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Delay Efficient FA-Assisted Satellite Communication Network with Mobile Edge Computing

Zhao, Jingwen; Chen, Ming; Yang, Zhaohui; Xu, Hao; Pan, Cunhua; Quek, Tony QS; Wong, Kai-Kit; (2025) Delay Efficient FA-Assisted Satellite Communication Network with Mobile Edge Computing. IEEE Internet of Things Journal 10.1109/JIOT.2025.3645072. (In press). Green open access

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Abstract

Mobile edge computing–space-air-ground integrated network (MEC-SAGIN) is emerging as a crucial component of future wireless systems. Despite its potential, addressing network fluctuations while ensuring continuous low-latency computing services in highly dynamic environments remains a significant challenge. To address this issue, this paper proposes a fluid antenna (FA)-assisted MEC-SAGIN system, which enhances channel transmission conditions and reduces uplink task offloading latency by flexibly adjusting the antenna ports of edge computing users equipped with FAs. Specifically, we aim to minimize the maximum total computational delay (TCD) of edge computing tasks for ground users (GUs) and the satellite user (SU) by jointly optimizing the task offloading strategies, computational resource allocation, FA port positions, unmanned aerial vehicle (UAV) location, and the receive beamforming matrix. To solve this non-convex problem, we employ the block coordinate descent (BCD) technique to decompose the original problem into four subproblems. The subproblems are optimized using a combination of low-complexity iterative algorithms and the projected gradient descent (PGD) method to refine communication and computation configurations as well as FA port selection. Simulation results demonstrate that the FA-assisted scheme significantly improves the TCD performance of the MEC-SAGIN system. It maintains transmission stability and reliability in dynamic environments while outperforming conventional fixed-position antennas (FPAs) and random-port antenna schemes.

Type: Article
Title: Delay Efficient FA-Assisted Satellite Communication Network with Mobile Edge Computing
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/JIOT.2025.3645072
Publisher version: https://doi.org/10.1109/jiot.2025.3645072
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Mobile edge computing, fluid antenna, satellite communication, unmanned aerial vehicle, resource allocation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10219995
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