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Reconfigurable Refractive Surface-Enabled Multi-User Holographic MIMO Communications | IEEE Journals & Magazine | IEEE Xplore

Reconfigurable Refractive Surface-Enabled Multi-User Holographic MIMO Communications


Abstract:

Holographic massive-input-massive-output (HMI MO) is expected to play an important role in 6G, which integrates numerous antennas or reconfigurable elements into a compac...Show More

Abstract:

Holographic massive-input-massive-output (HMI MO) is expected to play an important role in 6G, which integrates numerous antennas or reconfigurable elements into a compact surface to form a continuous aperture. However, it is not energy efficient to implement the HMIMO with conventional phased arrays, since hundreds of energy-intensive phase shifters are required, leading to inevitably huge power consumption and degraded energy efficiency. Compared with the phased array, metasurface-based antennas, also referred to as reconfigurable refractive surface (RRS), can significantly improve the energy efficiency, since they are free of those energy-hungry phase shifters. In this paper, we consider an RRS-enabled multi-user HMIMO system, where the energy efficiency of the system is maximized by optimizing the size of the RRS. However, different from the traditional metasurfaces that locate far from the base station (BS) and work as relays, the RRS is much closer to the BS such that the BS antennas cannot be assumed to locate in the far field of the RRS. Therefore, it is challenging to maximize the energy efficiency of the RRS-aided system. To cope with this issue, the capacity and power consumption of this system are analyzed first, based on which the energy efficiency is maximized by optimizing the number of RRS elements. The maximized energy efficiency is then compared against that obtained by the phased array. Through theoretical analysis and simulations, we verify that the RRS is a more energy efficient solution to HMIMO than the phased array when the power consumption per RRS element is lower than a derived closed-form threshold.
Published in: IEEE Transactions on Wireless Communications ( Volume: 23, Issue: 5, May 2024)
Page(s): 4845 - 4860
Date of Publication: 17 October 2023

ISSN Information:

Funding Agency:

Author image of Shuhao Zeng
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China
Shuhao Zeng (Member, IEEE) received the B.S. degree in communications engineering from Peking University in 2018 and the Ph.D. degree from the School of Electronics, Peking University, in 2023. His current research interests include intelligent surfaces, ultra-massive MIMO, and unmanned aerial vehicle networks.
Shuhao Zeng (Member, IEEE) received the B.S. degree in communications engineering from Peking University in 2018 and the Ph.D. degree from the School of Electronics, Peking University, in 2023. His current research interests include intelligent surfaces, ultra-massive MIMO, and unmanned aerial vehicle networks.View more
Author image of Hongliang Zhang
School of Electronics, Peking University, Beijing, China
Hongliang Zhang (Member, IEEE) received the B.S. and Ph.D. degrees from the School of Electrical Engineering and Computer Science, Peking University, in 2014 and 2019, respectively. He is currently an Assistant Professor with the School of Electronics, Peking University. His current research interests include reconfigurable intelligent surfaces, aerial access networks, the Internet of Things, optimization theory, and game...Show More
Hongliang Zhang (Member, IEEE) received the B.S. and Ph.D. degrees from the School of Electrical Engineering and Computer Science, Peking University, in 2014 and 2019, respectively. He is currently an Assistant Professor with the School of Electronics, Peking University. His current research interests include reconfigurable intelligent surfaces, aerial access networks, the Internet of Things, optimization theory, and game...View more
Author image of Boya Di
School of Electronics, Peking University, Beijing, China
Boya Di (Member, IEEE) received the B.S. degree in electronic engineering from Peking University, China, in 2014, and the Ph.D. degree from the Department of Electronics, Peking University, in 2019. She was a Post-Doctoral Researcher with Imperial College London. She is currently an Assistant Professor with Peking University. Her current research interests include reconfigurable intelligent surfaces enabled communications...Show More
Boya Di (Member, IEEE) received the B.S. degree in electronic engineering from Peking University, China, in 2014, and the Ph.D. degree from the Department of Electronics, Peking University, in 2019. She was a Post-Doctoral Researcher with Imperial College London. She is currently an Assistant Professor with Peking University. Her current research interests include reconfigurable intelligent surfaces enabled communications...View more
Author image of Lingyang Song
School of Electronics, Peking University, Beijing, China
Lingyang Song (Fellow, IEEE) received the Ph.D. degree from the University of York, U.K., in 2007. He was a Research Fellow with the University of Oslo, Norway, until rejoining Philips Research, U.K., in March 2008. In May 2009, he joined the Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, where he is currently a Boya Distinguished Professor. His current research inter...Show More
Lingyang Song (Fellow, IEEE) received the Ph.D. degree from the University of York, U.K., in 2007. He was a Research Fellow with the University of Oslo, Norway, until rejoining Philips Research, U.K., in March 2008. In May 2009, he joined the Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, where he is currently a Boya Distinguished Professor. His current research inter...View more

I. Introduction

The future sixth generation (6G) networks should meet increasingly demanding system capacity and energy efficiency requirements [1]. To support high-speed data transmissions, a key conceptual enabler is holographic massive-input-massive-output (HMIMO), where numerous tiny antennas or reconfigurable elements are integrated into a compact two-dimensional surface [2], [3], [4]. Due to its massive elements and large radiation aperture, the HMIMO can provide significant beamforming gain [5], and thus is capable of supporting the high-speed communications. However, for the traditional phased-array enabled HMIMO, the corresponding energy efficiency is limited. This is because the phased array requires hundreds of energy-hungry high-resolution phase shifters [6], leading to inevitably huge power consumption and degraded energy efficiency.

Author image of Shuhao Zeng
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China
Shuhao Zeng (Member, IEEE) received the B.S. degree in communications engineering from Peking University in 2018 and the Ph.D. degree from the School of Electronics, Peking University, in 2023. His current research interests include intelligent surfaces, ultra-massive MIMO, and unmanned aerial vehicle networks.
Shuhao Zeng (Member, IEEE) received the B.S. degree in communications engineering from Peking University in 2018 and the Ph.D. degree from the School of Electronics, Peking University, in 2023. His current research interests include intelligent surfaces, ultra-massive MIMO, and unmanned aerial vehicle networks.View more
Author image of Hongliang Zhang
School of Electronics, Peking University, Beijing, China
Hongliang Zhang (Member, IEEE) received the B.S. and Ph.D. degrees from the School of Electrical Engineering and Computer Science, Peking University, in 2014 and 2019, respectively. He is currently an Assistant Professor with the School of Electronics, Peking University. His current research interests include reconfigurable intelligent surfaces, aerial access networks, the Internet of Things, optimization theory, and game theory. He received the Best Doctoral Thesis Award from the Chinese Institute of Electronics in 2019. He was a recipient of the 2021 IEEE Comsoc Heinrich Hertz Award for Best Communications Letters and the 2021 IEEE ComSoc Asia–Pacific Outstanding Paper Award. He is the Winner of the Outstanding Leadership Award as the Publicity Chair of IEEE EUC in 2022. He has served as a TPC member and the workshop co-chair for many IEEE conferences. He is currently an Editor of IEEE Transactions on Vehicular Technology, IEEE Communications Letters, IET Communications, and Frontiers in Signal Processing. He has also served as a Guest Editor for several journals, such as IEEE Internet of Things Journal and Journal of Communications and Networks. He is an Exemplary Reviewer for IEEE Transactions on Communications in 2020.
Hongliang Zhang (Member, IEEE) received the B.S. and Ph.D. degrees from the School of Electrical Engineering and Computer Science, Peking University, in 2014 and 2019, respectively. He is currently an Assistant Professor with the School of Electronics, Peking University. His current research interests include reconfigurable intelligent surfaces, aerial access networks, the Internet of Things, optimization theory, and game theory. He received the Best Doctoral Thesis Award from the Chinese Institute of Electronics in 2019. He was a recipient of the 2021 IEEE Comsoc Heinrich Hertz Award for Best Communications Letters and the 2021 IEEE ComSoc Asia–Pacific Outstanding Paper Award. He is the Winner of the Outstanding Leadership Award as the Publicity Chair of IEEE EUC in 2022. He has served as a TPC member and the workshop co-chair for many IEEE conferences. He is currently an Editor of IEEE Transactions on Vehicular Technology, IEEE Communications Letters, IET Communications, and Frontiers in Signal Processing. He has also served as a Guest Editor for several journals, such as IEEE Internet of Things Journal and Journal of Communications and Networks. He is an Exemplary Reviewer for IEEE Transactions on Communications in 2020.View more
Author image of Boya Di
School of Electronics, Peking University, Beijing, China
Boya Di (Member, IEEE) received the B.S. degree in electronic engineering from Peking University, China, in 2014, and the Ph.D. degree from the Department of Electronics, Peking University, in 2019. She was a Post-Doctoral Researcher with Imperial College London. She is currently an Assistant Professor with Peking University. Her current research interests include reconfigurable intelligent surfaces enabled communications and sensing, edge computing, and aerial access networks. She was a recipient of the 2020 IEEE N2WOMEN Top-10 Rising Star in Communications and Networking, the 2021 IEEE ComSoc Asia–Pacific Outstanding Paper Award, and the 2022 IEEE ComSoc Asia–Pacific Outstanding Young Researcher Award. She serves as an Associate Editor for IEEE Transactions on Vehicular Technology and an Editor for IEEE Communications and Surveys and IEEE Transactions on Machine Learning for Communications and Networking.
Boya Di (Member, IEEE) received the B.S. degree in electronic engineering from Peking University, China, in 2014, and the Ph.D. degree from the Department of Electronics, Peking University, in 2019. She was a Post-Doctoral Researcher with Imperial College London. She is currently an Assistant Professor with Peking University. Her current research interests include reconfigurable intelligent surfaces enabled communications and sensing, edge computing, and aerial access networks. She was a recipient of the 2020 IEEE N2WOMEN Top-10 Rising Star in Communications and Networking, the 2021 IEEE ComSoc Asia–Pacific Outstanding Paper Award, and the 2022 IEEE ComSoc Asia–Pacific Outstanding Young Researcher Award. She serves as an Associate Editor for IEEE Transactions on Vehicular Technology and an Editor for IEEE Communications and Surveys and IEEE Transactions on Machine Learning for Communications and Networking.View more
Author image of Lingyang Song
School of Electronics, Peking University, Beijing, China
Lingyang Song (Fellow, IEEE) received the Ph.D. degree from the University of York, U.K., in 2007. He was a Research Fellow with the University of Oslo, Norway, until rejoining Philips Research, U.K., in March 2008. In May 2009, he joined the Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, where he is currently a Boya Distinguished Professor. His current research interests include wireless communication and networks, signal processing, and machine learning. He was a recipient of the IEEE Leonard G. Abraham Prize in 2016 and the IEEE Asia–Pacific (AP) Young Researcher Award in 2012. He received the K. M. Stott Prize from the University of York for excellent research. He has been an IEEE Distinguished Lecturer since 2015.
Lingyang Song (Fellow, IEEE) received the Ph.D. degree from the University of York, U.K., in 2007. He was a Research Fellow with the University of Oslo, Norway, until rejoining Philips Research, U.K., in March 2008. In May 2009, he joined the Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, where he is currently a Boya Distinguished Professor. His current research interests include wireless communication and networks, signal processing, and machine learning. He was a recipient of the IEEE Leonard G. Abraham Prize in 2016 and the IEEE Asia–Pacific (AP) Young Researcher Award in 2012. He received the K. M. Stott Prize from the University of York for excellent research. He has been an IEEE Distinguished Lecturer since 2015.View more
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