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- W4387010781 abstract "With the capability of controlling the wireless channels and alleviating multiplicative fading effects, active reconfigurable intelligent surface (RIS) can enhance the spectral efficiency (SE) and energy efficiency (EE) of user-centric (UC) networks. This work formulates the SE maximization problem for active RIS-aided UC networks considering the connecting capability of the access points (APs) and the quality of service (QoS) of the users. Due to the non-convexity of the problem, we divide it into three subproblems and propose a joint optimization framework for optimizing the user association, the precoding of the APs, and the reflection coefficients of the active RIS. For the user association subproblem, we propose a gradually approaching upper bound (GAUB) algorithm to construct a moderate and efficient association. Besides, the subproblems with respect to the transmit precoding and reflection coefficients optimization are solved by the fractional programming and Taylor approximation. Compared with existing benchmark schemes, simulation results show that the proposed joint optimization framework for active RIS-aided UC networks can obtain good SE and high EE." @default.
- W4387010781 created "2023-09-26" @default.
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- W4387010781 date "2023-01-01" @default.
- W4387010781 modified "2023-09-26" @default.
- W4387010781 title "Active Reconfigurable Intelligent Surface-Aided User-Centric Networks" @default.
- W4387010781 doi "https://doi.org/10.1109/tvt.2023.3318979" @default.
- W4387010781 hasPublicationYear "2023" @default.
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