In the presented article, the results of the research of the spreading spectrum technology are given and its use in communication systems based on the data transmission over power lines is considered. One of the currently existing problems of data transmission systems over power lines is the absence of a compromise solution in ensuring the required data transmission rate and communication range. Ready-made solutions existing on the market provide either high data transmission rates over short distances or a communication long-range with rates not exceeding several tens of kilobits per second. The purpose of the article is to research the application of spread spectrum technology in data transmission systems over power lines. In the course of the experiment, it was found that the joint use of OFDM technology and the spread spectrum technology makes it possible to form a solution that provides communication over power lines over a distance of tens of meters with a data transmission rate of at least 5 Mbps. This article compares the TP-Link 500 Mbps modem for broadband high-speed data transmission, and the NWEPLC-1-G3M modem for narrowband low-speed data transmission. The results of modeling a communication system with different lengths and types of spreading sequences for BPSK and QPSK modulations are presented. An assessment of the interference protection was carried out. The results of an experimental research of the spectrum spreading technology on a model of a data transmission system over power lines in terms of range and transmission rate in comparison with existing devices on the market are presented. The results obtained can be used in the design of communication systems over power lines.
The pace of development of telecommunication technologies is increasing every year. More and more devices are using wireless technologies for transmitting information. This increases the pressure on the network, which leads to an increase in the delay in the transmission of data and a decrease in the speed of transmission of information. The development of telecommunications technologies has also affected Internet traffic, as well as the development of the automated industrial production sector (communication with industrial robots, i.e., digitization of production and development of smart factories), the health sector (remote health care), the transport industry (intelligent transport systems, high-speed trains) and the energy sector (intelligent networks). Together, this increases the re-quirements for speed, low delay and reliability of transmission. The evolution of data transmission systems from 4G to 5G is designed to meet the ever-increasing demands of wireless networks. However, one of the current challenges in research on fifth generation networks is the high cost of equipment needed to research new protocols, fine-tune algorithms, optimize network architecture, and organize network topologies. The application of new network solutions is the main obstacle in the study of the radio channel for most lab oratories and research centers. In this regard, the transition from field experiments, which require large economic costs and time resources, to simulation modeling using the NS-3 network simulator is a cost-effective solution in the study of 5G networks. This article presents the features of traffic and the results of modeling the data transmission of ultra-reliable low latency traffic in 5G networks (URLLC) using the NS-3 network simulator.
The growing demand for broadband Internet services is forcing scientists around the world to seek and develop new telecommunication technologies. With the transition from the fourth generation to the fifth generation wireless communication systems, one of these technologies is beamforming. The need for this technology was caused by the use of millimeter waves in data transmission. This frequency range is characterized by heavy path loss. The beamforming technology could compensate for this significant drawback. This paper discusses basic beamforming schemes and proposes a model implemented on the basis of QuaDRiGa. The model implements a MIMO channel using symmetrical antenna arrays. In addition, the methods for calculating the antenna weight coefficients based on the channel matrix are compared. The first well-known method is based on the addition of cluster responses to calculate the coefficients. The proposed one uses the singular value decomposition of the channel matrix into clusters to take into account the most correlated information between all clusters when calculating the antenna coefficients. According to the research results, the proposed method for calculating the antenna coefficients allows an increase in the SNR/SINR level by 8–10 dB on the receiving side in the case of analog beamforming with a known channel matrix.
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