Game-Theoretical Data Offloading for NOMA-Enabled Urban Internet of Things

Urban Internet of Things (IoT) plays an extremely important role in our daily life by deploying smart cities and urban brains. Orthogonal multiple access (OMA) technology has been a commonly used communication method in recent years, but nonorthogonal multiple access (NOMA) attracts the attention of...

Full description

Saved in:
Bibliographic Details
Published in:Wireless communications and mobile computing Vol. 2022; no. 1
Main Authors: Hu, Jintao, Xu, Jiajie, Zhao, Jie, Chen, Ying, Huang, Jiwei
Format: Journal Article
Language:English
Published: Oxford Hindawi 2022
John Wiley & Sons, Inc
Subjects:
Algorithms
Communication
Data transmission
Energy consumption
Experiments
Game theory
Internet of Things
Iterative methods
Nonorthogonal multiple access
Parametric analysis
Performance evaluation
Unmanned aerial vehicles
ISSN:1530-8669, 1530-8677
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Urban Internet of Things (IoT) plays an extremely important role in our daily life by deploying smart cities and urban brains. Orthogonal multiple access (OMA) technology has been a commonly used communication method in recent years, but nonorthogonal multiple access (NOMA) attracts the attention of many researchers due to its superiority of successive interference cancellation (SIC) technology. We consider adding the base station (BS) and unmanned aerial vehicle (UAV) to perform collaborative data offloading services with urban IoT devices and introduce the NOMA technology to improve offloading efficiency. In order to solve the data unloading problem in this model cost-effectively, we formulate the model as a game model based on noncooperative competition and propose the iterative game-based data offloading algorithm (GDOA) to obtain the Nash equilibrium (NE) solution. Finally, we use the simulation data to conduct parametric analysis experiments and comparison experiments on GDOA to evaluate its real performance.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/3391917