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.
| Original language | British English |
|---|---|
| Title of host publication | GLOBECOM 2023 - 2023 IEEE Global Communications Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 637-642 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350310900 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023 |
Publication series
| Name | Proceedings - IEEE Global Communications Conference, GLOBECOM |
|---|---|
| ISSN (Print) | 2334-0983 |
| ISSN (Electronic) | 2576-6813 |
Conference
| Conference | 2023 IEEE Global Communications Conference, GLOBECOM 2023 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 4/12/23 → 8/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- antenna selection
- EE
- STAR-RIS
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