TY - GEN
T1 - Joint Beam and Power Allocation for Energy Efficient Capacity Enhancement in RIS-Assisted mmWave Networks
AU - Lin, Huan Hsung
AU - Wu, Sau Hsuan
AU - Ko, Chun Hsien
AU - Huang, Yu Chih
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Reconfigurable Intelligent Surfaces (RIS) are perceived as cost-effective entities capable of expanding network coverage and enhancing system performance in 6G networks. Considering an RIS-assisted 6G millimeter network, this paper aims to find low-complexity beam and power allocations that maximize the network throughput. To resolve the complexity of such a mixed-integer non-convex programming problem, an iterative power decremental method is developed to solve the beam and power allocation problem alternatively under the system design constraints, making use of the concept of difference of convex functions and the zeroth-order gradient ascent method. Simulation results verify the superiority of the proposed method and its effectiveness in RIS-assisted millimeter networks.
AB - Reconfigurable Intelligent Surfaces (RIS) are perceived as cost-effective entities capable of expanding network coverage and enhancing system performance in 6G networks. Considering an RIS-assisted 6G millimeter network, this paper aims to find low-complexity beam and power allocations that maximize the network throughput. To resolve the complexity of such a mixed-integer non-convex programming problem, an iterative power decremental method is developed to solve the beam and power allocation problem alternatively under the system design constraints, making use of the concept of difference of convex functions and the zeroth-order gradient ascent method. Simulation results verify the superiority of the proposed method and its effectiveness in RIS-assisted millimeter networks.
KW - alternating optimization
KW - beam allocation
KW - Reconfigurable intelligent surfaces
KW - zeroth-order optimization
UR - http://www.scopus.com/inward/record.url?scp=85213067228&partnerID=8YFLogxK
U2 - 10.1109/VTC2024-Fall63153.2024.10757862
DO - 10.1109/VTC2024-Fall63153.2024.10757862
M3 - Conference contribution
AN - SCOPUS:85213067228
T3 - IEEE Vehicular Technology Conference
BT - 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 100th IEEE Vehicular Technology Conference, VTC 2024-Fall
Y2 - 7 October 2024 through 10 October 2024
ER -