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Performance analysis of active RIS-aided multi-pair full-duplex communications with spatial correlation and imperfect CSI

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Abstract

This paper investigates a multi-pair full-duplex (FD) communication system aided by an active reconfigurable intelligent surface (RIS) with spatial correlation and imperfect channel state information (CSI). We apply the linear minimum mean square error (LMMSE) method to estimate the cascaded user-RIS-user channel. The approximation for the sum achievable rate (ACR) is derived in closed form over correlated Rician fading channels. To provide insights in a poor-scattering environment, the sum ACR limits are also given when the Rician factors grow infinite. Subsequently, a method based on a genetic algorithm (GA) is designed for the sum ACR maximization considering the cases of continuous and discrete phase shifts. Simulation results validate the derived results, and present that the sum ACRs in the active RIS system are higher than the passive counterparts with the same power consumption, which indicates the superiority of the active RIS in overcoming the “multiplicative fading” effect.

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Acknowledgements

This work of Zhangjie PENG was supported in part by Natural Science Foundation of Shanghai (Grant No. 22ZR1445600), National Natural Science Foundation of China (Grant No. 61701307), and Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (Grant No. 2018D14). This work of Cunhua PAN was supported in part by National Natural Science Foundation of China (Grant No. 62201137) and Fundamental Research Funds for the Central Universities (Grant No. 2242022k60001). This work of Hong REN was supported in part by National Natural Science Foundation of China (Grant No. 62101128) and Basic Research Project of Jiangsu Provincial Department of Science and Technology (Grant No. BK20210205).

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Correspondence to Cunhua Pan.

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Peng, Z., Liu, X., Liu, X. et al. Performance analysis of active RIS-aided multi-pair full-duplex communications with spatial correlation and imperfect CSI. Sci. China Inf. Sci. 66, 192304 (2023). https://doi.org/10.1007/s11432-023-3799-6

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  • DOI: https://doi.org/10.1007/s11432-023-3799-6

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