TY - GEN
T1 - Generalized Bender's decomposition (GBD) for Reconfigurable Intelligent Surface-Assisted Transmission Strategy Problem
AU - Huroon, Aamer Mohamed
AU - Huang, Yu Chih
AU - Fung, Carrson C.
AU - Wang, Li-Chun
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Reconfigurable intelligent surfaces (RIS) is a new technology that aims to improve the spectral and energy efficiency for next-generation wireless technology (6G). It has recently emerged as a potential alternative for alleviating limitations caused by complex propagation environment, especially in urban areas and its ability to expand network coverage. The advantage of RIS is especially evident when line-of-sight transmission is not possible in aerial-terrestrial communication where unmanned aerial vehicles (UAVs) are used as access points (APs). In most literature, the RIS is shared among different access points (APs) and the phase shifters are designed jointly to optimize certain performance metric for all APs and receivers. This work takes a different approach by optimally determining which RIS elements should be assigned to each UAV-user pair and designing the phase shifters at the RIS to maximize the sum rate accordingly. The problem is formulated as a mixed-integer nonlinear programming problem and solved using the Generalized Benders Decomposition (GBD) method. Simulation results show that substantial performance gain is obtained using the proposed strategy compared to non-grouping scheme.
AB - Reconfigurable intelligent surfaces (RIS) is a new technology that aims to improve the spectral and energy efficiency for next-generation wireless technology (6G). It has recently emerged as a potential alternative for alleviating limitations caused by complex propagation environment, especially in urban areas and its ability to expand network coverage. The advantage of RIS is especially evident when line-of-sight transmission is not possible in aerial-terrestrial communication where unmanned aerial vehicles (UAVs) are used as access points (APs). In most literature, the RIS is shared among different access points (APs) and the phase shifters are designed jointly to optimize certain performance metric for all APs and receivers. This work takes a different approach by optimally determining which RIS elements should be assigned to each UAV-user pair and designing the phase shifters at the RIS to maximize the sum rate accordingly. The problem is formulated as a mixed-integer nonlinear programming problem and solved using the Generalized Benders Decomposition (GBD) method. Simulation results show that substantial performance gain is obtained using the proposed strategy compared to non-grouping scheme.
KW - Generalized Benders Decomposition (GBD)
KW - Mixed-integer nonlinear programming (MINLP)
KW - Reconfigurable intelligent surfaces (RISs)
UR - http://www.scopus.com/inward/record.url?scp=85141513646&partnerID=8YFLogxK
U2 - 10.1109/APWCS55727.2022.9906491
DO - 10.1109/APWCS55727.2022.9906491
M3 - Conference contribution
AN - SCOPUS:85141513646
T3 - APWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium
SP - 1
EP - 5
BT - APWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2022
Y2 - 24 August 2022 through 26 August 2022
ER -
