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Resource Allocation for Hybrid NOMA MEC Offloading

Research output: Contribution to journalJournal articlepeer-review

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Resource Allocation for Hybrid NOMA MEC Offloading. / Zhu, Jianyue; Wang, Jiaheng; Huang, Yongming; Fang, Fang; Navaie, Keivan; Ding, Zhiguo.

In: IEEE Transactions on Wireless Communications, Vol. 19, No. 7, 01.07.2020, p. 4964 - 4977.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Zhu, J, Wang, J, Huang, Y, Fang, F, Navaie, K & Ding, Z 2020, 'Resource Allocation for Hybrid NOMA MEC Offloading', IEEE Transactions on Wireless Communications, vol. 19, no. 7, pp. 4964 - 4977. https://doi.org/10.1109/TWC.2020.2988532

APA

Zhu, J., Wang, J., Huang, Y., Fang, F., Navaie, K., & Ding, Z. (2020). Resource Allocation for Hybrid NOMA MEC Offloading. IEEE Transactions on Wireless Communications, 19(7), 4964 - 4977. https://doi.org/10.1109/TWC.2020.2988532

Vancouver

Zhu J, Wang J, Huang Y, Fang F, Navaie K, Ding Z. Resource Allocation for Hybrid NOMA MEC Offloading. IEEE Transactions on Wireless Communications. 2020 Jul 1;19(7):4964 - 4977. https://doi.org/10.1109/TWC.2020.2988532

Author

Zhu, Jianyue ; Wang, Jiaheng ; Huang, Yongming ; Fang, Fang ; Navaie, Keivan ; Ding, Zhiguo. / Resource Allocation for Hybrid NOMA MEC Offloading. In: IEEE Transactions on Wireless Communications. 2020 ; Vol. 19, No. 7. pp. 4964 - 4977.

Bibtex

@article{1610804f83f04e04a44001866026d3f3,
title = "Resource Allocation for Hybrid NOMA MEC Offloading",
abstract = "Non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) have been recognized as promising technologies for the beyond fifth generation networks to achieve significant capacity improvement and delay reduction. In this paper, the technologies of hybrid NOMA and MEC are integrated. In the hybrid NOMA MEC system, multiple users are classified into different groups and each group is allocated a dedicated time slot. In each group, a user first offloads its task by sharing a time slot with another user, and then solely offloads during a time interval. To reduce the delay and save the energy consumption, we consider jointly optimizing the power and time allocation in each group as well as the user grouping. As the main contribution, the optimal power and time allocation is characterized in closed form. In addition, by incorporating the matching algorithm with the optimal power and time allocation, we propose a low complexity method to efficiently optimize user grouping. Simulation results demonstrate that the proposed resource allocation method in the hybrid NOMA MEC systems not only yields better performance than the conventional OMA scheme but also achieves quite close performance as global optimal solution.",
author = "Jianyue Zhu and Jiaheng Wang and Yongming Huang and Fang Fang and Keivan Navaie and Zhiguo Ding",
note = "{\textcopyright}2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2020",
month = jul,
day = "1",
doi = "10.1109/TWC.2020.2988532",
language = "English",
volume = "19",
pages = "4964 -- 4977",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "7",

}

RIS

TY - JOUR

T1 - Resource Allocation for Hybrid NOMA MEC Offloading

AU - Zhu, Jianyue

AU - Wang, Jiaheng

AU - Huang, Yongming

AU - Fang, Fang

AU - Navaie, Keivan

AU - Ding, Zhiguo

N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2020/7/1

Y1 - 2020/7/1

N2 - Non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) have been recognized as promising technologies for the beyond fifth generation networks to achieve significant capacity improvement and delay reduction. In this paper, the technologies of hybrid NOMA and MEC are integrated. In the hybrid NOMA MEC system, multiple users are classified into different groups and each group is allocated a dedicated time slot. In each group, a user first offloads its task by sharing a time slot with another user, and then solely offloads during a time interval. To reduce the delay and save the energy consumption, we consider jointly optimizing the power and time allocation in each group as well as the user grouping. As the main contribution, the optimal power and time allocation is characterized in closed form. In addition, by incorporating the matching algorithm with the optimal power and time allocation, we propose a low complexity method to efficiently optimize user grouping. Simulation results demonstrate that the proposed resource allocation method in the hybrid NOMA MEC systems not only yields better performance than the conventional OMA scheme but also achieves quite close performance as global optimal solution.

AB - Non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) have been recognized as promising technologies for the beyond fifth generation networks to achieve significant capacity improvement and delay reduction. In this paper, the technologies of hybrid NOMA and MEC are integrated. In the hybrid NOMA MEC system, multiple users are classified into different groups and each group is allocated a dedicated time slot. In each group, a user first offloads its task by sharing a time slot with another user, and then solely offloads during a time interval. To reduce the delay and save the energy consumption, we consider jointly optimizing the power and time allocation in each group as well as the user grouping. As the main contribution, the optimal power and time allocation is characterized in closed form. In addition, by incorporating the matching algorithm with the optimal power and time allocation, we propose a low complexity method to efficiently optimize user grouping. Simulation results demonstrate that the proposed resource allocation method in the hybrid NOMA MEC systems not only yields better performance than the conventional OMA scheme but also achieves quite close performance as global optimal solution.

U2 - 10.1109/TWC.2020.2988532

DO - 10.1109/TWC.2020.2988532

M3 - Journal article

VL - 19

SP - 4964

EP - 4977

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 7

ER -