АВТОМАТИЗИРОВАННАЯ СИСТЕМА КОНТРОЛЯ ЗА НАЗНАЧЕНИЕМ РАДИОЧАСТОТ НА ОСНОВЕ РИСК-ОРИЕНТИРОВАННОГО ПОДХОДА ПРИ ПЛАНИРОВАНИИ РАДИОСВЯЗИ В ПОДРАЗДЕЛЕНИЯХ РОБОТОТЕХНИЧЕСКИХ КОМПЛЕКСОВ ВОЕННОГО НАЗНАЧЕНИЯ

This paper proposed the lightweight QoE driven adaptive invulnerability wireless communication control method, including the wireless communication terminal equipment with invulnerability antenna. According to the quality of wireless network channel quality, the lightweight QoE driven scheme was developed. According to user needs, the quality of the network, survivable ability of wireless communication terminal and wireless communication survivability requirements, we proposed three matching rules by considering the wireless hop number, data size and life cycle. The experiments demonstrated that the proposed scheme can optimize wireless communication terminal equipment and wireless opportunistic communication network construction, guarantee the user experience quality and improve wireless communication network survivability.

A wireless communication network using an embedded microprocessor is a communication network method that uses radio waves to transmit the sound, text, pictures, data, and other information that the sender needs to transmit to the receiver through space and ground. With the rapid development of world science and technology, the application of radio communication network technology and international exchanges and cooperation have become increasingly active. In the era of radio communication networks, through radio communication English and radio communication English translation, we can receive real-time information about the development of radio communication technology. It can be seen that radio communication English plays an important role in promoting international radio technology exchanges and cooperation. Therefore, more and more researches on the structural features and translation skills of radio communication English have appeared in the academic circles. This article is aimed at studying the structural features and translation skills of English in the era of radio communication networks. The article first briefly introduces radio communication and then introduces the structural features of radio communication English, including lexical features and syntactic features. It also introduced two common radio communication spectrum detection algorithms. Finally, it explores the translation skills of radio communication English based on case analysis and provides some method reference for radio communication English translation.

Base station location selection and network optimization are critical to improving the performance of wireless communication networks in terms of latency reduction. To this end, the article proposes leveraging a convolutional neural network (CNN) to improve the accuracy of base station location selection and network latency reduction. The CNN method, based on a three-dimensional representation including signal strength data set, network topology data set, and transmission path data set, is used to select base station location and optimize the multihop relay network for latency reduction. The article presents a following method: location selection and network optimization for the wireless communication network. First, it collects the experimental data set of base station location selection and network optimization, and then uses the training data to train the CNN model to extract features. Once the training is done, the article further optimizes the network parameters and configurations, and ultimately obtains the optimal base station location and network configuration while minimizing network latency. As a result, simulation results indicate that the CNN model has remarkable performance in base station location selection, as well as in network optimization. In summary, the feature extraction and processing ability of CNN are powerful, enabling it to effectively capture factors leading to delay, hence improving the performance of base station location selection and network optimization. The article also demonstrates that the CNN model can be adjusted according to different environments and scenario settings through dynamic tuning.

In order to improve the effective ability of sports, it is necessary to carry out sports timing training, construct the wireless communication network of sports timing training, and propose a sports timing training method based on wireless communication. A training model of motion timing in wireless communication network based on spatial interval equilibrium regulation and piecewise load distribution is constructed. The wireless communication transmission channel model of motion timing training is constructed, the channel adaptive equilibrium allocation of motion timing training in wireless communication network is carried out by using spatial equilibrium scheduling method, the orthogonal matching signal tracking model of motion timing training is established. Combined with the load block equilibrium allocation method of multiplex motion timing training, the optimal allocation of motion timing training is carried out. the effectiveness of motion timing training information transmission in wireless communication network is characterized by the number of endpoint paths, and the anti-interference ability of communication is improved by combining the interference suppression method of training environment. The simulation results show that the output quality of motion timing training in wireless communication network is high and the bit error rate (BER) is low, which improves the balanced distribution ability of motion timing training load in wireless communication network.

Wireless personal communication network is easily affected by intrusion data in the communication process, resulting in the inability to ensure the security of personal information in wireless communication. Therefore, this paper proposes a malicious intrusion data mining algorithm based on legitimate big data in wireless personal communication networks. The clustering algorithm is used to iteratively obtain the central point of malicious intrusion data and determine its expected membership. The noise in malicious intrusion data is denoised by objective function, and the membership degree of communication data is calculated. The change factor of the neighborhood center of gravity of malicious intrusion data in wireless personal communication network is determined, the similarity between the characteristics of malicious intrusion data by using the Markov distance was determined, and the malicious intrusion data mining of wireless personal communication network supported by legal big data was completed. The experimental results show that the accuracy of mining malicious data is high and the mining time is short.

Subject and Purpose. One of today’s challenges in contemporary radio physics is exploring the terahertz frequency range which holds immense promise for revolutionary new applications in part at the level of wireless communication systems. A substantial frequency capacity of the range theoretically permits a usable frequency band expansion to a hundred terahertz. The data transfer rate can increase by many orders of magnitude, surpassing the capabilities of current networks. An urgent research priority involves assessing the potential growth rates of wireless communication network resources. The immediate purpose of this paper is to suggest simple mathematical models developed to predict the growth rates of wireless (cellular) communication network resources over the next 20 to 25 years. Methods and Methodology. The research problem receives analytical consideration, systems analysis, and mathematical modeling of the evolutionary pace of wireless communication in new generations. Results. Using average data on the parameters of 1G to 5G communication networks and 6G in development, we have built regression models representative of the evolution of information transfer rates and data transmission durations until the year 2050. Equations have been derived describing the evolution of the main parameters of wireless communications. The information rate increase since 1979 is shown to obey the instability equation, wherein the main parameter of the communication system exhibits exponential growth. Models featuring accelerated evolution have been proposed along with more realistic, slowed evolution models considering the saturation effect and a substantial slowdown in the information transfer rates. The saturation effect is associated with the exponential growth of the characteristic evolution time and determined by the data rate growth slowdown, with fundamental, conditionally fundamental, and scientific-technical constraints considered. It has been substantiated that 8G is not expected sooner than 2040—2045 and will likely terminate the wireless communication evolution, with a maximum information transfer rate of 300 to 1000 Tbit/s in the terahertz range. Conclusions. The mathematical models developed by the authors are simple and capable of predicting the growth dynamics of wireless communication network resources.

In the context of the rapid development of wireless communication and information technology, the network has greatly shortened the actual spatial distances around the world. Multimedia technology and wireless communication, as an important branch of information technology, can better connect people and the network, exploding very powerful energy in the field of education. This research analyzes the cultural communication function of wireless communication and multimedia network technology in university teaching, especially English teaching. At this stage, almost all universities in our country are using multimedia technology to assist teaching, and even many teachers believe that multimedia has become a necessary foundation for the in‐depth development of the “teaching‐learning” interaction in colleges and universities in the information age. The demand for English talents in the Chinese labor market is dominated by application‐oriented talents, but the purpose of English teaching in many schools is still in the reality of traditional research‐based teaching. It is concluded that the root of this contradiction lies in the disconnection between the cultivation of talents in universities and the needs of society. The experimental results show that if the advantages of wireless communication and multimedia network technology can be fully utilized, the teaching efficiency of cultural communication in college English teaching can be increased by 22%. This article also analyzes, discusses, and summarizes the methods and approaches of cultural dissemination to enrich academic research results.

Introduction/purpose: This paper provides an overview of Unmanned Aerial Vehicles (UAVs) from their early days to their integration into modern wireless networks. Methods: It analyzes, synthesizes and compares the UAVs development technologies throughout their history with significant aspects of their integration in wireless communication networks. Results: Important aspects of wireless communications as one of the key technologies for UAVs are presented. Next, energy efficiency as a research path for UAVs is considered. The paper also emphasizes the present state in this area as well as what the future of UAVs in communications will be. Conclusion: UAVs are important not only for widespread military usage in various combat operations and warfare environment, but also for other purposes such as their integration in 5G networks.

The rapid growth of wireless communication systems and devices has increased global energy consumption in wireless communication networks. Therefore, wireless communication technologies are advancing towards the development of fifth-generation wireless communication systems and beyond, i.e., towards the development of sixth-generation wireless communication systems. It is important that the energy efficiency of wireless communication systems considered a significant parameter along with data rate, delay and reliability. Green wireless communication systems aim to reduce the power consumption of wireless communication systems minimize carbon emissions and make wireless communication systems environmentally sustainable. This paper presents a comprehensive review of sustainable wireless communication systems and energy-efficient protocols for green wireless communication systems. This study discusses various architectural strategies such as energy-efficient base stations, heterogeneous and ultra-dense networks, cloud radio access networks, adaptive networks, renewable energy and their role enables wireless networks to modify their behavior according to the nature of the data and availability of resources. Further, the paper discusses the role of sustainable wireless protocols in all layers of wireless communication, where techniques like power control, duty cycle, energy-efficient routing and transport protocols are playing a significant role in removing the unnecessary communication and utilizing resources efficiently. It also discusses enabling technologies that can be utilized in energy-efficient network operation including energy harvesting, cognitive radio, artificial intelligence, edge computing and network virtualization. Moreover, some of the major challenges in energy-efficient wireless communication including decisions, complexity, security, cost, and regulatory issues, are addressed. This study provides an sustainable wireless communication can be achieved based on recent developments and existing research gaps in wireless communication particularly in future 5G and 6G networks.

In recent years, with the increase of network users, people's requirements for communication quality have been gradually improved. In order to increase the coverage of wireless communication(WC) network and improve the efficiency of using communication network, this paper improves the quality of WC by optimizing the base station location, and analyzes the optimal location of base station construction by using the location-seeking characteristics of improved particle swarm optimization algorithm. In this regard, based on the improved particle swarm algorithm, the optimal network coverage optimization goal is achieved by designing the base station location optimization scheme with the least number of network nodes and the least energy consumption. The experimental results show that the network energy consumption is smaller and the network survival time is more after the original PSO algorithm and the improved PSO algorithm compared to the unoptimized base station location, and the improved PSO algorithm is more effective than the original PSO algorithm.

Wireless communication is ubiquitous in people’s daily life. As people’s requirements for wireless communication continue to increase, how to improve system performance has become a core issue that communication researchers pay attention to. Wireless cooperative communication is considered to be a key technology in the future communication system because it can provide better communication quality, higher system capacity, wider communication coverage, richer services, and high spectrum utilization efficiency. The proposed network coding can effectively eliminate the transmission bottleneck problem faced by wireless cooperative communication. The development of audio and video communication coding technology has increased the demand for audio and video communication services. The goal of audio and video coding is shifting from traditional storage applications to network transmission. Therefore, the audio and video coding technology for network transmission is being affected by academia and industry. The purpose of this paper is to study the communication audio and video codec methods in wireless cooperative communication networks and to understand the development status of audio and video codec by reading a large number of related documents. On the basis of the problem, relevant experiments are designed to conduct in-depth research. Experimental results show that this scheme can simplify the implementation of scalable coding, improve the coding efficiency of the enhancement layer, and improve the quality of the reconstructed video when the audio and video streams are truncated.

In this paper, we provide a holistic overview of the aspect of electromagnetic radiation (EMR) and its efficient control in wireless communication networks. Especially, we focus on the emerging technology of wireless power transfer (WPT). Our global perspective is to suggest methods for the effective control of EMR while keeping at high levels the QoS experienced by users as well as the charging efficiency of WPT. First, we provide formal definitions of EMR in wireless communications and propose related performance metrics and EMR evaluations in wireless communication networks. Then, we focus on EMR control in efficient wireless power transfer, under different WPT models. For the well-known scalar model, we assume finite energy reserves and batteries, and introduce the low radiation efficient charging problem. For this problem, we identify its computational complexity and provide efficient algorithms and heuristics. A vectorial model of WPT is then employed, allowing a more precise management of radiation, via directly exploiting interesting super-additive and cancellative phenomena of received power; we provide algorithms which achieve satisfactory tradeoffs of charging efficiency and radiation. Then, we present a more futuristic model and the method of peer-to-peer wireless power transfer where no strong, central charger stations are used, thus keeping radiation at almost zero levels. Another method of controlling EMR in the case of mobile nodes is adapting the charger change in a dynamic, on-line way so as to avoid unnecessarily large fixed changing ranges. Finally, we discuss some future challenges and related research directions, toward efficiently combining high WPT provisioning and low EMR. Such directions include the effective management of mobility in the network, the use of diverse WPT signal phase-configuration as well as efficient chargers’ scheduling strategies.

Modern wireless communication systems are limited to line-of-sight (LoS) links due to high path loss and blockage issues in millimeter wave (5G) and beyond in optical/visible light communication networks. This letter proposes utilizing (optical) reconfigurable intelligent surface (RIS)-equipped UAV (RISeUAV) to support indirect aerial LoS (ALoS) links for mobile vehicles that deliver critical metropolitan emergency/security services. The RISeUAV performs as an aerial transponder and reflects optical and wireless communication signals in dense urban areas. The navigation problem of the RISeUAV is nontrivial where RISeUAV should be autonomously navigated through an energy-efficient obstacle-free path. Notably, the flight altitude should be relatively low to ensure the quality of ALoS service while the maximum possible ALoS links for vehicles are provided in an obstructed environment. However, designing the flight path for rendering valid ALoS service is an NP-hard problem that is not feasible in real-time for autonomous navigation. We model the RISeUAV navigation as an optimization problem and propose an efficient technique to make the problem computationally tractable in real-time using Benders’ decomposition method and sequential convex programming. Simulation results validate the effectiveness of the proposed method.

The mobile phone industry has experienced an explosive growth in recent years. The emerging markets such as China, India, and Brazil contribute this growth. In China, the number of mobile subscribers has already surpassed the number of fixed landline phone subscribers. In Korea and Japan, there is an explosion of mobile and wireless services. The United States are joining too and there were 207.9 million subscribers in 2005 (CTIA, 2006). Mobile e-commerce (m-commerce) makes business mobility a reality; mobile users could access the Internet at any time, from anywhere with handheld devices or laptop. A 3G enabled smart phone enables you to access a wide range of services anywhere and anytime. For example, you can send and receive e-mail, make cinema and restaurant reservations and pay for them, check real train time, look at digital maps, download music and games, and also browse the Internet. Mobile and wireless services are ranging from mobile communication networks to wireless local area networks. The service provided by mobile communication systems has achieved huge success as mobile and wireless communication technologies are converging at fast speed. We will study mobile and wireless communication in relation to mobile phones. Hence, m-commerce is defined as electronic commerce carried out in handheld devices such as smart phone through mobile and wireless communication network.

The topic Internet of Things (IoT) has been growing rapidly, parallel with the advancement of Industry 4.0. In the wireless communication network, which is a subbranch of IoT, LoRa devices provide compelling features for IoT applications such as greater range compared to cellular networks, secure data transmission, and low power consumption. Using the two vital indicators, namely received signal strength indicator (RSSI) and packet reception rate (PRR), this study evaluated the reliability of the LoRa communication network in a multistorey building. Two LoRa devices are deployed as a receiver and transmitter, and the LoRa performances are evaluated on each floor. A packet reception rate of 60% was observed when the LoRa transmitter was placed at placement O and N. Findings also show that the dynamic environment has more effect on the RSSI compared to PRR.KeywordsLoraLoraWANRSSIInternet of thing (IoT)Wireless communication