282 results about "Transport network" patented technology

Disclosed are methods, circuits, devices, systems and functionally associated machine executable code for context aware zero trust monitoring of critical infrastructure data network messages. Monitoring agents are functionally associated with and monitoring message communications to and from each of one or more transportation network units regulating components of the transportation network. Transportation network message evaluation logics evaluate a message intercepted by one of the monitoring agents, wherein each evaluation logic detects adherence violations of the message from a different transportation network aspect protocol. a scoring module for calculating, for each of the transportation network evaluated aspects, a score, a score aggregation module aggregates the message's scores, and a thresholding module compares the aggregated message score to a message adherence violation score threshold.

This disclosure provides systems, methods, and apparatuses for network devices of a transport network to obtain quantum key distribution (QKD) keys from a QKD system. The disclosed techniques enable network devices to exchange secure application entity identifications (SAE IDs) via a trusted channel between each pair of network devices. A trusted channel is a channel where the endpoints are known, and data integrity is protected in transit. Depending on the communications protocol used, a trusted channel is a communication channel in which the network devices have authenticated each other or in which the channel data privacy is protected in transit. A pair of network devices can exchange SAE IDs via a trusted channel so that each network device in the pair can obtain corresponding key material from the QKD system.

The invention provides an air-railway combined transportation network passenger flow prediction method fusing LSTM and GNN. The method comprises the steps that firstly, a graph model of a user travel scheme interaction data set is established through a user portrait data set and a travel scheme record data set; then constructing a weight matrix as the input of the traffic prediction model; and predicting the future traffic of the air-railway combined transportation travel scheme by adopting a traffic prediction model based on a long-short-term memory network and a graph neural network. According to the method, the long-term dependency relationship in the time sequence data is captured by using the LSTM, and the graph structure between the travel schemes is constructed in combination with the GNN to process the spatial relationship data, so that the complex characteristics of the traffic change of the travel schemes can be captured more comprehensively. Simulation results show that the proposed method is superior to a single LSTM, GNN or SFM or other benchmark methods in indexes such as MSE, MAE, RMSE and MAPE.

A method, for transferring uplink data that includes control-plane or non-control plane information to a central unit (CU), is implemented by a distributed unit (DU) of a base station. The method includes receiving, from a user equipment (UE) in an inactive state, the uplink data via a logical channel, determining, based on the logical channel, whether to transmit the uplink data via a transport network layer protocol stack or in an uplink radio resource control (RRC) message transfer message, and transmitting the uplink data to the CU in accordance with the determining.

Disclosed are an SDBANS controller and associated orchestration system configured to implement scalable transport network slicing in an XGS-PON. Accordingly, the orchestration system configures the SDBANS controller for different regions and maps TN NSSI ID information to an OLT port of an SD-CPON OLT. The OLT port is allocated by the SDBANS controller.

A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. The compute fabric includes an application layer that includes configured containers or containerized software modules that perform various control, monitoring and configuration activities with respect to one or more devices, control strategies and control loops, sites, plants, or facilities at which control is performed, and includes a physical layer including computer processing and data storage equipment that can be located at any desired location, including at or near a site, plant, or facility at which control is being performed, at a dedicated location away from the location at which control is being performed, in re-assignable computer equipment provided in the cloud, or any combination thereof. This control architecture enables significant amounts of both computer processing and IT infrastructure that is used to support a process plant, an industrial control facility or other automation facility to be implemented in a shared, in an offsite and / or in a virtualized manner that alleviates many of the communications and security issues present in current process and industrial control systems that attempt to implement control with shared or virtualized computing resources set up according to the well-known Purdue model.The industrial control system architecture is protected via more secure and customizable techniques as compared to those used in Purdue model-based control systems. For example, communications between any (and in some cases, all) endpoints of the system may be protected via one or more virtual private networks to which authenticated endpoints must be authorized to access. Endpoints may include, for example, containerized components, physical components, devices, sites or locations, the compute fabric, and the like, and the VPNs may include mutually-exclusive and / or nested VPNs. External applications and services, whether automated or executing under the purview of a person, may access information and services provided by the system via only APIs, and different sets of APIs may be exposed to different users that have been authenticated and authorized to access respective sets of APIs.A configuration system operates within the compute fabric to enable a user to easily make configuration changes to the compute fabric as the user does not generally need to specify the computer hardware within the compute fabric to use to make the configuration changes, making it possible for the user to deploy new configuration elements with simple programming steps, and in some cases with the push of a button.

Apparatuses, systems, and techniques including APIs, subscription services, and controllers to enable one or more fifth generation new radio (5G-NR) networks to share information. For example, a processor comprising one or more circuits can perform an API or subscription service to cause a device in a radio access network (RAN) to share its analytic data with a device in a transport network, and said device in said transport network can use said analytic data to adjust its network settings to improve performance.

The present application provides an endogenous-security network method and architecture, a medium, and a device. The method comprises: extracting forwarding characteristic information of normal service data flows; delivering the forwarding characteristic information of the normal service data flows to a transport network element, so as to form a forwarding table entry, a flow table, and a forwarding white list, wherein forwarding modes in a method for binding service data flow forwarding characteristics to forwarding table entries of transport network elements comprises: an authentication and authorization mode and an automatic learning mode; the transport network element performing packet forwarding according to the forwarding characteristic information of the normal service data flows; and discarding packets of abnormal service data flows, wherein packet identification is performed for forwarding operations on the basis of a whitelist automatically generated from configuration files of switches and routers. The present application solves the technical issue of an IP network having low inherent security protection capabilities due to the openness thereof and thus requiring the deployment of a large number of external security protection facilities. The issue results in poor effectiveness, high costs, and difficulty in establishing low-cost security protection capabilities, and ultimately makes the IP network easy to attack but difficult to defend.

A computer-implemented method for designing a multimodal transport network, the method comprising steps of generating an optimized transport network design by optimizing a multimodal communicability measure by adapting active edges of at least one of the layers of the transport network; and outputting the optimized transport network design.

An integrated access and backhaul IAB node includes: a receiver configured to receive a first RRC (Radio Resource Control) reconfiguration message, the first RRC reconfiguration message including IP address information for the IAB node of an F1-terminating topology domain which includes a TNL (transport network layer) address anchored at a donor-DU under an F1-terminating donor-CU for the IAB node, or IP address information for the IAB node of a non-F1-terminating topology domain which includes a TNL address anchored at a donor-DU under a non-F1-terminating donor-CU for the IAB node.

An integrated access and backhaul IAB donor-CU device, which is an F1-terminating donor-CU device of a migrating IAB node, includes: a transmitter configured to transmit IP address configuration information of an F1-terminating topology domain allocated for the migrating IAB node to a non-F1-terminating donor-CU; wherein IP address configuration information of the F1-terminating topology domain includes a TNL (transport network layer) address anchored at a donor-DU in the F1-terminating donor-CU topology for the migrating IAB node, and a receiver configured to receive IP address configuration information of the non-F1-terminating topology domain allocated for the migrating IAB node transmitted by the non-F1-terminating donor-CU; wherein IP address configuration information of the non-F1-terminating topology domain includes a new TNL address anchored at a donor-DU in the non-F1-terminating donor-CU topology for the migrating IAB node.

Failure of an active CU-UP can be managed and mitigated. In connection with an active CU-UP serving a device using a service, CU-CP can employ a node manager component (NMC) that, in connection with failure of active CU-UP, can synchronize operational state parameters, including user plane protocol state parameters, associated with active CU-UP with standby CU-UP, and transition from active CU-UP to standby CU-UP to become an active CU-UP that can serve the device, to maintain service continuity for the device. NMC can inform RAN SMO to reconfigure transport network to switch downlink data and uplink data to standby CU-UP. Standby CU-UP can buffer downlink data and uplink data in buffer memory until the synchronization is completed, after which the formerly standby, now active, CU-UP can communicate buffered downlink data to DU for communication to the device, and buffered uplink data to UPF for communication to a desired destination.

The invention discloses a carbon emission accounting method for a container multimodal transport network, and the method comprises the steps: firstly, determining a modeling boundary and a data set of the container multimodal transport network, and enabling the modeling boundary to comprise a space range, a time range and a modeling object; the data set comprises node attributes, connection edge attributes and node traffic volume data of data required for constructing the multimodal transport network model; then, establishing a data-driven multimodal transport network model, identifying a network topology structure through the model, and estimating network side point traffic; and finally, calculating the network carbon emission by combining the energy consumption characteristics of different transportation modes and different combined transportation transfer modes. The scheme not only can serve carbon emission evaluation of a single hub transportation network to realize hub enterprise freight network carbon emission footprint tracking and driving factor identification, but also can serve carbon emission evaluation of a regional multimodal transportation network to realize regional freight network carbon emission management level evaluation and driving factor identification, so that the economic benefit is improved. And a theoretical tool is provided for measuring the carbon emission reduction development level of the multimodal transport network with different dimensions.

A system may receive a video stream from a camera of a vehicle in a transportation network. The system may also receive an input indicating an acceleration and a steering angle of a simulated lead vehicle. The system may determine a pose of the simulated vehicle relative to a home pose based on the acceleration input and the steering input, and display an overlay of a representation of the simulated vehicle in the video stream at pixel coordinates based on the pose. The system may determine, from the pixel coordinates, spatial coordinates of the simulated vehicle in the transportation network, wherein the spatial coordinates are relative to at least one of the transportation network or the camera. The system may transmit the spatial coordinates to the vehicle to cause the vehicle to follow a path based on the spatial coordinates.

A method (1000) by a first network node (110) implementing Integrated Access and Backhaul, IAB, protocols includes communicating (1002), with a second network node (110), IAB data over a non-radio transport network via a non-radio transport protocol stack.

The invention discloses a bandwidth adjustment method, relates to the technical field of communication, and can realize dynamic adjustment of the bandwidth of a data bearing pipeline and meet the demand of dynamic change in a service scene. In the method, a negotiation mechanism for bandwidth adjustment is introduced between two communication devices in a small-granularity metro transport network (fgMTN), and the two communication devices negotiate bandwidth adjustment in a handshake communication mode and configure a new bandwidth for a data bearing pipeline at a specific time point at the same time, so that the bandwidth adjustment of the two communication devices is realized. And in the negotiation process, a new time slot allocation mode after the bandwidth of the data bearing pipeline is adjusted is specified, so that the data bearing pipeline can be normally used after the bandwidth is adjusted, the dynamic adjustment of the bandwidth of the data bearing pipeline is realized, and the requirement of dynamic change in a service scene is met.

The present disclosure relates to a method of a transport network node (13a) of performing load balancing in a transport network (10), and a transport network node (13a) performing the method. In an aspect, a method of a transport network node (13a) of performing load balancing in a transport network (10) is provided. The method comprises receiving (S101) a data traffic flow to be transmitted over the transport network (10) from a source radio access network, RAN, node (11a) to a destination RAN node (12a) connecting to the transport network (10), identifying (S102) a plurality of data traffic sub-flows forming the data traffic flow from the source RAN node (11a) to the destination RAN node (12a), determining (S103) one or more routing paths via which the identified data traffic sub-flows can be transmitted to a next-hop node(13b, 13g) in the transport network (10) and if there are multiple possible routing paths, alternating (S104) the transmission of identified data traffic sub-flows from the data traffic flow via determined different routing paths to attain load balancing in the transport network (10).

A method and apparatus are provided for monitoring performance of a network slice in a transport network by a network controller and / or a network device. In one embodiment, the method includes sending a PCEP configuration message to a network device of the transport network using a Path Computation Element Communication Protocol (PCEP) to request rendering of a transport network path assigned to the transport network slice. The PCEP configuration message includes a transport network slice identifier and a slice status request. The method further includes receiving a first PCEP report message from the network device, the first PCEP report message including slice status information indicating whether the transport network slice is in an up state, whether a service level agreement (SLA) of the transport network slice is satisfied, and whether the transport network slice is in a down state. The method further includes reporting the slice status information to a performance monitoring system (PMS).

A method performed by a first Radio Access Network, RAN, node is provided. The method is for handling packets of a RAN packet stream from the first RAN node towards a second RAN node in a communications network. The RAN packet stream is to be transmitted in a data session via intermediate nodes in a RAN transport network of the communications network. The first RAN node obtains (402) a RAN identifier. The RAN identifier identifies the RAN packet stream based on characteristics of the RAN packet stream. The first RAN node marks (403) the packets of the RAN packet stream with the RAN identifier. The first RAN node then transmits (405) the RAN identifier marked RAN packets of the RAN packet stream towards the second RAN node. The RAN identifier enables the respective first RAN node and intermediate nodes to: Identify the RAN packet stream and obtain rules related to forwarding the packets of the RAN packet stream towards the second RAN node, and based on the obtained rules, control traffic steering and / or distribution of the packets comprised in the identified RAN packet stream, when forwarding the packets towards the second RAN node.

A device may provide a first optical signal to a destination terminal via a fiber cable and a plurality of sensing repeaters provided at intermediate sites of an ultra-long-haul transport network. The device may receive a second optical signal, based on the first optical signal, via the fiber cable and the plurality of sensing repeaters provided at the intermediate sites of the ultra-long-haul transport network. The device may determine whether the fiber cable has an issue based on the second optical signal, and may perform one or more actions based on whether the fiber cable has an issue.

The invention discloses a power-traffic network charging load prediction method and system, and a storage medium. The method comprises the following steps: constructing an electric vehicle basic model, a road network basic model, a charging station basic model and a power distribution network basic model; generating dynamic traffic flow data through a generative adversarial network based on the basic model and the historical traffic data; constructing a traffic travel demand matrix based on a start-end point analysis method, and simulating the whole process of charging decision, queuing waiting and charging service of the electric vehicle in the charging station by using a queuing theory algorithm in combination with the dynamic traffic flow data and the basic model; constructing a space-time diagram attention network model, taking charging demand simulation data, a road network basic model and a charging station basic model as input, obtaining a space-time coupling relationship between a traffic network state and a charging demand through a multi-head diagram attention mechanism, and predicting to obtain space-time distribution of an electric vehicle charging load in a certain period of time in the future. And accurate prediction of the time-space part of the charging load of the electric vehicle is realized.

The present application relates to the technical field of communications. Disclosed is a bandwidth adjustment method, which can realize the dynamic adjustment of a data-bearing pipeline bandwidth and meet the dynamic change requirements of service scenarios. In the method, a negotiation mechanism for bandwidth adjustment is introduced between two communication apparatuses in a fine granularity metro transport network (fgMTN), the two communication apparatuses negotiate a bandwidth adjustment by means of handshake communication and simultaneously configure a new bandwidth for a data-bearing pipeline at a specific time point, and a new time slot allocation method after the bandwidth of the data-bearing pipeline is adjusted is designated during negotiation, thus ensuring that the data-bearing pipeline can be normally used after the bandwidth thereof is adjusted, and thereby realizing the dynamic adjustment of a data-bearing pipeline bandwidth and meeting the dynamic change requirements of service scenarios.

Computer-implemented methods optimising routes in a transport network for a geographical region are disclosed. Methods comprise obtaining an analysis of the geographical region; generating probabilistic predictions, checking whether at least a subset of the generated probabilistic predictions have previously been solved by a trained machine learning model; based on at least a first subset of the generated probabilistic predictions having previously been solved, retrieving the trained machine learning model previously used to solve the at least a first subset of the generated probabilistic predictions and executing the trained machine learning model to determine a first plurality of suggested routes for the transport network; based on at least a second subset of the generated probabilistic predictions not having previously been solved, training a new machine learning model to solve the at least a second subset of generated probabilistic predictions to determine a second plurality of suggested routes for the transport network.

A mechanism is disclosed operating a transport network function (TNF) as part of a fifth generation wireless (5G) virtualized control plane. The mechanism includes receiving a request to compute a traffic engineering (TE) path in a 5G transport network for a packet data unit (PDU) session, the request received from a 5G virtualized control plane function via a service based interface (SBI) bus. Network topology information for the 5G transport network is obtained via a northbound interface (Nn). A TE path across the 5G transport network is computed for the PDU session based on the network topology information. A TE path identifier for the TE path computed for the PDU session is returned via the SBI bus.

Apparatuses, systems, and techniques including APIs, subscription services, and controllers to enable one or more fifth generation new radio (5G-NR) networks to share information. For example, a processor comprising one or more circuits can perform an API or subscription service to cause a device in a radio access network (RAN) to share its analytic data with a device in a transport network, and said device in said transport network can use said analytic data to adjust its network settings to improve performance.

Techniques are disclosed for disseminating network service-specific mapping information across administrative domains. In one example, a network device receives an indication of a route target and one or more underlay tunnels configured to support a service route. The service route is configured to transport network traffic associated with a first network service of a plurality of network services. The network device defines, based on the indication, a first transport class of a plurality of transport classes. The network device receives a service route for the first network service and stores a correspondence between the service route and the first transport class. The network device receives network traffic associated with the first network service and forwards, based on the correspondence, the network traffic along the underlay tunnels specified by the first transport class.

Apparatuses, systems, and techniques including APIs, subscription services, and controllers to enable one or more fifth generation new radio (5G-NR) networks to share information. For example, a processor comprising one or more circuits can perform an API or subscription service to cause a device in a radio access network (RAN) to share its analytic data with a device in a transport network, and said device in said transport network can use said analytic data to adjust its network settings to improve performance.

A transport network management system identifies a service objective for a plurality of VTOL aircraft and retrieves VTOL data including locations of the plurality of VTOL aircraft. An estimate of demand for transport services to be provided at least in part by one of the VTOL aircraft is generated and routing data for the plurality of VTOL aircraft is determined based on the estimated demand and the service objective. Routing instructions based on the routing data are sent to at least a subset of the VTOL aircraft.

An example method may include receiving slice isolation policy for a network slice subnet (NSS) in a transport network (TN) domain, mapping the slice isolation policy to network resource isolation policy and traffic isolation policy, and mapping the network resource isolation policy and the traffic isolation policy to network resource allocation policy and data traffic forward policy, respectively. The network resource allocation policy and the data traffic forward policy may be applied in creation of the TN NSS.

Embodiments of the present disclosure relate to methods, devices, apparatuses, and computer readable medium for macro-diversity transmission in a subnetwork. The method comprises: in response to receiving a first header identification associated with a Time Sensitive Communication (TSC) stream, a first device transmits, to a configuration entity of a transport network, a first stream requirement comprising two or more second identifications. Each of the two or more second identifications is associated with a corresponding second device configured for an interface end station in a first protocol plane. The first device receives communication configuration information indicating second header information from the configuration entity. Then, the first device transmits, to a second device operating as a source interface end station, the first header identification and third header information at least indicating the second header information. The second device is associated with a second identification of the two or more second identifications.