Exploiting User Clustering and Fixed Power Allocation for Multi-Antenna UAV-Assisted IoT Systems

Nguyen, Sang Quang; Le, Anh‐Tu; Le, Chi‐Bao; Tin, Phu Tran; Kim, Yong‐Hwa

doi:10.3390/s23125537

Cited by 3 publications

(1 citation statement)

References 51 publications

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“…However, smart cities that make use of a variety of mobile devices with variable capacity were unable to use this approach. Using the hash function as its foundation, Nguyen et al [21] developed a swarm flight message authentication technique. To activate the UAVs more quickly and with less drain on the battery, the hash function was used.…”

Section: Literature Reviewmentioning

confidence: 99%

UAV-Based Secure Data Communication: Multilevel Authentication Perspective

Aljumah

2024

Sensors

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An Internet of Things (IoT) system for managing and coordinating unmanned aerial vehicles (UAVs) has revolutionized the industrial sector. The largest issue with the design of the Internet of UAVs (IoUAV) is security. Conspicuously, the novel contribution of the proposed work is to develop a layered authentication approach to facilitate safe IoUAV communication. Specifically, four modules, including the pre-deployment module, user registration module, login module, and authentication module, form the basis of security analysis. In the proposed technique, UAVs are added to the IoUAV registry. The next step is the user registration module, where people are registered with the UAV so they may access the information in real time. In the login module, the user connects with the server for data transmission. Finally, in the authentication module, all entities, including users, servers, and UAVs, are authenticated to ensure secure data communication. The proposed method achieves peak performance as compared to the state-of-the-art techniques in terms of statistical parameters of latency (3.255s), throughput (90.15%), and packet loss (8.854%).

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Section: Literature Reviewmentioning

confidence: 99%

UAV-Based Secure Data Communication: Multilevel Authentication Perspective

Aljumah

2024

Sensors

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Performance Prediction in UAV-Terrestrial Networks With Hardware Noise

Minh,

Le,

et al. 2023

IEEE Access

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To enhance the service quality of the unmanned aerial vehicle (UAV), the UAV-aided Internet of Things (IoT) systems could deploy a Deep Neural Network (DNN) for performance prediction for the users. Non-orthogonal multiple access (NOMA) is applied to such networks in order to improve spectrum efficiency, and results in improved quality of service at the ground users under the mobility of UAV. The outage and ergodic capacity requirements of the IoT users may not be satisfied due to some imperfect system parameters such as hardware noise. A DNN-based algorithm for performance prediction and the design of multiple antennas at the UAV under hardware noise is proposed. In this DNN-based UAV-NOMA, the central controller (server) collects system parameters periodically based on observing the state of IoT system and performs adjustments to the dynamic environment. The closed-form expressions for the outage probability and the ergodic capacity are derived to evaluate the performance of a group of IoT users. Our numerical results demonstrate that: i) In contrast to the traditional UAV-NOMA system, the UAV cannot know the performance at each IoT user in order to adjust the parameters (i.e. power allocation factors) before transmitting the signals to the devices; while the proposed DNN-based IoT system is capable of predicting the performance; ii) The performance of the IoT users can be significantly improved by integrating more antennas at the UAV and limiting levels of hardware noise; iii) By designing NOMA, the UAV-NOMA-based IoT system can increase the throughput to the tune of 40% compared with the benchmark (the orthogonal multiple access (OMA)-based IoT).INDEX TERMS deep neural network, non-orthogonal multiple access (NOMA), line-of-sight (LoS), unmanned aerial vehicles (UAVs), internet-of-things (IoT), hardware noise.

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Holographic Reconfigurable Intelligent Surface-Aided Downlink NOMA IoT Networks in Short-Packet Communication

Vo,

Nguyen,

et al. 2024

IEEE Access

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Non-orthogonal multiple access (NOMA) technology is projected to significantly increase the spectrum efficiency of the fifth-generation and subsequent wireless networks. Holographic reconfigurable Intelligent surfaces (HRISs) are a revolutionary technology that can deliver excellent spectral and energy efficiency at a cheap cost in wireless networks. In this letter, we investigate the short-packet communication (SPC) with the NOMA-based HRIS system with the internet of things (IoT). A base station (BS) communicates with two NOMA users by using HRIS in the proposed system to enhance spectral efficiency. Furthermore, we derived the exact closed-form expression of the average block error rate (BLER) for two NOMA users. To get more insight into the proposed system, the asymptotic BLER analysis was also carried out at high signal-to-noise ratio regime. The numerical results validate the current analysis and show that the presented NOMA strategy exceeds orthogonal multiple access-based approaches in terms of BLER and throughput.INDEX TERMS Holographic reconfigurable Intelligent surfaces, NOMA, short-packet communication, IoT, BLER.

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Exploiting User Clustering and Fixed Power Allocation for Multi-Antenna UAV-Assisted IoT Systems

Cited by 3 publications

References 51 publications

UAV-Based Secure Data Communication: Multilevel Authentication Perspective

UAV-Based Secure Data Communication: Multilevel Authentication Perspective

Performance Prediction in UAV-Terrestrial Networks With Hardware Noise

Holographic Reconfigurable Intelligent Surface-Aided Downlink NOMA IoT Networks in Short-Packet Communication

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