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Real-Time Implementation Aspects of Large Intelligent Surfaces

Tataria, Harsh LU ; Tufvesson, Fredrik LU and Edfors, Ove LU (2020) IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020 p.9170-9174
Abstract
With the potential to provide a clean break from massive multiple-input multiple-output, large intelligent surfaces (LISs) have recently received a thrust of research interest. Various proposals have been made in the literature to define the exact functionality of LISs, ranging from fully active to largely passive solutions. Nevertheless, almost all studies in the literature investigate the fundamental spectral efficiency performance of these architectures. In stark contrast, this paper investigates the implementation aspects of LISs. Using the fully active LIS as the basis of our exposition, we first present a rigorous discussion on the relative merits and disadvantages of possible implementation architectures from a radio-frequency... (More)
With the potential to provide a clean break from massive multiple-input multiple-output, large intelligent surfaces (LISs) have recently received a thrust of research interest. Various proposals have been made in the literature to define the exact functionality of LISs, ranging from fully active to largely passive solutions. Nevertheless, almost all studies in the literature investigate the fundamental spectral efficiency performance of these architectures. In stark contrast, this paper investigates the implementation aspects of LISs. Using the fully active LIS as the basis of our exposition, we first present a rigorous discussion on the relative merits and disadvantages of possible implementation architectures from a radio-frequency circuits and real-time processing viewpoints. We then show that a distributed architecture based on a common module interfacing a smaller number of antennas can be scalable. To avoid severe losses with analog signal distribution, multiple common modules can be interconnected via a digital nearest-neighbor network. Furthermore, we show that with such a design, the maximum backplane throughput scales with the number of served user terminals, instead of the number of antennas across the surface. The discussions in the paper can serve as a guideline toward the real-time design and development of LISs. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Backplane complexity, common modules, distributed architectures, LIS, real-time implementation
host publication
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
conference location
Barcelona, Spain
conference dates
2020-05-04 - 2020-05-08
external identifiers
  • scopus:85089242260
ISBN
978-1-5090-6631-5
DOI
10.1109/ICASSP40776.2020.9053897
project
Massive Mimo Technology and Applications
language
English
LU publication?
yes
additional info
Invited Paper in the Proceedings of IEEE ICASSP 2020, Barcelona.
id
2f04a760-3fe7-44d2-8fc3-0924afbae402
date added to LUP
2020-03-03 13:09:13
date last changed
2020-08-26 05:11:51
@inproceedings{2f04a760-3fe7-44d2-8fc3-0924afbae402,
  abstract     = {With the potential to provide a clean break from massive multiple-input multiple-output, large intelligent surfaces (LISs) have recently received a thrust of research interest. Various proposals have been made in the literature to define the exact functionality of LISs, ranging from fully active to largely passive solutions. Nevertheless, almost all studies in the literature investigate the fundamental spectral efficiency performance of these architectures. In stark contrast, this paper investigates the implementation aspects of LISs. Using the fully active LIS as the basis of our exposition, we first present a rigorous discussion on the relative merits and disadvantages of possible implementation architectures from a radio-frequency circuits and real-time processing viewpoints. We then show that a distributed architecture based on a common module interfacing a smaller number of antennas can be scalable. To avoid severe losses with analog signal distribution, multiple common modules can be interconnected via a digital nearest-neighbor network. Furthermore, we show that with such a design, the maximum backplane throughput scales with the number of served user terminals, instead of the number of antennas across the surface. The discussions in the paper can serve as a guideline toward the real-time design and development of LISs.},
  author       = {Tataria, Harsh and Tufvesson, Fredrik and Edfors, Ove},
  booktitle    = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020},
  isbn         = {978-1-5090-6631-5},
  language     = {eng},
  pages        = {9170--9174},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  title        = {Real-Time Implementation Aspects of Large Intelligent Surfaces},
  url          = {https://lup.lub.lu.se/search/ws/files/76825628/Implementation_Aspects_of_Large_Intelligent_Surfaces_1_.pdf},
  doi          = {10.1109/ICASSP40776.2020.9053897},
  year         = {2020},
}