Abstract
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.
Highlights
With the popularity of data services and smart terminals, 4G networks fails to satisfy people’s requirements in terms of capacity, speed, bearer, and spectrum
This paper proposes a research scheme for signal coverage detection through distributed sensor networks based on ad hoc network technology, and the main contributions of our work are as follows: 1
Distributed sensor nodes are randomly deployed to collect the received signal strength indicator (RSSI) of 5G communication base station, and the collected data are pre-processed by Gaussian filtering, which reduces the influence of error on the performance of the algorithm
Summary
With the popularity of data services and smart terminals, 4G networks fails to satisfy people’s requirements in terms of capacity, speed, bearer, and spectrum. Compared with 4G technology, 5G technology has greatly improved data transmission rates and spectrum resource utilization, and the user experience, wireless signal coverage, and signal transmission stability have been significantly improved. It has the characteristics of low latency, low power consumption, security, stability, and reliability [1,2]. The data collected by the sensor node and the data estimated by the interpolation point are processed comprehensively, the coverage area situation of the 5G mobile communication network is generated, realizing the reproducible real-time detection of the wireless network coverage.
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