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Accuracy Versus Complexity for mmWave Ray-Tracing: A Full Stack Perspective | IEEE Journals & Magazine | IEEE Xplore

Accuracy Versus Complexity for mmWave Ray-Tracing: A Full Stack Perspective


Abstract:

The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems. The high propagation loss in this po...Show More

Abstract:

The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems. The high propagation loss in this portion of the spectrum calls for the deployment of large antenna arrays to compensate for the loss through high directional gain, thus introducing the need for a spatial dimension in the channel model to accurately represent the performance of a mmWave network. In this perspective, ray tracing can characterize the channel in terms of Multi Path Components (MPCs) to provide a highly accurate model, at the price of extreme computational complexity (e.g., for processing detailed environment information about the propagation), which may limit the scalability of the simulations. In this paper, we present possible simplifications to improve the trade-off between accuracy and complexity in ray-tracing simulations at mmWaves by reducing the total number of MPCs. The effect of such simplifications is evaluated from a full-stack perspective through end-to-end simulations, testing different configuration parameters, propagation scenarios, and higher-layer protocol implementations. We then provide guidelines on the optimal degree of simplification, for which it is possible to reduce the complexity of simulations with a minimal reduction in accuracy for different deployment scenarios.
Published in: IEEE Transactions on Wireless Communications ( Volume: 20, Issue: 12, December 2021)
Page(s): 7826 - 7841
Date of Publication: 17 June 2021

ISSN Information:

Funding Agency:

Author image of Mattia Lecci
Department of Information Engineering, University of Padova, Padova, Italy
Mattia Lecci (Graduate Student Member, IEEE) received the B.Sc. degree (Hons.) in information engineering and the M.Sc. degree (Hons.) in telecommunication engineering from the University of Padova, Italy, in 2016 and 2018, respectively, where he is currently pursuing the Ph.D. degree in information engineering.
He was a Guest Researcher with the National Institute for Standards and Technology (NIST). His main research act...Show More
Mattia Lecci (Graduate Student Member, IEEE) received the B.Sc. degree (Hons.) in information engineering and the M.Sc. degree (Hons.) in telecommunication engineering from the University of Padova, Italy, in 2016 and 2018, respectively, where he is currently pursuing the Ph.D. degree in information engineering.
He was a Guest Researcher with the National Institute for Standards and Technology (NIST). His main research act...View more
Author image of Paolo Testolina
Department of Information Engineering, University of Padova, Padova, Italy
Paolo Testolina (Graduate Student Member, IEEE) received the B.Sc. degree in information engineering and the M.Sc. degree (Hons.) in telecommunication engineering from the University of Padova, in 2016 and 2018, respectively, where he is currently pursuing the Ph.D. degree in information engineering. His research focuses mainly on mmWave networks, from channel modeling to link layer simulation, and vehicular networks.
Paolo Testolina (Graduate Student Member, IEEE) received the B.Sc. degree in information engineering and the M.Sc. degree (Hons.) in telecommunication engineering from the University of Padova, in 2016 and 2018, respectively, where he is currently pursuing the Ph.D. degree in information engineering. His research focuses mainly on mmWave networks, from channel modeling to link layer simulation, and vehicular networks.View more
Author image of Michele Polese
Institute for the Wireless Internet of Things, Northeastern University, Boston, MA, USA
Michele Polese (Member, IEEE) received the Ph.D. degree from the Department of Information Engineering, University of Padova, in 2020. During his Ph.D., he visited New York University (NYU), AT&T Labs, Bedminster, NJ, USA, and Northeastern University.
From 2019 to 2020, he was an Adjunct Professor and a Post-Doctoral Researcher with the University of Padova. He has been a Principal Research Scientist with Northeastern Univ...Show More
Michele Polese (Member, IEEE) received the Ph.D. degree from the Department of Information Engineering, University of Padova, in 2020. During his Ph.D., he visited New York University (NYU), AT&T Labs, Bedminster, NJ, USA, and Northeastern University.
From 2019 to 2020, he was an Adjunct Professor and a Post-Doctoral Researcher with the University of Padova. He has been a Principal Research Scientist with Northeastern Univ...View more
Author image of Marco Giordani
Department of Information Engineering, University of Padova, Padova, Italy
Marco Giordani (Member, IEEE) received the Ph.D. degree in information engineering from the University of Padova, Italy, in 2020.
He is currently a Post-Doctoral Researcher and an Adjunct Professor with the University of Padova. During his Ph.D., he visited New York University (NYU), New York, NY, USA, and TOYOTA Infotechnology Center Inc., USA. He has been collaborating with several academic and industrial research partne...Show More
Marco Giordani (Member, IEEE) received the Ph.D. degree in information engineering from the University of Padova, Italy, in 2020.
He is currently a Post-Doctoral Researcher and an Adjunct Professor with the University of Padova. During his Ph.D., he visited New York University (NYU), New York, NY, USA, and TOYOTA Infotechnology Center Inc., USA. He has been collaborating with several academic and industrial research partne...View more
Author image of Michele Zorzi
Department of Information Engineering, University of Padova, Padova, Italy
Michele Zorzi (Fellow, IEEE) received the Laurea and Ph.D. degrees in electrical engineering from the University of Padova, Italy, in 1990 and 1994, respectively.
From 1992 to 1993, he was on leave with the University of California at San Diego (UCSD). In 1993, he joined as a Faculty Member with the Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy. After spending three years with the Center for Wire...Show More
Michele Zorzi (Fellow, IEEE) received the Laurea and Ph.D. degrees in electrical engineering from the University of Padova, Italy, in 1990 and 1994, respectively.
From 1992 to 1993, he was on leave with the University of California at San Diego (UCSD). In 1993, he joined as a Faculty Member with the Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy. After spending three years with the Center for Wire...View more

Author image of Mattia Lecci
Department of Information Engineering, University of Padova, Padova, Italy
Mattia Lecci (Graduate Student Member, IEEE) received the B.Sc. degree (Hons.) in information engineering and the M.Sc. degree (Hons.) in telecommunication engineering from the University of Padova, Italy, in 2016 and 2018, respectively, where he is currently pursuing the Ph.D. degree in information engineering.
He was a Guest Researcher with the National Institute for Standards and Technology (NIST). His main research activities are channel modeling for the mmWave frequency band, MAC scheduling for WiGig technologies, applied machine learning for communications, virtual reality traffic modeling, and open-source software development.
Mattia Lecci (Graduate Student Member, IEEE) received the B.Sc. degree (Hons.) in information engineering and the M.Sc. degree (Hons.) in telecommunication engineering from the University of Padova, Italy, in 2016 and 2018, respectively, where he is currently pursuing the Ph.D. degree in information engineering.
He was a Guest Researcher with the National Institute for Standards and Technology (NIST). His main research activities are channel modeling for the mmWave frequency band, MAC scheduling for WiGig technologies, applied machine learning for communications, virtual reality traffic modeling, and open-source software development.View more
Author image of Paolo Testolina
Department of Information Engineering, University of Padova, Padova, Italy
Paolo Testolina (Graduate Student Member, IEEE) received the B.Sc. degree in information engineering and the M.Sc. degree (Hons.) in telecommunication engineering from the University of Padova, in 2016 and 2018, respectively, where he is currently pursuing the Ph.D. degree in information engineering. His research focuses mainly on mmWave networks, from channel modeling to link layer simulation, and vehicular networks.
Paolo Testolina (Graduate Student Member, IEEE) received the B.Sc. degree in information engineering and the M.Sc. degree (Hons.) in telecommunication engineering from the University of Padova, in 2016 and 2018, respectively, where he is currently pursuing the Ph.D. degree in information engineering. His research focuses mainly on mmWave networks, from channel modeling to link layer simulation, and vehicular networks.View more
Author image of Michele Polese
Institute for the Wireless Internet of Things, Northeastern University, Boston, MA, USA
Michele Polese (Member, IEEE) received the Ph.D. degree from the Department of Information Engineering, University of Padova, in 2020. During his Ph.D., he visited New York University (NYU), AT&T Labs, Bedminster, NJ, USA, and Northeastern University.
From 2019 to 2020, he was an Adjunct Professor and a Post-Doctoral Researcher with the University of Padova. He has been a Principal Research Scientist with Northeastern University, Boston, MA, USA, since March 2020, and was a part-time Lecturer with Northeastern University in Fall 2020. He has collaborated with several academic and industrial research partners, including Intel, InterDigital, NYU, AT&T Laboratories, Aalborg University, King’s College London, and NIST. His research interests include analysis and development of protocols and architectures for future generations of cellular networks (5G and beyond).
Dr. Polese was awarded with an Honorable Mention by the Human Inspired Technology Research Center (HIT) in 2018, the Best Journal Paper Award of the IEEE ComSoc Technical Committee on Communications Systems Integration and Modeling (CSIM) in 2019, and the Best Paper Award at WNS3 in 2019.
Michele Polese (Member, IEEE) received the Ph.D. degree from the Department of Information Engineering, University of Padova, in 2020. During his Ph.D., he visited New York University (NYU), AT&T Labs, Bedminster, NJ, USA, and Northeastern University.
From 2019 to 2020, he was an Adjunct Professor and a Post-Doctoral Researcher with the University of Padova. He has been a Principal Research Scientist with Northeastern University, Boston, MA, USA, since March 2020, and was a part-time Lecturer with Northeastern University in Fall 2020. He has collaborated with several academic and industrial research partners, including Intel, InterDigital, NYU, AT&T Laboratories, Aalborg University, King’s College London, and NIST. His research interests include analysis and development of protocols and architectures for future generations of cellular networks (5G and beyond).
Dr. Polese was awarded with an Honorable Mention by the Human Inspired Technology Research Center (HIT) in 2018, the Best Journal Paper Award of the IEEE ComSoc Technical Committee on Communications Systems Integration and Modeling (CSIM) in 2019, and the Best Paper Award at WNS3 in 2019.View more
Author image of Marco Giordani
Department of Information Engineering, University of Padova, Padova, Italy
Marco Giordani (Member, IEEE) received the Ph.D. degree in information engineering from the University of Padova, Italy, in 2020.
He is currently a Post-Doctoral Researcher and an Adjunct Professor with the University of Padova. During his Ph.D., he visited New York University (NYU), New York, NY, USA, and TOYOTA Infotechnology Center Inc., USA. He has been collaborating with several academic and industrial research partners, including InterDigital, NYU, TOYOTA, NIST, the U.S. Army Research Office, Orange, Huawei, King’s College, and KAUST. He has coauthored over 50 published articles in the area of millimeter wave wireless networks, two of which have received Best Paper Awards. His research interests include protocol and architecture design for 5G/6G cellular and vehicular networks.
Dr. Giordani was a recipient of several awards, including the IEEE Daniel E. Noble Fellowship Award from the IEEE Vehicular Technology Society, the Francesco Carassa Prize from the Italian Telecommunications and Information Theory Group (GTTI), and the Young Researcher Award from the Human Inspired Technology Research Center (HIT). He serves as an Associate Editor for the “Aerial and Space Networks” section of the Frontiers in Communications and Networks Journal. He is also serving as a Guest Editor for the Special Issue on “Connected and Autonomous Vehicles: Sensors and Communication Technologies” of the Sensors journal (MDPI).
Marco Giordani (Member, IEEE) received the Ph.D. degree in information engineering from the University of Padova, Italy, in 2020.
He is currently a Post-Doctoral Researcher and an Adjunct Professor with the University of Padova. During his Ph.D., he visited New York University (NYU), New York, NY, USA, and TOYOTA Infotechnology Center Inc., USA. He has been collaborating with several academic and industrial research partners, including InterDigital, NYU, TOYOTA, NIST, the U.S. Army Research Office, Orange, Huawei, King’s College, and KAUST. He has coauthored over 50 published articles in the area of millimeter wave wireless networks, two of which have received Best Paper Awards. His research interests include protocol and architecture design for 5G/6G cellular and vehicular networks.
Dr. Giordani was a recipient of several awards, including the IEEE Daniel E. Noble Fellowship Award from the IEEE Vehicular Technology Society, the Francesco Carassa Prize from the Italian Telecommunications and Information Theory Group (GTTI), and the Young Researcher Award from the Human Inspired Technology Research Center (HIT). He serves as an Associate Editor for the “Aerial and Space Networks” section of the Frontiers in Communications and Networks Journal. He is also serving as a Guest Editor for the Special Issue on “Connected and Autonomous Vehicles: Sensors and Communication Technologies” of the Sensors journal (MDPI).View more
Author image of Michele Zorzi
Department of Information Engineering, University of Padova, Padova, Italy
Michele Zorzi (Fellow, IEEE) received the Laurea and Ph.D. degrees in electrical engineering from the University of Padova, Italy, in 1990 and 1994, respectively.
From 1992 to 1993, he was on leave with the University of California at San Diego (UCSD). In 1993, he joined as a Faculty Member with the Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy. After spending three years with the Center for Wireless Communications, UCSD, in 1998, he joined the School of Engineering, University of Ferrara, Italy, where he became a Professor in 2000. Since November 2003, he has been a Faculty Member with the Department of Information Engineering, University of Padova. His current research interests include performance evaluation in mobile communications systems, the Internet of Things, cognitive communications and networking, 5G mmWave cellular systems, vehicular networks, and underwater communications and networks.
Dr. Zorzi received several awards from the IEEE Communications Society, including the Best Tutorial Paper Award in 2008 and 2019, the Education Award in 2016, the Stephen O. Rice Best Paper Award in 2018, and the Joseph LoCicero Award for Exemplary Service to Publications in 2020. He was the Editor-in-Chief of the IEEE Wireless Communications Magazine from 2003 to 2005, IEEE Transactions on Communications from 2008 to 2011, and IEEE Transactions on Cognitive Communications and Networking from 2014 to 2018. He has served the IEEE Communications Society as a Member-at-Large of the Board of Governors from 2009 to 2011 and from 2021 to 2023, and the Director of Education from 2014 to 2015 and journals from 2020 to 2021.
Michele Zorzi (Fellow, IEEE) received the Laurea and Ph.D. degrees in electrical engineering from the University of Padova, Italy, in 1990 and 1994, respectively.
From 1992 to 1993, he was on leave with the University of California at San Diego (UCSD). In 1993, he joined as a Faculty Member with the Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy. After spending three years with the Center for Wireless Communications, UCSD, in 1998, he joined the School of Engineering, University of Ferrara, Italy, where he became a Professor in 2000. Since November 2003, he has been a Faculty Member with the Department of Information Engineering, University of Padova. His current research interests include performance evaluation in mobile communications systems, the Internet of Things, cognitive communications and networking, 5G mmWave cellular systems, vehicular networks, and underwater communications and networks.
Dr. Zorzi received several awards from the IEEE Communications Society, including the Best Tutorial Paper Award in 2008 and 2019, the Education Award in 2016, the Stephen O. Rice Best Paper Award in 2018, and the Joseph LoCicero Award for Exemplary Service to Publications in 2020. He was the Editor-in-Chief of the IEEE Wireless Communications Magazine from 2003 to 2005, IEEE Transactions on Communications from 2008 to 2011, and IEEE Transactions on Cognitive Communications and Networking from 2014 to 2018. He has served the IEEE Communications Society as a Member-at-Large of the Board of Governors from 2009 to 2011 and from 2021 to 2023, and the Director of Education from 2014 to 2015 and journals from 2020 to 2021.View more

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