TY - GEN
T1 - A Hybrid Intelligent Reflecting Surface with Graphene-based Control Elements for THz Communications
AU - Singh, Arjun
AU - Andrello, Michael
AU - Einarsson, Erik
AU - Thawdarl, Ngwe
AU - Jornet, Josep M.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Terahertz (THz)-band (0.1-10 THz) communication is envisioned as a key wireless technology to fulfill the demand for increasing data rates and to accommodate denser networks. The THz-band, however, suffers from very high propagation losses further aggravated by the presence of obstacles in common scenarios, that behave as opaque barriers at THz frequencies. Engineering non-line-of-sight (NLoS) communication links with-smart reflectarrays is one possible method of overcoming the complex THz communication model. However, existing reflectarray designs at lower frequencies cannot be simply repurposed due to the operating failure of the traditional control elements at THz frequencies. In this direction, the use of 2D nanomaterials, such as graphene, to design tuning elements and integrate these into THz reflectarrays is being explored. This paper presents a novel graphene-based tuning element for continuous phase control of the reflecting element, in situ. The fundamental radiating element is designed to have high reflection efficiency and tunability by leveraging the properties of metals and graphene, respectively. First, the working principle and design of the proposed tuning element, comprised of a graphene-based plasmonic waveguide, is described and explained. Second, the trade-offs in the design of the hybrid tunable reflecting element, resulting from the integration of the tuning element with a metallic patch, are exhaustively studied. After discussing the integration of multiple reflecting elements in a reflectarray, the ability to perform complete continuous dynamic beamforming is presented.
AB - Terahertz (THz)-band (0.1-10 THz) communication is envisioned as a key wireless technology to fulfill the demand for increasing data rates and to accommodate denser networks. The THz-band, however, suffers from very high propagation losses further aggravated by the presence of obstacles in common scenarios, that behave as opaque barriers at THz frequencies. Engineering non-line-of-sight (NLoS) communication links with-smart reflectarrays is one possible method of overcoming the complex THz communication model. However, existing reflectarray designs at lower frequencies cannot be simply repurposed due to the operating failure of the traditional control elements at THz frequencies. In this direction, the use of 2D nanomaterials, such as graphene, to design tuning elements and integrate these into THz reflectarrays is being explored. This paper presents a novel graphene-based tuning element for continuous phase control of the reflecting element, in situ. The fundamental radiating element is designed to have high reflection efficiency and tunability by leveraging the properties of metals and graphene, respectively. First, the working principle and design of the proposed tuning element, comprised of a graphene-based plasmonic waveguide, is described and explained. Second, the trade-offs in the design of the hybrid tunable reflecting element, resulting from the integration of the tuning element with a metallic patch, are exhaustively studied. After discussing the integration of multiple reflecting elements in a reflectarray, the ability to perform complete continuous dynamic beamforming is presented.
KW - Beamforming
KW - Graphene plasmonics
KW - Reflectarrays
KW - Smart Reflecting Surfaces
KW - Terahertz communications
UR - https://www.scopus.com/pages/publications/85090393985
U2 - 10.1109/SPAWC48557.2020.9154305
DO - 10.1109/SPAWC48557.2020.9154305
M3 - Conference contribution
AN - SCOPUS:85090393985
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020
Y2 - 26 May 2020 through 29 May 2020
ER -