Abstract: A network node configured to transmit packets to a destination node in a packet network, includes at least one processor and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the network node to: assemble at least a first packet including a plurality of data units, each of the plurality of data units being grouped into one of a connection group, a network function group or an application group; and transmit the first packet to the destination node.

Abstract: An application specific interface (AA-NAPI) associated with an application for the purpose of controlling the networking aspects of the application session is provided by communication service provider (CSP). Cost model of network service types associated with a specific application type is learned by using the AA-NAPI. For each service-point joining the session, network properties are queried by using the AA-NAPI. During continuous service quality monitoring, upon detection of quality degradation leading to the decision to upgrade session quality, network service-type associated with a specific server-point is changed by using the AA-NAPI. Network specific actions are taken to reconfigure the network so that the requested service type is received by the specific service-point. New network capability is activated to improve network service level by using the AA-NAPI.

Abstract: The embodiments relate to a method, comprising transforming a physical environment into a three-dimensional (3D) digital representation; mapping the 3D digital representation to a feature vector representation to generate a set of features; determining a performance of a wireless network at the physical environment; enabling a machine learning algorithm to learn mapping between the determined performance and the generated set of features; generating a virtual layout of the environment; and generating performance prediction by means of the machine learning algorithm inferring a performance corresponding to the generated virtual layout. The embodiments also relate to technical equipment for implementing the method.

Abstract: Various example embodiments for supporting dynamic node cluster discovery in a communication network are presented. Various example embodiments for supporting dynamic node cluster discovery in a communication network may be configured to support dynamic node cluster discovery based on circulation of discovery messages within the communication network. Various example embodiments for supporting dynamic node cluster discovery based on the circulation of discovery messages within the communication network may be configured to support dynamic node cluster discovery based on probabilistic forwarding of discovery messages within the communication network. Various example embodiments for supporting dynamic node cluster discovery based on the circulation of discovery messages within the communication network may be configured to support dynamic node cluster discovery based on updating and forwarding of discovery messages within the communication network.

Abstract: Various example embodiments for supporting multi-tier deterministic networking are presented. Various example embodiments for supporting multi-tier deterministic networking may be configured to support provisioning of deterministic flows in multi-tier deterministic networking. Various example embodiments for supporting multi-tier deterministic networking may be configured to support adaptive deterministic routing in multi-tier deterministic networks. Various example embodiments for supporting multi-tier deterministic networking may be configured to support score-based deterministic routing in multi-tier deterministic networks. Various example embodiments for supporting multi-tier deterministic networking may be configured to support adaptive deterministic routing and/or score-based deterministic routing in multi-tier deterministic networks based on analysis of a state representation for path and/or sub-path selection in multi-tier deterministic networks.

Abstract: Various example embodiments for supporting flow reliability in deterministic networking are presented. Various example embodiments for supporting flow reliability in deterministic networking may be configured to support flow reliability in deterministic networking based on control over frame replication and elimination for deterministic flows. Various example embodiments for supporting flow reliability in deterministic networking based on control over frame replication and elimination for deterministic flows may be configured to control replication and elimination of redundant flows providing redundancy for deterministic flows based on dynamic activation and deactivation of the redundant flows based on monitoring of flow continuity of the deterministic flows.

Abstract: Various example embodiments for supporting multi-tier deterministic networking are presented. Various example embodiments for supporting multi-tier deterministic networking may be configured to support provisioning of deterministic flows in multi-tier deterministic networking. Various example embodiments for supporting multi-tier deterministic networking may be configured to support adaptive deterministic routing in multi-tier deterministic networks. Various example embodiments for supporting multi-tier deterministic networking may be configured to support score-based deterministic routing in multi-tier deterministic networks. Various example embodiments for supporting multi-tier deterministic networking may be configured to support adaptive deterministic routing and/or score-based deterministic routing in multi-tier deterministic networks based on analysis of a state representation for path and/or sub-path selection in multi-tier deterministic networks.

Abstract: Various example embodiments for supporting dynamic node cluster discovery in a communication network are presented. Various example embodiments for supporting dynamic node cluster discovery in a communication network may be configured to support dynamic node cluster discovery based on circulation of discovery messages within the communication network. Various example embodiments for supporting dynamic node cluster discovery based on the circulation of discovery messages within the communication network may be configured to support dynamic node cluster discovery based on probabilistic forwarding of discovery messages within the communication network. Various example embodiments for supporting dynamic node cluster discovery based on the circulation of discovery messages within the communication network may be configured to support dynamic node cluster discovery based on updating and forwarding of discovery messages within the communication network.

Abstract: Various example embodiments for supporting flow reliability in deterministic networking are presented. Various example embodiments for supporting flow reliability in deterministic networking may be configured to support flow reliability in deterministic networking based on control over frame replication and elimination for deterministic flows. Various example embodiments for supporting flow reliability in deterministic networking based on control over frame replication and elimination for deterministic flows may be configured to control replication and elimination of redundant flows providing redundancy for deterministic flows based on dynamic activation and deactivation of the redundant flows based on monitoring of flow continuity of the deterministic flows.

Abstract: A method for routing traffic between a source node and a destination node in a network comprises: identifying a first group level at which a source group vector and a destination group vector differ; obtaining one or more first route segments between a first source group and a first destination group at the first group level; computing an end-to-end route between the source node and the destination node based on at least the one or more first route segments; and routing traffic between the source node and the destination node on the end-to-end route.

Abstract: A network node configured to transmit packets to a destination node in a packet network, includes at least one processor and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the network node to: assemble at least a first packet including a plurality of data units, each of the plurality of data units being grouped into one of a connection group, a network function group or an application group; and transmit the first packet to the destination node.

Abstract: Aspects described herein relate to various methods, systems and apparatuses that can be used to define a network slice based on descriptions of the computing functions involved in a network service, and to configure the network slice using resources that are associated with the descriptions. For example, a network slice may be defined based on whether the network service requires tunneling or data encryption. The network slice may be configured using resources that perform those tunneling and data encryption functions.

Abstract: A method for routing traffic between a source node and a destination node in a network comprises: identifying a first group level at which a source group vector and a destination group vector differ; obtaining one or more first route segments between a first source group and a first destination group at the first group level; computing an end-to-end route between the source node and the destination node based on at least the one or more first route segments; and routing traffic between the source node and the destination node on the end-to-end route.

Abstract: A system and a method for interpreting normal and errored segments of network measurement data differently, and processing network measurement data, including: receiving a first query for network measurement data; extracting compressed network measurement data and error metadata from a repository database based upon the first query; decompressing the extracted compressed network measurement data; retrieving an error segment of raw network measurement data based upon the error metadata; and merging the error segment of raw network measurement data with the decompressed extracted compressed network measurement data to produce extracted network measurement data.

Abstract: System, apparatus, method, and computer program product are described for receiving input of one or more search criterion, processing a data set based on the received input of one or more search criterion, and causing display of a user-interactive visual representation of the data set wherein the user-interactive visual representation of the data set is a two-dimensional representation of a three-dimensional structure that extends in first, second and third mutually orthogonal directions, and has a series of adjacent layers, each layer corresponding to a hierarchical level of the graph. The data set can be a set of data accessible via a graph comprising nodes including a root node. A hierarchical level of a node can be determined by the number of nodes in a shortest route through the graph from the node to the root node and may be highest at the root node.

Abstract: A system and a method for interpreting normal and errored segments of network measurement data differently, and processing network measurement data, including: receiving a first query for network measurement data; extracting compressed network measurement data and error metadata from a repository database based upon the first query; decompressing the extracted compressed network measurement data; retrieving an error segment of raw network measurement data based upon the error metadata; and merging the error segment of raw network measurement data with the decompressed extracted compressed network measurement data to produce extracted network measurement data.

Abstract: A server receives signals indicating an alert condition for a location that is defined by a set of location attributes and identifies one or more base stations that serve one or more cells that overlap with the location, which encompasses less than all of the cells. The server transmits a message to the one or more base stations identifying the alert condition and including the set of location attributes. A user equipment receives the message identifying the alert condition and including the set of location attributes that define the location of the alert condition. The user equipment compares a location of the user equipment to the set of location attributes and generates an alert in response to the location of the user equipment being within the location of the alert condition.

Abstract: A buffer stores only packets in one or more high-priority traffic flows in a first portion. The size of the first portion is determined based on an estimated maximum volume of traffic in the at least one high-priority traffic flow. The buffer stores packets in either the one or more high-priority traffic flows or one or more low-priority traffic flows in a second portion. The buffer stores only packets in the one or more low-priority traffic flows in a third portion. A processor marks the packets in the first portion and the second portion with a high-priority color prior to transmission of the packets. The processor marks the packets in the third portion with a low-priority color prior to transmission of the packets.

Abstract: A peer-to-peer forwarding node supports the operation of a teleconference across a telecommunications network. The telecommunications network comprises a plurality of nodes including one or more source locations and one or more remote locations. The teleconference includes teleconference participants at each of the source and remote locations. The peer-to-peer forwarding node is located at a given one of the plurality of nodes. The peer-to-peer forwarding node comprises a receiver and a transmitter. The receiver receives a request from a telecommunications controller to provide peer-to-peer forwarding of a media signal to be received from a first one of the source locations to a first one of the remote locations and which further receives the media signal from the first one of said source locations. The transmitter forwards the media signal from the first one of the source locations to the first one of the remote locations.

Abstract: In one embodiment, the method includes receiving, by a processor, subscriber usage data for a plurality of subscribers and performance metrics data for a plurality of cells of a wireless network. The method further includes identifying, by the processor, a set of subscribers that have one or more peak usage time intervals that are periodic. The method further includes identifying, by the processor, one or more peak usage time intervals of the plurality of cells in the wireless network. The method further includes classifying, by the processor, a first subset of the set of subscribers based on a correlation of the one or more peak usage time intervals of respective ones of the set of subscribers to the peak usage time intervals of the cell.