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Simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) with energy harvesting and adaptive power

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Abstract

In this paper, we evaluate and optimize the throughput of STAR-RIS for underlay cognitive radio networks (CRN) with energy harvesting from radio frequency (RF) signals. The secondary source \(S_\textrm{S}\) harvests power from node A RF signal. Then, \(S_\textrm{S}\) adapts its power to control the interference at primary destination \(P_\textrm{D}\). The broadcasted signal will be delivered to two users \(U_\textrm{t}\) and \(U_\textrm{r}\) located in the space of transmission and reflection of STAR-RIS in the secondary network. When STAR-RIS is used, the signal to interference plus noise ratio (SINR) at users \(U_\textrm{t}\) and \(U_\textrm{r}\) is maximized by a wise optimization of STAR-RIS phases. STAR-RIS offers a diversity equal to the number of its elements N. Therefore, when the number of STAR-RIS elements N is doubled, we get up to 15 dB gain.

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Funding

This paper was funded by SEU.

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Authors and Affiliations

  1. Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia

    Raed Alhamad

  2. COSIM Lab, Tunis, Tunisia

    Hatem Boujemâa

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  1. Raed Alhamad
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  2. Hatem Boujemâa
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It is the contribution of Raed Alhamad and Hatem Boujemaa.

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Correspondence to Raed Alhamad.

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Alhamad, R., Boujemâa, H. Simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) with energy harvesting and adaptive power. SIViP 18, 1155–1160 (2024). https://doi.org/10.1007/s11760-023-02822-6

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  • DOI: https://doi.org/10.1007/s11760-023-02822-6

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