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

Long, Nguyen Quoc; Vo, Van Nhan; Dang, Viet-Hung; Tran, Hung; TRAN DINH, Hieu; Pan, Zhenni; Shimamoto, Shigeru; Ho, Tu Dac

doi:10.1109/RIVF64335.2024.11009076

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

Long, Nguyen Quoc; Vo, Van Nhan; Dang, Viet-Hung et al.

2024 • 2024 RIVF International Conference on Computing and Communication Technologies (RIVF)

Peer reviewed

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https://hdl.handle.net/10993/66127

DOI
10.1109/RIVF64335.2024.11009076

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Keywords :

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

Abstract :

[en] 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.

Disciplines :

Computer science

Author, co-author :

Long, Nguyen Quoc

Vo, Van Nhan

Dang, Viet-Hung

Tran, Hung

TRAN DINH, Hieu ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Pan, Zhenni

Shimamoto, Shigeru

Ho, Tu Dac

External co-authors :

yes

Language :

English

Title :

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

Publication date :

2024

Event name :

2024 RIVF International Conference on Computing and Communication Technologies (RIVF)

Event organizer :

2025 RIVF International Conference on Computing and Communication Technologies.

Event place :

Da Nang City, Vietnam

Event date :

21-12-2024 => 23-12-2024

Audience :

International

Peer reviewed :

Peer reviewed

Source :

https://ieeexplore-ieee-org.proxy.bnl.lu/document/11009076

Additional URL :

http://xplorestaging.ieee.org/ielx8/11009006/11009001/11009076.pdf?arnumber=11009076

Funding text :

This work was supported by JST ASPIRE Grant Number JPMJAP2326, Japan and Duy Tan University.

Available on ORBilu :

since 24 October 2025

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Bibliography

D. G. C., A. Ladas, Y. A. Sambo, H. Pervaiz, C. Politis, and M. A. Imran, “An overview of post-disaster emergency communication systems in the future networks,” IEEE Wireless Commun., vol. 26, no. 6, pp. 132–139, 2019.
T. Do-Duy, L. D. Nguyen, T. Q. Duong, S. R. Khosravirad, and H. Claussen, “Joint optimisation of real-time deployment and resource allocation for uav-aided disaster emergency communications,” IEEE J. Selected Areas in Commun., vol. 39, no. 11, pp. 3411–3424, 2021.
A. Masaracchia, L. D. Nguyen, T. Q. Duong, and M.-N. Nguyen, “An energy-efficient clustering and routing framework for disaster relief network,” IEEE Access, vol. 7, pp. 56 520–56 532, 2019.
F. A. Tondo, M. Afhamisis, S. Montejo-Sánchez, O. L. A. López, M. R. Palattella, and R. D. Souza, “Multiple channel lora-to-leo scheduling for direct-to-satellite iot,” IEEE Access, vol. 12, pp. 30 627–30 637, 2024.
J. Guo, G. Liu, Q. Wu, and P. Fan, “Parallel attention-based transformer for channel estimation in RIS-aided 6G wireless communications,” IEEE Trans. Veh. Tech., pp. 1–14, 2024.
M. Ghamari, P. Rangel, M. Mehrubeoglu, G. S. Tewolde, and R. S. Sherratt, “Unmanned aerial vehicle communications for civil applications: A review,” IEEE Access, vol. 10, pp. 102 492–102 531, 2022.
E. B. et al., “Reconfigurable intelligent surfaces for 6G: Emerging hardware architectures, applications, and open challenges,” IEEE Veh. Tech. Magazine, pp. 2–22, 2024.
A.-T. Le, T. D. Hieu, T. N. Nguyen, T.-L. Le, S. Q. Nguyen, and M. Voznak, “Physical layer security analysis for RIS-aided NOMA systems with non-colluding eavesdroppers,” Computer Communications, vol. 219, pp. 194–203, 2024.
H. Ren, Z. Zhang, Z. Peng, L. Li, and C. Pan, “Energy minimization in RIS-assisted UAV-enabled wireless power transfer systems,” IEEE Internet of Things J., vol. 10, no. 7, pp. 5794–5809, Apr. 2023.
A. U. Khan, G. Abbas, Z. H. Abbas, M. Bilal, S. C. Shah, and H. Song, “Reliability analysis of cognitive radio networks with reserved spectrum for 6G-IoT,” IEEE Trans. Network and Service Management, vol. 19, no. 3, pp. 2726–2737, 2022.
Z. Xiang, W. Yang, Y. Cai, Z. Ding, and Y. Song, “Secure transmission design in HARQ assisted cognitive NOMA networks,” IEEE Trans. Inf. Forensics Secur., vol. 15, pp. 2528–2541, Jan. 2020.
O. Hashash, W. Saad, M. F. Imani, and D. R. Smith, “Simultaneous transmitting and reflecting (STAR)-RIS for harmonious millimeter wave spectrum sharing,” in IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, Mar. 2023, pp. 1–6.
Z. Chen, Z. Ding, X. Dai, and R. Zhang, “A mathematical proof of the superiority of NOMA compared to conventional OMA,” IEEE Trans. Signal Process., pp. 1–28, Oct. 2016.
D.-T. Do, A.-T. Le, and B. M. Lee, “NOMA in cooperative underlay cognitive radio networks under imperfect SIC,” IEEE Access, vol. 8, pp. 86 180–86 195, May 2020.
V. N. Vo, H. Tran, and C. So-In, “Enhanced intrusion detection system for an EH IoT architecture using a cooperative UAV relay and friendly UAV jammer,” IEEE/CAA J. of Automatica Sinica, vol. 8, no. 11, pp. 1786–1799, 2021.
A. Bhowmick, S. Roy, and S. Kundu, “Throughput maximization of a UAV assisted CR network with NOMA-based communication and energy-harvesting,” IEEE Trans. Vehicular Tech., vol. 71, no. 1, pp. 362–374, Jan. 2022.
B. Ji, Y. Li, S. Chen, C. Han, C. Li, and H. Wen, “Secrecy outage analysis of UAV assisted relay and antenna selection for cognitive network under nakagami-m channel,” IEEE Trans. Cognitive Commun. and Networking, vol. 7, pp. 1–11, Jan. 2020.
V. N. Vo, C. So-In, H. Tran, D. D. Tran, and T. P. Huu, “Performance analysis of an energy-harvesting IoT system using a UAV friendly jammer and NOMA under cooperative attack,” IEEE Access, vol. 8, pp. 221 986–222 000, 2020.
Y. Luo, C. Wu, Y. Leng, N. Huang, L. Mao, and J. Tang, “Throughput Optimization for NOMA Cognitive Relay Network with RF Energy Harvesting Based on Improved Bat Algorithm,” Mathematics, vol. 10, no. 22, 2022.
P. Yang, L. Yang, and S. Wang, “Performance analysis for RIS-aided wireless systems with imperfect CSI,” IEEE Wireless Commun. Letters, vol. 11, no. 3, pp. 588–592, Mar. 2022.
A. M. Hayaneh, S. A. R. Zaidi, D. C. Mclernon, M. D. Renzo, and M. Ghogho, “Performance analysis of UAV enabled disaster recovery networks: A stochastic geometric framework based on cluster processes,” IEEE Access, vol. 6, pp. 26 215–26 230, Jun. 2018.