Management of persistent network slices by a distributed learning system in a 5g or other next generation wireless network

Abstract

The technologies described herein are generally directed to facilitating the allocation, scheduling, and management of network slice resources. According to an embodiment, a system can comprise a processor and a memory that can store executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include selecting a resource configuration for a network slice based on characteristics of a user device and historical data related to the user device, resulting in a selected resource configuration. The operations can further include facilitating communicating resource configuration data representative of the selected resource configuration for the network slice to a network device for allocation to the user device connected to the network device. The operations can further include facilitating allocating resources to the network slice in accordance with the selected resource configuration.

What is claimed is: 
     
         1 . A method, comprising:
 selecting, by first network equipment comprising a processor, a resource configuration for a network slice based on characteristics of second network equipment and historical data related to the second network equipment, resulting in a selected resource configuration;   communicating, by the first network equipment, resource configuration data representative of the selected resource configuration for the network slice to the second network equipment for allocation to the second network equipment connected to the first network equipment; and   allocating, by the first network equipment, resources to the network slice in accordance with the selected resource configuration.   
     
     
         2 . The method of  claim 1 , wherein the historical data related to the second network equipment comprises data of a network node associated with the second network equipment. 
     
     
         3 . The method of  claim 1 , wherein the historical data related to the second network equipment comprises historical requests of the second network equipment. 
     
     
         4 . The method of  claim 1 , wherein the historical data related to the second network equipment comprises a template of resource configuration generated based on usage by third network equipment, comprising the second network equipment. 
     
     
         5 . The method of  claim 1 , wherein selecting the resource configuration for the network slice is further based on at least one of a prediction of a future state of the second network equipment, or information corresponding to a current state of the second network equipment. 
     
     
         6 . The method of  claim 1 , wherein the historical data related to the second network equipment is stored in a persistent, tamper resistant data structure stored on storage equipment. 
     
     
         7 . The method of  claim 6 , wherein the storage equipment comprises blockchain node equipment, and wherein the historical data related to the second network equipment is stored by appending an information block corresponding to the historical data related to the second network equipment to the persistent, tamper-resistant data structure. 
     
     
         8 . The method of  claim 7 , wherein the appending of the information block comprises communicating a request to the blockchain node equipment to generate the information block based on previous blocks in a blockchain ledger. 
     
     
         9 . The method of  claim 8 , wherein the operations further comprise storing the selected resource configuration in the blockchain ledger. 
     
     
         10 . A user equipment, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate the performance of operations, comprising:
 operating according to a context; 
 utilizing first resources of a first network slice allocated in accordance with an allocation protocol associated with network devices of a provider network and a resource configuration generated based on characteristics of the user equipment, the context, and historical data related to the user equipment, and 
 communicating with a network device of the network devices of the provider network. 
   
     
     
         11 . The user equipment of  claim 10 , wherein the historical data is stored in a storage device in a persistent, tamper resistant data structure. 
     
     
         12 . The user equipment of  claim 11 , wherein the persistent, tamper-resistant data structure comprises a blockchain data structure. 
     
     
         13 . The user equipment of  claim 10 , wherein the first network slice was allocated based on a machine learning process configured based on the characteristics of the user equipment and the historical data related to the user equipment. 
     
     
         14 . The user equipment of  claim 13 , wherein the machine learning process employs a neural network trained based on the characteristics of the user equipment and the historical data related to the user equipment. 
     
     
         15 . The user equipment of  claim 14 , wherein the neural network comprises a long short-term memory neural network. 
     
     
         16 . The user equipment of  claim 10 , wherein the operations further comprise, utilizing second resources of a second network slice, and wherein the second resources of the second network slice incorporate resources of the first network slice. 
     
     
         17 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of network node equipment, facilitate performance of operations, comprising:
 operating according to a context;   utilizing first resources of a network resource slice allocated in accordance with an allocation protocol associated with the network node equipment of a provider network and a resource configuration generated based on characteristics of the network node equipment, the context, and historical data related to the network node equipment; and   communicating with resource allocation equipment of the provider network.   
     
     
         18 . The non-transitory machine-readable medium of  claim 17 , wherein the historical data related to the network node equipment was stored in a persistent, tamper resistant data structure stored on storage equipment. 
     
     
         19 . The non-transitory machine-readable medium of  claim 18 , wherein the storage equipment comprised blockchain node equipment, and wherein the historical data related to the network node equipment was stored by appending an information block corresponding to the historical data related to the network node equipment to the persistent, tamper-resistant data structure. 
     
     
         20 . The non-transitory machine-readable medium of  claim 19 , wherein the appending of the information block comprises communicating a request to the blockchain node equipment to generate the information block based on previous blocks in a blockchain ledger.