Abstract:
Global Navigation Satellite Systems typically perform poorly in urban environments, where the likelihood of line-of-sight conditions between devices and satellites is low...Show MoreMetadata
Abstract:
Global Navigation Satellite Systems typically perform poorly in urban environments, where the likelihood of line-of-sight conditions between devices and satellites is low. Therefore, alternative location methods are required to achieve good accuracy. We present LocUNet: A convolutional, end-to-end trained neural network (NN) for the localization task, which is able to estimate the position of a user from the received signal strength (RSS) of a small number of Base Stations (BS). Using estimations of pathloss radio maps of the BSs and the RSS measurements of the users to be localized, LocUNet can localize users with state-of-the-art accuracy and enjoys high robustness to inaccuracies in the estimations of radio maps. The proposed method does not require generating RSS fingerprints of each specific area where the localization task is performed and is suitable for real-time applications. Moreover, two novel datasets that allow for numerical evaluations of RSS and ToA methods in realistic urban environments are presented and made publicly available for the research community. By using these datasets, we also provide a fair comparison of state-of-the-art RSS and ToA-based methods in the dense urban scenario and show numerically that LocUNet outperforms all the compared methods.
Published in: IEEE Transactions on Wireless Communications ( Volume: 22, Issue: 12, December 2023)
Funding Agency:
Institute of Telecommunication Systems, Technical University of Berlin (TU Berlin), Berlin, Germany
Çağkan Yapar (Graduate Student Member, IEEE) received the B.Sc. degree in electrical and electronics engineering from Boğaziçi University in 2012 and the M.Sc. degree in electrical engineering and information technology from TU Munich in 2015. He is currently a Ph.D. Researcher with the Communications and Information Theory Chair, Technical University of Berlin (TU Berlin), Germany. His research interests include machine ...Show More
Çağkan Yapar (Graduate Student Member, IEEE) received the B.Sc. degree in electrical and electronics engineering from Boğaziçi University in 2012 and the M.Sc. degree in electrical engineering and information technology from TU Munich in 2015. He is currently a Ph.D. Researcher with the Communications and Information Theory Chair, Technical University of Berlin (TU Berlin), Germany. His research interests include machine ...View more
Faculty of Mathematics, Technion—Israel Institute of Technology, Haifa, Israel
Ron Levie received the Ph.D. degree in applied mathematics from Tel Aviv University, Israel, in 2018. From 2018 to 2020, he was a Post-Doctoral Researcher with the Institute of Mathematics, TU Berlin, Germany. From 2021 to 2022, he was a Post-Doctoral Researcher with the Department of Mathematics, LMU Munich, Germany. Since 2022, he has been an Assistant Professor (Senior Lecturer) with the Faculty of Mathematics, Technio...Show More
Ron Levie received the Ph.D. degree in applied mathematics from Tel Aviv University, Israel, in 2018. From 2018 to 2020, he was a Post-Doctoral Researcher with the Institute of Mathematics, TU Berlin, Germany. From 2021 to 2022, he was a Post-Doctoral Researcher with the Department of Mathematics, LMU Munich, Germany. Since 2022, he has been an Assistant Professor (Senior Lecturer) with the Faculty of Mathematics, Technio...View more
Department of Mathematics, LMU Munich, Munich, Germany
Department of Physics and Technology, University of Troms, Troms, Norway
Gitta Kutyniok (Senior Member, IEEE) received the Diploma degree in mathematics and computer science and the Ph.D. degree from Universität Paderborn, Germany, and the Habilitation degree in mathematics from Justus-Liebig Universität Giessen in 2006.
From 2001 to 2008, she held visiting positions at several U.S. institutions, including Princeton University, Stanford University, Yale University, the Georgia Institute of Tech...Show More
Gitta Kutyniok (Senior Member, IEEE) received the Diploma degree in mathematics and computer science and the Ph.D. degree from Universität Paderborn, Germany, and the Habilitation degree in mathematics from Justus-Liebig Universität Giessen in 2006.
From 2001 to 2008, she held visiting positions at several U.S. institutions, including Princeton University, Stanford University, Yale University, the Georgia Institute of Tech...View more
Institute of Telecommunication Systems, Technical University of Berlin (TU Berlin), Berlin, Germany
Giuseppe Caire (Fellow, IEEE) was born in Torino in 1965. He received the B.Sc. degree in electrical engineering from Politecnico di Torino in 1990, the M.Sc. degree in electrical engineering from Princeton University in 1992, and the Ph.D. degree from Politecnico di Torino in 1994.
From 1994 to 1995, he was a Post-Doctoral Research Fellow with the European Space Agency (ESTEC), Noordwijk, The Netherlands. He was an Assist...Show More
Giuseppe Caire (Fellow, IEEE) was born in Torino in 1965. He received the B.Sc. degree in electrical engineering from Politecnico di Torino in 1990, the M.Sc. degree in electrical engineering from Princeton University in 1992, and the Ph.D. degree from Politecnico di Torino in 1994.
From 1994 to 1995, he was a Post-Doctoral Research Fellow with the European Space Agency (ESTEC), Noordwijk, The Netherlands. He was an Assist...View more
Contents Institute of Telecommunication Systems, Technical University of Berlin (TU Berlin), Berlin, Germany
Çağkan Yapar (Graduate Student Member, IEEE) received the B.Sc. degree in electrical and electronics engineering from Boğaziçi University in 2012 and the M.Sc. degree in electrical engineering and information technology from TU Munich in 2015. He is currently a Ph.D. Researcher with the Communications and Information Theory Chair, Technical University of Berlin (TU Berlin), Germany. His research interests include machine learning, information theory, communications, and signal processing.
Çağkan Yapar (Graduate Student Member, IEEE) received the B.Sc. degree in electrical and electronics engineering from Boğaziçi University in 2012 and the M.Sc. degree in electrical engineering and information technology from TU Munich in 2015. He is currently a Ph.D. Researcher with the Communications and Information Theory Chair, Technical University of Berlin (TU Berlin), Germany. His research interests include machine learning, information theory, communications, and signal processing.View more
Faculty of Mathematics, Technion—Israel Institute of Technology, Haifa, Israel
Ron Levie received the Ph.D. degree in applied mathematics from Tel Aviv University, Israel, in 2018. From 2018 to 2020, he was a Post-Doctoral Researcher with the Institute of Mathematics, TU Berlin, Germany. From 2021 to 2022, he was a Post-Doctoral Researcher with the Department of Mathematics, LMU Munich, Germany. Since 2022, he has been an Assistant Professor (Senior Lecturer) with the Faculty of Mathematics, Technion—Israel Institute of Technology. His current research interests include theory of deep learning, geometric deep learning, explainability of deep learning, signal processing, and applied harmonic analysis.
Ron Levie received the Ph.D. degree in applied mathematics from Tel Aviv University, Israel, in 2018. From 2018 to 2020, he was a Post-Doctoral Researcher with the Institute of Mathematics, TU Berlin, Germany. From 2021 to 2022, he was a Post-Doctoral Researcher with the Department of Mathematics, LMU Munich, Germany. Since 2022, he has been an Assistant Professor (Senior Lecturer) with the Faculty of Mathematics, Technion—Israel Institute of Technology. His current research interests include theory of deep learning, geometric deep learning, explainability of deep learning, signal processing, and applied harmonic analysis.View more
Department of Mathematics, LMU Munich, Munich, Germany
Department of Physics and Technology, University of Troms, Troms, Norway
Gitta Kutyniok (Senior Member, IEEE) received the Diploma degree in mathematics and computer science and the Ph.D. degree from Universität Paderborn, Germany, and the Habilitation degree in mathematics from Justus-Liebig Universität Giessen in 2006.
From 2001 to 2008, she held visiting positions at several U.S. institutions, including Princeton University, Stanford University, Yale University, the Georgia Institute of Technology, and Washington University in St. Louis. In 2008, she became a Full Professor of mathematics with Universität Osnabrück, and moved to Berlin three years later, where she held an Einstein Chair with the Institute of Mathematics, Technische Universität Berlin, and a courtesy appointment with the Department of Computer Science and Engineering until 2020. Since 2019, she has been an Adjunct Professor of machine learning with the University of Tromso. She is currently a Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence with Ludwig-Maximilians-Universität München (LMU). She acts as the LMU-Director of the Konrad Zuse School of Excellence in Reliable AI (relAI), Munich. She is also the Main Coordinator of the Research Focus “Next Generation AI” with the Center for Advanced Studies, LMU, and the DFG-Priority Program “Theoretical Foundations of Deep Learning.” Her research interests include applied and computational harmonic analysis, artificial intelligence, compressed sensing, deep learning, imaging sciences, inverse problems, and applications to life sciences, robotics, and telecommunication.
Dr. Kutyniok was elected as a member of the Berlin-Brandenburg Academy of Sciences and Humanities in 2017 and the European Academy of Sciences in 2022. She became a SIAM Fellow in 2019. She has received various awards for her research, such as the Award from Universität Paderborn in 2003, the Research Prize of Justus-Liebig Universität Giessen and a Heisenberg-Fellowship in 2006, and the von Kaven Prize by the DFG in 2007. She was invited as the Noether Lecturer with the ÖMG-DMV Congress in 2013, a Plenary Lecturer at the 8th European Congress of Mathematics (8ECM) in 2021, and a Lecturer of the London Mathematical Society (LMS) Invited Lecture Series in 2022. She was also honored by invited lectures at both the International Congress of Mathematicians 2022 (ICM 2022) and the International Congress on Industrial and Applied Mathematics (ICIAM 2023). She serves as the Vice President-at-Large of SIAM. More information can be found at: https://www.ai.math.lmu.de/kutyniok.
Gitta Kutyniok (Senior Member, IEEE) received the Diploma degree in mathematics and computer science and the Ph.D. degree from Universität Paderborn, Germany, and the Habilitation degree in mathematics from Justus-Liebig Universität Giessen in 2006.
From 2001 to 2008, she held visiting positions at several U.S. institutions, including Princeton University, Stanford University, Yale University, the Georgia Institute of Technology, and Washington University in St. Louis. In 2008, she became a Full Professor of mathematics with Universität Osnabrück, and moved to Berlin three years later, where she held an Einstein Chair with the Institute of Mathematics, Technische Universität Berlin, and a courtesy appointment with the Department of Computer Science and Engineering until 2020. Since 2019, she has been an Adjunct Professor of machine learning with the University of Tromso. She is currently a Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence with Ludwig-Maximilians-Universität München (LMU). She acts as the LMU-Director of the Konrad Zuse School of Excellence in Reliable AI (relAI), Munich. She is also the Main Coordinator of the Research Focus “Next Generation AI” with the Center for Advanced Studies, LMU, and the DFG-Priority Program “Theoretical Foundations of Deep Learning.” Her research interests include applied and computational harmonic analysis, artificial intelligence, compressed sensing, deep learning, imaging sciences, inverse problems, and applications to life sciences, robotics, and telecommunication.
Dr. Kutyniok was elected as a member of the Berlin-Brandenburg Academy of Sciences and Humanities in 2017 and the European Academy of Sciences in 2022. She became a SIAM Fellow in 2019. She has received various awards for her research, such as the Award from Universität Paderborn in 2003, the Research Prize of Justus-Liebig Universität Giessen and a Heisenberg-Fellowship in 2006, and the von Kaven Prize by the DFG in 2007. She was invited as the Noether Lecturer with the ÖMG-DMV Congress in 2013, a Plenary Lecturer at the 8th European Congress of Mathematics (8ECM) in 2021, and a Lecturer of the London Mathematical Society (LMS) Invited Lecture Series in 2022. She was also honored by invited lectures at both the International Congress of Mathematicians 2022 (ICM 2022) and the International Congress on Industrial and Applied Mathematics (ICIAM 2023). She serves as the Vice President-at-Large of SIAM. More information can be found at: https://www.ai.math.lmu.de/kutyniok.View more
Institute of Telecommunication Systems, Technical University of Berlin (TU Berlin), Berlin, Germany
Giuseppe Caire (Fellow, IEEE) was born in Torino in 1965. He received the B.Sc. degree in electrical engineering from Politecnico di Torino in 1990, the M.Sc. degree in electrical engineering from Princeton University in 1992, and the Ph.D. degree from Politecnico di Torino in 1994.
From 1994 to 1995, he was a Post-Doctoral Research Fellow with the European Space Agency (ESTEC), Noordwijk, The Netherlands. He was an Assistant Professor of telecommunications with Politecnico di Torino. He was an Associate Professor with the University of Parma, Italy. He was a Professor with the Department of Mobile Communications, Eurecom Institute, Sophia-Antipolis, France. He was a Professor of electrical engineering with the Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA. He is currently an Alexander von Humboldt Professor with the Faculty of Electrical Engineering and Computer Science, Technical University of Berlin, Germany. His main research interests include communications theory, information theory, and channel and source coding, with a particular focus on wireless communications. He has served in the Board of Governors for the IEEE Information Theory Society from 2004 to 2007 and as an Officer from 2008 to 2013. He was a recipient of the 2021 Leibinz Prize of the German National Science Foundation (DFG). He received the Jack Neubauer Best System Paper Award from the IEEE Vehicular Technology Society in 2003, the IEEE Communications Society and Information Theory Society Joint Paper Award in 2004 and 2011, the Okawa Research Award in 2006, the Alexander von Humboldt Professorship in 2014, the Vodafone Innovation Prize in 2015, an ERC Advanced Grant in 2018, the Leonard G. Abraham Prize for Best IEEE Journal on Selected Areas in Communications Paper in 2019, and the IEEE Communications Society Edwin Howard Armstrong Achievement Award in 2020. He was the President of the IEEE Information Theory Society in 2011.
Giuseppe Caire (Fellow, IEEE) was born in Torino in 1965. He received the B.Sc. degree in electrical engineering from Politecnico di Torino in 1990, the M.Sc. degree in electrical engineering from Princeton University in 1992, and the Ph.D. degree from Politecnico di Torino in 1994.
From 1994 to 1995, he was a Post-Doctoral Research Fellow with the European Space Agency (ESTEC), Noordwijk, The Netherlands. He was an Assistant Professor of telecommunications with Politecnico di Torino. He was an Associate Professor with the University of Parma, Italy. He was a Professor with the Department of Mobile Communications, Eurecom Institute, Sophia-Antipolis, France. He was a Professor of electrical engineering with the Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA. He is currently an Alexander von Humboldt Professor with the Faculty of Electrical Engineering and Computer Science, Technical University of Berlin, Germany. His main research interests include communications theory, information theory, and channel and source coding, with a particular focus on wireless communications. He has served in the Board of Governors for the IEEE Information Theory Society from 2004 to 2007 and as an Officer from 2008 to 2013. He was a recipient of the 2021 Leibinz Prize of the German National Science Foundation (DFG). He received the Jack Neubauer Best System Paper Award from the IEEE Vehicular Technology Society in 2003, the IEEE Communications Society and Information Theory Society Joint Paper Award in 2004 and 2011, the Okawa Research Award in 2006, the Alexander von Humboldt Professorship in 2014, the Vodafone Innovation Prize in 2015, an ERC Advanced Grant in 2018, the Leonard G. Abraham Prize for Best IEEE Journal on Selected Areas in Communications Paper in 2019, and the IEEE Communications Society Edwin Howard Armstrong Achievement Award in 2020. He was the President of the IEEE Information Theory Society in 2011.View more
