Energy Efficiency Maximization for Active IRS-Assisted Uplink NOMA Systems

Active intelligent reflecting surface (IRS) can be coupled by non-orthogonal multiple access (NOMA) to enhance the spectrum efficiency. However, this improvement comes at the expense of increased power consumption, which may lead to a decline in energy efficiency (EE). This motivates us to explore t...

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Bibliographic Details
Published in:IEEE wireless communications letters 2024-06, Vol.13 (6), p.1561-1565
Main Authors: Qiao, Tiantian, Cao, Yang, Tang, Jie, Deng, Na, Zhao, Nan, Li, Yonghui
Format: Article
Language:English
Subjects:
active intelligent reflecting surface
Algorithms
Beamforming
energy efficiency
NOMA
Non-orthogonal multiple access
Nonorthogonal multiple access
Optimization
Power consumption
Power demand
Quality of service
Rayleigh channels
Reconfigurable intelligent surfaces
Signal to noise ratio
Uplink
uplink transmission
Uplinking
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Summary:Active intelligent reflecting surface (IRS) can be coupled by non-orthogonal multiple access (NOMA) to enhance the spectrum efficiency. However, this improvement comes at the expense of increased power consumption, which may lead to a decline in energy efficiency (EE). This motivates us to explore the EE performance in an active IRS-assisted uplink NOMA network. In the proposed approach, multiple users are assumed to transmit information to the base station (BS) aided by active IRS. We first develop a novel user ordering based on the strength of cascaded channels. Then, we maximize the EE by properly designing the transmit power and IRS active beamforming. This non-convex problem is addressed with an effective algorithm involving semi-definite relaxation and alternating optimization. Simulation results validate that the presented algorithm can provide marked EE improvement and outperform the benchmarks.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2024.3381949