TY - GEN
T1 - Rate-Splitting Multiple Access Networks Assisted by Aerial Intelligent Reflecting Surfaces
AU - Lima, Brena Kelly S.
AU - Dinis, Rui
AU - da Costa, Daniel Benevides
AU - Beko, Marko
AU - Oliveira, Rodolfo
AU - Vigelis, Rui
AU - Debbah, Merouane
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04111%2F2020/PT#
info:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL%2FEEI-EEE%2F0776%2F2021/PT#
Funding Information:
Marko Beko is also with COPELABS, Lusofona University, Lisbon, Portugal.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper investigates rate-splitting multiple access (RSMA) networks assisted by aerial intelligent reflecting surfaces (AIRS) and assuming a downlink multiple-input single-output (MISO) scenario (AIRS-RSMA) with imperfect successive interference cancelation (SIC). An optimization problem is formulated in order to maximize the total achievable rate by optimizing the transmit beamforming and common achievable rate of the users. By using approximation and transformation techniques, we convert the optimization problem into a semi-definite program (SDP) problem. To solve this problem, an algorithm based on alternating optimization (AO) is proposed to iteratively solve the transmit beamforming problem. Simulation results are provided to demonstrate the efficiency of the proposed method, in which it is revealed that the performance gains in terms of sum-rate of AIRS-RSMA networks with robust beamforming are significantly greater than the non-optimized AIRS-RSMA and conventional non-orthogonal multiple access (NOMA) schemes.
AB - This paper investigates rate-splitting multiple access (RSMA) networks assisted by aerial intelligent reflecting surfaces (AIRS) and assuming a downlink multiple-input single-output (MISO) scenario (AIRS-RSMA) with imperfect successive interference cancelation (SIC). An optimization problem is formulated in order to maximize the total achievable rate by optimizing the transmit beamforming and common achievable rate of the users. By using approximation and transformation techniques, we convert the optimization problem into a semi-definite program (SDP) problem. To solve this problem, an algorithm based on alternating optimization (AO) is proposed to iteratively solve the transmit beamforming problem. Simulation results are provided to demonstrate the efficiency of the proposed method, in which it is revealed that the performance gains in terms of sum-rate of AIRS-RSMA networks with robust beamforming are significantly greater than the non-optimized AIRS-RSMA and conventional non-orthogonal multiple access (NOMA) schemes.
KW - Intelligent reflecting surface (IRS)
KW - rate-splitting multiple access (RSMA)
KW - transmit beamfoming design
KW - unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85146637801&partnerID=8YFLogxK
U2 - 10.1109/LATINCOM56090.2022.10000454
DO - 10.1109/LATINCOM56090.2022.10000454
M3 - Conference contribution
AN - SCOPUS:85146637801
SN - 978-1-6654-8226-4
T3 - IEEE Latin American Conference on Communications
BT - 2022 IEEE Latin-American Conference on Communications, LATINCOM 2022
A2 - Moraes, Igor M.
A2 - Campista, Miguel Elias M.
A2 - Ghamri-Doudane, Yacine
A2 - Luis Henrique M. K. Costa, Costa
A2 - Rubinstein, Marcelo G.
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - New Jersey
T2 - 14th IEEE Latin-American Conference on Communications, LATINCOM 2022
Y2 - 30 November 2022 through 2 December 2022
ER -