Configuring antenna patterns for broadcast control channels of the McWiLL network based on machine learning

Annotation. A methodology and a program for setting up directional patterns of multi-element antenna systems of the base stations of the McWiLL communication network for the organization of broadcast control channels has been developed. The machine learning technique is applied, taking into account the technological feature of the system associated with the need to control diagrams by adjusting only the phases of signals transmitted in antenna channels. It has been established that the proposed methodology and the directional patterns obtained on its basis make it possible to reduce the number of base stations serving the allocated territory several times. Particularly significant results are observed for territories with complex terrain and areas of high local contrast density of subscribers. The example of Novorossiysk shows how with the help of two BS it is possible to provide coverage of 85% of the urban area.

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