| Title |
Optimization Algorithm for Improving Energy Efficiency Performance in UAV-RIS Enabled Non-terrestrial Networks |
| Authors |
신승석(Seungseok Sin) ; 허준영(Junyeong Heo) ; 마진아(Jina Ma) ; 문상미(Sangmi Moon) ; 이창건(Chang-Gun Lee) ; 황인태(Intae Hwang) |
| DOI |
https://doi.org/10.5573/ieie.2025.62.1.3 |
| Keywords |
Non-terrestrial network; Optimization; Reconfigurable intelligent surface; Successive convex approximation; Second-order cone programming; Unmanned aerial vehicle |
| Abstract |
The high frequency of the terahertz (THz) band to support 6G has the characteristics of abundant spectrum and high data transmission rate, but has the problem of large path loss. To complement this, interest is growing in Non-Terrestrial Network (NTN), which uses high-altitude satellites as base stations or terminals, and Reconfigurable Intelligent Surface (RIS). Accordingly, in this paper, we propose RIS mounted on unmanned aerial vehicle (UAV), referred to as UAV-RIS communication that takes Energy Efficiency (EE) into account in non-terrestrial networks through trajectory optimization of UAV-RIS that jointly considers communication throughput and energy consumption of UAVs. The proposed algorithm optimizes the UAV-RIS trajectory, base station beamforming vector, and RIS beamforming vector by appropriately using Successive Convex Approximation (SCA), Karush-Kuhn-Tucker (KKT) conditions, and Second-Order Cone Programming (SOCP) algorithm to save energy. The simulation results show that the proposed algorithm achieves higher energy efficiency than existing techniques. |