@inproceedings{a06a5c826b6848bf8531707f98319d86,
title = "Energy-Efficient Design in STAR-RIS Assisted Communication System with Antenna Selection",
abstract = "This paper investigates the energy-efficient beamforming design in a simultaneous transmission and reflection-reconfigurable intelligent surface (STAR-RIS) assisted wireless communication system, where the antenna selection scheme is adopted. An energy efficiency (EE) maximization problem is formulated by optimizing the transmit beamformers and the phase shift vectors subject to the power budget constraint of the base station (BS), the maximum transmit power constraint per antenna and the users' data rate requirements. An alternating optimization-based algorithm is proposed to tackle the coupled variables, and the quadratic transform is used to deal with the fractional formulations. Simulation results demonstrate that the antenna selection scheme can significantly improve the EE performance by suppressing the energy consumption due to massive antennas. With the assistance of the STAR-RIS, the EE performance is further enhanced.",
keywords = "antenna selection, EE, STAR-RIS",
author = "Guangyang Zhang and Yang Lu and Bo Ai and Zhangdui Zhong and Zhiguo Ding and Quek, {Tony Q.S.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Global Communications Conference, GLOBECOM 2023 ; Conference date: 04-12-2023 Through 08-12-2023",
year = "2023",
doi = "10.1109/GLOBECOM54140.2023.10436885",
language = "British English",
series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "637--642",
booktitle = "GLOBECOM 2023 - 2023 IEEE Global Communications Conference",
address = "United States",
}
