eprintid: 10204641
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/20/46/41
datestamp: 2025-02-12 12:49:47
lastmod: 2025-02-12 12:49:47
status_changed: 2025-02-12 12:49:47
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Xiao, H
creators_name: Hu, X
creators_name: Wang, W
creators_name: Su, Z
creators_name: Wong, KK
creators_name: Yang, K
title: STAR-RIS and UAV Combination in MEC Networks: Simultaneous Task Offloading and Communications
ispublished: pub
divisions: UCL
divisions: B04
divisions: F46
keywords: STAR-RIS, unmanned aerial vehicle (UAV),
mobile edge computing (MEC), simultaneous tasks offloading and
communications (STOC)
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 explores a simultaneous tasks offloading and communications (STOC) scheme in mobile edge computing (MEC) networks, supported by the combination of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and the unmanned aerial vehicle (UAV). Different from the traditional MEC schemes, the proposed scheme concurrently considers the computation and communication capabilities of the MEC networks, which is actually more practical in reality. Specifically, an optimization problem is devised to maximize the weighted sum of the minimum computed task data and communication data, while ensuring the quality of service (QoS) constraints for STOC through joint design of time scheduling, resource allocation, active and passive beamforming, alongside with the UAV trajectory planning. This non-convex problem with strong couplings among variables is challenging to solve directly. Then, a novel alternating optimization method is proposed, leveraging the successive convex approximation (SCA) and semi-definite relaxation (SDR) techniques. We provide sufficient numerical results to validate the effectiveness of the proposed STOC scheme, which demonstrate that the proposed scheme supported by STAR-RIS and UAV outperforms five benchmark schemes in terms of performance gain. It is important to note that the proposed scheme offers a feasible and realistic way for the implementations of STOC in practical MEC networks.
date: 2025-01-01
date_type: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
official_url: https://doi.org/10.1109/tcomm.2025.3535895
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2360023
doi: 10.1109/TCOMM.2025.3535895
lyricists_name: Wong, Kai-Kit
lyricists_id: KWONG98
actors_name: Wong, Kai-Kit
actors_id: KWONG98
actors_role: owner
full_text_status: public
publication: IEEE Transactions on Communications
pagerange: 1-1
issn: 0090-6778
citation:        Xiao, H;    Hu, X;    Wang, W;    Su, Z;    Wong, KK;    Yang, K;      (2025)    STAR-RIS and UAV Combination in MEC Networks: Simultaneous Task Offloading and Communications.                   IEEE Transactions on Communications     p. 1.    10.1109/TCOMM.2025.3535895 <https://doi.org/10.1109/TCOMM.2025.3535895>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10204641/1/6_final_version.pdf