Active Reconfigurable Intelligent Surface-Aided User-Centric Networks

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...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2024-02, Vol.73 (2), p.2930-2935
Main Authors: Tian, Zhong, Yao, Ye, Chen, Zhengchuan, Wang, Min, Jia, Yunjian
Format: Article
Language:English
Subjects:
Active reconfigurable intelligent surface (RIS)
Algorithms
Convexity
Interference
Mathematical programming
Networks
Optimization
Precoding
Quality of service
Reconfigurable intelligent surfaces
Signal to noise ratio
Upper bound
Upper bounds
user association
user-centric (UC) network
Wireless communication
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Summary: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.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3318979