Abstract: In one embodiment, a method includes determining first configuration information for configuring a first user plane device of a first network slice associated with a control plane device, generating a first configuration identifier based on the first configuration information, sending the first configuration identifier and the first configuration information, releasing an association with the first user plane device, receiving a first request to establish the association from the first user plane device comprising a first local configuration identifier, and determining whether the first user plane device is configured using second configuration information by comparing the first local configuration identifier and a second configuration identifier generated based on the second configuration information, where the second configuration information is latest configuration information for the first user plane device.

Abstract: Exemplary systems and methods enable efficient and reliable positioning, assembly, retention, interconnection, and management of battery cells in battery packs, for example battery packs utilized in electric vehicles.

Abstract: In one embodiment, a method includes determining a first configuration information for configuring a user plane device of the first network slice associated with the control plane device, generating a first configuration identifier based on the first configuration information, sending, to the user plane device of the first network slice, the first configuration identifier and the first configuration information, receiving, from the user plane device of the first network slice, a second configuration identifier, wherein the second configuration identifier is generated by the user plane device of the first network slice based on the first configuration information received from the control plane device, and verifying, by comparing the first configuration identifier and the second configuration identifier, that the user plane device of the first network slice is configured using the first configuration information.

Abstract: Techniques and mechanisms for Fifth Generation (5G) system (5GS) failure detection monitoring of an application or control function in a network for efficient restoration of service are described. The network may be an Internet Protocol (IP) Multimedia Subsystem (IMS) network, and the voice or data service may be an IMS service that utilizes Session Initiation Protocol (SIP) signaling. The application or control function may be a Proxy-Call Session Control Function (P-CSCF) of the IMS network. In some implementations, the procedure may involve a session management function (SMF) programming of a user plane function (UPF) for UPF monitoring of the P-CSCF, using a ping procedure or health check procedure (e.g. for 3GPP Pre-Release 16). In other implementations, the procedure may involve the SMF monitoring of a P-CSCF via a Network Function (NF) Repository Function (NRF) (e.g. for 3GPP Release 16).

Abstract: Techniques and mechanisms for Fifth Generation (5G) system (5GS) failure detection monitoring of an application or control function in a network for efficient restoration of service are described. The network may be an Internet Protocol (IP) Multimedia Subsystem (IMS) network, and the voice or data service may be an IMS service that utilizes Session Initiation Protocol (SIP) signaling. The application or control function may be a Proxy-Call Session Control Function (P-CSCF) of the IMS network. In some implementations, the procedure may involve a session management function (SMF) programming of a user plane function (UPF) for UPF monitoring of the P-CSCF, using a ping procedure or health check procedure (e.g. for 3GPP Pre-Release 16). In other implementations, the procedure may involve the SMF monitoring of a P-CSCF via a Network Function (NF) Repository Function (NRF) (e.g. for 3GPP Release 16).

Abstract: When a packet data session is established for a user equipment (UE), a comparative assessment of load information factors from different sets of load information factors associated with a plurality of user plane function (UPF) instances may be performed. Each set of load information factors of a UPF instance may include predicted load information factors indicative of a predicted load at the UPF instance. A UPF instance may be selected for the packet data session of the UE based on the comparative assessment. The comparative assessment may additionally consider a predicted load contribution of the packet data session to be established for the UE. A data analytics function may utilize a model (e.g. a multiple linear regression model) to calculate predicted load contribution factors, where the model is derived based on historical usage data from previous sessions of one or more UEs, for example, data from charging data records (CDRs).

Abstract: Exemplary systems and methods enable efficient and reliable positioning, assembly, retention, interconnection, and management of battery cells in battery packs, for example battery packs utilized in electric vehicles.

Abstract: Exemplary systems and methods enable efficient and reliable positioning, assembly, retention, interconnection, and management of battery cells in battery packs, for example battery packs utilized in electric vehicles.

Abstract: Techniques are provided to communicate the serving Radio Access Network (RAN) element information to the packet core network to enable operators to provide differential treatment for fifth generation (5G) subscribers. The techniques presented herein fill these gaps and help drive faster adoption of Dual Connectivity New Radio (DCNR) subscribers by service operator to offer customized policy and quota management to address different business requirements in the 5G Non-Stand Alone (NSA) architecture.

Abstract: When a packet data session is established for a user equipment (UE), a comparative assessment of load information factors from different sets of load information factors associated with a plurality of user plane function (UPF) instances may be performed. Each set of load information factors of a UPF instance may include predicted load information factors indicative of a predicted load at the UPF instance. A UPF instance may be selected for the packet data session of the UE based on the comparative assessment. The comparative assessment may additionally consider a predicted load contribution of the packet data session to be established for the UE. A data analytics function may utilize a model (e.g. a multiple linear regression model) to calculate predicted load contribution factors, where the model is derived based on historical usage data from previous sessions of one or more UEs, for example, data from charging data records (CDRs).

Abstract: When a packet data session is established for a user equipment (UE), a comparative assessment of load information factors from different sets of load information factors associated with a plurality of user plane function (UPF) instances may be performed. Each set of load information factors of a UPF instance may include predicted load information factors indicative of a predicted load at the UPF instance. A UPF instance may be selected for the packet data session of the UE based on the comparative assessment. The comparative assessment may additionally consider a predicted load contribution of the packet data session to be established for the UE. A data analytics function may utilize a model (e.g. a multiple linear regression model) to calculate predicted load contribution factors, where the model is derived based on historical usage data from previous sessions of one or more UEs, for example, data from charging data records (CDRs).

Abstract: Techniques and mechanisms for Fifth Generation (5G) system (5GS) failure detection monitoring of an application or control function in a network for efficient restoration of service are described. The network may be an Internet Protocol (IP) Multimedia Subsystem (IMS) network, and the voice or data service may be an IMS service that utilizes Session Initiation Protocol (SIP) signaling. The application or control function may be a Proxy-Call Session Control Function (P-CSCF) of the IMS network. In some implementations, the procedure may involve a session management function (SMF) programming of a user plane function (UPF) for UPF monitoring of the P-CSCF, using a ping procedure or health check procedure (e.g. for 3GPP Pre-Release 16). In other implementations, the procedure may involve the SMF monitoring of a P-CSCF via a Network Function (NF) Repository Function (NRF) (e.g. for 3GPP Release 16).

Abstract: Techniques are provided to communicate the serving Radio Access Network (RAN) element information to the packet core network to enable operators to provide differential treatment for fifth generation (5G) subscribers. The techniques presented herein fill these gaps and help drive faster adoption of Dual Connectivity New Radio (DCNR) subscribers by service operator to offer customized policy and quota management to address different business requirements in the 5G Non-Stand Alone (NSA) architecture.

Abstract: In one embodiment, a method includes determining a first configuration information for configuring a user plane device of the first network slice associated with the control plane device, generating a first configuration identifier based on the first configuration information, sending, to the user plane device of the first network slice, the first configuration identifier and the first configuration information, receiving, from the user plane device of the first network slice, a second configuration identifier, wherein the second configuration identifier is generated by the user plane device of the first network slice based on the first configuration information received from the control plane device, and verifying, by comparing the first configuration identifier and the second configuration identifier, that the user plane device of the first network slice is configured using the first configuration information.

Abstract: In one embodiment, a method includes determining a first configuration information for configuring a user plane device of the first network slice associated with the control plane device, generating a first configuration identifier based on the first configuration information, sending, to the user plane device of the first network slice, the first configuration identifier and the first configuration information, receiving, from the user plane device of the first network slice, a second configuration identifier, wherein the second configuration identifier is generated by the user plane device of the first network slice based on the first configuration information received from the control plane device, and verifying, by comparing the first configuration identifier and the second configuration identifier, that the user plane device of the first network slice is configured using the first configuration information.

Abstract: When a packet data session is established for a user equipment (UE), a comparative assessment of load information factors from different sets of load information factors associated with a plurality of user plane function (UPF) instances may be performed. Each set of load information factors of a UPF instance may include predicted load information factors indicative of a predicted load at the UPF instance. A UPF instance may be selected for the packet data session of the UE based on the comparative assessment. The comparative assessment may additionally consider a predicted load contribution of the packet data session to be established for the UE. A data analytics function may utilize a model (e.g. a multiple linear regression model) to calculate predicted load contribution factors, where the model is derived based on historical usage data from previous sessions of one or more UEs, for example, data from charging data records (CDRs).

Abstract: In one embodiment, a method includes determining a first configuration information for configuring a user plane device of the first network slice associated with the control plane device, generating a first configuration identifier based on the first configuration information, sending, to the user plane device of the first network slice, the first configuration identifier and the first configuration information, receiving, from the user plane device of the first network slice, a second configuration identifier, wherein the second configuration identifier is generated by the user plane device of the first network slice based on the first configuration information received from the control plane device, and verifying, by comparing the first configuration identifier and the second configuration identifier, that the user plane device of the first network slice is configured using the first configuration information.

Abstract: Exemplary systems and methods enable efficient and reliable positioning, assembly, retention, interconnection, and management of battery cells in battery packs, for example battery packs utilized in electric vehicles.

Abstract: Exemplary systems and methods enable efficient and reliable positioning, assembly, retention, interconnection, and management of battery cells in battery packs, for example battery packs utilized in electric vehicles.

Abstract: A system and method for animal feed management for a dairy farm, include a feed management server configured to monitor activities of a plurality of entities in a defined area of the dairy farm by a plurality of sensing devices. The monitored activities include at least a free-style grazing activity by a plurality of dairy animals included in the plurality of entities. An amount of milk yielded by each dairy animal of the plurality of dairy animals is estimated based on the monitored activities. A feed composition for each of the plurality of dairy animals is determined based on the determined amount of milk yielded by corresponding dairy animal and the monitored activities. A loading device, which loads a feed container with the determined feed composition for the first dairy animal, is controlled to manage consumption of the feed composition by the first dairy animal.