PSO-Based UAV Deployment and Dynamic Power Allocation for UAV-Enabled Uplink NOMA Network. (1st August 2021)
- Record Type:
- Journal Article
- Title:
- PSO-Based UAV Deployment and Dynamic Power Allocation for UAV-Enabled Uplink NOMA Network. (1st August 2021)
- Main Title:
- PSO-Based UAV Deployment and Dynamic Power Allocation for UAV-Enabled Uplink NOMA Network
- Authors:
- Abdel-Razeq, Sharief
Shakhatreh, Hazim
Alenezi, Ali
Sawalmeh, Ahmad
Anan, Muhammad
Almutiry, Muhannad - Other Names:
- Kumar Nagendra Academic Editor.
- Abstract:
- Abstract : Recently, unmanned aerial vehicles (UAVs) have been used as flying base stations (BSs) to take advantage of line-of-sight (LOS) connectivity and efficiently enable fifth-generation (5G) and cellular network coverage and data rates. On the other hand, nonorthogonal multiple access (NOMA) is a promising technique to help achieve unprecedented requirements by simultaneously allowing multiple users to send data over the same resource block. In this paper, we study a UAV-enabled uplink NOMA network, where the UAV collects data from ground users while flying at a certain altitude. Unlike all existing work on this topic, this study consists of two stages. In the first stage, we use the well-known Particle Swarm Optimization (PSO) algorithm, which is a metaheuristic algorithm, to deploy the UAV in 3D space, so that the users' sum pathlosses are minimized. In the second stage, we investigate the user pairing problem and propose a dynamic power allocation technique for determining the user's power allocation coefficients, as well as a closed-form equation for the ergodic sum-rate. Results show our PSO-based algorithm prevailing over the Genetic Algorithm (GA) and random deployment methods. The proposed dynamic power allocation strategy maximizes the network's ergodic sum-rate and outperforms the fixed power allocation strategy. Additionally, the results reveal that the best pairing scheme is the one that keeps uniform channel gain difference in the same pair.
- Is Part Of:
- Wireless communications and mobile computing. Volume 2021(2021)
- Journal:
- Wireless communications and mobile computing
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-08-01
- Subjects:
- Wireless communication systems -- Periodicals
Mobile communication systems -- Periodicals
621.38205 - Journal URLs:
- https://onlinelibrary.wiley.com/journal/15308677 ↗
https://www.hindawi.com/journals/wcmc/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1155/2021/2722887 ↗
- Languages:
- English
- ISSNs:
- 1530-8669
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9323.860000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18586.xml