The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Disclosed is a method of fault recovery in a multi-hop network having a plurality of nodes, defining a route, comprising the steps of: determining that a fault exists between two of the plurality of nodes (B, C); performing a hierarchical fault recovery process.

Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

An information transmission method includes: receiving, by a network element selector from a user equipment (UE), a first message including identification information of the UE; determining, based on the identification information of the UE, a user group to which the UE belongs; determining a controller corresponding to the user group; and receiving and sending a further message to the controller.

Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

The present disclosure relates to a communication technique of fusing a 5G communication system for supporting higher data transmission rate beyond a 4G system with an IoT technology and a system thereof, and provides an intelligent service based on the 5G communication technology and the IoT related technology. A method performed by an access network entity in a wireless communication system includes receiving, from a terminal in the wireless communication system, a first message including first information for identifying an AMF, the first information including an AMF set identifier and an AMF identifier; selecting an AMF set based on the AMF set identifier; selecting an AMF from the selected AMF set; and transmitting, to the terminal, a second message as a response to the first message. The AMF set includes a plurality of AMFs based on network slices the AMFs each support, and the AMF set identifier is an identifier of the AMF set, and the AMF identifier is an identifier of an AMF within the AMF set.

Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Disclosed is a method of fault recovery in a multi-hop network having a plurality of nodes, defining a route, comprising the steps of: determining that a fault exists between two of the plurality of nodes (B, C); performing a hierarchical fault recovery process.

Embodiments of this application provide a load balance method and an apparatus thereof. The method may include the following steps: receiving, by a load balance node, a first service request packet from a service request end, where the first service request packet includes address information of the service request end, address information of a to-be-processed load balance instance, and a MAC address of the load balance node; determining a to-be-processed service member based on the address information of the to-be-processed load balance instance, where the to-be-processed service member is configured to process the first service request packet; and modifying the MAC address of the load balance node in the first service request packet to a MAC address of the to-be-processed service member, to obtain a second service request packet, and sending the second service request packet to a computing node to which the to-be-processed service member belongs.

Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Embodiments are directed towards systems and methods for selecting, in a Fifth Generation (5G) cellular telecommunication network, a User Plane Function (UPF) of a plurality of UPFs on which to anchor a Protocol Data Unit (PDU) session of a new user equipment (UE) newly appearing on the cellular telecommunication network. The selection is based on: a location of the new UE; a plurality of current loads for each UPF of the plurality of UPFs; a predicted UE load of the new UE based on network data analytics; and predicted UPF loads of the plurality of UPFs as a function of time considering the predicted UE load based on network data analytics from the Network Data Analytics Function. In the UPF selection, the Session Management Function (SMF) gives higher priority to shorter term predicted loads than longer term predicted loads. Also, in the UPF selection, the PDU session of the UE is preferred to attach on the UPF in the current serving area in which the UE is located.