18331799. METHODS AND APPARATUS TO SLICE NETWORKS FOR WIRELESS SERVICES simplified abstract (Intel Corporation)

METHODS AND APPARATUS TO SLICE NETWORKS FOR WIRELESS SERVICES

Organization Name

Intel Corporation

Inventor(s)

Omid Semiari of Santa Clara CA (US)

Hosein Nikopour of San Jose CA (US)

Shilpa Talwar of Cupertino CA (US)

METHODS AND APPARATUS TO SLICE NETWORKS FOR WIRELESS SERVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18331799 titled 'METHODS AND APPARATUS TO SLICE NETWORKS FOR WIRELESS SERVICES

Simplified Explanation

The patent application describes a method for slicing networks for wireless services using an actor-critic neural network.

• The method involves predicting the quality of service for a network slice based on previous slicing decisions using a long short-term memory.
• The predicted quality of service is then compared with a target service level specification.
• The long short-term memory is updated based on the comparison, allowing for continuous improvement of the network slicing decisions.

Potential applications of this technology:

• This technology can be applied in wireless communication networks to optimize the allocation of network resources.
• It can be used to improve the quality of service for different network slices, such as prioritizing certain types of traffic or ensuring a specific level of performance for specific users or applications.

Problems solved by this technology:

• Network slicing is a complex task that requires making decisions on resource allocation and prioritization.
• This technology solves the problem of efficiently slicing networks by using a neural network to predict the quality of service and make informed decisions.

Benefits of this technology:

• By using a neural network, this technology can continuously learn and improve its slicing decisions based on previous experiences.
• It allows for more efficient allocation of network resources, leading to improved quality of service for different network slices.
• The technology can adapt to changing network conditions and user demands, ensuring optimal performance.

Original Abstract Submitted

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.