This issue can be viewed as optimizing three variables (transmit power, channel, and frequency band) across N access points, which is a fairly straightforward optimization algorithm.
Further analytics enables the identification of high-risk subscribers who would benefit from additional hardware such as range boosters within their premises, as well as high-value customers who are prime targets for new products or services.
Using data derived from connected devices, it is possible to store and analyze moving patterns within the WiFi network, which can be of special interest for infrastructure planning as well as marketing and sales related campaigns.
Overall, the data derived from TR-069 can be utilized to optimize the subscriber experience in multiple ways.
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