eprintid: 10204328
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/20/43/28
datestamp: 2025-02-05 08:53:36
lastmod: 2025-02-05 08:53:36
status_changed: 2025-02-05 08:53:36
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Xiao, Han
creators_name: Hu, Xiaoyan
creators_name: Zhang, Weile
creators_name: Wang, Wenjie
creators_name: Wong, Kai-Kit
creators_name: Yang, Kun
title: Energy-Efficient STAR-RIS Enhanced UAV-Enabled MEC Networks with Bi-Directional Task Offloading
ispublished: inpress
divisions: UCL
divisions: B04
divisions: F46
keywords: STAR-RIS; unmanned aerial vehicle (UAV);
mobile edge computing (MEC); energy efficiency
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: This paper introduces a novel multi-user mobile edge computing (MEC) scheme facilitated by a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and a unmanned aerial vehicle (UAV). Unlike existing MEC approaches, the proposed scheme enables bi-directional offloading, allowing users to concurrently offload tasks to the MEC servers located at ground base station (BS) and UAV with the support of the STAR-RIS. To evaluate the effectiveness of the proposed MEC scheme, we first formulate an optimization problem aiming at maximizing the energy efficiency of the system while ensuring the quality of service (QoS) constraints by jointly optimizing the resource allocation, user scheduling, passive beamforming of the STAR-RIS, and the UAV trajectory. A block coordinate descent (BCD) iterative algorithm designed with the Dinkelbach’s algorithm and the successive convex approximation (SCA) technique is proposed to effectively handle the formulated non-convex optimization problem characterized by significant coupling among variables. Simulation results indicate that the proposed STAR-RIS enhanced UAV-enabled MEC scheme possesses significant advantages in enhancing the system energy efficiency over other baseline schemes including the conventional RIS-aided scheme.
date: 2025-01-23
date_type: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
official_url: https://doi.org/10.1109/twc.2025.3529252
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2357832
doi: 10.1109/TWC.2025.3529252
lyricists_name: Wong, Kai-Kit
lyricists_id: KWONG98
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: IEEE Transactions on Wireless Communications
issn: 1536-1276
citation:        Xiao, Han;    Hu, Xiaoyan;    Zhang, Weile;    Wang, Wenjie;    Wong, Kai-Kit;    Yang, Kun;      (2025)    Energy-Efficient STAR-RIS Enhanced UAV-Enabled MEC Networks with Bi-Directional Task Offloading.                   IEEE Transactions on Wireless Communications        10.1109/TWC.2025.3529252 <https://doi.org/10.1109/TWC.2025.3529252>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10204328/1/Energy-Efficient_STAR-RIS_Enhanced_UAV-Enabled_MEC_Networks_with_Bi-Directional_Task_Offloading.pdf