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Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing. / Qin, Xintong; Yu, Wenjuan; Ni, Qiang et al.
In: IEEE Communications Letters, 19.03.2025.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Qin, X, Yu, W, Ni, Q, Song, Z, Hou, T & Sun, X 2025, 'Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing', IEEE Communications Letters. https://doi.org/10.1109/lcomm.2025.3552901

APA

Qin, X., Yu, W., Ni, Q., Song, Z., Hou, T., & Sun, X. (2025). Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing. IEEE Communications Letters. Advance online publication. https://doi.org/10.1109/lcomm.2025.3552901

Vancouver

Qin X, Yu W, Ni Q, Song Z, Hou T, Sun X. Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing. IEEE Communications Letters. 2025 Mar 19. Epub 2025 Mar 19. doi: 10.1109/lcomm.2025.3552901

Author

Qin, Xintong ; Yu, Wenjuan ; Ni, Qiang et al. / Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing. In: IEEE Communications Letters. 2025.

Bibtex

@article{ed0919693cc240e8b1d11e46db9452f3,
title = "Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing",
abstract = "The wireless-powered mobile edge computing (MEC) has emerged as a promising technique to provide energy supplies and computing services for users in Internet of Things (IoT). However, the limited computational resources and poor channel conditions in traditional wireless-powered MEC systems hinder their ability to meet growing user demands. In this paper, we propose a novel beyond-diagonal reconfigurable intelligent surface (BD-RIS) assisted wireless-powered cooperative MEC model to address these challenges. To maximize the total number of completed task bits, we develop a joint resource allocation and beamforming algorithm based on the penalty and Riemannian trust-region methods to jointly optimize the energy transfer time, transmit power, CPU frequencies of users, bandwidth allocation, and the beamforming of BD-RIS. Simulation results demonstrate that the proposed cooperative computing model significantly improves the total number of completed task bits and highlights the superiority of fully-connected BD-RIS over RIS and simultaneous transmission and reflection RIS (STARRIS) in wireless-powered MEC systems.",
author = "Xintong Qin and Wenjuan Yu and Qiang Ni and Zhengyu Song and Tianwei Hou and Xin Sun",
year = "2025",
month = mar,
day = "19",
doi = "10.1109/lcomm.2025.3552901",
language = "English",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing

AU - Qin, Xintong

AU - Yu, Wenjuan

AU - Ni, Qiang

AU - Song, Zhengyu

AU - Hou, Tianwei

AU - Sun, Xin

PY - 2025/3/19

Y1 - 2025/3/19

N2 - The wireless-powered mobile edge computing (MEC) has emerged as a promising technique to provide energy supplies and computing services for users in Internet of Things (IoT). However, the limited computational resources and poor channel conditions in traditional wireless-powered MEC systems hinder their ability to meet growing user demands. In this paper, we propose a novel beyond-diagonal reconfigurable intelligent surface (BD-RIS) assisted wireless-powered cooperative MEC model to address these challenges. To maximize the total number of completed task bits, we develop a joint resource allocation and beamforming algorithm based on the penalty and Riemannian trust-region methods to jointly optimize the energy transfer time, transmit power, CPU frequencies of users, bandwidth allocation, and the beamforming of BD-RIS. Simulation results demonstrate that the proposed cooperative computing model significantly improves the total number of completed task bits and highlights the superiority of fully-connected BD-RIS over RIS and simultaneous transmission and reflection RIS (STARRIS) in wireless-powered MEC systems.

AB - The wireless-powered mobile edge computing (MEC) has emerged as a promising technique to provide energy supplies and computing services for users in Internet of Things (IoT). However, the limited computational resources and poor channel conditions in traditional wireless-powered MEC systems hinder their ability to meet growing user demands. In this paper, we propose a novel beyond-diagonal reconfigurable intelligent surface (BD-RIS) assisted wireless-powered cooperative MEC model to address these challenges. To maximize the total number of completed task bits, we develop a joint resource allocation and beamforming algorithm based on the penalty and Riemannian trust-region methods to jointly optimize the energy transfer time, transmit power, CPU frequencies of users, bandwidth allocation, and the beamforming of BD-RIS. Simulation results demonstrate that the proposed cooperative computing model significantly improves the total number of completed task bits and highlights the superiority of fully-connected BD-RIS over RIS and simultaneous transmission and reflection RIS (STARRIS) in wireless-powered MEC systems.

U2 - 10.1109/lcomm.2025.3552901

DO - 10.1109/lcomm.2025.3552901

M3 - Journal article

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

ER -