Resource Allocation for Hybrid NOMA MEC Offloading

Zhu, Jianyue and Wang, Jiaheng and Huang, Yongming and Fang, Fang and Navaie, Keivan and Ding, Zhiguo (2020) Resource Allocation for Hybrid NOMA MEC Offloading. IEEE Transactions on Wireless Communications, 19 (7). 4964 - 4977. ISSN 1536-1276

[img]
Text (Paper_TW_2020)
Paper_TW_2020.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (704kB)

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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Wireless Communications
Additional Information:
©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.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2208
Subjects:
ID Code:
143493
Deposited By:
Deposited On:
28 Apr 2020 14:55
Refereed?:
Yes
Published?:
Published
Last Modified:
21 Oct 2020 07:00