Abstract:
In this paper, we investigate a reconfigurable intelligent surface (RIS)-assisted mobile edge computing (MEC) network aiming to maximize the energy efficiency in the fini...Show MoreMetadata
Abstract:
In this paper, we investigate a reconfigurable intelligent surface (RIS)-assisted mobile edge computing (MEC) network aiming to maximize the energy efficiency in the finite blocklength (FBL) regime under both coding length and maximum decoding error rate constraints. We first analyze the single user equipment (UE) case and propose a three-step alternating optimization algorithm to solve the problem. Extending the system model, we subsequently investigate a network with multiple UEs, in which non-orthogonal multiple access (NOMA) transmission is adopted. In this more general setting, we also conduct a convergence analysis. Furthermore, we introduce a UE-grouping scheme for hybrid NOMA-TDMA transmission and develop a dynamic CPU frequency allocation algorithm at the mobile edge computing (MEC) server. Numerical results show that the proposed algorithms solve the problem efficiently. Via numerical results, we also identify the impact of various parameters (e.g., coding blocklength, the number of RIS elements, computational resources, number of UEs) on the energy efficiency. Furthermore, with the numerical results, we verify the validity of UE grouping method and demonstrate that the proposed dynamic CPU frequency allocation can enhance the performance substantially.
Published in: IEEE Transactions on Communications ( Volume: 72, Issue: 4, April 2024)
Funding Agency:
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA
Yang Yang received the B.S. degree in information engineering from Southeast University (SEU), China, in 2013, and the master’s degree in electrical and computer engineering from the Worcester Polytechnic Institute (WPI), Worcester, MA, USA, in 2016. He is currently pursuing the Ph.D. degree with Syracuse University (SU). His research interests include unmanned aerial vehicle (UAV), mobile edge computing (MEC), machine le...Show More
Yang Yang received the B.S. degree in information engineering from Southeast University (SEU), China, in 2013, and the master’s degree in electrical and computer engineering from the Worcester Polytechnic Institute (WPI), Worcester, MA, USA, in 2016. He is currently pursuing the Ph.D. degree with Syracuse University (SU). His research interests include unmanned aerial vehicle (UAV), mobile edge computing (MEC), machine le...View more
School of Electronic Information, Wuhan University, Wuhan, China
Yulin Hu (Senior Member, IEEE) received the M.Sc. degree in electrical engineering from the University of Science and Technology of China (USTC), China, in 2011, and the Ph.D. degree (Hons.) in electrical engineering from RWTH Aachen University. He successfully defended his dissertation of a Joint Ph.D. Program supervised by Prof. Anke Schmeink at RWTH Aachen University and Prof. James Gross at the KTH Royal Institute of ...Show More
Yulin Hu (Senior Member, IEEE) received the M.Sc. degree in electrical engineering from the University of Science and Technology of China (USTC), China, in 2011, and the Ph.D. degree (Hons.) in electrical engineering from RWTH Aachen University. He successfully defended his dissertation of a Joint Ph.D. Program supervised by Prof. Anke Schmeink at RWTH Aachen University and Prof. James Gross at the KTH Royal Institute of ...View more
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA
M. Cenk Gursoy (Senior Member, IEEE) received the B.S. degree (Hons.) in electrical and electronics engineering from Boğazi̧i University, Istanbul, Turkey, in 1999, and the Ph.D. degree in electrical engineering from Princeton University, Princeton, NJ, USA, in 2004. He is currently a Professor with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA. His research interest...Show More
M. Cenk Gursoy (Senior Member, IEEE) received the B.S. degree (Hons.) in electrical and electronics engineering from Boğazi̧i University, Istanbul, Turkey, in 1999, and the Ph.D. degree in electrical engineering from Princeton University, Princeton, NJ, USA, in 2004. He is currently a Professor with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA. His research interest...View more
Contents Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA
Yang Yang received the B.S. degree in information engineering from Southeast University (SEU), China, in 2013, and the master’s degree in electrical and computer engineering from the Worcester Polytechnic Institute (WPI), Worcester, MA, USA, in 2016. He is currently pursuing the Ph.D. degree with Syracuse University (SU). His research interests include unmanned aerial vehicle (UAV), mobile edge computing (MEC), machine learning, reconfigurable intelligent surface (RIS), and finite blocklength (FBL) regime.
Yang Yang received the B.S. degree in information engineering from Southeast University (SEU), China, in 2013, and the master’s degree in electrical and computer engineering from the Worcester Polytechnic Institute (WPI), Worcester, MA, USA, in 2016. He is currently pursuing the Ph.D. degree with Syracuse University (SU). His research interests include unmanned aerial vehicle (UAV), mobile edge computing (MEC), machine learning, reconfigurable intelligent surface (RIS), and finite blocklength (FBL) regime.View more
School of Electronic Information, Wuhan University, Wuhan, China
Yulin Hu (Senior Member, IEEE) received the M.Sc. degree in electrical engineering from the University of Science and Technology of China (USTC), China, in 2011, and the Ph.D. degree (Hons.) in electrical engineering from RWTH Aachen University. He successfully defended his dissertation of a Joint Ph.D. Program supervised by Prof. Anke Schmeink at RWTH Aachen University and Prof. James Gross at the KTH Royal Institute of Technology 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 the Team Leader with Prof. Anke Schmeink in ISEK research area at 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 a Visiting Professor with the INDA Institute, RWTH Aachen University. He has been invited to contribute submissions to multiple conferences. His research interests include information theory and optimal design of wireless communication systems. He served as a TPC member for many conferences. He was a recipient of the IFIP/IEEE Wireless Days Student Travel Awards in 2012. He received the Best Paper Awards at IEEE ISWCS 2017 and IEEE PIMRC 2017, respectively. He served as the WS&SS Chair for IEEE SmartData 2022, the Track Co-Chair for ICCCN 2023, and the Organizer and Chair for special sessions in IEEE ISWCS 2018, 2021, and 2023. He is also 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. degree in electrical engineering from the University of Science and Technology of China (USTC), China, in 2011, and the Ph.D. degree (Hons.) in electrical engineering from RWTH Aachen University. He successfully defended his dissertation of a Joint Ph.D. Program supervised by Prof. Anke Schmeink at RWTH Aachen University and Prof. James Gross at the KTH Royal Institute of Technology 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 the Team Leader with Prof. Anke Schmeink in ISEK research area at 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 a Visiting Professor with the INDA Institute, RWTH Aachen University. He has been invited to contribute submissions to multiple conferences. His research interests include information theory and optimal design of wireless communication systems. He served as a TPC member for many conferences. He was a recipient of the IFIP/IEEE Wireless Days Student Travel Awards in 2012. He received the Best Paper Awards at IEEE ISWCS 2017 and IEEE PIMRC 2017, respectively. He served as the WS&SS Chair for IEEE SmartData 2022, the Track Co-Chair for ICCCN 2023, and the Organizer and Chair for special sessions in IEEE ISWCS 2018, 2021, and 2023. He is also 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
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA
M. Cenk Gursoy (Senior Member, IEEE) received the B.S. degree (Hons.) in electrical and electronics engineering from Boğazi̧i University, Istanbul, Turkey, in 1999, and the Ph.D. degree in electrical engineering from Princeton University, Princeton, NJ, USA, in 2004. He is currently a Professor with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA. His research interests include wireless communications, information theory, communication networks, signal processing, and machine learning. He was a recipient of the Gordon Wu Graduate Fellowship from Princeton University from 1999 to 2003. He received an NSF CAREER Award in 2006. More recently, he received the EURASIP Journal on Wireless Communications and Networking Best Paper Award, the 2020 IEEE Region 1 Technological Innovation (Academic) Award, the 38th AIAA/IEEE Digital Avionics Systems Conference Best of Session (UTM-4) Award in 2019, the 2017 IEEE PIMRC Best Paper Award, the 2017 IEEE Green Communications and Computing Technical Committee Best Journal Paper Award, the UNL College Distinguished Teaching Award, and the Maude Hammond Fling Faculty Research Fellowship. He was the Co-Chair of the 2017 International Conference on Computing, Networking and Communications—Communication QoS and System Modeling Symposium, the 2019 IEEE Global Communications Conference (GLOBECOM)—Wireless Communications Symposium, the 2019 IEEE Vehicular Technology Conference Fall—Green Communications and Networks Track, and the 2021 IEEE GLOBECOM, Signal Processing for Communications Symposium. He is the Aerospace/Communications/Signal Processing Chapter Co-Chair of IEEE Syracuse Section. He is an Area Editor of IEEE Transactions on Vehicular Technology. He also served as an Editor for IEEE Transactions on Green Communications and Networking from 2016 to 2021, IEEE Transactions on Wireless Communications from 2010 to 2015 and from 2017 to 2022, IEEE Communications Letters from 2012 to 2014, IEEE Journal on Selected Areas in Communications—Series on Green Communications and Networking (JSAC-SGCN) from 2015 to 2016, Physical Communication (Elsevier) from 2010 to 2017, and IEEE Transactions on Communications from 2013 to 2018. He is an Editor of IEEE Transactions on Communications. He is on the Executive Editorial Committee of IEEE Transactions on Wireless Communications.
M. Cenk Gursoy (Senior Member, IEEE) received the B.S. degree (Hons.) in electrical and electronics engineering from Boğazi̧i University, Istanbul, Turkey, in 1999, and the Ph.D. degree in electrical engineering from Princeton University, Princeton, NJ, USA, in 2004. He is currently a Professor with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA. His research interests include wireless communications, information theory, communication networks, signal processing, and machine learning. He was a recipient of the Gordon Wu Graduate Fellowship from Princeton University from 1999 to 2003. He received an NSF CAREER Award in 2006. More recently, he received the EURASIP Journal on Wireless Communications and Networking Best Paper Award, the 2020 IEEE Region 1 Technological Innovation (Academic) Award, the 38th AIAA/IEEE Digital Avionics Systems Conference Best of Session (UTM-4) Award in 2019, the 2017 IEEE PIMRC Best Paper Award, the 2017 IEEE Green Communications and Computing Technical Committee Best Journal Paper Award, the UNL College Distinguished Teaching Award, and the Maude Hammond Fling Faculty Research Fellowship. He was the Co-Chair of the 2017 International Conference on Computing, Networking and Communications—Communication QoS and System Modeling Symposium, the 2019 IEEE Global Communications Conference (GLOBECOM)—Wireless Communications Symposium, the 2019 IEEE Vehicular Technology Conference Fall—Green Communications and Networks Track, and the 2021 IEEE GLOBECOM, Signal Processing for Communications Symposium. He is the Aerospace/Communications/Signal Processing Chapter Co-Chair of IEEE Syracuse Section. He is an Area Editor of IEEE Transactions on Vehicular Technology. He also served as an Editor for IEEE Transactions on Green Communications and Networking from 2016 to 2021, IEEE Transactions on Wireless Communications from 2010 to 2015 and from 2017 to 2022, IEEE Communications Letters from 2012 to 2014, IEEE Journal on Selected Areas in Communications—Series on Green Communications and Networking (JSAC-SGCN) from 2015 to 2016, Physical Communication (Elsevier) from 2010 to 2017, and IEEE Transactions on Communications from 2013 to 2018. He is an Editor of IEEE Transactions on Communications. He is on the Executive Editorial Committee of IEEE Transactions on Wireless Communications.View more
