TY - JOUR
T1 - An Outlook on the Interplay of Artificial Intelligence and Software-Defined Metasurfaces
T2 - An Overview of Opportunities and Limitations
AU - Mohjazi, Lina
AU - Zoha, Ahmed
AU - Bariah, Lina
AU - Muhaidat, Sami
AU - Sofotasios, Paschalis C.
AU - Imran, Muhammad Ali
AU - Dobre, Octavia A.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - Recent advances in programmable metasurfaces, known as software-defined metasurfaces (SDMs), offer a paradigm shift from uncontrollable to fully tunable and customizable wireless propagation environments, enabling a plethora of new applications and technological trends. To explore this cutting-edge technological concept, we review the architecture and electromagnetic (EM) wave manipulation functionalities of SDMs, detail recent advances toward realizing these programmable functionalities in wireless communication applications, elaborate on how artificial intelligence (AI) can address various constraints introduced by the real-time deployment of SDMs, review state-of-the-art research on the integration of AI with SDMs, and offer a look ahead toward unexplored possibilities of AI mechanisms in the context of SDMs.
AB - Recent advances in programmable metasurfaces, known as software-defined metasurfaces (SDMs), offer a paradigm shift from uncontrollable to fully tunable and customizable wireless propagation environments, enabling a plethora of new applications and technological trends. To explore this cutting-edge technological concept, we review the architecture and electromagnetic (EM) wave manipulation functionalities of SDMs, detail recent advances toward realizing these programmable functionalities in wireless communication applications, elaborate on how artificial intelligence (AI) can address various constraints introduced by the real-time deployment of SDMs, review state-of-the-art research on the integration of AI with SDMs, and offer a look ahead toward unexplored possibilities of AI mechanisms in the context of SDMs.
UR - http://www.scopus.com/inward/record.url?scp=85092531272&partnerID=8YFLogxK
U2 - 10.1109/MVT.2020.3023550
DO - 10.1109/MVT.2020.3023550
M3 - Review article
AN - SCOPUS:85092531272
SN - 1556-6072
VL - 15
SP - 62
EP - 73
JO - IEEE Vehicular Technology Magazine
JF - IEEE Vehicular Technology Magazine
IS - 4
M1 - 9218915
ER -