Abstract
Abstract With the development of technology, the 5th-generation mobile communication technology is becoming more and more mature, and the LTE wireless network is in the peak of application. Although the current wireless propagation model has good adaptability, the prediction accuracy of signal propagation in various specific environments is low; therefore, the wireless propagation model needs to be corrected. The LTE wireless network propagation model was optimised by using the neural network algorithm and corrected by combining with the actual geomorphic characteristics of the experimental area so as to improve the accuracy of simulation prediction of the signal in the service coverage area by the propagation model and provide reference for wireless network planning.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.