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 - Funding Information:
Manuscript received August 28, 2019; revised January 2, 2020 and February 29, 2020; accepted April 8, 2020. Date of publication April 27, 2020; date of current version July 10, 2020. This work was supported in part by the National Natural Science Foundation of China under Grant 61720106003 and Grant 61971130, in part by the Research Project of Jiangsu Province under Grant BE2018121, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20160069 and Grant BK20190337, in part by the Scientific Research Foundation of the Graduate School of Southeast University under Grant YBJJ1817, and in part by the Scholarship from the China Scholarship Council under Grant 201806090065. This article was presented in part at the IEEE Global Communication Conference, Waikoloa, HI, USA, in December 2019. The associate editor coordinating the review of this article and approving it for publication was Y.-F. Liu. (Corresponding author: Yongming Huang.) Jianyue Zhu, Jiaheng Wang, and Yongming Huang are with the National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020/7
Y1 - 2020/7
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.
KW - energy consumption
KW - mobile edge computing
KW - Non-orthogonal multiple access
KW - resource allocation
KW - time delay
KW - user grouping
UR - http://www.scopus.com/inward/record.url?scp=85087801003&partnerID=8YFLogxK
U2 - 10.1109/TWC.2020.2988532
DO - 10.1109/TWC.2020.2988532
M3 - Article
AN - SCOPUS:85087801003
SN - 1536-1276
VL - 19
SP - 4964
EP - 4977
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 7
M1 - 9079198
ER -
