Resource Allocation for Hybrid NOMA MEC Offloading

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...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2020-07, Vol.19 (7), p.4964-4977
Main Authors: Zhu, Jianyue, Wang, Jiaheng, Huang, Yongming, Fang, Fang, Navaie, Keivan, Ding, Zhiguo
Format: Article
Language:English
Subjects:
Algorithms
Computation offloading
Computer simulation
Delays
Edge computing
Energy conservation
Energy consumption
Hybrid systems
Mobile computing
mobile edge computing
NOMA
Non-orthogonal multiple access
Nonorthogonal multiple access
Optimization
Power consumption
Resource allocation
Resource management
Servers
Task analysis
time delay
user grouping
Wireless communication
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Summary: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.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2020.2988532