View in EDS

Throughput Maximization for UAV-RIS NOMA Cognitive Systems in Disaster Communications

Saved in:
Bibliographic Details
Title: Throughput Maximization for UAV-RIS NOMA Cognitive Systems in Disaster Communications
Authors: Long, Nguyen Quoc, Vo, Van Nhan, Dang, Viet-Hung, Tran, Hung, TRAN DINH, Hieu, Pan, Zhenni, Shimamoto, Shigeru, Ho, Tu Dac
Source: 2024 RIVF International Conference on Computing and Communication Technologies (RIVF), Da Nang City, Vietnam [VN], 21-12-2024 => 23-12-2024
Publication Year: 2024
Collection: University of Luxembourg: ORBilu - Open Repository and Bibliography
Subject Terms: Bat algorithm optimization (BAO), Cognitive Radio (CR), Nonorthogonal Multiple Access (NOMA), Reconfigurable intelligent surface (RIS), Unmanned Aerial Vehicle (UAV), Aerial vehicle, Algorithms optimizations, Bat algorithm optimization, Bat algorithms, Cognitive radio, Multiple access, Non-orthogonal, Nonorthogonal multiple access, Reconfigurable, Reconfigurable intelligent surface, Unmanned aerial vehicle, Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Modeling and Simulation, Information Systems, Signal Processing, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques
Description: peer reviewed ; This paper examines a cognitive radio (CR) non-orthogonal multiple access (NOMA) system, which deploys an unmanned aerial vehicle (UAV) with a reconfigurable intelligent surface (RIS) in a disaster area. In particular, in the primary network, a base station (BS) communicates with a primary receiver (PR), while a secondary transmitter (ST) simultaneously sends superimposed signals to the two sensor destinations (SDs) via NOMA with the help of the UAV-RIS. Furthermore, a UAV eavesdropper (UE) wiretaps the signals from the UAV-RIS. To improve system performance, we then employ bat algorithm optimization (BAO) to maximize secondary network throughput under outage probability and security constraints.
Document Type: conference object
report
Language: English
Relation: http://xplorestaging.ieee.org/ielx8/11009006/11009001/11009076.pdf?arnumber=11009076; https://orbilu.uni.lu/handle/10993/66127; info:hdl:10993/66127
DOI: 10.1109/RIVF64335.2024.11009076
Availability: https://orbilu.uni.lu/handle/10993/66127
https://orbilu.uni.lu/bitstream/10993/66127/1/Throughput_Maximization_for_UAV-RIS_NOMA_Cognitive_Systems_in_Disaster_Communications.pdf
https://doi.org/10.1109/RIVF64335.2024.11009076
Rights: open access ; http://purl.org/coar/access_right/c_abf2 ; info:eu-repo/semantics/openAccess
Accession Number: edsbas.56F8513F
Database: BASE
Description
Abstract:peer reviewed ; This paper examines a cognitive radio (CR) non-orthogonal multiple access (NOMA) system, which deploys an unmanned aerial vehicle (UAV) with a reconfigurable intelligent surface (RIS) in a disaster area. In particular, in the primary network, a base station (BS) communicates with a primary receiver (PR), while a secondary transmitter (ST) simultaneously sends superimposed signals to the two sensor destinations (SDs) via NOMA with the help of the UAV-RIS. Furthermore, a UAV eavesdropper (UE) wiretaps the signals from the UAV-RIS. To improve system performance, we then employ bat algorithm optimization (BAO) to maximize secondary network throughput under outage probability and security constraints.
DOI:10.1109/RIVF64335.2024.11009076