Embodiments of a device and method are disclosed. In an embodiment, a method of automatic network service initiation involves pairing a first network device of a network service block (NSB) with an installer device at a customer site, at the first network device of the NSB, obtaining first network service configuration information from the installer device, performing automatic network service initiation of the first network device of the NSB based on the first network service configuration information, at a second network device of the NSB that is connected with the first network device of the NSB, obtaining address information of a cloud server from the first network device of the NSB, at the second network device of the NSB, obtaining second network service configuration information from the cloud server based on the address information, and performing automatic network service initiation of the second network device of the NSB based on the second network service configuration information.

Embodiments of a device and method are disclosed. In an embodiment, a method of automatic network service initiation involves pairing a first network device of a network service block (NSB) with an installer device at a customer site, at the first network device of the NSB, obtaining first network service configuration information from the installer device, performing automatic network service initiation of the first network device of the NSB based on the first network service configuration information, at a second network device of the NSB that is connected with the first network device of the NSB, obtaining address information of a cloud server from the first network device of the NSB, at the second network device of the NSB, obtaining second network service configuration information from the cloud server based on the address information, and performing automatic network service initiation of the second network device of the NSB based on the second network service configuration information.

Embodiments are presented for collaborative device address generation between a wireless client device and a network infrastructure component, such as a wireless access point. The wireless client device and network infrastructure component share information to facilitate collaborative generation of a sequence of device addresses. This shared information includes, in some embodiments, key information and moving factor information. The key information and moving factor information is used to generate a token. A sequence of tokens is generated by updating the moving factor as each token is generated. A corresponding sequence of device addresses are then derived based on the sequence of tokens. Since the wireless client device and the network infrastructure device apply equivalent methods to generate respective sequences of addresses, the network infrastructure is able to efficiently identify a source wireless client device when observing a new device address on a wireless network.

Embodiments are presented for collaborative device address generation between a wireless client device and a network infrastructure component, such as a wireless access point. The wireless client device and network infrastructure component share information to facilitate collaborative generation of a sequence of device addresses. This shared information includes, in some embodiments, key information and moving factor information. The key information and moving factor information is used to generate a token. A sequence of tokens is generated by updating the moving factor as each token is generated. A corresponding sequence of device addresses are then derived based on the sequence of tokens. Since the wireless client device and the network infrastructure device apply equivalent methods to generate respective sequences of addresses, the network infrastructure is able to efficiently identify a source wireless client device when observing a new device address on a wireless network.

A method and apparatus for support of Mobile-Terminated Small Data Transmission (MT-SDT) considering Central Unit (CU)-Distributed Unit (DU) split is provided. A receiving gNB receives a Radio Access Network (RAN) paging message from a last serving gNB. The RAN paging message includes an MT-SDT indication informing that a MT-SDT is supported. The receiving gNB transmits a Retrieve UE Context Request message to the last serving gNB based on an Inactive Radio Network Temporary Identity (I-RNTI). The Retrieve UE Context Request message includes information about a Downlink (DL) Transport Network Layer (TNL) address associated with the MT-SDT. The receiving gNB receives DL data associated with the MT-SDT from the last serving gNB based on the DL TNL address, and transmits the DL data to the UE.

A processing system may maintain a relationship graph that includes nodes and edges representing phone numbers and device identifiers having associations with the phone numbers. The processing system may obtain an identification of a first phone number or a first device identifier for a fraud evaluation and extract features from the relationship graph associated with at least one of the first phone number or the first device identifier. The plurality of features may include one or more device identifiers associated with the first phone number, or one or more phone numbers associated with the first device identifier. The processing system may then apply the features to a prediction model that is implemented by the processing system and that is configured to output a fraud risk value of the first phone number or the first device identifier and implement at least one remedial action in response to the fraud risk value.

A processing system may maintain a relationship graph that includes nodes and edges representing phone numbers and device identifiers having associations with the phone numbers. The processing system may obtain an identification of a first phone number or a first device identifier for a fraud evaluation and extract features from the relationship graph associated with at least one of the first phone number or the first device identifier. The plurality of features may include one or more device identifiers associated with the first phone number, or one or more phone numbers associated with the first device identifier. The processing system may then apply the features to a prediction model that is implemented by the processing system and that is configured to output a fraud risk value of the first phone number or the first device identifier and implement at least one remedial action in response to the fraud risk value.

A method of coordinating multiple instances of user plane traffic processing in a data network is described. The method includes the following steps: receiving control plane data from at least one basis station by a control plane of the data network, wherein the control plane data is associated with at least two subscribers connected to the at least one basis station; generating subscriber and user plane session data based on the received control plane data by a subscriber and session collector module, wherein the subscriber and user plane session data is associated with the at least two subscribers; selecting a user plane function instance out of a plurality of user plane function instances based on the subscriber and user plane session data by a load balancing module, wherein the selected user plane function instance is associated with exactly one subscriber; receiving user plane data from the at least one basis station, wherein the user plane data is associated with the at least two subscribers; and processing at least a portion of the user plane data by the selected user plane function instance. Further, a data network is described.

A method of coordinating multiple instances of user plane traffic processing in a data network is described. The method includes the following steps: receiving control plane data from at least one basis station by a control plane of the data network, wherein the control plane data is associated with at least two subscribers connected to the at least one basis station; generating subscriber and user plane session data based on the received control plane data by a subscriber and session collector module, wherein the subscriber and user plane session data is associated with the at least two subscribers; selecting a user plane function instance out of a plurality of user plane function instances based on the subscriber and user plane session data by a load balancing module, wherein the selected user plane function instance is associated with exactly one subscriber; receiving user plane data from the at least one basis station, wherein the user plane data is associated with the at least two subscribers; and processing at least a portion of the user plane data by the selected user plane function instance. Further, a data network is described.

Disclosed is an improved implementation of a flood fill mesh network that utilizes probability forwarding for rebroadcasting network messages. The forwarding probability may be determined based on analyzing a network topology map constructed by each network node relative to its neighbor nodes communicating on the network and derived from state information contained in synchronization frames broadcasted by the network nodes on the network. The forwarding probability may comprise a statistical probability that a message frame received by a network node will be forwarded to the intended destination network node by one or more of the network node's neighbor network nodes.