Methods and apparatus to slice networks for wireless services
AssigneeIntel Corporation
InventorsOmid Semiari, Hosein Nikopour, Shilpa Talwar
Life of this patent
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Abstract
Systems, apparatus, articles of manufacture, and methods are disclosed to slice networks for wireless services. Example apparatus are to implement an actor-critic neural network to predict a quality of service metric for a network slice based on a long short-term memory representative of one or more prior slicing decisions, compare the quality of service metric with a target service level specification, and update the long short-term memory based on the comparison.
Claims20
An apparatus comprising:
- interface circuitry;
- instructions;
- and
- programmable circuitry to at least one of instantiate or execute the instructions to:
- implement an actor-critic neural network to predict a quality of service metric for a network slice based on a long short-term memory representative of one or more prior slicing decisions;
- compare the quality of service metric with a target service level specification;
- and
- update the long short-term memory based on the comparison.
A non-transitory machine readable storage medium comprising instructions to cause programmable circuitry to at least:
- execute an actor-critic neural network to predict a quality of service metric for a network slice based on a long short-term memory representative of one or more prior slicing decisions;
- generate a slicing decision for the network slice based on a comparison of the quality of service metric with a target service level specification;
- and
- update the long short-term memory based on the comparison.
A method comprising:
- determining, by executing an instruction with programmable circuitry, a quality of service metric for a network slice based on a long short-term memory of an actor-critic neural network, the long short-term memory representative of one or more prior slicing decisions;
- outputting a slicing decision for the network slice based on a comparison of the quality of service metric with a target service level specification;
- and
- updating the long short-term memory based on the slicing decision.
Dependencies are inferred from the claim text.