2023
DOI: 10.1109/ojcoms.2023.3334474
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Positioning Information-Based Codebook for Reconfigurable Intelligent Surface Passive Beamforming

Ahmed M. Nor,
Octavian Fratu,
Simona Halunga

Abstract: This study has been conducted under the project 'MObility and Training fOR beyond 5G eco-systems (MOTOR5G)'. This project has funded from the European Union's Horizon 2020 programme under the Marie Skłodowska Curie Actions (MSCA) Innovative Training Network (ITN) under grant agreement No. 861219.

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Cited by 2 publications
(4 citation statements)
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“…Many works have been proposed to maximize the SE and EE individually or jointly, also, other works have investigated minimizing the power consumption. In these works, the design of the optimal active and passive beamforming (A-PBF) vectors is done depending on channel estimation or codebook training [12], [52]. However, in this work, we are not interested in optimal A-PBF design or optimizing a certain metric, hence we consider random configuration for RIS elements when we evaluate the RISs aided systems performance.…”
Section: Channel Models In the Ris Aided Systemmentioning
confidence: 99%
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“…Many works have been proposed to maximize the SE and EE individually or jointly, also, other works have investigated minimizing the power consumption. In these works, the design of the optimal active and passive beamforming (A-PBF) vectors is done depending on channel estimation or codebook training [12], [52]. However, in this work, we are not interested in optimal A-PBF design or optimizing a certain metric, hence we consider random configuration for RIS elements when we evaluate the RISs aided systems performance.…”
Section: Channel Models In the Ris Aided Systemmentioning
confidence: 99%
“…Moreover, for the performance evaluation of the SE and EE, we consider a RISs aided multiuser MISO system, where the BS serves 8 UEs at the same time, where the UEs are randomly distributed in the studied area. Also, we use the same channel parameters as [52], [53] to generate the BSs-UEs, BSs-RISs, and RISs-UEs channels. For simplicity purposes, we consider random configuration for RIS passive beamforming, though more efficient schemes can be utilized [52].…”
Section: Numerical Evaluationmentioning
confidence: 99%
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