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SamsungGranted patentNetworks & wirelessInterest 6/10

Samsung patents smart network balancing using machine learning

This patent describes a method for balancing data traffic across a mobile network by using a neural network to learn the best connection choices. It tracks how devices interact with the network over time and adjusts the policy to decide which base station each device should connect to for optimal performance.

Why it mattersThis could lead to smoother mobile data speeds by dynamically distributing traffic load more efficiently across cell towers.

In the filing’s own words

A method includes obtaining at least one policy parameter of a neural network corresponding to a load balancing policy, receiving trajectories for each mobile device in a plurality of mobile devices of the wireless network, each trajectory corresponding to a sequence of states of a respective mobile device, wherein the sequence of states is generated based on a continuous interaction of an existing policy of the respective mobile device with the wireless network, estimating advantage functions for each mobile device in the plurality of mobile devices based on the trajectories for each respective mobile device, and updating the at least one policy parameter based on the estimated advantage functions such that the load balancing policy is determined based on states of each mobile device in the plurality of mobile devices.

What exactly they claim (claim 1)

1. A method comprising: obtaining at least one policy parameter of a neural network corresponding to a load balancing policy; receiving trajectories for each mobile device in a plurality of mobile devices of the wireless network, each trajectory corresponding to a sequence of states, actions and rewards for the actions of a respective mobile device, wherein the sequence of states is generated based on a continuous interaction of an existing policy of the respective mobile device with the wireless network, the actions indicating a base station to which the mobile device should connect for a request and the rewards being received after the actions guide a learning process; estimating advantage functions for each mobile device in the plurality of mobile devices based on the trajectories for each respective mobile device; and updating the at least one policy parameter based on the estimated advantage functions such that the load balancing policy is determined based on states of each mobile device in the plurality of mobile devices, wherein the advantage functions are determined based on a difference between a cost-to-go function and a value function, and wherein the sequence of states of each trajectory corresponds to states over a predetermined number of time steps for each mobile device of the plurality of mobile devices.

Facts

Company
Samsung (SAMSUNG ELECTRONICS CO., LTD.)
Official title
Coordinated load balancing in mobile edge computing network
Patent number
US12732864B2
Application number
17965294
Filed
Oct 13, 2022
Granted
Sep 8, 2026
Inventors
7
Claims
15

Classified under

H04W 28/0925 Electricity & electronicsH04W 28/0226 Electricity & electronics

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.