Microstrip band-stop filter based on double negative metamaterial

In this work, we present a novel miniature band stop filter based on double negative metamaterial, this circuit is designed on a low-cost substrate FR-4 of relative permittivity 4.4 and low tangential losses 0.002. The proposed filter has a compact and miniature size of 15 mm in length and 12mm in width without the 50 Ω feed lines. The resonator was studied and analyzed with a view to achieving a band-stop behavior around its resonant frequency. The band-stop characteristics are obtained by implementing the metamaterial resonator on the final structure. The obtained results show that this microstrip filter achieves fractional bandwidth of 40% at 2 GHz. Furthermore, excellent transmission quality and good attenuation are achieved. This filter is an adequate solution for global system for mobile communications (GSM).

Models and Methods for Improving Performance of Wireless Computer Networks Based on the Decomposition of Lower Layers of the OSI Reference Model

The paper discusses models and methods for improving the performance of wireless computer networks built based on the decomposition of the lower levels of the OSI reference model. A method to improve the performance of networks is suggested, which functionally combines the physical and network layers, which improves its efficiency in marginal reception areas almost twice. A model of the block diagram of a device for improving data transmission quality in marginal reception areas or those with insufficient noise immunity is developed based on the so-called communication quality status monitoring, as well as a model of the block diagram of a wireless adaptive capacity reallocation router based on dynamic channels capacity reallocation, which allows adequately reallocating IS resources depending on traffic and user priority. Keywords— Bluetooth, FIFO discipline, IEEE 802.11, OSI/ISO reference model, wireless computer networks.

Research on Application of Wireless Bridge Technology in the Smart Grid

The construction of smart grid, in the meet of communication network core layer must have the strong bearing capacity and the strong network frame, also requires the access layer have the wide variety and flexible edge access ability. In this article, in accordance with the technical features of the smart grid communication network, combined with the Global Energy Interconnection to the requirement of all kinds of communication. The wireless bridge system based on the IEEE 802.11 series protocol as flexible edge access is applied to the smart grid communications, to forward the power wireless bridge structure design and the bridge monitoring management platform design and safety protection design. The use of a wireless bridge will increase the transmission quality of signal, distance and the safety of the transmission. In this article, the wireless bridge in the application of the smart grid electric power communication network has a role in promoting, has a guiding significance to the construction of the smart grid communication.

Effect of Tooth Surface Modification on Dynamic Transmission Efficiency of Double Helical Gear Trains

To analyse the influence mechanism of vibration loads on dynamic transmission efficiency (DTEF) of double helical gear trains (DHGT), a calculation method of DTEF which takes into consideration the real-time dynamic loads is proposed from the perspective of improving both efficiency and precision. The average DTEF is taken as the dynamic objective function of optimization for three-dimensional modification technology of tooth surface. An engineering example is given in form of numerical simulation, which proves that the average DTEF with the consideration of dynamic loads is obviously lower than the static transmission efficiency (STEF), especially for the resonance speed region. The results also show that the DTEF after 3-D modification is significantly improved, owing to the improvement of meshing state of tooth surface. The comparison of DTEF with different loads and speeds via simulation and experiment furtherly demonstrates the credibility of this theoretical perspectives. This study gives the explanation on the importance of DTEF in determination of driveline parameters and estimation of transmission quality of DHGT. The developed method for DTEF analysis is practical in engineering, and establishes a reliable foundation for further research on design of high-quality double helical gear trains.

Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data

Applying machine learning algorithms for assessing the transmission quality in optical networks is associated with substantial challenges. Datasets that could provide training instances tend to be small and heavily imbalanced. This requires applying imbalanced compensation techniques when using binary classification algorithms, but it also makes one-class classification, learning only from instances of the majority class, a noteworthy alternative. This work examines the utility of both these approaches using a real dataset from a Dense Wavelength Division Multiplexing network operator, gathered through the network control plane. The dataset is indeed of a very small size and contains very few examples of `bad” paths that do not deliver the required level of transmission quality. Two binary classification algorithms, random forest and extreme gradient boosting, are used in combination with two imbalance handling methods, instance weighting and synthetic minority class instance generation. Their predictive performance is compared with that of four one-class classification algorithms: One-class SVM, one-class naive Bayes classifier, isolation forest, and maximum entropy modeling. The one-class approach turns out to be clearly superior, particularly with respect to the level of classification precision, making it possible to obtain more practically useful models.

Intelligent Control Optimization of Remote Transmission Quality of Communication Signals Based on 5G Network

With the rapid development of the information age, mobile communication networks have gradually entered people’s lives. The emergence of 5G networks has accelerated the convenience of people’s communication and contact, and has become an advanced information technology that has been widely used in various fields. Although the emergence of 5G networks is beneficial, the remote transmission quality of communication signals has also caused many problems. The optimization of remote transmission quality can effectively improve the operational stability of the communication network. There are many ways to optimize the transmission quality of communication signals. For example, when signal interference needs to be reduced, calculate the average value of signals in various places, set the interference reduction threshold function, and complete the remote transmission quality optimization of communication signals. The existing method is to use microblogs with hard and soft thresholds to decompose the signal quality through multiple scales to provide interference reduction thresholds, but ignore the calculation of the average value of the subband signals, so the signal transmission quality is optimized The effect is not satisfactory. It is recommended to reduce the interference in the network communication process based on the anti-window. First, the input communication signal is Pulley converted, the frequency domain interference detection is performed on the communication signal, a low-pass prototype filter is formed, the average value of the signal in each place is calculated, the interference reduction threshold is set, and the network communication process is completed. The weakening of interference realizes the optimization of transmission quality. This article conducts research and discussion on the optimization of the long-distance transmission quality of the communication signal of the 5G network. Experimental research results show that by demonstrating the optimization of the quality of the 5G communication signal transmission process, these demonstrations can ensure the quality of the communication signal, and people’s demand for the network is already indispensable.

Elman-Based Secure Data Transmission Quality Prediction for Complex IoT Networks

The information age has brought earth-shaking changes. For interconnection of all things, the data transmission has widely employed the Internet of Things (IoT). The IoT transmission faces complex environments. The secure data transmission is very important for mobile IoT networks. The secure data transmission quality prediction is investigated for mobile IoT networks. The probability of strictly positive secrecy capacity (SPSC) is used to evaluate the secure data transmission quality, and the expressions are first derived. Then, employing Elman network, a secure data transmission quality intelligent prediction approach is proposed. The extensive simulations are run to evaluate the proposed approach. The simulation results show that the Elman-based approach can achieve a higher quality precision than other methods. The Elman-based approach also can achieve a lower time complexity.