SE and EE Tradeoff in Active STAR-RIS Assisted Systems With Hardware Impairments

This paper investigates the problem of resource efficiency maximization in an active simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted communication system under practical transceiver hardware impairments (HWIs). We aim to obtain an optimal tradeoff between system spectral efficiency (SE) and energy efficiency (EE), by jointly optimizing the base station (BS) transmit beamforming and the active STAR-RIS beamforming. To tackle the challenges in the fractional objective function, we begin by applying the quadratic transformation method to simplify it into a manageable form. An alternating optimization-based algorithm is then developed to iteratively update the BS and STAR-RIS beamforming coefficients. Simulation results demonstrate that the proposed scheme performs better than other baseline schemes in the presence of HWIs. Moreover, the variation of the achievable SE-EE region with different transmit power budgets is analyzed.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-09-09
DOI
https://doi.org/10.1109/tvt.2025.3607948
Primary Topic
Radiation Effects in Electronics
Type
article
Field-Weighted Citation Impact
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article

SE and EE Tradeoff in Active STAR-RIS Assisted Systems With Hardware Impairments

Ao Huang, Xidong Mu, Guangyu Zhu, Li Guo
IEEE Transactions on Vehicular Technology
Radiation Effects in Electronics
article

SE and EE Tradeoff in Active STAR-RIS Assisted Systems With Hardware Impairments

Ao Huang, Xidong Mu, Guangyu Zhu, Li Guo
article en

Abstract

This paper investigates the problem of resource efficiency maximization in an active simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted communication system under practical transceiver hardware impairments (HWIs). We aim to obtain an optimal tradeoff between system spectral efficiency (SE) and energy efficiency (EE), by jointly optimizing the base station (BS) transmit beamforming and the active STAR-RIS beamforming. To tackle the challenges in the fractional objective function, we begin by applying the quadratic transformation method to simplify it into a manageable form. An alternating optimization-based algorithm is then developed to iteratively update the BS and STAR-RIS beamforming coefficients. Simulation results demonstrate that the proposed scheme performs better than other baseline schemes in the presence of HWIs. Moreover, the variation of the achievable SE-EE region with different transmit power budgets is analyzed.

IEEE Transactions on Vehicular TechnologyVol. 75(3)
Queen's University Belfast (GB), Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 76%
Radiation Effects in Electronics
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