Abstract:
Channel gain cartography aims at inferring the channel gains between two arbitrary points in space based on the measurements (samples) of the gains collected by a set of ...Show MoreMetadata
Abstract:
Channel gain cartography aims at inferring the channel gains between two arbitrary points in space based on the measurements (samples) of the gains collected by a set of radios deployed in the area. Channel gain maps are useful for various sensing and resource allocation tasks essential for the operation of cognitive radio networks. In this paper, the channel gains are modeled as the tomographic accumulations of an underlying spatial loss field (SLF), which captures the attenuation in the signal strength due to the obstacles in the propagation path. In order to estimate the map accurately with a relatively small number of measurements, the SLF is postulated to have a low-rank structure possibly with sparse deviations. Efficient batch and online algorithms are derived for the resulting map reconstruction problem. Comprehensive tests with both synthetic and real data sets corroborate that the algorithms can accurately reveal the structure of the propagation medium, and produce the desired channel gain maps.
Published in: IEEE Transactions on Wireless Communications ( Volume: 16, Issue: 9, September 2017)
Funding Agency:
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Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA
Donghoon Lee (S’12) received the B.Eng. and M.Eng. degrees in electrical engineering from Korea University, Seoul, South Korea, in 2010 and 2013, respectively. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, MN, USA. From 2010 to 2011, he was with the Korea Institute of Science and Technology, Seoul.
His current research interests i...Show More
Donghoon Lee (S’12) received the B.Eng. and M.Eng. degrees in electrical engineering from Korea University, Seoul, South Korea, in 2010 and 2013, respectively. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, MN, USA. From 2010 to 2011, he was with the Korea Institute of Science and Technology, Seoul.
His current research interests i...View more
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Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA
Seung-Jun Kim (SM’12) received the B.S. and M.S. degrees from Seoul National University, Seoul, South Korea, in 1996 and 1998, respectively, and the Ph.D. degree from the University of California at Santa Barbara, CA, USA, in 2005, all in electrical engineering. From 2005 to 2008, he was with NEC Laboratories America, Princeton, NJ, USA, as a Research Staff Member. He was with the Digital Technology Center and the Departm...Show More
Seung-Jun Kim (SM’12) received the B.S. and M.S. degrees from Seoul National University, Seoul, South Korea, in 1996 and 1998, respectively, and the Ph.D. degree from the University of California at Santa Barbara, CA, USA, in 2005, all in electrical engineering. From 2005 to 2008, he was with NEC Laboratories America, Princeton, NJ, USA, as a Research Staff Member. He was with the Digital Technology Center and the Departm...View more
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Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA
Georgios B. Giannakis (F’97) received the Diploma degree in electrical engineering from the National Technical University of Athens, Greece, in 1981, the M.Sc. degree in electrical engineering and the M.Sc. degree in mathematics from the University of Southern California in 1983 and 1986, respectively, and the Ph.D. degree in electrical engineering from the University of Southern California in 1986. He was with the Univer...Show More
Georgios B. Giannakis (F’97) received the Diploma degree in electrical engineering from the National Technical University of Athens, Greece, in 1981, the M.Sc. degree in electrical engineering and the M.Sc. degree in mathematics from the University of Southern California in 1983 and 1986, respectively, and the Ph.D. degree in electrical engineering from the University of Southern California in 1986. He was with the Univer...View more

Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA
Donghoon Lee (S’12) received the B.Eng. and M.Eng. degrees in electrical engineering from Korea University, Seoul, South Korea, in 2010 and 2013, respectively. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, MN, USA. From 2010 to 2011, he was with the Korea Institute of Science and Technology, Seoul.
His current research interests include statistical signal processing, big data analytics, and machine learning, with applications to wireless communication and networking.
Donghoon Lee (S’12) received the B.Eng. and M.Eng. degrees in electrical engineering from Korea University, Seoul, South Korea, in 2010 and 2013, respectively. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, MN, USA. From 2010 to 2011, he was with the Korea Institute of Science and Technology, Seoul.
His current research interests include statistical signal processing, big data analytics, and machine learning, with applications to wireless communication and networking.View more

Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA
Seung-Jun Kim (SM’12) received the B.S. and M.S. degrees from Seoul National University, Seoul, South Korea, in 1996 and 1998, respectively, and the Ph.D. degree from the University of California at Santa Barbara, CA, USA, in 2005, all in electrical engineering. From 2005 to 2008, he was with NEC Laboratories America, Princeton, NJ, USA, as a Research Staff Member. He was with the Digital Technology Center and the Department of Electrical and Computer Engineering, University of Minnesota, MN, USA, from 2008 to 2014, where his final title was Research Associate Professor. Since 2014, he has been with Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA, as an Assistant Professor. His research interests include statistical signal processing, optimization, and machine learning, with applications to wireless communication and networking, future power systems, and (big) data analytics. He is serving as an Associate Editor of the IEEE Signal Processing Letters.
Seung-Jun Kim (SM’12) received the B.S. and M.S. degrees from Seoul National University, Seoul, South Korea, in 1996 and 1998, respectively, and the Ph.D. degree from the University of California at Santa Barbara, CA, USA, in 2005, all in electrical engineering. From 2005 to 2008, he was with NEC Laboratories America, Princeton, NJ, USA, as a Research Staff Member. He was with the Digital Technology Center and the Department of Electrical and Computer Engineering, University of Minnesota, MN, USA, from 2008 to 2014, where his final title was Research Associate Professor. Since 2014, he has been with Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA, as an Assistant Professor. His research interests include statistical signal processing, optimization, and machine learning, with applications to wireless communication and networking, future power systems, and (big) data analytics. He is serving as an Associate Editor of the IEEE Signal Processing Letters.View more

Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA
Georgios B. Giannakis (F’97) received the Diploma degree in electrical engineering from the National Technical University of Athens, Greece, in 1981, the M.Sc. degree in electrical engineering and the M.Sc. degree in mathematics from the University of Southern California in 1983 and 1986, respectively, and the Ph.D. degree in electrical engineering from the University of Southern California in 1986. He was with the University of Virginia from 1987 to 1998. Since 1999, he has been a Professor with the University of Minnesota, where he holds an Endowed Chair in wireless telecommunications, a University of Minnesota McKnight Presidential Chair in ECE, and serves as the Director of the Digital Technology Center.
He is the co-inventor of 30 patents issued. His general interests span the areas of communications, networking and statistical signal processing, subjects on which he has authored over 400 journal papers, 700 conference papers, 25 book chapters, two edited books, and two research monographs (h-index 126). Current research focuses on learning from big data, wireless cognitive radios, and network science with applications to social, brain, and power networks with renewables. He is a fellow of the EURASIP. He has served the IEEE in a number of posts, including as a Distinguished Lecturer of the IEEE Signal Processing (SP) Society. He was a co-recipient of eight best paper awards from the IEEE-SP Society and the Communications Society, including the G. Marconi Prize Paper Award in Wireless Communications. He also received the Technical Achievement Award from the SP Society (2000), from the EURASIP (2005), the Young Faculty Teaching Award, the G. W. Taylor Award for Distinguished Research from the University of Minnesota, and the IEEE Fourier Technical Field Award (2015).
Georgios B. Giannakis (F’97) received the Diploma degree in electrical engineering from the National Technical University of Athens, Greece, in 1981, the M.Sc. degree in electrical engineering and the M.Sc. degree in mathematics from the University of Southern California in 1983 and 1986, respectively, and the Ph.D. degree in electrical engineering from the University of Southern California in 1986. He was with the University of Virginia from 1987 to 1998. Since 1999, he has been a Professor with the University of Minnesota, where he holds an Endowed Chair in wireless telecommunications, a University of Minnesota McKnight Presidential Chair in ECE, and serves as the Director of the Digital Technology Center.
He is the co-inventor of 30 patents issued. His general interests span the areas of communications, networking and statistical signal processing, subjects on which he has authored over 400 journal papers, 700 conference papers, 25 book chapters, two edited books, and two research monographs (h-index 126). Current research focuses on learning from big data, wireless cognitive radios, and network science with applications to social, brain, and power networks with renewables. He is a fellow of the EURASIP. He has served the IEEE in a number of posts, including as a Distinguished Lecturer of the IEEE Signal Processing (SP) Society. He was a co-recipient of eight best paper awards from the IEEE-SP Society and the Communications Society, including the G. Marconi Prize Paper Award in Wireless Communications. He also received the Technical Achievement Award from the SP Society (2000), from the EURASIP (2005), the Young Faculty Teaching Award, the G. W. Taylor Award for Distinguished Research from the University of Minnesota, and the IEEE Fourier Technical Field Award (2015).View more