Abstract Academics and businesses alike are presently fixated on the Sixth Generation (6G) network, which is seen as the telecom industry’s next major game-changer. The 6G architecture has not been finalized and is not yet being used in commercial settings. Research and development for 6G is still in its early stages. Several important features and technologies have surfaced as possible 6G system underpinnings, while development is still in its early phases. To facilitate the next generation of 3D modeling applications, this article suggests a new 6G cellular communication architecture. Aware of 6G’s revolutionary potential, we investigate its fundamental features to build a collaborative, real-time 3D modeling environment with unmatched capabilities. The goal of this project is to design the architecture for the next generation of communications systems. This will incorporate elements from two existing designs: the decoupled RAN design, which improves security and smooth data sorting, and the high-level design, which incorporates numerous protocols inside the antenna for stringent protection. Lastly, we delve into the possible sector-specific disruptions caused by this design and examine its wider implications for the future of 3D modeling. We hope that by introducing this new 6G architecture, we may inspire more study and development towards a day when 6G technology completely changes the game when it comes to 3D modeling.

Abstract Unmanned Aircraft Systems (UAS) is a booming technology with a future perspective and does have a huge potential to transfigure warfare and enable up-to-date civilian applications. It furthermore matures in a technological way as to be impinged into the civil society. In 2010, the importance of scientific applications in the respective field was demonstrated by DOD in the contemporary years. In recent years, UAS has played an integral role in a number of missions that are public, like law enforcement, which is local, board surveillance, weather monitoring, wildlife surveys, and military training. UAS do force some challenges that are numbered as lacking a pilot who is on-board in order to see and hence avoid supplemental aircraft, and furthermore, the extensive discrepancy in the missions related to UAS, and in order to implement the operations in the NextGen time frame impinged in NAS, the capabilities of the respective topic must be communicated. The applications of UAS are numbered as Ariel Mapping and Meteorology, intelligence, remote sensing, surveillance and reconnaissance, environmental monitoring and agriculture, border security, security applications and law enforcement, counter insurgency, electronic attacks, attack strikes, communication relays, target identification, and designation. Via this survey paper, it can be concluded that UAS is emerging as a valuable and helpful technology having tremendous potential for revolting warfare and enabling new applications w.r.t the UAS field.

Abstract The paper investigates the outage probability (OP) of a cognitive radio-based satellite-ground transmission system. In this configuration, both direct and relay links are activated to facilitate transmission from the primary satellite source to terrestrial users. The primary metric under scrutiny is the outage probability for both the primary and secondary networks. Utilizing the Shadowed-Rician fading model, commonly applied to satellite channels, for the satellite segment, and Nakagami-m fading models for terrestrial channels, we assess the OP by analyzing the expressions for both primary and secondary users. Additionally, we explore the impact of key system parameters on the OP’s performance. Indeed, the signal-to-noise ratio (SNR) and target rate are the main factors affecting the outage behavior of users on the ground. We identify certain conditions necessary to achieve improved performance by controlling key system parameters. Furthermore, this paper provides guidelines for designing cognitive radio (CR) systems in satellite configurations to meet the quality requirements of received signals on the ground. The analysis results are validated through Monte Carlo simulations implemented using MATLAB.

Abstract The Named Data Network (NDN) is a promising architecture for the near future. NDN communicates by naming data, unlike IP-based Internet architecture. Architectural understandability, ease of use, security, content presentation, and simplicity of data exchange logic make this architecture preferable. The NDNoT approach, which recently combines IoT and NDN, enables Internet of Things applications using NDN naming conventions and basic data structure. However, increasing technological applications bring security vulnerabilities. In this study, we propose a new method called CORE that will secure the intended data transfer. The presented CORE mechanism was developed as a countermeasure against the Interest Flooding attack, one of the NDN security attacks. Tests were carried out in the Cooja simulation environment using three different topology scenarios. CORE’s performance metrics were evaluated based on success rate, average delay, and interest traffic. The results showed that when the CORE mechanism was active, there was an improvement in the success rate and average delay. In terms of interest traffic, at least a 70% success rate was achieved compared to scenarios in which the CORE mechanism was not operated.

Abstract This paper explores the convergence of semi-autonomous systems and sensor fusion for monitoring hazardous atmospheric substances in open and semi-confined environments such as open-pit mines. As the heart of this system, a universal and flexible device leveraging wireless technologies to collect and analyze large volumes of data, designed by the authors, is proposed. The article outlines the key components of the platform, emphasizing its potential for increasing personnel safety levels as stipulated by the international public exposure guidelines. In modern mines, it becomes crucial to monitor elevated concentrations of nitrogen and carbon oxides, as well as other pollutants after blasting and the toxic gas emissions produced by the heavy transportation equipment such as mining trucks and excavators. In this paper, industrial-grade electrochemical sensors are compared with price-affordable but less precise microelectrochemical ones. The performed experiments for lowering computational requirements show promising results. The integration of an ultrasonic anemometer enhances the system’s capabilities, contributing to a comprehensive understanding of atmospheric conditions. In parallel, the research discusses the role of computer vision in autonomous control systems, with a focus on the architecture and processing pipeline of the state-of-the-art system-on-module Kria by AMD. Advocating the potential of adaptive computing for enhanced efficiency in dynamic environments, the paper underlines the importance of the integrated approach in developing a semi-autonomous atmospheric surveillance system and highlights the impact of adaptive computing in dynamic scenarios. The main part of the measuring equipment and methods has been experimented with in real conditions in open-pit mines in Bulgaria. This is an initial phase of ongoing research aimed at serving as a foundation for future improvements and the elaboration of a fully autonomous prototype for hazardous substances evaluation in the atmosphere of open-pit mines.