TY - JOUR
T1 - Aerial Intelligent Reflecting Surfaces in MIMO-NOMA Networks
T2 - Fundamentals, Potential Achievements, and Challenges
AU - Lima, Brena Kelly S.
AU - De Sena, Arthur Sousa
AU - Dinis, Rui
AU - Da Costa, Daniel Benevides
AU - Beko, Marko
AU - Oliveira, Rodolfo
AU - Debbah, Merouane
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT#
PY - 2022/6/13
Y1 - 2022/6/13
N2 - Non-orthogonal multiple access (NOMA) technique and unmanned aerial vehicles (UAVs) have been recognized as promising technologies for enabling the stringent requirements of the different network infrastructures expected for the next generation of wireless networks. In parallel, intelligent reconfigurable surfaces (IRSs) have been widely pointed out as an auspicious solution to further improve spectral efficiency, coverage range, and connectivity. By integrating IRS with UAV and NOMA schemes with multiple-input multiple-output (MIMO) it is possible to smartly improve the overall network performance. In order to explore some of these potentials, this paper provides a comprehensive discussion about the interplay of aerial IRS in MIMO-NOMA (AIRS-NOMA) networks, as well its architecture, functionality principles, and performance gains. In particular, attractive gains related to the data rate maximization, user fairness, energy efficiency, and coverage range are highlighted. Simulation results are provided to support our insightful discussions, in which it is revealed that the performance gains of AIRSNOMA networks are superior when compared to terrestrial deployment. In addition, to guide new studies perspectives, it is addressed some issues and research opportunities associated with this potential integration.
AB - Non-orthogonal multiple access (NOMA) technique and unmanned aerial vehicles (UAVs) have been recognized as promising technologies for enabling the stringent requirements of the different network infrastructures expected for the next generation of wireless networks. In parallel, intelligent reconfigurable surfaces (IRSs) have been widely pointed out as an auspicious solution to further improve spectral efficiency, coverage range, and connectivity. By integrating IRS with UAV and NOMA schemes with multiple-input multiple-output (MIMO) it is possible to smartly improve the overall network performance. In order to explore some of these potentials, this paper provides a comprehensive discussion about the interplay of aerial IRS in MIMO-NOMA (AIRS-NOMA) networks, as well its architecture, functionality principles, and performance gains. In particular, attractive gains related to the data rate maximization, user fairness, energy efficiency, and coverage range are highlighted. Simulation results are provided to support our insightful discussions, in which it is revealed that the performance gains of AIRSNOMA networks are superior when compared to terrestrial deployment. In addition, to guide new studies perspectives, it is addressed some issues and research opportunities associated with this potential integration.
KW - Intelligent reflecting surface (IRS)
KW - multiple-input multiple-output (MIMO)
KW - nonorthogonal multiple access (NOMA)
KW - unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85132734528&partnerID=8YFLogxK
U2 - 10.1109/OJCOMS.2022.3182223
DO - 10.1109/OJCOMS.2022.3182223
M3 - Article
AN - SCOPUS:85132734528
SN - 2644-125X
VL - 3
SP - 1007
EP - 1024
JO - IEEE Open Journal of the Communications Society
JF - IEEE Open Journal of the Communications Society
ER -
