Power Allocation Intelligent Optimization for Mobile NOMA Communication System. (10th May 2022)
- Record Type:
- Journal Article
- Title:
- Power Allocation Intelligent Optimization for Mobile NOMA Communication System. (10th May 2022)
- Main Title:
- Power Allocation Intelligent Optimization for Mobile NOMA Communication System
- Authors:
- Fu, Xiaobin
Tang, Zhen
Xiao, Pingping - Other Names:
- Feng Li Academic Editor.
- Abstract:
- Abstract : Non-orthogonal multiple access (NOMA) technology can greatly improve user access and spectral efficiency. This paper considers the power allocation optimization problem of a two-user mobile NOMA communication system. Firstly, a mobile NOMA communication system model is established. Then, we analyze the outage probability (OP) of mobile NOMA communication system and the relationship between OP performance and user power allocation coefficient. Finally, the optimization objective function is established, and a power allocation optimization algorithm employing monarch butterfly optimization (MBO) is proposed. Compared with firefly algorithm and artificial fish swarm algorithm, the efficiency of MBO algorithm is increased by 20.7%, which can better improve the OP performance.
- Is Part Of:
- Journal of advanced transportation. Volume 2022(2022)
- Journal:
- Journal of advanced transportation
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-10
- Subjects:
- Transportation -- Periodicals
388.05 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195 ↗ - DOI:
- 10.1155/2022/5838186 ↗
- Languages:
- English
- ISSNs:
- 0197-6729
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21654.xml