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Reliability-Oriented Resource Allocation for Wireless Powered Short Packet Communications With Multiple WPT Sources | IEEE Journals & Magazine | IEEE Xplore

Reliability-Oriented Resource Allocation for Wireless Powered Short Packet Communications With Multiple WPT Sources


Abstract:

We study a multi-source wireless power transfer (WPT) enabled network supporting multi-sensor transmissions. Activated by the energy harvesting from multiple WPT sources,...Show More

Abstract:

We study a multi-source wireless power transfer (WPT) enabled network supporting multi-sensor transmissions. Activated by the energy harvesting from multiple WPT sources, the sensors transmit short packets to a destination with finite blocklength (FBL) codes. This work for the first time characterizes the FBL reliability for such multi-source WPT enabled network and accordingly provides reliability-oriented resource allocation designs, while a practical nonlinear EH model (including the effects of mutual interference among multiple RF signals) is considered. For the scenario with a fixed frame structure, we aim to maximize the FBL reliability via optimally allocating the transmit power among the multiple WPT sources. In particular, we investigate the relationship between the overall error probability and the transmit power of multiple WPT sources, based on which a power allocation problem is formulated. To solve the formulated non-convex problem, we first introduce auxiliary variables to make the problem analytically tractable, based on which an iterative algorithm is proposed while applying successive convex approximation (SCA) technique to the non-convex components of the problem. Then, we extend our design into a dynamic frame structure scenario, i.e., the blocklength allocated for WPT phase and short-packet transmission phase are adjustable, which introduces more flexibility and new challenges. In particular, we provide a joint power and blocklength allocation design maximizing the overall reliability under total power and blocklength constraints. A problem with high-dimension variables is formulated, which suffers from the complex and non-convex relationship among system reliability, multiple source power and blocklength. To tackle the difficulties, auxiliary variables introduction, multiple variable substitutions along with SCA technique utilization are exploited to reformulate and efficiently solve the problem. Finally, through numerical results, we validate ...
Published in: IEEE Transactions on Wireless Communications ( Volume: 22, Issue: 12, December 2023)
Page(s): 8983 - 8998
Date of Publication: 21 April 2023

ISSN Information:

Funding Agency:

Author image of Ning Guo
School of Electronic Information, Wuhan University, Wuhan, China
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Ning Guo (Member, IEEE) is currently pursuing the M.E. degree with Wuhan University, Wuhan, China. Her research interests include ultra reliable low latency communication, wireless power transfer networks, and optimization technology.
Ning Guo (Member, IEEE) is currently pursuing the M.E. degree with Wuhan University, Wuhan, China. Her research interests include ultra reliable low latency communication, wireless power transfer networks, and optimization technology.View more
Author image of Xiaopeng Yuan
School of Electronic Information, Wuhan University, Wuhan, China
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Xiaopeng Yuan (Member, IEEE) received the B.Sc. degree in automation from the Beijing University of Aeronautics and Astronautics, China, in 2016, and the M.Sc. and Ph.D. degrees in electrical engineering, information technology, and computer engineering from RWTH Aachen University, Germany, in 2019 and March 2023, respectively. He is currently a Post-Doctoral Research Assistant with the INDA Institute, RWTH Aachen Univers...Show More
Xiaopeng Yuan (Member, IEEE) received the B.Sc. degree in automation from the Beijing University of Aeronautics and Astronautics, China, in 2016, and the M.Sc. and Ph.D. degrees in electrical engineering, information technology, and computer engineering from RWTH Aachen University, Germany, in 2019 and March 2023, respectively. He is currently a Post-Doctoral Research Assistant with the INDA Institute, RWTH Aachen Univers...View more
Author image of Yulin Hu
School of Electronic Information, Wuhan University, Wuhan, China
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Yulin Hu (Senior Member, IEEE) received the M.Sc.E.E. degree from USTC, China, in 2011, and the joint Ph.D. degree (Hons.) from RWTH Aachen University under the supervision of Prof. Anke Schmeink and the KTH Royal Institute of Technology under the supervision of Prof. James Gross in December 2015. He was a Post-Doctoral Research Fellow with RWTH Aachen University from January 2016 to December 2016. He was a Senior Researc...Show More
Yulin Hu (Senior Member, IEEE) received the M.Sc.E.E. degree from USTC, China, in 2011, and the joint Ph.D. degree (Hons.) from RWTH Aachen University under the supervision of Prof. Anke Schmeink and the KTH Royal Institute of Technology under the supervision of Prof. James Gross in December 2015. He was a Post-Doctoral Research Fellow with RWTH Aachen University from January 2016 to December 2016. He was a Senior Researc...View more
Author image of Anke Schmeink
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Anke Schmeink (Senior Member, IEEE) received the Diploma degree in mathematics (medicine) and the Ph.D. degree in electrical engineering and information technology from RWTH Aachen University, Germany, in 2002 and 2006, respectively. Before joining RWTH Aachen University in 2008, she worked as a Research Scientist with Philips Research. She has been a Professor with RWTH Aachen University since 2012. She spent several res...Show More
Anke Schmeink (Senior Member, IEEE) received the Diploma degree in mathematics (medicine) and the Ph.D. degree in electrical engineering and information technology from RWTH Aachen University, Germany, in 2002 and 2006, respectively. Before joining RWTH Aachen University in 2008, she worked as a Research Scientist with Philips Research. She has been a Professor with RWTH Aachen University since 2012. She spent several res...View more

Author image of Ning Guo
School of Electronic Information, Wuhan University, Wuhan, China
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Ning Guo (Member, IEEE) is currently pursuing the M.E. degree with Wuhan University, Wuhan, China. Her research interests include ultra reliable low latency communication, wireless power transfer networks, and optimization technology.
Ning Guo (Member, IEEE) is currently pursuing the M.E. degree with Wuhan University, Wuhan, China. Her research interests include ultra reliable low latency communication, wireless power transfer networks, and optimization technology.View more
Author image of Xiaopeng Yuan
School of Electronic Information, Wuhan University, Wuhan, China
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Xiaopeng Yuan (Member, IEEE) received the B.Sc. degree in automation from the Beijing University of Aeronautics and Astronautics, China, in 2016, and the M.Sc. and Ph.D. degrees in electrical engineering, information technology, and computer engineering from RWTH Aachen University, Germany, in 2019 and March 2023, respectively. He is currently a Post-Doctoral Research Assistant with the INDA Institute, RWTH Aachen University. His research interests include UAV-assisted wireless networks, wireless power transfer networks, ultra-reliable low-latency communication networks, trajectory designs, and optimization technology.
Xiaopeng Yuan (Member, IEEE) received the B.Sc. degree in automation from the Beijing University of Aeronautics and Astronautics, China, in 2016, and the M.Sc. and Ph.D. degrees in electrical engineering, information technology, and computer engineering from RWTH Aachen University, Germany, in 2019 and March 2023, respectively. He is currently a Post-Doctoral Research Assistant with the INDA Institute, RWTH Aachen University. His research interests include UAV-assisted wireless networks, wireless power transfer networks, ultra-reliable low-latency communication networks, trajectory designs, and optimization technology.View more
Author image of Yulin Hu
School of Electronic Information, Wuhan University, Wuhan, China
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Yulin Hu (Senior Member, IEEE) received the M.Sc.E.E. degree from USTC, China, in 2011, and the joint Ph.D. degree (Hons.) from RWTH Aachen University under the supervision of Prof. Anke Schmeink and the KTH Royal Institute of Technology under the supervision of Prof. James Gross in December 2015. He was a Post-Doctoral Research Fellow with RWTH Aachen University from January 2016 to December 2016. He was a Senior Researcher and a Team Leader with Prof. Anke Schmeink at ISEK Research Area, RWTH Aachen University. From May 2017 to July 2017, he was a Visiting Scholar with Prof. M. Cenk Gursoy at Syracuse University, USA. He is currently a Professor with the School of Electronic Information, Wuhan University, and an Adjunct Professor with the INDA Institute, RWTH Aachen University. His research interests include information theory and optimal design of wireless communication systems. He has been invited to contribute submissions to multiple conferences. He was a recipient of the IFIP/IEEE Wireless Days Student Travel Award in 2012. He received the Best Paper Award at the 2017 IEEE ISWCS and the 2017 IEEE PIMRC, respectively. He served as a TPC member for many conferences. He was the Lead Editor of the Urllc-LoPIoT special issue in Physical Communication and the Organizer and the Chair of two special sessions in IEEE ISWCS in 2018 and ISWCS in 2021. He is currently serving as an Editor for IEEE Transactions on Vehicular Technology, Physical Communication (Elsevier), EURASIP Journal on Wireless Communications and Networking, and Frontiers in Communications and Networks.
Yulin Hu (Senior Member, IEEE) received the M.Sc.E.E. degree from USTC, China, in 2011, and the joint Ph.D. degree (Hons.) from RWTH Aachen University under the supervision of Prof. Anke Schmeink and the KTH Royal Institute of Technology under the supervision of Prof. James Gross in December 2015. He was a Post-Doctoral Research Fellow with RWTH Aachen University from January 2016 to December 2016. He was a Senior Researcher and a Team Leader with Prof. Anke Schmeink at ISEK Research Area, RWTH Aachen University. From May 2017 to July 2017, he was a Visiting Scholar with Prof. M. Cenk Gursoy at Syracuse University, USA. He is currently a Professor with the School of Electronic Information, Wuhan University, and an Adjunct Professor with the INDA Institute, RWTH Aachen University. His research interests include information theory and optimal design of wireless communication systems. He has been invited to contribute submissions to multiple conferences. He was a recipient of the IFIP/IEEE Wireless Days Student Travel Award in 2012. He received the Best Paper Award at the 2017 IEEE ISWCS and the 2017 IEEE PIMRC, respectively. He served as a TPC member for many conferences. He was the Lead Editor of the Urllc-LoPIoT special issue in Physical Communication and the Organizer and the Chair of two special sessions in IEEE ISWCS in 2018 and ISWCS in 2021. He is currently serving as an Editor for IEEE Transactions on Vehicular Technology, Physical Communication (Elsevier), EURASIP Journal on Wireless Communications and Networking, and Frontiers in Communications and Networks.View more
Author image of Anke Schmeink
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Anke Schmeink (Senior Member, IEEE) received the Diploma degree in mathematics (medicine) and the Ph.D. degree in electrical engineering and information technology from RWTH Aachen University, Germany, in 2002 and 2006, respectively. Before joining RWTH Aachen University in 2008, she worked as a Research Scientist with Philips Research. She has been a Professor with RWTH Aachen University since 2012. She spent several research visits with The University of Melbourne and the University of York. Her research interests include information theory, machine learning, data analytics, and optimization with focus on wireless communications and medical applications. She is a member of the Young Academy of North Rhine-Westphalian Academy of Sciences, Humanities and the Arts.
Anke Schmeink (Senior Member, IEEE) received the Diploma degree in mathematics (medicine) and the Ph.D. degree in electrical engineering and information technology from RWTH Aachen University, Germany, in 2002 and 2006, respectively. Before joining RWTH Aachen University in 2008, she worked as a Research Scientist with Philips Research. She has been a Professor with RWTH Aachen University since 2012. She spent several research visits with The University of Melbourne and the University of York. Her research interests include information theory, machine learning, data analytics, and optimization with focus on wireless communications and medical applications. She is a member of the Young Academy of North Rhine-Westphalian Academy of Sciences, Humanities and the Arts.View more
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