Combined time bound optimization of control, communication, and data processing for FSO‐based 6G UAV aerial networks

Abstract

Because of the rapid increase of mobile traffic, flexible broadband supportive unmanned aerial vehicle (UAV)‐based 6G mobile networks using free space optical (FSO) links have been recently proposed. Considering the advancements made in UAVs, big data processing, and artificial intelligence precision control technologies, the formation of an additional wireless network based on UAV aerial platforms to assist the existing fixed base stations of the mobile radio access network is considered a highly viable option in the near future. In this paper, a combined time bound optimization scheme is proposed that can adaptively satisfy the control and communication time constraints as well as the processing time constraints in FSO‐based 6G UAV aerial networks. The proposed scheme controls the relation between the number of data flows, input data rate, number of worker nodes considering the time bounds, and the errors that occur during communication and data processing. The simulation results show that the proposed scheme is very effective in satisfying the time constraints for UAV control and radio access network services, even when errors in communication and data processing may occur.

Information Processing Methods of Electronic Warfare Events Based on Communication Technology

“…It can be seen from Figure 13 that as the electronic countermeasure event intelligence data increases, the signalto-noise ratio of the electronic countermeasure event intelligence processing results of different methods decreases. When the electronic countermeasure event intelligence data is 5000 MB, the signal-to-noise ratio of the electronic countermeasure event intelligence processing result of reference [4] method is 24.8 dB, and the signal-to-noise ratio of the electronic countermeasure event intelligence processing result of reference [5] method is 23.4 dB. e signal-to-noise ratio of the electronic countermeasure event intelligence processing result of the proposed method is 30 dB.…”

“…Electronic Countermeasure Incidents. Based on the electronic countermeasure event intelligence data, the proposed method, reference [4] method, and reference [5] method are used to process the electronic countermeasure event intelligence, and the comparison results of the stability of the electronic countermeasure event intelligence processing results of different methods are obtained as shown in Figure 13.…”

“…is method can reduce the energy consumption of data transmission in the intelligence information network. Reference [5] considers that electronic countermeasure drones form an additional wireless network to assist the existing fixed base stations of the mobile wireless access network, using FSO and network control 6G drones and optimizing communication time constraints and processing time constraints. Considering the time limit, control the relationship between the number of intelligence data streams, input data rate, the number of working nodes, and errors that occur during communication and data processing.…”

Adaptive Trust Management and Data Process Time Optimization for Real-Time Spark Big Data Systems

“…In this section, real-time big data processing technologies OptEx [13], SAF [14], SRSAF [15], and TSAF are compared using MATLAB 2020a based simulation. Most of the simulation parameters were performed according to the basic environment of Apache Spark Streaming.…”

The Intelligent Integration of Interactive Installation Art Based on Artificial Intelligence and Wireless Network Communication

“…The development trend of artificial intelligence and wireless network communication is unstoppable. We have found that the application of artificial intelligence and wireless network communication in interactive installation art can make us interact better and truly understand the emotions and art expressed by the installation [15]. The following is the connection between artificial intelligence and wireless network as shown in Figure 3.…”