Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces | IEEE Journals & Magazine | IEEE Xplore

Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces


Abstract:

In this paper, we consider the potential of data transmission in a system with a massive number of radiating and sensing elements, thought of as a contiguous surface of e...Show More

Abstract:

In this paper, we consider the potential of data transmission in a system with a massive number of radiating and sensing elements, thought of as a contiguous surface of electromagnetically active material. We refer to this as a large intelligent surface (LIS), which is a newly proposed concept and conceptually goes beyond contemporary massive MIMO technology. First, we consider capacities of single-antenna autonomous terminals communicating to the LIS where the entire surface is used as a receiving antenna array in a perfect line-of-sight propagation environment. Under the condition that the surface area is sufficiently large, the received signal after a matched-filtering operation can be closely approximated by a sinc-function-like intersymbol interference channel. Second, we analyze a normalized capacity measured per unit surface, for a fixed transmit power per volume unit with different terminal deployments. As terminal density increases, the limit of the normalized capacity [nats/s/Hz/volume-unit] achieved when wavelength λ approaches zero is equal to half of the transmit power per volume unit divided by the noise spatial power spectral density. Third, we show that the number of independent signal dimensions that can be harvested per meter deployed surface is 2/λ for one-dimensional terminal deployment, and π/λ2 per square meter for two- and three-dimensional terminal deployments. Finally, we consider implementations of the LIS in the form of a grid of conventional antenna elements, and show that the sampling lattice that minimizes the surface area and simultaneously obtains one independent signal dimension for every spent antenna is the hexagonal lattice.
Published in: IEEE Transactions on Signal Processing ( Volume: 66, Issue: 10, 15 May 2018)
Page(s): 2746 - 2758
Date of Publication: 19 March 2018

ISSN Information:

Author image of Sha Hu
Department of Electrical and Information Technology, Lund University, Lund, Sweden
Sha Hu (S’16–M’18) was born in Hubei, China, in 1985. He received the B.S. and M.S. degrees from Wuhan University, Wuhan, China, in 2006 and 2008, respectively, both in pure mathematics, and the Ph.D. degree in electrical engineering from Lund University, Lund, Sweden, in 2018.
Since 2015, he has been with the Department of Electrical and Information Technology, Lund University, Lund, Sweden. From 2008 to 2015, he was a...Show More
Sha Hu (S’16–M’18) was born in Hubei, China, in 1985. He received the B.S. and M.S. degrees from Wuhan University, Wuhan, China, in 2006 and 2008, respectively, both in pure mathematics, and the Ph.D. degree in electrical engineering from Lund University, Lund, Sweden, in 2018.
Since 2015, he has been with the Department of Electrical and Information Technology, Lund University, Lund, Sweden. From 2008 to 2015, he was a...View more
Author image of Fredrik Rusek
Department of Electrical and Information Technology, Lund University, Lund, Sweden
Fredrik Rusek (S’05–M’07) was born in Lund, Sweden, in 1978. He received the M.S. and Ph.D. degrees in electrical engineering from Lund University, Lund, Sweden, in 2003 and 2007, respectively.
Since 2012, he has been an Associate Professor with the Department of Electrical and Information Technology, Lund Institute of Technology. His research interests include modulation theory, equalization, wireless communications, a...Show More
Fredrik Rusek (S’05–M’07) was born in Lund, Sweden, in 1978. He received the M.S. and Ph.D. degrees in electrical engineering from Lund University, Lund, Sweden, in 2003 and 2007, respectively.
Since 2012, he has been an Associate Professor with the Department of Electrical and Information Technology, Lund Institute of Technology. His research interests include modulation theory, equalization, wireless communications, a...View more
Author image of Ove Edfors
Department of Electrical and Information Technology, Lund University, Lund, Sweden
Ove Edfors (M’09–SM’17) is currently a Professor of radio systems with the Department of Electrical and Information Technology, Lund University, Lund, Sweden. His current research interests include statistical signal processing and low-complexity algorithms with applications in wireless communications. In the context of massive MIMO, his main research focus is on how realistic propagation characteristics influence sys...Show More
Ove Edfors (M’09–SM’17) is currently a Professor of radio systems with the Department of Electrical and Information Technology, Lund University, Lund, Sweden. His current research interests include statistical signal processing and low-complexity algorithms with applications in wireless communications. In the context of massive MIMO, his main research focus is on how realistic propagation characteristics influence sys...View more

I. Introduction

A large Intelligent Surface (LIS) is an entirely new concept in wireless communication [1], [2], where we envision a future where man-made structures become more and more electronically active, with integrated electronics and wireless communication making the entire environment intelligent. The LIS concept can be seen as an extension of traditional massive multi-input multi-output (MIMO) [3]– [7], scaled up beyond the traditional large antenna-array concept. As an extension of traditional massive MIMO systems, LIS retains all the advantages such as allowing for an unprecedented focusing of energy in three-dimensional space which enables wireless charging, remote sensing with extreme precision and unprecedented data-transmissions. This makes it possible to fulfill the most grand visions for the next generation of communication systems and the concept of Internet of Things (IoT) [8], [9], where billions of devices are expected to be connected to the Internet. In Fig. 1, we show an example of three terminals communicating to a LIS in indoor and outdoor scenarios, respectively.

Author image of Sha Hu
Department of Electrical and Information Technology, Lund University, Lund, Sweden
Sha Hu (S’16–M’18) was born in Hubei, China, in 1985. He received the B.S. and M.S. degrees from Wuhan University, Wuhan, China, in 2006 and 2008, respectively, both in pure mathematics, and the Ph.D. degree in electrical engineering from Lund University, Lund, Sweden, in 2018.
Since 2015, he has been with the Department of Electrical and Information Technology, Lund University, Lund, Sweden. From 2008 to 2015, he was a Senior Algorithm Engineer with Huawei Technologies, Shanghai, China, for baseband algorithm R&D including 2G up to 5G, and holds 18 patents in these areas. His research interests include signal processing, MIMO detection, equalization, channel shortening, and precoder design.
Sha Hu (S’16–M’18) was born in Hubei, China, in 1985. He received the B.S. and M.S. degrees from Wuhan University, Wuhan, China, in 2006 and 2008, respectively, both in pure mathematics, and the Ph.D. degree in electrical engineering from Lund University, Lund, Sweden, in 2018.
Since 2015, he has been with the Department of Electrical and Information Technology, Lund University, Lund, Sweden. From 2008 to 2015, he was a Senior Algorithm Engineer with Huawei Technologies, Shanghai, China, for baseband algorithm R&D including 2G up to 5G, and holds 18 patents in these areas. His research interests include signal processing, MIMO detection, equalization, channel shortening, and precoder design.View more
Author image of Fredrik Rusek
Department of Electrical and Information Technology, Lund University, Lund, Sweden
Fredrik Rusek (S’05–M’07) was born in Lund, Sweden, in 1978. He received the M.S. and Ph.D. degrees in electrical engineering from Lund University, Lund, Sweden, in 2003 and 2007, respectively.
Since 2012, he has been an Associate Professor with the Department of Electrical and Information Technology, Lund Institute of Technology. His research interests include modulation theory, equalization, wireless communications, and applied information theory.
Fredrik Rusek (S’05–M’07) was born in Lund, Sweden, in 1978. He received the M.S. and Ph.D. degrees in electrical engineering from Lund University, Lund, Sweden, in 2003 and 2007, respectively.
Since 2012, he has been an Associate Professor with the Department of Electrical and Information Technology, Lund Institute of Technology. His research interests include modulation theory, equalization, wireless communications, and applied information theory.View more
Author image of Ove Edfors
Department of Electrical and Information Technology, Lund University, Lund, Sweden
Ove Edfors (M’09–SM’17) is currently a Professor of radio systems with the Department of Electrical and Information Technology, Lund University, Lund, Sweden. His current research interests include statistical signal processing and low-complexity algorithms with applications in wireless communications. In the context of massive MIMO, his main research focus is on how realistic propagation characteristics influence system performance and baseband processing complexity.
Ove Edfors (M’09–SM’17) is currently a Professor of radio systems with the Department of Electrical and Information Technology, Lund University, Lund, Sweden. His current research interests include statistical signal processing and low-complexity algorithms with applications in wireless communications. In the context of massive MIMO, his main research focus is on how realistic propagation characteristics influence system performance and baseband processing complexity.View more
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