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Multi-Functional RIS-Aided Cell-Free Networks

delete2024-09-01
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PRE
AI
H
Hao Wei
王文 (Wen Wang) *
W
Wanli Ni
D
Dusit Niyato
DOI:10.1109/TVT.2024.3387479delete
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Abstract

Abstract

En 中文
In this paper, we investigate the utilization of multi-functional reconfigurable intelligent surfaces (MF-RIS) in cell-free networks to enhance capacity. Equipped with reflective and refractive circuits, as well as negative resistance-based amplifiers, the MF-RIS is able to simultaneously reflect, refract, and amplify incident signals. As such, the signal received by all users in the whole space can be enhanced significantly in a cost-efficient manner. To maximize the weighted sum-rate of the considered network, a non-convex problem is formulated by jointly optimizing the transmit precoding and MF-RIS beamforming. Then, we propose an alternating optimization algorithm to solve this challenging problem efficiently. Simulation results show that, through coordinated manipulation of the amplitude and phase shift of reflected and refracted signals, the MF-RIS improves the throughput of cell-free networks significantly compared to benchmarks with/without existing RIS.
Keywords:
Cell-free network
multi-functional reconfigurable intelligent surface
joint precoding and beamforming
weighted sum-rate maximization
Cell-free network
multi-functional reconfigurable intelligent surface
joint precoding and beamforming
weighted sum-rate maximization

Journal

IEEE Transactions on Vehicular Technology cover
IEEE Transactions on Vehicular Technology
IF:
7.1
Papers:
1.8W
Citations:
6.6W

Organization

B
beijing university of posts & telecommunications
Scholars:
1.4W
Papers: 1.2W
Citations: 9
T
tsinghua university
Scholars:
11.8W
Papers: 10.0W
Citations: 137
N
Nanyang Technological University
Scholars:
4.9W
Papers: 4.8W
Citations: 8.1W
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