SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for December
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Communications, Networks & Systems (CommNetS) Seminar
Wed, Dec 03, 2014 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Steven Low, Caltech
Talk Title: Semidefinite Relaxation of Optimal Power Flow
Series: CommNetS
Abstract: The optimal power flow (OPF) problem seeks to optimize a certain objective, such as power loss, generation cost or user utility, subject to Kirchhoffâs laws, power balance as well as capacity, stability and contingency constraints on the voltages and power flows. It is a fundamental problem that underlies many power system operations and planning. It is nonconvex and many algorithms have been proposed to solve it approximately. A new approach via semidefinite relaxation of OPF has been developed in the last few years.
In this tutorial, we present a bus injection model and a branch flow model, formulate OPF within each model, and prove their equivalence. The complexity of OPF formulated here lies in the nonconvex quadratic constraints on the feasible set of OPF. We characterize these feasible sets that lead to three different convex relaxations based on semidefinite programming (SDP), chordal extension, and second-order cone programming (SOCP). When a convex relaxation is exact, an optimal solution of the original nonconvex OPF can be recovered from every optimal solution of the relaxation. We summarize three types of sufficient conditions that guarantee the exactness of these relaxations.
Biography: Steven H. Low is a Professor of the Department of Computing & Mathematical Sciences and the Department of Electrical Engineering at Caltech. Before that, he was with AT&T Bell Laboratories, Murray Hill, NJ, and the University of Melbourne, Australia. He is a Senior Editor of the IEEE Transactions on Control of Network Systems and the IEEE Transactions on Network Science & Engineering, is on the editorial boards of NOW Foundations and Trends in Networking, and in Electric Energy Systems, as well as Journal on Sustainable Energy, Grids and Networks. He is an IEEE Fellow and received his B.S. from Cornell and PhD from Berkeley, both in EE.
Host: Prof. Ashutosh Nayyar and the Ming Hsieh Institute
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Zhisheng Niu Seminar
Thu, Dec 04, 2014 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Zhisheng Niu, Tsinghua University
Talk Title: 5G: A Paradigm Shift of Cellular Networks
Abstract: Abstract: Cellular concept was invented to improve the spectrum efficiency by spectrum reuse and has contributed a lot for the explosive deployment of todayâs mobile communication industry. As mobile data and video traffic is fast growing, the next-generation mobile communication (5G) networks are expected to further provide 10-fold more capacity than 4G mobile networks with the limited spectrum as well as energy resources. To deal with this challenge, the traditional physical- and MAC-layer capacity-enhancement approaches are no more sufficient and efficient. A system- or network-level approach is needed, including rethinking about the existing cellular structure. On the other hand, cellular networks are transforming from just a mobile communication platform to a smart information infrastructure on which more and more always-online type of traffic (e.g., short but frequent signaling packets of various social networks, sensing information of smart earth and smart community, control packets in cooperative heterogeneous wireless networks) need to be handled in an energy-efficient way. As a result, the existing cellular framework should be revisited.
Biography: Zhisheng Niu graduated from Northern Jiaotong University (currently Beijing Jiaotong University), Beijing, China, in 1985, and got his M.E. and D.E. degrees from Toyohashi University of Technology, Toyohashi, Japan, in 1989 and 1992, respectively. After spending two years at Fujitsu Laboratories Ltd., Kawasaki, Japan, he joined with Tsinghua University, Beijing, China, in 1994, where he is now a professor at the Department of Electronic Engineering, deputy dean of the School of Information Science and Technology, and director of Tsinghua-Hitachi Joint Lab on Environmental Harmonious ICT. He is also a guest chair professor of Shandong University. His major research interests include queueing theory, traffic engineering, mobile Internet, radio resource management of wireless networks, and green communication and networks.
Dr. Niu has been an active volunteer for various academic societies, including Director for Conference Publications (2010-11) and Director for Asia-Pacific Board (2008-09) of IEEE Communication Society, Membership Development Coordinator (2009-10) of IEEE Region 10, Councilor of IEICE-Japan (2009-11), and council member of Chinese Institute of Electronics (2006-11). He is now a distinguished lecturer (2012-13) of IEEE Communication Society, editor of IEEE Wireless Communication Magazine, associate editor-in-chief of IEEE/CIC joint publication âChina Communicationsâ, standing committee member of both Communication Science and Technology Committee under the Ministry of Industry and Information Technology of China and Chinese Institute of Communications (CIC), and vice chair of the Information and Communication Network Committee of CIC.
Dr. Niu received the Outstanding Young Researcher Award from Natural Science Foundation of China in 2009 and the Best Paper Awards (with his students) from the 13th, 15th and 19th Asia-Pacific Conference on Communication (APCC) in 2007, 2009, and 2013, respectively. He is now the Chief Scientist of the National Basic Research Program (so called â973 Projectâ) of China on "Fundamental Research on the Energy and Resource Optimized Hyper-Cellular Mobile Communication System" (2012-2016), which is the first national project on green communications in China. He is now a fellow of both IEEE and IEICE.
Host: Bhaskar Krishnamachari, Andreas Molisch
More Info: http://mhi.usc.edu/about/news/2014/12/01/distinguished-visiting-fellow-zhisheng-niu/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
Event Link: http://mhi.usc.edu/about/news/2014/12/01/distinguished-visiting-fellow-zhisheng-niu/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography
Fri, Dec 05, 2014 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Hassan Mohy-ud-Din, Departments of ECE, AMS, and Radiology Johns Hopkins University, MD
Talk Title: Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography
Abstract: My talk will focus on two important aspects of Positron Emission Tomography (PET):
(i) Motion-compensation , and (ii) Pharmacokinetic analysis of dynamic PET images.
Motion-compensation in Dynamic PET Images: Dynamic PET images are degraded by inter-frame and intra-frame motion artifacts that can affect the quantitative and qualitative analysis of acquired PET data. I will present a Generalized Inter-frame and Intra-frame Motion Correction (GIIMC) algorithm that unifies in one framework the inter-frame motion correction capability of Multiple Acquisition Frames and the intra-frame motion correction feature of (MLEM)-type deconvolution methods. GIIMC employs a fairly simple but new approach of using time-weighted average of attenuation sinograms to reconstruct dynamic frames. Extensive validation studies show that GIIMC algorithm outperforms conventional techniques producing images with superior quality and quantitative accuracy.
Parametric Myocardial Perfusion PET Imaging using Physiological Clustering: We propose a novel framework of robust kinetic parameter estimation applied to absolute flow quantification in dynamic PET imaging. Kinetic parameter estimation is formulated as nonlinear least squares with spatial constraints problem where the spatial constraints are computed from a physiologically driven clustering of dynamic images, and used to reduce noise contamination. The proposed framework is shown to improve the quantitative accuracy of Myocardial Perfusion (MP) PET imaging, and in turn, has the long-term potential to enhance capabilities of MP PET in the detection, staging and management of coronary artery disease.
Biography: Hassan Mohy-ud-Din is a final year PhD student in the Department of Electrical and Computer Engineering, Johns Hopkins University, USA. He is also pursuing an MA (thesis) in Applied Mathematics and Statistics. He completed his BS in Electronics Engineering from GIK Institute of Engineering and Technology in Pakistan. His research lies at the intersection of Applied Mathematics and Medical Imaging. His work on dynamic cardiac PET imaging won the 2014 Bradley-Alavi fellowship from SNMMI and 2014 SIAM Student Travel (Hong Kong). He has presented his work at various conferences and universities and carries a teaching experience of over 9 years.
Host: Professor Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Penalized Maximum-likelihood PET Image Reconstruction for Lesion Detection
Mon, Dec 08, 2014 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Li Yang, University of California-Davis
Talk Title: Penalized Maximum-likelihood PET Image Reconstruction for Lesion Detection
Abstract: Detecting cancerous lesions is a major clinical application in emission tomography. Statistical reconstruction methods based on the penalized maximum-likelihood (PML) principle have been developed to improve image quality. A number of metrics have been used to evaluate the quality of the reconstructed PET images, such as spatial resolution, noise variance, contrast-to-noise ratio, etc. Work has been done to optimize PML reconstruction to achieve uniform resolution and to maximize the contrast-to-noise ratio. However, these technical metrics do not necessarily reflect the performance of a clinical task. Here we focus on lesion detection and use a task-specific metric to evaluate the image quality. A multiview channelized Hotelling observer (mvCHO) is used to assess the lesion detectability in 3D images to mimic the condition where a human observer examines three orthogonal views of a 3D image for lesion detection. We derive simplified theoretical expressions that allow fast prediction of the detectability of a 3D lesion. We apply the theoretical results to guide the design of a shift-variant quadratic penalty function in PML reconstruction to maximize detectability of lesions at unknown locations in fully 3D PET. The proposed method is evaluated using computer-based Monte Carlo simulations as well as real patient data with a superimposed lesion.
Furthermore, we extend our theoretical analysis of static PET reconstruction to dynamic PET. We study both the conventional indirect reconstruction and direct reconstruction for Patlak parametric image estimation. In indirect reconstruction, Patlak parametric images are generated by reconstructing a sequence of dynamic PET images first and then performing Patlak analysis on the time activity curves (TACs) pixel-by-pixel. In direct reconstruction, Patlak parametric images are estimated directly from raw sinogram data by incorporating the Patlak model into the image reconstruction procedure. The PML reconstruction is used in both the indirect and direct reconstruction methods. Simplified expressions for evaluating the lesion detectability on Patlak parametric images have been derived and applied to the selection of the regularization parameter value to maximize the lesion detectability. Good agreements between the theoretical predictions and the Monte Carlo results are observed. The theoretical formula also shows the benefit of the direct method in dynamic PET reconstruction for lesion detection.
Biography: Li Yang received his B.S. degree in precision instrumentation from Tianjin University (China) in 2009. Currently, he is pursuing his Ph.D. degree in biomedical engineering at University of California-Davis under the supervision of Prof. Jinyi Qi. His research interests are image quality evaluation and statistical image reconstruction for emission tomography
Host: Prof. Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 25
Audiences: Everyone Is Invited
Contact: Talyia Veal
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Speculative Dynamical Systems: How Technical Trading Rules Determine Price Dynamics
Mon, Dec 08, 2014 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Li-Xin Wang, Ph.D., Xian Jiaotong University, Department of Automation Science and Technology
Talk Title: Speculative Dynamical Systems: How Technical Trading Rules Determine Price Dynamics
Abstract: In this talk, I will first show how to use fuzzy systems theory to convert the following technical trading rules commonly used by stock practitioners into price dynamical equations: moving average rules, support and resistance rules, trend line rules, big buyer and big seller rules, manipulator rules, band and stop rules, and volume and relative strength rules. Then, I will analyze the price dynamical model with the moving average rules in detail, showing: (1) there exist an infinite number of price equilibriums, but all these equilibriums are unstable; (2) volatility is a deterministic function of the model parameters; (3) short-term prediction is possible with the âprediction horizonâ characterized by the Lyapunov exponent; and (4) how return correlations move from sub-diffusion to norm-diffusion and then to super-diffusion as the model parameters change. Finally, I will apply the big buyer/seller model to Hong Kong stocks and show how to detect big buyers in the market and follow them up to make money. Specifically, I will develop two trading strategies, namely Follow-the-Big-Buyer and Ride-the-Mood, and apply them to the top 20 banking and real estate stocks listed in the Hong Kong Stock Exchange for the seven-year period from July 3, 2007 to July 2, 2014; the results show that the net profits would increase 67% or 120% on average if an investor switched from the benchmark Buy-and-Hold strategy to the Follow-the-Big-Buyer or Ride-the-Mood strategies during this period, respectively. This talk is based on the paper: http://ssrn.com/abstract=2508276.
Biography: Li-Xin Wang received the Ph.D. degree from the Department of Electrical Engineering, University of Southern California, in 1992. From 1992 to 1993, he was a Postdoctoral Fellow with the Department of Electrical Engineering and Computer Science, University of California at Berkeley. From 1993 to 2007, he was on the faculty of the Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology (HKUST). In 2007, he resigned from his tenured position at HKUST to become an independent researcher and investor in the stock and real estate markets in Hong Kong and China. In Fall 2013, he returned to academic and joined the faculty of the Department of Automation Science and Technology, Xian Jiaotong University, Xian, China, after a fruitful hunting journey across the wild land of investment to achieve financial freedom. His research interests are dynamical models of asset prices, market microstructure, trading strategies, fuzzy systems, and adaptive nonlinear control. Dr. Wang received USCâs Phi Kappa Phi Student Recognition Award in 1992.
Host: Professor Jerry Mendel
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Communications, Networks & Systems (CommNetS) Seminar
Wed, Dec 10, 2014 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sérgio Pequito, University of Pennsylvania
Talk Title: A Framework for Structural Input/Output and Control Configuration Selection of Large - Scale Systems
Series: CommNetS
Abstract: The structure control system design consists mainly of two steps: input/output (I/O) selection and control configuration (CC) selection. The first one is devoted to the problem of computing how many actuators/sensors are needed and where should be placed in the plant to obtain some desired property. Control configuration is related to the decentralized control problem and is dedicated to the task of selecting which outputs (sensors) should be available for feedback and to which inputs (actuators) in order to achieve a predefined goal. The choice of inputs and outputs affects the performance, complexity and costs of the control system. Due to the combinatorial nature of the selection problem, an efficient and systematic method is required to complement the designer intuition, experience and physical insight.
Motivated by the above, this presentation addresses the structure control system design taking explicitly into consideration the possible application to large - scale systems. We provide an efficient framework to solve the following major minimization problems: i) selection of the minimum number of manipulated/measured variables to achieve structural controllability/observability of the system, and ii) selection of the minimum number of measured and manipulated variables, and feedback interconnections between them such that the system has no structural fixed modes. Contrary to what would be expected, we showed that it is possible to obtain the global solution of the aforementioned minimization problems in polynomial complexity in the number of the state variables of the system. To this effect, we propose a methodology that is efficient (polynomial complexity) and unified in the sense that it solves simultaneously the I/O and the CC selection problems. This is done by exploiting the implications of the I/O selection in the solution to the CC problem.
Biography: Sérgio Pequito is a postdoctoral researcher at University of Pennsylvania. He obtained his PhD in Electrical and Computer Engineering from Carnegie Mellon University and Instituto Superior Técnico, through the CMU-Portugal program. Furthermore, he received his BSc and MSc in Applied Mathematics from the Instituto Superior Técnico. Pequito's research consists in understanding the global qualitative behavior of large scale systems from their structural or parametric descriptions and provide a rigorous framework for the design, analysis, optimization and control of large scale (real-world) systems. Pequito was awarded with the best student paper finalist in the Conference on Decision and Control 2009, the ECE Outstanding Teaching Assistant Award at Carnegie Mellon University, and the Carnegie Mellon Graduate Teaching Award (university-wide) honorable mention, both in 2012.
Host: Paul Bogdan and the Ming Hsieh Institute
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Zhisheng Niu Seminar
Thu, Dec 11, 2014 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Zhisheng Niu, Tsinghua University
Talk Title: How Densely should the Traffic Base Stations be Deployed in Hyper-Cellular Networks?
Abstract: One of the key approaches to make the mobile communication networks more GREEN (Globally Resource-optimized and Energy-Efficient Networks) is to have the cellular architecture and radio resource allocation more adaptive to the environment and traffic variations, including making some lightly-loaded base stations (BSs) go to sleep. This is the concept of so-called TANGO (Traffic-Aware Network planning and Green Operation) and CHORUS (Collaborative and Harmonized Open Radio Ubiquitous Systems) published by the author earlier. To realize this, a new cellular framework, named hyper-cellular networks (HCN), has been proposed, in which the coverage of control signals is decoupled from the coverage of data signals so that the data coverage can be more elastic in accordance with the dynamics of traffic characteristics and QoS requirements. Specifically, the traffic base stations (TBSs) in HCN can be densely deployed during peak traffic time in order to satisfy the capacity requirement, while a portion of TBSs can be switched off or go to sleep mode if the traffic load is lower than a threshold in order to save energy. A fundamental question then arises: how densely should the TBSs be deployed in order to balance the QoS requirements and the energy consumption in hyper cellular networks?
In this talk, we characterize the optimal TBS density for both homogeneous and heterogeneous hyper cellular networks to minimize network cost with stochastic geometry theory. For homogeneous cases, both upper and lower bounds of the optimal TBS density are derived. For heterogeneous cases, our analysis reveals the best type of TBSs to be deployed for capacity extension or to be switched off for energy saving. Specifically, if the ratio between the micro TBS cost and the macro TBS cost is lower than a threshold, which is a function of path loss and their transmit power, then the optimal strategy is to deploy micro TBSs for capacity extension or to switch off macro TBSs (if possible) for energy saving with higher priority. Otherwise, the optimal strategy is the opposite. Based on the parameters from EARTH, numerical results show that in the dense urban scenario, compared to the traditional macro-only homogeneous cellular network with no TBS sleeping, deploying micro TBSs can reduce about 40% of the total energy cost, and further reduce about 20% with TBS sleeping capability.
Biography: Zhisheng Niu graduated from Northern Jiaotong University (currently Beijing Jiaotong University), Beijing, China, in 1985, and got his M.E. and D.E. degrees from Toyohashi University of Technology, Toyohashi, Japan, in 1989 and 1992, respectively. After spending two years at Fujitsu Laboratories Ltd., Kawasaki, Japan, he joined with Tsinghua University, Beijing, China, in 1994, where he is now a professor at the Department of Electronic Engineering, deputy dean of the School of Information Science and Technology, and director of Tsinghua-Hitachi Joint Lab on Environmental Harmonious ICT. He is also a guest chair professor of Shandong University. His major research interests include queueing theory, traffic engineering, mobile Internet, radio resource management of wireless networks, and green communication and networks.
Dr. Niu has been an active volunteer for various academic societies, including Director for Conference Publications (2010-11) and Director for Asia-Pacific Board (2008-09) of IEEE Communication Society, Membership Development Coordinator (2009-10) of IEEE Region 10, Councilor of IEICE-Japan (2009-11), and council member of Chinese Institute of Electronics (2006-11). He is now a distinguished lecturer (2012-13) of IEEE Communication Society, editor of IEEE Wireless Communication Magazine, associate editor-in-chief of IEEE/CIC joint publication âChina Communicationsâ, standing committee member of both Communication Science and Technology Committee under the Ministry of Industry and Information Technology of China and Chinese Institute of Communications (CIC), and vice chair of the Information and Communication Network Committee of CIC.
Dr. Niu received the Outstanding Young Researcher Award from Natural Science Foundation of China in 2009 and the Best Paper Awards (with his students) from the 13th, 15th and 19th Asia-Pacific Conference on Communication (APCC) in 2007, 2009, and 2013, respectively. He is now the Chief Scientist of the National Basic Research Program (so called â973 Projectâ) of China on "Fundamental Research on the Energy and Resource Optimized Hyper-Cellular Mobile Communication System" (2012-2016), which is the first national project on green communications in China. He is now a fellow of both IEEE and IEICE.
Host: Bhaskar Krishnamachari, Andreas Molisch
More Info: http://mhi.usc.edu/about/news/2014/12/01/distinguished-visiting-fellow-zhisheng-niu/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
Event Link: http://mhi.usc.edu/about/news/2014/12/01/distinguished-visiting-fellow-zhisheng-niu/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
EE-Electrophysics Seminar
Fri, Dec 12, 2014 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Joyce Poon, Department of Electrical and Computer Engineering, University of Toronto
Talk Title: Scaling Integrated Photonic Devices and Circuits
Abstract: By 2020, the number of Internet-connected devices will be more than six times the number of people on Earth. The âInternet of Thingsâ is causing an explosion of data that must be transmitted and processed in energy-efficient ways. Optical communications have been a part of the physical backbone of this paradigm and will continue to have a vital role in enabling the interconnectivity in our world.
In this talk, I will give an overview of my groupâs research in integrated photonic devices and circuits implemented in silicon photonic platforms. We are exploring how device size, performance, and circuit complexity can be scaled to address the challenges in communications and computing. I will describe our work on optical modulators, filters, polarization management, electronic-photonic integration, and wavelength-size active components. I will also describe some ongoing and new projects. The work paves the path toward very large-scale photonic integrated circuits.
Biography: Joyce Poon is an Associate Professor of Electrical and Computer Engineering at University of Toronto, where she holds the Canada Research Chair in Integrated Photonic Devices. She and her team conduct theoretical and experimental research in micro- and nano-scale integrated photonics.
Dr. Poon obtained the Ph.D. and M.S. in Electrical Engineering from Caltech in 2007 and 2003 respectively, and the B.A.Sc. in Engineering Science (physics option) from the University of Toronto in 2002. She is the recipient of a McCharles Prize for Early Research Career Distinction, a MIT TR35 award in 2012, IBM Faculty Award in 2010 and 2011, Ontario Ministry of Research and Innovation Early Researcher Award in 2009, NSERC University Faculty Award in 2008, and the Clauser Doctoral Thesis Prize from Caltech in 2007.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Zhisheng Niu Seminar
Wed, Dec 17, 2014 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Zhisheng Niu, Tsinghua University
Talk Title: Characterizing Energy-Delay Tradeoff in Hyper-Cellular Networks with Base Station Sleeping Control
Abstract: One of the key approaches to make the mobile communication networks more GREEN (Globally Resource-optimized and Energy-Efficient Networks) is to have the cellular architecture and radio resource allocation more adaptive to the environment and traffic variations, including making some lightly-loaded base stations (BSs) go to sleep. This is the concept of so-called TANGO (Traffic-Aware Network planning and Green Operation) and CHORUS (Collaborative and Harmonized Open Radio Ubiquitous Systems) published by the author earlier. To realize this, a new cellular framework, named hyper-cellular networks (HCN), has been proposed, in which the coverage of control signals is decoupled from the coverage of data signals so that the data coverage can be more elastic in accordance with the dynamics of traffic characteristics and QoS requirements. Due to this elasticity of HCN, some delay-insensitive users may have to experience some delay or other kind of QoS degradation when traffic load is high in order to save energy, i.e., energy can be traded off by some delay. The fundamental question then arises: how much energy can be traded off by a tolerable delay?
Biography: Zhisheng Niu graduated from Northern Jiaotong University (currently Beijing Jiaotong University), Beijing, China, in 1985, and got his M.E. and D.E. degrees from Toyohashi University of Technology, Toyohashi, Japan, in 1989 and 1992, respectively. After spending two years at Fujitsu Laboratories Ltd., Kawasaki, Japan, he joined with Tsinghua University, Beijing, China, in 1994, where he is now a professor at the Department of Electronic Engineering, deputy dean of the School of Information Science and Technology, and director of Tsinghua-Hitachi Joint Lab on Environmental Harmonious ICT. He is also a guest chair professor of Shandong University. His major research interests include queueing theory, traffic engineering, mobile Internet, radio resource management of wireless networks, and green communication and networks.
Dr. Niu has been an active volunteer for various academic societies, including Director for Conference Publications (2010-11) and Director for Asia-Pacific Board (2008-09) of IEEE Communication Society, Membership Development Coordinator (2009-10) of IEEE Region 10, Councilor of IEICE-Japan (2009-11), and council member of Chinese Institute of Electronics (2006-11). He is now a distinguished lecturer (2012-13) of IEEE Communication Society, editor of IEEE Wireless Communication Magazine, associate editor-in-chief of IEEE/CIC joint publication âChina Communicationsâ, standing committee member of both Communication Science and Technology Committee under the Ministry of Industry and Information Technology of China and Chinese Institute of Communications (CIC), and vice chair of the Information and Communication Network Committee of CIC.
Dr. Niu received the Outstanding Young Researcher Award from Natural Science Foundation of China in 2009 and the Best Paper Awards (with his students) from the 13th, 15th and 19th Asia-Pacific Conference on Communication (APCC) in 2007, 2009, and 2013, respectively. He is now the Chief Scientist of the National Basic Research Program (so called â973 Projectâ) of China on "Fundamental Research on the Energy and Resource Optimized Hyper-Cellular Mobile Communication System" (2012-2016), which is the first national project on green communications in China. He is now a fellow of both IEEE and IEICE.
Host: Bhaskar Krishnamachari, Andreas Molisch
More Info: http://mhi.usc.edu/about/news/2014/12/01/distinguished-visiting-fellow-zhisheng-niu/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
Event Link: http://mhi.usc.edu/about/news/2014/12/01/distinguished-visiting-fellow-zhisheng-niu/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
