INTERNATIONAL CONFERENCE ON  SIGNAL PROCESSING AND COMMUNICATIONS

INDIAN INSTITUTE OF SCIENCE, BANGALORE

18-21 JULY, 2010

 SPCOM 2010

                                       Isckon Temple, Bangalore                                                      

 

 

 

 

T1-AM

 

Cooperative Communications: Theory and Practice

 

Cooperative communication networks, in which wireless nodes cooperate with each other in transmitting information, promise significant gains in overall throughput, reliability, and energy efficiency. Using nodes with only single antennas, these networks exploit the broadcast nature of the wireless channel and the diversity inherent in the multiple, spatially-distributed wireless links present in the network.  Not surprisingly, cooperative communications is an active area of research today and is also being considered as a key technology for standardization in next generation wireless standards such as LTE-Advanced and IEEE 802.16m.

The tutorial starts with an overview of various cooperative-communications protocols that can be employed depending on the level of channel-state information and device synchronization. The initial focus will be on two-hop cooperative networks as they constitute a fundamental building block of more elaborate multi-hop cooperative networks.  An understanding of the performance and trade-offs of cooperative protocols in terms of their symbol-error probability, diversity, and diversity-multiplexing trade-off will be developed for several cooperative protocols such as amplify-and-forward, decode-and-forward and cooperative beamforming. Explicit code constructions that achieve diversity-multiplexing tradeoff will be highlighted. Relay selection, which is a practically appealing form of cooperation that simplifies the problem of relay synchronization, and distributed mechanisms for enabling selection, will be covered next. 

The second half of the tutorial will discuss recent research results on multihop cooperative networks and infrastructure-based relay-aided cooperation.  The tutorial will conclude with an overview of the cross-layer aspects of cooperation and the practically-appealing, cooperative architectures currently being considered for standardization.

 

Presenter BIO

 

Prof. P. Vijay Kumar

Indian Institute of Science (IISc), Bangalore, India

 

P. Vijay Kumar obtained his Bachelor of Technology and Master of Technology degrees from IIT Kharagpur and Kanpur in 1977 and 1979 respectively, and his Ph.D. from the University of Southern California (USC) in 1983, all in Electrical Engineering.  From 1994-2003, he was a tenured Full Professor at USC.  Since 2003, he has been a Professor in the Dept. of Electrical Communication Engineering at the Indian Institute of Science, Bangalore. His current research interests include codes for distributed storage, space-time codes for MIMO and cooperative communication, distributed source compression and sensor networks. He was an Associate Editor for Coding Theory for the IEEE Transactions on Information Theory from 1993-1996.  The CDMA low-correlation sequence family S(2) introduced in a 1996 paper co-authored by him is now part of the 3G W-CDMA Standard. He received  the USC School-of-Engineering Senior Research Award as well as the 1995 IEEE Information Theory Society's Prize Paper Award for co-authoring a 1994 paper that provided a solution to a long-standing mystery in coding theory.   He is also co-author of  a paper receiving a Best Paper Award from the 4th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2008).   He is a Fellow of the IEEE. 

 

Dr. Neelesh B. Mehta

Indian Institute of Science (IISc), Bangalore, India

 

Neelesh B. Mehta received his Bachelor of Technology degree in Electronics and Communications Engineering from the Indian Institute of Technology (IIT), Madras, India in 1996, and his M.S. and Ph.D. degrees in Electrical Engineering from the California Institute of Technology, Pasadena, CA, USA in 1997 and 2001, respectively. He is now an Assistant Professor in the Dept. of Electrical Communication Engineering at the Indian Institute of Science (IISc), Bangalore, India.  Before joining IISc, he has served held research positions at AT&T Research Laboratories (Middletown, NJ, USA), Broadcom Corp. (Matawan, NJ, USA), and Mitsubishi Electric Research Laboratories (Cambridge, MA, USA).

 

His research includes work on link adaptation, multiple access protocols, WCDMA downlinks, system-level performance analysis of cellular systems, MIMO and antenna selection, and cooperative communications. He has written 19 journal papers, more than 45 conference papers, and two book chapters. He has 11 US patents and 3 filed Indian patents in these areas. He was actively involved in radio access network physical layer (RAN1) standardization activities in 3GPP. He has served as a TPC co-chair for tracks/symposia in Chinacom 2008, VTC 2009 (Fall), and WISARD 2010 and 2011. He is an Editor of the IEEE Transactions on Wireless Communications, and is an executive committee member of the IEEE Bangalore section and the IEEE Bangalore Signal Processing Society. He is a Senior Member of the IEEE.

 

 

T2-AM

 

Sparse Signal Recovery: Theory, Applications, and Algorithms

 

Sparsity has emerged as a new and important concept in signal processing, especially for sparse signal recovery tasks. There are numerous signal processing pplications where sparsity naturally arises, such as signal representation using overcomplete dictionaries, estimation of sparse communication channels with  large delay spread, high resolution spectral analysis, and brain imaging techniques such as MEG and EEG. More recently, the emergence of compressive sensing has generated considerable excitement and interest in efficient sparse estimation methods. This tutorial will examine theoretical and algorithmic issues  associated with the general problem of sparse signal recovery and the challenges associated with it. We will discuss potential applications and algorithms such as matching pursuit, basis pursuit, and sparse Bayesian learning among others for solving the associated inverse problem.  A particular emphasis will be placed on a general Bayesian framework for sparse estimation and inference. Lastly, we will briefly address compressive sensing and the theoretical issues concerning the design of the sensing matrix.

 

Presenter BIO

 

Dr. David Wipf

University of California, San Francisco, USA

 

David P.Wipf received the B.S. degree in electrical engineering from

the University of Virginia, Charlottesville, and the M.S. and Ph.D.

degrees in electrical and computer engineering from the University of

California, San Diego.  Currently, he is an NIH Postdoctoral Fellow in

the Biomagnetic Imaging Lab, University of California, San Francisco.

His research involves the development and analysis of Bayesian

learning algorithms for functional brain imaging and sparse coding.

 

 

T3-AM

 

Video Compression Standards & Technology: Evolution, Impact, and Next steps

 

This tutorial will cover the following aspects:

1. Video representation fundamentals

2. History and Evolution of Video Compression standards covering H.261,    MPEG-1, MPEG-2, H.263, MPEG-4, H.264 (AVC, SVC, MVC), and VC-1

               

a) Coding tools progression

b) Non-normative technology progression

     i)   Motion Estimation

     ii)  Coding Mode Selection

     iii) Rate control

     iv)  Error resilience

       

3. Application areas enabled by video such as broadcast, conferencing, surveillance, personal entertainment

     a) Application specific requirements

     b) Application specific technologies

4. Implementation considerations

     a) Common Video Architectures

     b) Typical design considerations

       

5. Next-generation Video compression trends

- update of ongoing standardization under the Joint Collaborative Team on Video Coding of ISO/IEC and ITU-T

 

Presenter BIO

 

Dr. Sriram Sethuraman

Ittiam Systems, Bangalore, India

 

Sriram Sethuraman received the B.E. degree in EEE from Anna University, Madras in 1990, the M.S. degree from Villanova University, Villanova in 1992 and the Ph.D. degree from Carnegie Mellon University, Pittsburgh in 1996. He was a Member of Technical Staff (MTS) from 1996-2000 and a Senior MTS from 2001-2002 at Sarnoff Corporation (formerly, David Sarnoff Research center), Princeton, NJ. In mid-2002, he joined the Video and Imaging group at Ittiam Systems (P) Ltd., Bangalore as a Technologist, and currently heads the Video Technology Solutions team at Ittiam. He is a Distinguished Member of Technical Staff at Ittiam. His areas of interest include video compression, video processing, multimedia communication systems, and embedded systems. He is the author/co-author of over 30 refereed technical publications and 20 issued (and 5 pending) patents in the video compression and multimedia area. He has represented Sarnoff at the MPEG-4/MPEG-7 standardization meetings. He is a Senior Member of IEEE since 2004.

 

 

T4-PM

 

Securing Wireless Communications in the Physical Layer using Signal Processing

 

The last couple of decades have witnessed an amazing growth in wireless communications and networking applications. More and more subscribers are relying solely on their wireless  communication and computing devices for communicating sensitive information. Ensuring secure transfer of information is thus essential. This important issue is currently dealt with at the higher layers of the protocol hierarchies using cryptographic algorithms, which provide useful protection against computationally-limited adversaries.

 

Physical-layer security has emerged in the past few years as a promising new approach to securing wireless communications. This field explores possibilities of providing security in the

physical layer using techniques from information theory, communication theory and signal processing. This approach is a fundamental departure from the currently available

cryptographic solutions in that the security it provides is unbreakable, provable and quantifiable (in bits/sec/hertz). This approach exploits unique characteristics of the wireless medium, such as the inherent random fluctuations in the wireless channels (that enable opportunistic transmissions), overheard information (that enables cooperation), and the use of multiple antennas (that provides spatial diversity and multiplexing gains) to secure wireless communications in the physical layer. In this tutorial, we will demonstrate how opportunistic transmissions in fading channels, cooperation (with trusted or untrusted relays), multiple antennas, signal alignment, and carefully designed multi-user interactions (e.g., cooperative jamming and feedback) can be used to enhance security of wireless communications. We will cover security of single-user and multi-user (multiple-access, broadcast, interference and relay) systems. We will also cover the source-coding side by presenting results from secure data compression.

 

Presenter BIO

 

Prof. Sennur Ulukus

University of Maryland, College Park, USA

 

Bilkent University, Ankara, Turkey, in 1991 and 1993, respectively, and the Ph.D. degree in electrical and computer engineering from Rutgers University, NJ, in 1998. During her Ph.D. studies, she was with the Wireless Information Network Laboratory (WINLAB), Rutgers University. From 1998 to 2001, she was a Senior Technical Staff Member at AT&T Labs-Research in NJ. In 2001, she joined the University of Maryland at College Park, where she is currently an Associate Professor in the Department of Electrical and Computer Engineering, with a joint appointment at the Institute for Systems Research (ISR). Her research interests are in wireless communication theory and networking, network information theory for wireless networks, signal processing for wireless communications and security for multi-user wireless communications.

 

Sennur Ulukus is a recipient of the 2005 NSF CAREER Award, and a co-recipient of the 2003 IEEE Marconi Prize Paper Award in Wireless Communications. She serves/served as an Associate Editor for the IEEE Transactions on Information Theory since 2007, as an Associate Editor for the IEEE Transactions on Communications between 2003-2007, as a Guest Editor for the IEEE Journal on Selected Areas in Communications in 2006-2008, as the co-chair of the Communication Theory Symposium at the 2007 IEEE Global Telecommunications Conference, as the co-chair of the Medium Access Control (MAC) Track at the 2008 IEEE Wireless Communications and Networking Conference, as the co-chair of the Wireless Communications Symposium at the 2010 IEEE International Conference on Communications, as the co-chair of the 2011 Communication Theory Workshop, and as the Secretary of the IEEE Communication Theory Technical Committee (CTTC) in 2007-2009.

 

 

T5-PM

 

Signal-processing algorithms for bioimaging

 

In the last decade, images have become indispensable to understand the structure of the cell organisms and revealing their dynamic interactions. Imaging often plays a key role in discoveries in biology. Structures or particles of interest are tagged with fluorescent probes and imaged with a new generation of 3D high-resolution microscopes which produce a large amount of data for quantitative analysis. Automatic processing of these microscopic images remains a challenging task for the image-processing community, one has to handle multidimensional data often corrupted by a defocussing effect, non-uniform lightning, or important noisy and to deal with living particles that rapidly move, grow, interact, or divide. In this tutorial, we describe several algorithms the restoration and analysis of microscopic images of biological organisms. These algorithms are implemented as Java plugins for ImageJ which is the most popular public-domain image-processing software package in the field of bioimaging. We cover the image preparation (correction for drift by registration, correction for photobleaching, correction for non-uniform illumination), the image restoration (extended-of-field procedure, denoising, deconvolution by PSF modelling) and image analysis (feature identification such as spots or filaments, segmentation by parametric active contour, directional analysis, and tracking). These algorithms have been developed by the Biomedical Imaging Group of the EPFL. While they are based on solid signal-processing fundaments, we have made them freely available and accessible to end-users. The presentation includes concepts of algorithms, applications to life cell imaging and live demonstrations.

 

 

Presenter BIO

 

Dr. Daniel Sage

EPFL, Switzerland

 

Daniel Sage received the M.S. (DEA) and Ph.D. degrees in control and

signal processing from the Institut National Polytechnique de Grenoble

(INPG), Grenoble, France, in 1986 and 1989, respectively.From 1989 to 1998,

he was a Consulting Engineer developing vision systems for quality control, then

Head of the Industrial Vision Department. In 1998, he joined the Biomedical

Imaging Group at the Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, as the Head of software development. He is involved in numerous image

processing and image analysis projects dealing with life cell imaging.

He is also engaged in the development of methods for computer-assisted

teaching..

 

 

T6-PM

 

Next Generation Broadband Wireless Technologies: LTE, 802.16m, and LTE-A

 

Standardization work on long term evolution (LTE) of the UMTS Terrestrial Radio Access and Radio Access Network and 802.16e (a.k.a WiMAX) has been completed and these technologies are currently being deployed throughout the world.  Both of these technologies are OFDM based and provide improved system capacity and coverage, high peak data rates, low latency, reduced operating costs, multi-antenna support, flexible bandwidth operations and seamless integration with existing systems.

Currently, system enhancements are being considered to provide substantial improvements to LTE (a.k.a LTE-Advanced) as well as WiMAX (a.k.a 802.16m) so that it will meet or exceed IMT-Advanced (IMT-A) requirements.  One of the key requirements for IMT-A is to offer peak target data rates of 1 Gbps in the downlink and 500 Mbps in the uplink @ 100 MHz BW, in addition to improvement in both downlink and uplink spectral efficiencies,  handoff latency etc.  When deployed, both LTE-A and 802.16m will enable operators to offer true wireless broadband experience at a low cost/bit.

This tutorial will provide a comprehensive overview and performance of LTE Release-8 (both FDD and TDD).  Next, the requirements for IMT-A, LTE-Advanced and 802.16m technologies will be discussed. Enhancement to LTE Release-8 for both for homogenous and heterogeneous network will be presented next.  These enhancements includes, i) carrier aggregation which allows operators to deploy a system with larger bandwidth by aggregating several smaller contiguous or non-contiguous carriers; ii) uplink and downlink spatial multiplexing; iii) co-ordinated multipoint transmission and reception (COMP) and iv) heterogeneous networks including relays, pico cells and femto cells.  Finally, the air-interface of 802.16m technology will be discussed briefly and compared to LTE-A with respect to different air-interface features and capacity.

 

Presenter BIO

 

Dr. Amitava Ghosh

Fellow of Technical Staff, Motorola Network, Arlington Heights, IL

 

Amitava joined Motorola in 1990 after receiving his Ph.D in Electrical Engineering from Southern Methodist University, Dallas.  Since joining Motorola he worked on eight different wireless technologies starting from IS-95, cdma-2000, 1xEV-DV/1XTREME, 1xEV-DO, UMTS, HSPA, 802.16e/WiMAX/802.16m, Enhanced EDGE and 3GPP LTE. Recently, he is leading the effort from Motorola’s side in defining 3GPP LTE and LTE-Advanced physical layer standards from the concept phase to the adopted baseline. 

Amitava has 42 issued patents and numerous external and internal technical papers.  Currently, he is Director and Fellow of Technical Staff in Motorola Networks and works in the area of current and future air-interface technologies for 802.16m, 3GPP LTE, LTE-Advanced and other broadband technologies. His research interests are in the area of digital communications, signal processing and wireless communications. He is a senior member of IEEE and associate member of Motorola Science Advisory Board.

 

 

 

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