Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems

Hanqing Wang, Nir Shlezinger, Shi Jin, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Massive multiple-input multiple-output (MIMO) is a promising technique to enable orders of magnitude improvement in spectral and energy efficiency by utilizing a large number of antennas. Despite its theoretical gains, the implementation of large-scale antenna arrays faces many practical challenges in hardware cost, power consumption, and physical size. In this work, we study downlink massive MIMO systems in which the base stations (BSs) are equipped with dynamic metasurface antennas (DMAs). DMAs can realize low-cost, power-efficient, planar, and compact antenna arrays. We first formulate a mathematical model for DMA-based downlink massive MIMO systems. Then, we characterize the achievable sum-rate for the resulting systems and design an efficient alternating algorithm to dynamically configure DMA weights to maximize the achievable sum-rate. Our numerical results demonstrate that, in addition to their simplicity and low cost, properly configured DMAs can achieve downlink sum-rate performance which is comparable with the fundamental limits of multi-user MIMO systems.

Original languageEnglish (US)
Title of host publication2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538665282
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019 - Cannes, France
Duration: Jul 2 2019Jul 5 2019

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2019-July

Conference

Conference20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
CountryFrance
CityCannes
Period7/2/197/5/19

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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