Design and Optimization of a UAV-Enabled Non-Orthogonal Multiple Access Edge Computing IoT System

Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) in IoT systems has recently gained prominence as a solution to accommodate the low latency and high energy efficiency needs of emerging and developing 5G-and-beyond IoT applications. Given the limited spectrum available, non-orthogona...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.117385-117398
Main Authors: Farha, Yazan Abu, Ismail, Mahmoud H.
Format: Article
Language:English
Subjects:
Algorithms
Autonomous aerial vehicles
Computation offloading
Design optimization
Edge computing
Energy budget
Internet of Things
Internet of Things (IoT)
Mobile computing
mobile edge computing (MEC)
NOMA
non-orthogonal multiple access (NOMA)
Nonorthogonal multiple access
Optimization
Performance enhancement
Task analysis
Trajectory
Unmanned aerial vehicles
unmanned aerial vehicles (UAVs)
Uplink
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Summary:Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) in IoT systems has recently gained prominence as a solution to accommodate the low latency and high energy efficiency needs of emerging and developing 5G-and-beyond IoT applications. Given the limited spectrum available, non-orthogonal multiple access (NOMA) communication scheme provides a spectral- and power-efficient task offloading means. In this work, a novel framework is proposed for a multiple-UAV-enabled MEC IoT system incorporating uplink NOMA. The goal is to maximize the sum bits offloaded from all the IoT devices (IoTDs) in a finite service period. This is achieved through joint optimization of the associations between the IoTDs and the UAVs, the IoTD transmit powers, as well as the UAV trajectories, given UAV and IoTD energy budgets and quality-of-service (QoS) criteria. Towards that end, a specialized penalty block coordinate descent (P-BCD) algorithm is proposed to decompose the original problem into 4 subproblems that are solved alternately and iteratively. By direct comparison with several benchmark schemes including orthogonal multiple access (OMA), our proposed scheme displays performance enhancement in terms of sum bits offloaded and energy expenditure. Finally, a performance comparison is carried out for the proposed scheme with different number of employed UAVs to find the most cost-effective number of UAVs to deploy.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3220264