncertainty are taken into account. Given the expressiveness required to capture realistic systems, analysis methods do not scale suggesting synthesis approaches as promising techniques to refine a system through abstraction layers. It turns out that the selection of such abstraction layers is hard, mainly due to lack of abstract yet “meaningful” models. Bio Alessandro Pinto is a researcher in the Systems Department at the United Technologies Research Center (UTRC) Inc., Berkeley, California. His research interests are in the area of computer aided design for cyber-physical systems with particular emphasis on autonomous systems. He received a Ph.D. degree in Electrical Engineering and Computer Sciences from the University of California at Berkeley in 2008, and a M.S. degree in Electrical Engineering in 2003 from the same University. He holds a Laurea degree from the University of Rome “La Sapienza”. From 1999 to 2001, he was a consultant at Ericsson Lab Italy in Rome, Italy, working on the design of system-on-chips and wireless access networks.
Wednesday, December 7, 2011Photonics based Telemedicine Technologies toward Smart Global Health SystemsAydogan Ozcan, Bioengineering Department, California NanoSystems Institute, UCLAHost: Mehmet Parlak Abstract Today there are more than 5 billion cell-phone users in the world, and the majority of these cellphones are being used in the developing parts of the world. This massive volume of wireless phone communication brings an enormous cost-reduction to cellphones despite their sophisticated hardware and software capabilities. Quite importantly, most of these existing cellphones are also already equipped with advanced digital imaging and sensing platforms that can be utilized for various health monitoring applications. This impressive advancement is one of the central building blocks of the emerging fields of Telemedicine and Wireless Health. The success of these fields will surely increase the quality of health care and reduce the insurance costs in developed countries like the United States, however, their most important and immediate impact will be to provide breakthrough technological solutions to various Global Health Problems including infectious diseases such as HIV, TB or malaria. Specifically, utilizing this advanced state of the art of the cell phone technology towards point-of-care diagnostics andor microscopic imaging applications can offer numerous opportunities to improve health care especially in the developing world where medical facilities and infrastructure are extremely limited or even do not exist. Centered on this vision, in this talk I will introduce fundamentally new imaging and detection architectures that can compensate in the digital domain for the lack of complexity of optical components by use of novel theories and numerical algorithms to address the immediate needs and requirements of Telemedicine for Global Health Problems. Specifically, I will present an on-chip cytometry and microscopy platform that utilizes cost-effective and compact components to enable digital recognition and 3D microscopic imaging of cells with sub-cellular resolution over a large field of view without the need for any lenses, bulky optical components or coherent sources such as lasers. This incoherent holographic imaging and diagnostic modality has orders of magnitude improved light collection efficiency and is robust to misalignments which eliminates potential imaging artifacts or the need for realignment, making it highly suitable for field use. Applications of this lensfree on-chip microscopy platform to high-throughput imaging and automated counting of whole blood cells, monitoring of HIV+ patients (through CD4 and CD8 T cell counting) and detection of waterborne parasites towards rapid screening of water quality will also be demonstrated. Further, I will discuss lensfree implementations of various other computational imaging modalities on the same platform such as pixel super-resolution imaging, lensfree on-chip tomography, holographic opto-fluidic microscopytomography. Finally, I will demonstrate lensfree on-chip imaging of fluorescently labeled cells over an ultra wide field of view of >8 cm2, which could be especially important for rare cell analysis (e.g., detection of circulating tumor cells), as well as for high-throughput screening of DNA/protein micro-arrays. Bio Dr. Aydogan Ozcan received his Ph.D. degree at Stanford University Electrical Engineering Department in 2005. After a short post-doctoral fellowship at Stanford University, he is appointed as a Research Faculty Member at Harvard Medical School, Wellman Center for Photomedicine in 2006. Dr. Ozcan joined UCLA in the summer of 2007, where he is currently an Associate Professor leading the Bio- and Nano-Photonics Laboratory at the Electrical Engineering and Bioengineering Departments. Dr. Ozcan holds 17 issued patents and another 12 pending patent applications for his inventions in nanoscopy, wide-field imaging, lensless imaging, nonlinear optics, fiber optics, and optical coherence tomography. Dr. Ozcan is also the author of one book and the co-author of more than 200 peer reviewed research articles in major scientific journals and conferences. In addition, Dr. Ozcan is the founder and a member of the Board of Directors of Microskia Inc., and is a member of the program committee of SPIE Photonics West Conference, SPIE International Symposium on Defense, Security and Sensing, as well as the IEEE Photonics Society Annual Meeting. He also serves as a panelist and a reviewer for National Science Foundation, NIH and for Harvard-MIT Innovative Technology for Medicine Program. Prof. Ozcan also served as the General co-Chair of 2010 IEEE Winter Topical Meeting on Advanced Imaging in BioPhotonics. Prof. Ozcan received several major awards including the 2011 Presidential Early Career Award for Scientists and Engineers (PECASE), which is the highest honor bestowed by the United States government on science and engineering professionals in the early stages of their independent research careers. Dr. Ozcan received this prestigious award for developing innovative optical technologies and signal processing approaches that have the potential to make a significant impact in biological science and medicine; addressing public health needs in less developed countries; and service to the optical science community including mentoring and support for underserved minority undergraduate and graduate students. Furthermore, Dr. Ozcan also received the 2011 SPIE Early Career Achievement Award, the 2011 Army Research Office (ARO) Young Investigator Award, the 2010 NSF CAREER Award, the 2009 NIH Director’s New Innovator Award, the 2009 Office of Naval Research (ONR) Young Investigator Award, the 2009 IEEE Photonics Society (LEOS) Young Investigator Award and the MIT’s Technology Review TR35 Award for his seminal contributions to near-field and on-chip imaging, and telemedicine based diagnostics. Prof. Ozcan is also the recipient of the 2010 National Geographic Emerging Explorer Award, the 2010 Bill & Melinda Gates Foundation Grand Challenges Award, the 2010 Popular Mechanics Breakthrough Award, the 2010 Netexplorateur Award given by the Netexplorateur Observatory & Forum in France, the 2011 Regional Health Care Innovation Challenge Award given by The von Liebig Center at UCSD, the 2010 PopTech Science and Public Leaders Fellowship, the 2010 USC’s Body Computing Slam Prize, and the 2009 Wireless Innovation Award organized by the Vodafone Americas Foundation as well as the 2008 Okawa Foundation Award, given by the Okawa Foundation in Japan. Prof. Ozcan was also selected as one of the top 10 innovators by the U.S. Department of State, USAID, NASA, and NIKE as part of the LAUNCH: Health Forum organized in October 2010. Dr. Ozcan is a Senior Member of IEEE and SPIE, and a member of LEOS, EMBS, OSA, and BMES.
Friday, November 4, 2011Nov 4, 2011 Review Agenda
Friday, May 27, 2011Cascades in Networks and Aggregate VolatilityProf. Alireza Tahbaz-SalehiHost: Lorenzo Coviello Abstract one of the main features of all modern economies is the very high level of interconnectivity between different firms and sectors, as a firm's production depends on a rich array of intermediate goods, as well as financial and other services provided by different sectors in the economy. In this talk, I provide a general framework for the study of cascade effects created by such interconnections. Focusing on a competitive multi-sector economy where firms use outputs of other sectors as intermediate goods for production, I show how structural properties of the network determine whether aggregate volatility vanishes as the number of sectors increases, as well as the rate at which this happens. Our main results characterize how aggregate volatility is related to first- and higher-order interconnections between different sectors. Such a characterization enables us to determine which supply networks are more conducive to propagation of technological shocks across the economy, and thus, lead to more fluctuations at the aggregate level. We also link the probabilities of tail events (large negative deviations of aggregate output from its mean) to sector-specific volatility and to the structural properties of the supply network. Finally, by investigating the input-output structure of the US economy, we show that higher-order interconnections between different firms can indeed generate significant aggregate fluctuations from sectoral shocks. This is a joint work with Daron Acemoglu and Asuman Ozdaglar. Bio Alireza Tahbaz-Salehi is a Post-doctoral Associate at the Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology (MIT), where he works with Professors Daron Acemoglu and Asuman Ozdaglar. Alireza received his Ph.D. in Electrical and Systems Engineering from University of Pennsylvania in 2009, under the supervision of Professor Ali Jadbabaie. In Fall 2011, he will be joining the Columbia Graduate School of Business as an Assistant Professor of Decision, Risk and Operations. His research interests include theoretical and applied microeconomics, social and economic networks, decision theory and game theory.
Tuesday, April 19, 2011Reducing Beamformer Selection Complexity in Multiple Antenna SystemsProf. David J. Love, Purdue UniversityHost: Eitan Yaakobi Abstract beamforming is a critical spatial processing technique employed in a variety of multiple antenna wireless applications. A major issue is properly designing the beamforming vector, especially when faced with imperfect channel knowledge assumptions. In this talk, we deal with two specific beamforming design scenarios. The first addresses the problem of choosing a beamforming vector using finite rate feedback with a large number of antennas. Because the beamformer search complexity grows exponentially with the number of antennas, we propose new reduced complexity techniques based on trellis coded line packing. The second addresses the problem of beamforming in mmWave applications. In this scenario, maintaining a large beamforming gain is critical to prevent link outage. However, it is impractical to sound the entire channel matrix. To deal with this we propose, a new multiphase beamforming alignment algorithm. Bio David J. Love received the B.S. (with highest honors), M.S.E., and Ph.D. degrees in electrical engineering from the University of Texas at Austin in 2000, 2002, and 2004, respectively. Since August 2004, he has been with the School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, where he is now an Associate Professor. Dr. Love currently serves as an Associate Editor for the IEEE Transactions on Signal Processing and the IEEE Transactions on Communications. He has also served as a guest editor for special issues of the IEEE Journal on Selected Areas in Communications and the EURASIP Journal on Wireless Communications and Networking. His research interests are in the design and analysis of communication systems, MIMO array processing, and array processing for medical imaging. Dr. Love is a Senior Member of the IEEE. Along with co-authors, he was awarded the 2009 IEEE Transactions on Vehicular Technology Jack Neubauer Memorial Award for the best systems paper published in the IEEE Transactions on Vehicular Technology in that year. He was the recipient of the Fall 2010 Purdue HKN Outstanding Teacher Award. In 2003, Dr. Love was awarded the IEEE Vehicular Technology Society Daniel Noble Fellowship.
Friday, April 8, 2011MILLIMETER-WAVE MOBILE BROADBAND – UNLEASHING THE 3–300 GHz SPECTRUM FOR MOBILE COMMUNICATIONZHOUYUE PI : Director, Samsung R&D Center, Dallas, TexasFAROOQ KHAN : Senior Director, Samsung R&D Center, Dallas, Texas Abstract Almost all cellular mobile communications -- including first generation analog systems, second generation digital systems, third generation WCDMA systems and fourth generation OFDMA systems -- use an Ultra High Frequency (UHF) band of radio spectrum with frequencies in the range of 300MHz-3GHz. This band of spectrum is becoming increasingly crowded due to spectacular growth in mobile data services. The portion of the RF spectrum above 3GHz has been largely unexploited for commercial mobile applications. In this tutorial, we discuss propagation and device technology challenges associated with this band, as well as its unique advantages such as spectrum availability and small component sizes for mobile applications. We also present a practical millimeter-wave mobile broadband (MMB) system that can achieve multi-Gbps data communications in an urban environment. Download presentation
Tuesday, March 8, 2011Emerging ADCsProf. Un-Ku Moon, Oregon State UniversityHost: Nevena Rakuljic Abstract Most analog IC designers and students are drawn to ADCs. While some ADC realizations have had a lasting impact, examples including pipelined ADCs with digital redundancy, flash ADCs with folding and interpolation, and multi-bit delta-sigma modulators with dynamic element matching, there are many more recent and emerging ADC design techniques that are receiving much attention and also gaining momentum in some areas. Many of these ideas are showered with doubts and honest criticism. However, we may also be entering a new era where a few of these developments would help resolve the tough submicron scaling challenge that analog designers face today. This talk will summarize and ponder the impact of a few selective as well as random slices of these emerging ADC designs. Bio Prof. Un-Ku Moon has been with the Oregon State University since 1998. Prior to that, he was with Bell Labs 1988-1989 and 1994-1998. He received a bachelor's degree from the University of Washington, a master's degree from Cornell University, and a Ph.D. from the University of Illinois, Urbana-Champaign. Prof. Moon's past work includes highly linear and tunable continuous-time filters (Ph.D. work), telecommunication circuits including timing recovery and analog-to-digital converters (a bit of Ph.D. work), frequency synthesizers, and switched-capacitor circuits. His current research interests include high-frequency switched-capacitor filters, low-voltage switched-capacitor circuits, high-resolution and oversampling data converters, and highly linear continuous-time filters.
Monday, February 28, 2011Workshop on SILICON AND SYSTEMS IN PACKAGE TECHNOLOGIES FOR RF TRANSMISSION MODULES.Dr. Antonino Scuderi, ST MicroelectronicsHost: Arline Allen Abstract This workshop will present the latest market trends, design concepts and developments in RF module/RFIC power amplifiers as well as base-stations covering the RF system requirements for multi-mode and multiband power amplifiers and FEM from a silicon-maker perspective. Despite the market domain of GaAs and InGap HBT for RF PAs, silicon-based solutions are mature enough to compete against other non-silicon technologies and could be used widely in handheld cell-phones exploiting some new developments in device technologies and circuit solutions, as well as system-level improvements. Challenges remain in terms of output power, efficiency, linearity, mismatch handling, bias and control techniques, and multimode and multiband capability. All of them will be analyzed and, after a brief review of basic concepts, the workshop will present and discuss technology and circuital mitigation techniques, as well as the advantages and disadvantages of CMOS and silicon-based power amplifiers. New devices such as GaN HeMT will be introduced, as well as packaging techniques for FEM. Switches and filters are widely used inside FEM and, after a brief introduction, their related technologies will be compared. The workshop will conclude by showing some examples of high-end last generation mobile phones. Bio Antonino Scuderi was born in Catania, Italy, in 1972. He received the Laurea degree in electronics engineering (cum laude) from the University of Catania, Catania, Italy, in 1997. From 1999 to 2005, he was with the Radio Frequency Advanced Design Center (RF-ADC), a joint research center supported by the University of Catania and STMicroelectronics, where he managed the STMicroelectronics RF PA advanced design team. In 2006 he received the Ph.D. degree in electronics and automation engineering at the University of Catania. Since 2006 he has been with STMicroelectronics, where he served as manager of RF power developments until 2009. Currently, he is the senior manager of microsystems developments in the fields of power RF, power compounds, flexible electronics and healthcare. He is the author of 38 scientific papers and holds eight industrial patents.
Thursday, February 17, 2011Microelectronics: A Changing Playing Field with Many R&D Opportunities.Dr. Andreia Cathelin, ST MicroelectronicsHost: Arline Allen Abstract The semiconductor business landscape evolution ST overview and strategy R&D focus areas Bio Andreia Cathelin (M’04) started her electronic studies at the Polytechnic Institute of Bucarest, Romania and graduated from the Institut Supérieur d’Electronique du Nord (ISEN), Lille, France in 1994. In 1998, she received the Ph. D. degree from IEMNISEN, Lille, France regarding the work on a fully-integrated BiCMOS low power – low voltage FMRDS receiver. From 1997 till 1998, she was with Info Technologies, Gradignan, France, working on analog and RF communications design. Since 1998, she has been with ST Microelectronics, Crolles, France, now in the Technology R&D, Central CAD and Design Solutions, Innovation & External Research design team. Andreia is a senior design expert and her major fields of interest are RF and mmW systems for wireless communications, MEMS devices co-integration and SOI technologies. She is a member of the Technical Program Committee of ISSCC, VLSI Symposium on Circuits and ESSCIRC. She is member of the experts’ team of the AERES (French Evaluation Agency for Research and Higher Education). She has authored or co-authored more than 80 technical papers and 2 book chapters, and has filed more than 20 patents.
Friday, February 4, 2011Band Edge Filters: Characteristics and Performance in Carrier and Symbol Synchronization.Prof. fred harris, San Diego State UniversityHost: Arline Allen Abstract It is amazing how many papers on radio systems, networks, error correcting codes, and related topics contain a version of the sentence “Let’s assume the system is synchronized.” Alright, let’s assume the system is synchronized. But I have a few questions: Who did it? How did they do it? Who will do it in the next decades as many of us retire from the field? An important one is; where are they acquiring the skills required to negotiate and navigate the future physical layers? This presentation deals with one aspect of synchronization, the frequency and phase alignment the digital down converter sinusoid with the frequency and phase of the suppressed carrier underlying the received modulated signal. The second tier processing task performed by a radio receiver is that of estimating the vector of unknown parameters associated with its received signal. These estimators fail when the received signal has a significant unknown frequency offset. Hence, when a frequency offset does exist, it must be estimated and removed prior to other processing tasks in the receiver. While the band edge filter can be used to resolve the frequency offset there is remarkably little discussion in the literature of the design, implementation, and performance of this neglected processing option. In this paper we review the maximum likelihood frequency estimator based on the band edge filter and discuss important properties not addressed in earlier literature. We also present an interesting variation of the ML process along with a discussion on performance parameters related to both carrier acquisition and timing acquisition. Bio I hold the Signal Processing Chair of the Communication Systems and Signal Processing Institute at San Diego State University where since 1967 I have taught courses in Digital Signal Processing and Communication Systems. I hold 17 patents on digital receiver and DSP technology and lecture throughout the world on DSP applications. I consult for organizations requiring high performance, cost effective DSP solutions. I am an adjunct member of the IDA-Princeton Center for Communications Research. I have written over 170 journal and conference papers, the most well known being my 1978 paper “On the use of Windows for Harmonic Analysis with the Discrete Fourier Transform”. I am the author of the book Multirate Signal Processing for Communication Systems and I have contributed to a number of other books on DSP applications including the “Source Coding” chapter in Bernard Sklar’s 1988 book, Digital Communications and the “Multirate FIR Filters for Interpolation and Resampling” and the “Time Domain Signal Processing with the DFT” chapters in Doug Elliot’s 1987 book Handbook of Digital Signal Processing, and “A most Efficient Digital Filter: The Two-Path Recursive All-Pass Filter” Chapter in Rick Lyons 2007 book Streamlining Digital Signal Processing. In 1990 and 1991 I was the Technical and then the General Chair of the Asilomar Conference on Signals, Systems, and Computers and was Technical Chair of the 2003 Software Defined Radio Conference and of the 2006 Wireless Personal Multimedia Conference. I became a Fellow of the IEEE in 2003, cited for contributions of DSP to communications systems. In 2006 I received the Software Defined Radio Forum’s “Industry Achievement Award”. My 2006 paper to the SDR conference was selected for the best paper award as was my 2010 paper at the Autotestcon conference. I am the Co-Editor-in-Chief of the Elsevier DSP Journal. The spelling of my name with all lower case letters is a source of distress for typists and spell checkers. A child at heart, I collect toy trains and old slide-rules.
Friday, January 28, 2011Reverse Engineering the Web and How to Make Money from it.Dr. Behnam Rezaei, NetSeer CTO and co-founderHost: Ehsan Ardestanizadeh Abstract the Internet has enabled the emergence of global-scale information networks, such as the world wide web and the various social media and ecommerce transaction portals. These overlay networks provide an unprecedented venue for information sharing, collaboration, and competition for ideas and attention. For the first time, information scientists, sociologists, economists, and engineers have the opportunity to investigate and manipulate a purely organic information system, as mysterious and complex as any physical system. It provides a rich platform for both analysis and design. A fertile collaborative field has developed involving information theory, thermodynamics and statistical physics, and social sciences. We will discuss recent joint work on the distillation of knowledge from large scale processing of content on the web that lead to foundations of NetSeer Inc., an internet advertisement company in silicon valley with strategic partnerships with Google and Yahoo!. We will overview current state of internet advertisement industry and life cycles of a high-tech startup in silicon valley. Potential research and commercial applications will lead us to our Q&A discussions. Bio Behnam A. Rezaei received his B.Sc. and Ph.D. degrees in electrical engineering from Sharif, and UCLA, respectively. His research topics include mining and modeling of complex systems and information networks. he currently leads NetSeer's team in the design and implementation of its technological innovations as Founder/CTO and is the primary inventor of the company's ten patent applications to date. Prior to founding NetSeer, Behnam was a lead researcher on several projects in spam filtering, identification of the structure and dynamics in large-scale biological networks, and the development of P2P network clients.
Saturday, January 1, 2011On Equivalence, Dependence, and Delay: Results from a Simple Tool for Information TheoryMichelle EffrosAbstract The expansion of information theory from the study of very small networks to the understanding of extremely large networks is often viewed as both critically important and insurmountably difficult. Nonetheless, many general properties of large networks can be derived using very simple tools. This talk focuses on a reduction strategy borrowed from CS theory, exploring a few simple applications and their implications for understanding the nature of noise, the impact of dependence, and the consequences of delay for reliable communications in large (and small) communication networks. Bio Michelle Effros received the B.S. degree with distinction in 1989, the M.S. degree in 1990, and the Ph.D. degree in 1994, all in electrical engineering from Stanford University. During the summers of 1988 and 1989 she worked at Hughes Aircraft Company, researching modulation schemes, real-time implementations of fast data rate error-correction schemes, and future applications for fiber optics in space technology. She is currently Professor of Electrical Engineering at the California Institute of Technology; from 1994 - 2000 she was Assistant Professor of Electrical Engineering; and from 2000 - 2005, Associate Professor. Her research interests include information theory, data compression, communications, pattern recognition, speech recognition, and image processing. Professor Effros received Stanford's Frederick Emmons Terman Engineering Scholastic Award (for excellence in engineering) in 1989, the Hughes Masters Full-Study Fellowship in 1989, the National Science Foundation Graduate Fellowship in 1990, the AT&T Ph.D. Scholarship in 1993, the NSF CAREER Award in 1995, the Charles Lee Powell Foundation Award in 1997, and the Richard Feynman-Hughes Fellowship in 1997. She is a member of Tau Beta Pi, Phi Beta Kappa, Sigma Xi, and IEEE Information Theory, Signal Processing, and Communications societies. She served as the Editor of the IEEE Information Theory Society Newsletter from 1995-1998, as Co-Chair of the NSF Sponsored Workshop on Joint Source-Channel Coding in 1999, and has been a Member of the Board of Governors of the IEEE Information Theory Society since 1998. |
