This article first introduces the process of establishing a meta-model for decomposing group activities, providing task meta-model, resource meta-model, and control meta-model respectively. Then, based on these three ...
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Unmanned aerial vehicles (UAVs) are the next technology to be incorporated into a telecommunications network to improve command and control on a large scale in both line-of-sight (LOS) and non-line-of-sight (NLOS) con...
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Unmanned aerial vehicles (UAVs) are the next technology to be incorporated into a telecommunications network to improve command and control on a large scale in both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. However, there is still room for improvement in terms of reliability. This paper investigates Constant Packet Combining (CPC) and Adaptive Packet Combining (APC) techniques applied to Unmanned Aerial Vehicle (UAV) communication in the presence of large-scale fading, where the channels are subject to sudden degradation for long periods due to obstructions. We use Single Carrier (SC) Frequency Domain Equalization (FDE) combined with the Iterative Block Decision-Feedback Equalizer (IB-DFE) to handle command and control messages mapped for UAV use cases. We present closed-form equations for the equalization design as well as the performance parameters such as Bit Error Rate (BER), the Packet Error Rate (PER), the throughput, the retransmissions amount, the goodput (the transmission rate without the retransmissions quantity), and the outage probability. Then, we analyze the system performance using correlated, independent, and equal channels. There is a trade-off between the overall available power, throughput, and reliability. For instance, more retransmissions result in higher reliability, power consumption and lower goodputs (effective data rates). CPC validates the transmission system and confirms the improvement of BER and PER parameters without energy efficiency optimization. APC is appealing because it can reduce the number of retransmissions for all channels used with the advantage of meeting energy efficiency requirements by adapting the overall power to the scenario experienced by the UAV.
Summary: As the most successful artificial intelligence product, ChatGPT is becoming a breakthrough point for global technological innovation. This article comprehensively discusses and analyzes the application of Cha...
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Aiming at the problem that the traditional command and control (C2) system focuses on physical domain operations and is difficult to effectively support the C2 activities of cyberspace defense operations, this paper d...
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As user interface technologies evolve, integrating voice and text commands becomes crucial for enhancing interaction with operating systems. AssistantGPT leverages OpenAI's GPT API to enable natural language-drive...
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The intelligentization of warfare has increasingly high requirements for the human-machine efficiency of the naval command and control system, and the scientific and rational allocation of human-machine functions is t...
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This paper aims to enhance the assessment methods of radar effectiveness in surveillance and air command and control systems. It involves a comparison of different radar coverage models to explore their operational as...
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According to the characteristics of the command and control system, this paper analyzes the concept connotation of the intelligent command and control system, summarizes the types of intelligent level evaluation metho...
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Many nations are developing their military towards so-called Multi-Domain Operations with artificial intelligence (AI) as a pivotal component, despite identified challenges. Modern-day military operations underscore t...
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A Battlefield Management System (BMS) is a tactical command and control system which supports military operations on the battlefield to provide a continuous and coherent representation of the state of a tactical scena...
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