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...

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Vydané v:Wireless communications and mobile computing Ročník 2022; číslo 1
Hlavní autori: Hu, Jintao, Xu, Jiajie, Zhao, Jie, Chen, Ying, Huang, Jiwei
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Hindawi 2022
John Wiley & Sons, Inc
Predmet:
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
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/3391917