Research on Generalized Optimal Regression Sampling Estimation Method in Wireless Communication Technology

Ding, Xiaowei

doi:10.1007/s10776-021-00518-7

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…In view of the above technical difficulties, Farooqi et al proposed the concept of effective street width [11]. Later, Chen et al proposed a virtual geometric scattering channel model, in which the transmission path under two and three reflections is equivalent to the transmission path under one reflection [12] wireless communication environment of urban street macro cell, only considering the line of sight (LOS) and single reflection path, and did not analyze the impact of multiple reflection path on transmission characteristics [6]. Chu et al pointed out that the path loss model can effectively describe the 5g communication environment through experimental measurement in the urban street environment [16].…”

Section: Literature Reviewmentioning

confidence: 99%

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Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment

Shang

2022

Security and Communication Networks

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Aiming at the problem of long average delay of traditional UAV emergency communication, a performance optimization method of UAV communication link based on emergency communication environment is proposed. The target tasks in the emergency communication channel are divided into different target task groups. According to the distance between the target tasks in the target task group, the symmetric matrix is constructed, all elements in the symmetric matrix are classified, and the classification results are calculated by ant colony algorithm to construct the emergency communication task scheduling model of UAV. Combined with the emergency communication task scheduling model and the demand, priority, time window, and communication ability of UAV emergency scheduling task, the time delay control of UAV emergency communication is realized with the goal of maximizing the efficiency of UAV task execution, maximizing the completion rate of UAV task execution and minimizing the risk of UAV delay. The experimental results show that the average delay of the three methods also increases. When the system load is 50%, the average delay of common methods is 23 ms, the average delay of traditional methods is 76 ms, the average delay of the method proposed in this paper is 26 ms, and the common average delay is the shortest. When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. The average delay of the method proposed in this paper is stable under different system loads and always remains below 40 ms. It is proved that compared with the traditional methods, the method proposed in this paper takes less time for UAV emergency communication and has less average delay under different system loads, so it has better application value.

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Section: Literature Reviewmentioning

confidence: 99%

“…UAVs should choose the most beneficial flight path under the condition of limiting energy, that is, the strategy with the greatest benefit, so as to achieve the overall optimization, that is, find the Nash equilibrium point. As a participant, UAVs can take the form of cooperative game to achieve the overall optimization [6].…”

Section: Introductionmentioning

confidence: 99%

Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment

Shang

2022

Security and Communication Networks

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Virtual Reality Interactive Method and Device Based on Wireless Communication Tracking

Song

2021

Wireless Communications and Mobile Computing

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Virtual reality is a computer system that creates a virtual world and then experiences through multiple senses. It is generated by a computer and stimulated by perception systems such as hearing, vision, touch, taste, and smell, providing users with a personal experience. Human-computer interaction is one of the core technologies of virtual reality. Wireless communication is the transmission of communications over long distances between multiple nodes without propagation through conductors or cables and can be carried out using radios, radios, etc. Wireless communication includes a variety of fixed, mobile, and portable applications such as two-way radios, mobile phones, personal digital assistants, and wireless networks. Other examples of radio wireless communication are GPS, garage door remotes, wireless mice, etc. Most wireless communication technologies use radio, including Wi-Fi with distances of just a few meters, but also deep space networks that communicate with Voyager 1 and distances of over millions of kilometers. With the continuous development of sensors and other supporting hardware facilities, the current development of human-computer interaction in virtual reality has made rapid progress. In the research to be conducted in this article, the virtual reality system used in this article cleverly integrates the three characteristics of immersion, interactivity, and conception, so that the experimenter can obtain more realistic data in comparison. To this end, this article first gives a general introduction to virtual reality technology and wireless communication tracking technology and then explains how to use wireless communication tracking technology to make the virtual reality interactive system smoother and smoother, as well as the introduction of its devices. This article explores and analyzes the possible or existing problems of wireless communication tracking technology in virtual reality interaction, hoping to contribute to the wider application of wireless communication tracking technology in virtual reality interaction. The positioning experiment on the wireless mobile signal identification points can be obtained. Among the 40 sensor nodes that are randomly deployed, when the interval of adjusting the mobile signal identification point to broadcast the current position information is 5 s, the average positioning error of the node is about 1.5 m; when the interval is 3 s, the average positioning error of the node is about 1.76 m. It can be seen that the positioning error of the node increases as the interval between the mobile signal identification points increases, which is consistent with the simulation detection result. When the node position of the target signal identification point is chosen to calculate does not just stay on the node communication circle, it introduces a certain localization distance difference, and the further the target signal identification point is from the position of the signal circle, the greater the error. Irregularity of RSS due to environmental changes analyzes the maximum error and provides the factors influencing the error and analyzing the maximum error and provide the factors that influence it.

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Research on Generalized Optimal Regression Sampling Estimation Method in Wireless Communication Technology

Cited by 2 publications

References 12 publications

Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment

Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment

Virtual Reality Interactive Method and Device Based on Wireless Communication Tracking

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