Current Issue : January-March Volume : 2023 Issue Number : 1 Articles : 5 Articles
In this paper, an antenna with a multiple-input, multiple-output (MIMO) configuration is demonstrated for mm-wave 5G-based Internet of Things (IoT) applications. The two antenna elements are arranged next to each other to form a two-port antenna system such that significant field decorrelation is achieved. Moreover, a dielectric layer is backed by an eventual multiport system to amend and analyze the radiation characteristics. The overall size of the MIMO configuration is 14 mm × 20 mm, and the operation bandwidth achieves ranges from 16.7 to 25.4 GHz, considering the −10 dB criterion with a maximum isolation of more than −30 dB within the operating band. The peak gain offered by the antenna system is nearly 5.48 dB, and incorporating a dielectric layer provides an increase in the gain value to 8.47 dB.Within the operating band, more than 80% total efficiency is observed, and analysis shows several MIMO performance metrics with favorable characteristics. The compactness of the proposed design with high isolation, improved gain, and wideband features make it a suitable candidate for mm-wave-based 5G applications....
The application of 5G communication technology will help our lives in many ways because the biggest advantage of 5G technology is the ubiquitous wireless connectivity, coupled with the standardization of IP as a data protocol, the availability of low-cost and powerful computing resources in the cloud, and the increased speed of transmitted data, all of which help shape the vision of 5G. Many application scenarios can use lower-cost 5G networks. Based on advances in various communication technologies, several new application scenarios, including robotics and human-robot interaction, are beginning to emerge. Most of the new applications can be realized through 4G networks. To maximize its potential, 5G networks will need to meet a variety of requirements and support the allocation of resources to different applications in an intelligent manner, which is a major technical challenge. As a hot technology in 5G communications, high-density heterogeneous networks have attracted a lot of attention worldwide. This paper firstly discusses the current status of 5G technology research and analyzes the necessity and main features of 5G technology development, so as to gain a deeper understanding of the main features of 5G. This paper then follows a comprehensive discussion of the development of artificial intelligence in the context of 5G networks and its contribution to the reform of the music education system and designs a method for reforming the music teaching system based on artificial intelligence algorithms in the context of 5G networks. The experimental results show that the algorithm of this paper has a good promotion effect on the music education system reform and verifies the effectiveness of the model....
The purpose of this paper is to improve the effectiveness of the Moving Target Defense (MTD)-based protection method, which reduces the problem of using traditional network protection tools due to the static nature of network services and configurations. Options for solving the problems of choosing an adequate time interval for activating the technology of MTD and its application in networks are given. A new approach is proposed, which consists in creating a set of system configurations and changing it when an attack is detected and determined. The design implementation was tested on a network model using software defined networks (SDN). The advantages of the proposed method are highlighted, among which the most significant are: simple operation scheme, ability to deploy the system without the use of software-defined networks and absence of violations of security policies within the system....
Telecommunication network fraud crimes frequently occur in China. Predicting the number and trend of telecommunication network fraud will be of great significance to combating crimes and protecting the legal property of citizens. This paper proposes a combined model of predicting telecommunication network fraud crimes based on the Regression-LSTM model. First, we find that there is a strong correlation between privacy data illegally sold on the dark web and telecommunication network fraud data. Hence, this paper constructs a Linear Regression model using the privacy data illegally sold on the dark web to predict the number of telecommunication network fraud crimes. Second, an LSTM prediction model is constructed using the data of telecommunication network fraud cases on China Judgments Online based on the time-series feature of telecommunication network fraud crimes. Third, this paper uses the error reciprocal method to combine the two models for prediction. In addition, this paper selects the monthly data set of telecommunication network fraud occurring in 2021 for experimental evaluation. The experimental results show that the accuracy of the Regression-LSTM model constructed in this paper is 86.80%, and the RMSE is 0.149. Compared with the ARIMA, Linear Regression, LSTM, Additive-ARIMA-LSTM, and Multiplicative-ARIMA-LSTM models, the Regression-LSTM model proposed has the highest prediction accuracy....
Elements in massive narrowband Internet of Things (NB-IoT) for 5G networks suffer severely from packet drops due to queue overflow. Active Queue Management (AQM) techniques help in maintaining queue length by dropping packets early, based on certain defined parameters. In this paper, we have proposed an AQM technique, called Aggressive Random Early Detection (AgRED) which, in comparison to previously used Random Early Detection (RED) and exponential RED technique, improves the overall end-to-end delay, throughput, and packet delivery ratio of the massive NB-IoT 5G network while using UDP. This improvement has been achieved due to a sigmoid function used by the AgRED technique, which aggressively and randomly drops the incoming packets preventing them from filling the queue. Because of the incorporation of the AgRED technique, the queue at different nodes will remain available throughout the operation of the network and the probability of delivering the packets will increase. We have analyzed and compared the performance of our proposed AgRED technique and have found that the performance gain for the proposed technique is higher than other techniques (RED and exponential RED) and passive queue management techniques (drop-tail and drop-head). The improvement in results is most significant in congested network deployment scenarios and provides improvements in massive Machine Type Communication, while also supporting ultra-low latency and reliable communication for 5G applications....
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