Advanced

Beyond Massive-MIMO_The Potential of Data-Transmission with Large Intelligent Surfaces

Hu, Sha LU ; Rusek, Fredrik LU and Edfors, Ove LU (2017) In IEEE Transactions on Signal Processing
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). The \lq\lq{}LIS\rq\rq{} is a newly proposed concept, which conceptually goes beyond contemporary massive MIMO technology, that arises from our vision of a future where man-made structures are electronically active with integrated electronics and wireless communication making the entire environment \lq\lq{}intelligent\rq\rq{}.

We firstly consider capacities of single-antenna autonomous terminals communicating to the LIS where the entire surface is used as a receiving antenna... (More)
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). The \lq\lq{}LIS\rq\rq{} is a newly proposed concept, which conceptually goes beyond contemporary massive MIMO technology, that arises from our vision of a future where man-made structures are electronically active with integrated electronics and wireless communication making the entire environment \lq\lq{}intelligent\rq\rq{}.

We firstly consider capacities of single-antenna autonomous terminals communicating to the LIS where the entire surface is used as a receiving antenna array. Under the condition that the surface-area is sufficiently large, the received signal after a matched-filtering (MF) operation can be closely approximated by a sinc-function-like intersymbol interference (ISI) channel. Secondly, we analyze the capacity per square meter (m$^2$) deployed surface, $\hat{\mathcal{C}}$, that is achievable for a fixed transmit power per volume-unit, $\hat{P}$; the volume-unit can be m, m$^2$, and m$^3$ depending on the scenario under investigation. As terminal-density increases, the limit of $\hat{\mathcal{C}}$ achieved when the wavelength $\lambda$ approaches zero is $\hat{P}/(2N_0)$ [nats/s/Hz/volume-unit], where $N_0$ is the spatial power spectral density (PSD) of the additive white Gaussian noise (AWGN). Moreover, we also show that the number of independent signal dimensions per m deployed surface is $2/\lambda$ for one-dimensional terminal-deployment, and $\pi/\lambda^2$ per m$^2$ for two and three dimensional terminal-deployments. Thirdly, 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 of the LIS and simultaneously obtains one signal space dimension for every spent antenna is the hexagonal lattice. Lastly, we extensively discuss the design of the state-of-the-art low-complexity channel shortening (CS) demodulator for data-transmission with the LIS. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
submitted
subject
in
IEEE Transactions on Signal Processing
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
ISSN
1053-587X
language
English
LU publication?
yes
id
552776ea-89af-4ec4-953d-a0d9716117ad
date added to LUP
2017-08-25 16:42:11
date last changed
2017-08-31 11:10:23
@article{552776ea-89af-4ec4-953d-a0d9716117ad,
  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). The \lq\lq{}LIS\rq\rq{} is a newly proposed concept, which conceptually goes beyond contemporary massive MIMO technology, that arises from our vision of a future where man-made structures are electronically active with integrated electronics and wireless communication making the entire environment \lq\lq{}intelligent\rq\rq{}. <br/><br/>We firstly consider capacities of single-antenna autonomous terminals communicating to the LIS where the entire surface is used as a receiving antenna array. Under the condition that the surface-area is sufficiently large, the received signal after a matched-filtering (MF) operation can be closely approximated by a sinc-function-like intersymbol interference (ISI) channel. Secondly, we analyze the capacity per square meter (m$^2$) deployed surface, $\hat{\mathcal{C}}$, that is achievable for a fixed transmit power per volume-unit, $\hat{P}$; the volume-unit can be m, m$^2$, and m$^3$ depending on the scenario under investigation. As terminal-density increases, the limit of $\hat{\mathcal{C}}$ achieved when the wavelength $\lambda$ approaches zero is $\hat{P}/(2N_0)$ [nats/s/Hz/volume-unit], where $N_0$ is the spatial power spectral density (PSD) of the additive white Gaussian noise (AWGN). Moreover, we also show that the number of independent signal dimensions per m deployed surface is $2/\lambda$ for one-dimensional terminal-deployment, and $\pi/\lambda^2$ per m$^2$ for two and three dimensional terminal-deployments. Thirdly, 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 of the LIS and simultaneously obtains one signal space dimension for every spent antenna is the hexagonal lattice. Lastly, we extensively discuss the design of the state-of-the-art low-complexity channel shortening (CS) demodulator for data-transmission with the LIS.},
  author       = {Hu, Sha and Rusek, Fredrik and Edfors, Ove},
  issn         = {1053-587X},
  language     = {eng},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Signal Processing},
  title        = {Beyond Massive-MIMO_The Potential of Data-Transmission with Large Intelligent Surfaces},
  year         = {2017},
}