IEEE International Conference on Communications
20-24 May 2018 // Kansas City, MO, USA
Communications for Connecting Humanity


Thursday, May 24

9:00 am-9:45 am W14-K1 ANLN: Keynote-I
9:45 am-10:15 am W14-S1 ANLN: Session 1
11:00 am-12:30 pm W14-S2 ANLN: Session 2
2:00 pm-2:45 pm W14-K2 ANLN: Keynote-II
2:45 pm-3:45 pm W14-S3 ANLN: Session 3
4:15 pm-5:15 pm W14-S4 ANLN: Session 4

Thursday, May 24

Thursday, May 24, 09:00 - 09:45

W14-K1 ANLN: Keynote-I

Distributed Sequential Estimation over Networks of Agents - Petar M. Djurić (Stony Brook University, USA)

Room: Chicago C

Abstract: We address the problem of decentralized state estimation in multi-agent networks. The spatially distributed agents acquire local measurements with information about a time-varying state described by some underlying state-space model. The agents aim at making inference about the time-varying state not only based on their measurements but also using information received from neighboring agents. This information can be local estimates of the state and/or measurements of these agents. We discuss ways of constructing the local estimates through such cooperation. We present strategies based on the concepts of diffusion and consensus.

Short Bio: Petar M. Djurić received the B.S. and M.S. degrees in electrical engineering from the University of Belgrade, respectively, and the Ph.D. degree in electrical engineering from the University of Rhode Island. He is a SUNY Distinguished Professor and currently a Chair of the Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA. His research has been in the area of signal and information processing with primary interests in the theory of signal modeling, detection, and estimation; signal and information processing over networks; machine learning; Monte Carlo-based methods; RFID and the IoT. Prof. Djurić was a recipient of the IEEE Signal Processing Magazine Best Paper Award in 2007 and the EURASIP Technical Achievement Award in 2012. In 2008, he was the Chair of Excellence of Universidad Carlos III de Madrid-Banco de Santander. From 2008 to 2009, he was a Distinguished Lecturer of the IEEE Signal Processing Society. He has been on numerous committees of the IEEE Signal Processing Society and of many professional conferences and workshops. He is the Editor-in-Chief of the IEEE Transactions on Signal and Information Processing over Networks. Prof. Djurić is a Fellow of IEEE and EURASIP.

Thursday, May 24, 09:45 - 10:15

W14-S1 ANLN: Session 1

Algorithms 1

Room: Chicago C

Blind Localization of Primary Users with Sectorial Antennas
Zhuyin Li and Kagiso Magowe (RMIT University, Australia); Andrea Giorgetti (University of Bologna, Italy); Sithamparanathan Kandeepan (RMIT University, Australia)
Positioning via Spectrum Sensing Using Multidimensional Scaling and Metric Learning with an Application in Millimeter Wave Networks
Liang Li (The University of Tennessee, Knoxville, USA); Husheng Li (University of Tennessee, USA)

Thursday, May 24, 11:00 - 12:30

W14-S2 ANLN: Session 2

Algorithms 2

Room: Chicago C

Joint Navigation and Multitarget Tracking in Networks
Florian Meyer and Moe Win (Massachusetts Institute of Technology, USA)
Direct Positioning with Channel Database Assistance
Laurence Mailaender (Huawei Technologies & Alcatel-Lucent, USA); Arkady Molev-Shteiman (Huawei Technologies, USA); Xiao Qi (Huawei, USA)
Device-free Counting via OFDM Signals of Opportunity
Stefania Bartoletti (ENDIF University of Ferrara, Italy); Andrea Conti (ENDIF University of Ferrara, WiLAB University of Bologna, Italy); Moe Win (Massachusetts Institute of Technology, USA)
2-D DOA Estimation of Coherent Wideband Signals with Auxiliary-Vector Basis
Hovannes K. Kulhandjian (California State University, Fresno, USA); Michel Kulhandjian (University of Ottawa & Carleton University, Canada); Youngwook Kim (California State University, Fresno, USA); Claude D’Amours (University of Ottawa, Canada)
Single-Anchor Passive Localization of Full-Duplex Agents
Yan Liu and Yuan Shen (Tsinghua University, P.R. China); Moe Win (Massachusetts Institute of Technology, USA)
A Bayesian Probabilistic Approach to Hybrid Localization with GNSS and LTE-OTDOA in Multipath Channels
Chunhua Geng and Howard Huang (Nokia Bell Labs, USA)

Thursday, May 24, 14:00 - 14:45

W14-K2 ANLN: Keynote-II

Progress and Challenges in Multiple-Hypothesis and Graph-Based Approaches to Multi-Target Tracking - Stefano Coraluppi (Systems & Technology Research, USA)

Room: Chicago C

Abstract: The multi-target tracking (MTT) literature includes a dizzying alphabet soup of problem statements, solution methodologies, and performance metrics. This talk identifies some foundational elements of the MTT problem, with the goal of providing an accessible introduction while illustrating interesting aspects and challenges. We focus on the maximum a posteriori (MAP) criterion and the multiple-hypothesis tracking solution paradigm. We address some concerns that have been raised in the literature regarding MHT, and discuss recent advances that include graph-based methods to improve tractability in challenging disparate-sensor settings.

Bio: Dr. Coraluppi is a Chief Scientist at Systems & Technology Research (STR), a Boston-based research company focused on defense and intelligence problems. He received the BS degree in Electrical Engineering and Mathematics from Carnegie Mellon University in 1990, and MS and PhD degrees in Electrical Engineering from the University of Maryland in 1992 and 1997. He has led research in several US and NATO research settings (ALPHATECH, NATO Undersea Research Centre, Compunetix, and STR). His primary focus has been on multi-target tracking and multi-sensor data fusion for difficult surveillance challenges in various domains (air, ground, maritime, and undersea). He is Associate Editor-in-Chief for both the IEEE Transactions on Aerospace and Electronic Systems and the ISIF Journal of Advances in Information Fusion. He serves on the IEEE AESS Board of Governors and the ISIF Board of Directors. This year, he is Technical Co-Chair of ISIF/IEEE FUSION 2018 to be held in Cambridge UK.

Thursday, May 24, 14:45 - 15:45

W14-S3 ANLN: Session 3


Room: Chicago C

Feasibility of single-agent localization from sequential measurements
Javier Prieto (University of Salamanca, Spain); Santiago Mazuelas (Basque Center for Applied Mathematics-BCAM, Spain); Fernando de la Prieta (University of Salamanca, Spain); Juan Corchado (Universidad de Salamaca, Spain)
On the Economics of Incentive Cooperative Localization Mechanisms in Wireless Networks
Yaping Zhu and Yueyue Zhang (Southeast University, P.R. China); Feng Yan, Weiwei Xia and Lianfeng Shen (National Mobile Communications Research Laboratory, Southeast University, P.R. China); Gordon Stüber (Georgia Institute of Technology, USA)
Fundamental Limits for Joint Relative Position and Orientation Estimation
Robert Pöhlmann, Siwei Zhang and Armin Dammann (German Aerospace Center (DLR), Germany); Peter A. Hoeher (University of Kiel, Germany)
Terahertz MIMO Positioning of Swarm UAVs with Millimeter-Level Accuracy for Distributed Sensing
Rico Mendrzik (Hamburg University of Technology, Germany); Danijela Cabric (University of California Los Angeles, USA); Gerhard Bauch (Hamburg University of Technology, Germany)

Thursday, May 24, 16:15 - 17:15

W14-S4 ANLN: Session 4

Optimization and Implementation

Room: Chicago C

Energy Efficient Network Localization Using Hybrid TOA/AOA Measurements
Peng Yuan and Tingting Zhang (Harbin Institute of Technology, Shenzhen Graduate School, P.R. China)
Spectrum Allocation for UAV-Aided Relative Localization of Ground Vehicles
Yuanpeng Liu, Jian Wang and Yuan Shen (Tsinghua University, P.R. China)
Pedestrian GraphSLAM using Smartphone-based PDR in Indoor Environments
Mahi Abdelbar (Virginia Tech & Wireless@VT, USA); Michael Buehrer (Virginia Tech, USA)
An Experimental Investigation of the Bayesian Passive Multi-Target Localization Algorithm
Ranjit Patil, Sundar Aditya and Andreas Molisch (University of Southern California, USA); Hatim Behairy (King Abdulaziz City For Science and Technology, Saudi Arabia)