scholarly journals Dynamic Model of Nonlinear Electromagnetic Interactions in the Group of Radio Electronic Means of the 5G-NewRadio Mobile Communication Network

2020 ◽  
pp. 16-31
Author(s):  
Kostiantyn Sielіvanov ◽  
Bohdan Muliar ◽  
Yulia Koliadenko ◽  
Mykola Moskalets ◽  
Oleh Bondarenko

The paper proposes a dynamic model of multiple nonlinear electromagnetic interactions when using the radio resource of a group of radio-electronic means of the 5G-NewRadio mobile communication network. The model describes the electromagnetic environment of multiple nonlinear interactions of a group of electronic means in the state space based on n-elements of a complex system, which considers the nature of interelement connections and phase states, taking into account the intensity of its elements. The analysis of phase states of a grouping of 5G-NewRadio electronic means depending on the intensity of nonlinear interactions of its elements at which the network will function without deterioration of qualitative indicators in the conditions of optimum distribution of a radio resource is carried out. The dynamics of nonequilibrium states of groups of 5G-NewRadio mobile networks at different values of the intensity of interactions of electronic means, the cumulative nature of which is displayed by the normalized value of the signal/(interference+noise) ratio, is demonstrated. It is shown that the nonequilibrium state of the 5G-NewRadio mobile communication system occurs at a normalized value of the interaction intensity greater than 1.4. The article results show that with the help of the proposed mathematical model, which demonstrates the dynamics of multiple electromagnetic nonlinear interactions of electronic means of grouping at different parameters and the nature of the intensity of their interactions, it is possible to analyze the state of 5G-NewRadio network in the future.

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4390
Author(s):  
Tingli Xiang ◽  
Hongjun Wang

In order to overcome the limitations of traditional road test methods in 5G mobile communication network signal coverage detection, a signal coverage detection algorithm based on distributed sensor network for 5G mobile communication network is proposed. First, the received signal strength of the communication base station is collected and pre-processed by randomly deploying distributed sensor nodes. Then, the neural network objective function is modified by using the variogram function, and the initial weight coefficient of the neural network is optimized by using the improved particle swarm optimization algorithm. Next, the trained network model is used to interpolate the perceptual blind zone. Finally, the sensor node sampling data and the interpolation estimation result are combined to generate an effective coverage of the 5G mobile communication network signal. Simulation results indicate that the proposed algorithm can detect the real situation of 5G mobile communication network signal coverage better than other algorithms, and has certain feasibility and application prospects.


Sign in / Sign up

Export Citation Format

Share Document