Abstract: A truck bed cover locking device includes a latch structure and a latch locking component. The latch structure is detachably mounted on a truck bed body. The latch structure includes a limit portion extending toward a latch locking component. The limit portion includes a limit surface and a tilted surface. The tilted surface is located above the limit surface. The tilted surface tilts downward in a direction approaching the latch locking component. The latch locking component is provided on the truck bed cover. The latch locking component includes a retractable plunger and a reset component. The plunger contacts the tilted surface at a point. Under the action of gravity, the plunger is compressed and slides downward. When the plunger slides to a position below the limit surface, at least a part of the plunger stretches out to a position below the limit surface under the action of the reset component.

Abstract: The truck bed cover locking device includes a side rail, a latch structure and a latch locking component. The latch structure is detachably mounted on the side rail. The latch structure includes a limiting surface. The latch locking component is provided on a truck bed cover. The latch locking component includes a plunger capable of at least partially moving to a position below the limiting surface. The limiting surface extends toward the plunger, and an extending length of the limiting surface is not less than the length of the plunger moving to a position below the limiting surface. The latch structure is detachably provided on the side rail, and fits with the latch locking component on the truck bed cover, thereby tightly locking the truck bed cover on the side rail, and protecting the side rail from damage.

Abstract: The present disclosure describes a tonneau cover support system for a cargo bed of a truck. The tonneau cover support system includes a tonneau cover for covering the cargo bed, a plurality of side rails to support the tonneau cover when the tonneau cover is in a closed position, and a plurality of clamp assemblies for securing the plurality of side rails to side walls of the cargo bed. Each of the plurality of clamp assemblies is slid and mounted onto one of the plurality of side rails. The tonneau cover support system further includes a latch assembly having a latch and a plunger section. The latch is configured to be slid and mounted onto one of the plurality of side rails, and the plunger section is installed on the tonneau cover.

Abstract: A network device performs operations comprising: receiving a first plurality of data packets, each data packet of the first plurality of data packets including a checksum value, and storing the checksum values of a subset of the first plurality of data packets along with a first timestamp; providing the first plurality of data packets to a network function (NF); receiving, from the NF, a second plurality of data packets generated by the NF in response to the first plurality of data packets, each data packet of the second plurality of data packets including a checksum value; storing a second timestamp when checksum values of a subset of the second plurality of data packets match the stored checksum values; and generating telemetry data based on the first timestamp and the second timestamp.

Abstract: Systems and methods are provided for recognition of an application in communication traffic flow in a network using an artificial intelligence (AI) based hierarchical service awareness engine. A decode equivalent class (DEC) can be used to provide information on the application. A DEC corresponds to a class of traffic that is mapped to an artificial intelligence (AI) model associated with parameters related to the class of traffic. DEC information can be fed to an AI model set and an inference model can be derived from a AI model of the AI model set corresponding to a DEC. The inference model can be provided to a gateway of the network to recognize a specific application of a service in communication flows. In various embodiments, in training the AI models, the gateway can provide DEC information for the AI model set from classifying flows of data traffic received from the network into DECs.

Abstract: A protocol independent network condition service (PINCS) apparatus is provided, comprising a memory storage comprising instructions and one or more processors in communication with the memory. The processors execute the instructions to receive a subscription for network condition information of at least one network from at least one network condition consumer (NCC) node, the network condition information being related to at least one target data flow provided to at least one node in the network via the NCC node, obtain information about a plurality of network conditions from at least one network condition provider (NCP) node configured to monitor a plurality of network conditions including network conditions related to the at least one target data flow, process the information about the plurality of network conditions to generate an aggregated network conditions information, and send the aggregated network conditions information the NCC node as indicated by the subscription.

Abstract: Interruptions in communication due to user equipment (UE) handovers (HO) are signaled from the mobile communication network to the traffic source. For ultra-low latency and reliable communication, the signaling of HO start and completion notifications prevents retransmissions of in-flight packets by the traffic source, eliminating additional delays and inefficiencies. Signaling can be implemented by a network element, by a network element in conjunction with a smart traffic handler between the network and the traffic source (e.g., applications) and by a UE having at least two different radio interfaces.

Abstract: Systems and methods are provided for recognition of an application in communication traffic flow in a network using an artificial intelligence (AI) based hierarchical service awareness engine. A decode equivalent class (DEC) can be used to provide information on the application. A DEC corresponds to a class of traffic that is mapped to an artificial intelligence (AI) model associated with parameters related to the class of traffic. DEC information can be fed to an AI model set and an inference model can be derived from a AI model of the AI model set corresponding to a DEC. The inference model can be provided to a gateway of the network to recognize a specific application of a service in communication flows. In various embodiments, in training the AI models, the gateway can provide DEC information for the AI model set from classifying flows of data traffic received from the network into DECs.

Abstract: In accordance with embodiments of the present disclosure, a tonneau cover for covering a pickup truck's cargo bed may include a frame structure for attaching to walls of the cargo bed. The tonneau cover may include a soft cover for covering the cargo bed, wherein the soft cover has edges that can be attached to the frame structure, and a cross bar attached to an inner side of the soft cover. When the soft cover is in a closed position, two ends of the cross bar are supported by the frame structure, and at least a portion of the soft cover is supported by the cross bar.

Abstract: A transmitting virtual reality (VR) content method is disclosed that includes receive, by a network element, VR content packets transmitted by a VR content server for a single VR content scene and quality of service (QoS) transmission priorities for the VR content packets, wherein the QoS transmission priorities comprise a first QoS transmission priority corresponding to a first plurality of the VR content packets and a second QoS transmission priority corresponding to a second plurality of the VR content packets. In this embodiment, the method also includes transmitting, by the network element, the first plurality of the VR content packets based on the first QoS transmission priority and the second plurality of the VR content packets based on the second transmission priority, wherein the second QoS transmission priority is different from the first QoS transmission priority.

Abstract: A computer-implemented method for processing a data packet in a communication network includes receiving, at a private Mobile Edge Computing (MEC) data center, the data packet. The private MEC data center hosts one or more virtual Evolved Packet Core (EPC) gateways, and each of the one or more virtual Evolved Packet Core (EPC) gateways corresponds to one or more respective Public Land Mobile Network (PLMN) service providers. The private MEC data center identifies a traffic routing type for the data packet. The private MEC data center transmits the data packet based on the identified traffic routing type.

Abstract: A network device performs operations comprising: receiving a first plurality of data packets, each data packet of the first plurality of data packets including a checksum value, and storing the checksum values of a subset of the first plurality of data packets along with a first timestamp; providing the first plurality of data packets to a network function (NF); receiving, from the NF, a second plurality of data packets generated by the NF in response to the first plurality of data packets, each data packet of the second plurality of data packets including a checksum value; storing a second timestamp when checksum values of a subset of the second plurality of data packets match the stored checksum values; and generating telemetry data based on the first timestamp and the second timestamp.

Abstract: Interruptions in communication due to user equipment (UE) handovers (HO) are signaled from the mobile communication network to the traffic source. For ultra-low latency and reliable communication, the signaling of HO start and completion notifications prevents retransmissions of in-flight packets by the traffic source, eliminating additional delays and inefficiencies. Signaling can be implemented by a network element, by a network element in conjunction with a smart traffic handler between the network and the traffic source (e.g., applications) and by a UE having at least two different radio interfaces.

Abstract: A protocol independent network condition service (PINCS) apparatus is provided, comprising a memory storage comprising instructions and one or more processors in communication with the memory. The processors execute the instructions to receive a subscription for network condition information of at least one network from at least one network condition consumer (NCC) node, the network condition information being related to at least one target data flow provided to at least one node in the network via the NCC node, obtain information about a plurality of network conditions from at least one network condition provider (NCP) node configured to monitor a plurality of network conditions including network conditions related to the at least one target data flow, process the information about the plurality of network conditions to generate an aggregated network conditions information, and send the aggregated network conditions information the NCC node as indicated by the subscription.

Abstract: A computer-implemented method for processing a data packet in a communication network includes receiving, at a private Mobile Edge Computing (MEC) data center, the data packet. The private MEC data center hosts one or more virtual Evolved Packet Core (EPC) gateways, and each of the one or more virtual Evolved Packet Core (EPC) gateways corresponds to one or more respective Public Land Mobile Network (PLMN) service providers. The private MEC data center identifies a traffic routing type for the data packet. The private MEC data center transmits the data packet based on the identified traffic routing type.

Abstract: According to one aspect of the present disclosure, there is provided a computer-implemented method for dynamically allocating edge computing resources. The method can include receiving, in an edge computing center, a request for using the edge computing resources to perform a secondary task for a secondary edge service, allocating the edge computing resources to the secondary edge service if the edge computing resources are available, and in response to an increase in a primary edge services workload, reallocating at least a portion of the edge computing resources from the secondary edge service to the primary edge services if the edge computing resources are insufficient for performing the primary edge services.

Abstract: A method includes an edge resource receiving virtual reality (VR) content responsive to a VR session request of a user equipment (UE), the edge resource receiving a wireless link condition indication and a field of view (FOV) information from the UE, with the wireless link condition indication corresponding to a wireless link, and the edge resource adapting the VR content according to the FOV information and the wireless link condition indication.

Abstract: A transmitting virtual reality (VR) content method is disclosed that includes receive, by a network element, VR content packets transmitted by a VR content server for a single VR content scene and quality of service (QoS) transmission priorities for the VR content packets, wherein the QoS transmission priorities comprise a first QoS transmission priority corresponding to a first plurality of the VR content packets and a second QoS transmission priority corresponding to a second plurality of the VR content packets. In this embodiment, the method also includes transmitting, by the network element, the first plurality of the VR content packets based on the first QoS transmission priority and the second plurality of the VR content packets based on the second transmission priority, wherein the second QoS transmission priority is different from the first QoS transmission priority.

Abstract: A system, computer program, and method are provided for service placement in a network. Information is stored on a collection of services that are configured to be performed in a dynamic order. Further, one or more interdependencies between at least a portion of the services are identified. Still yet, the collection of services is divided into one or more subsets of the services, based on the one or more interdependencies. A plurality of parts of at least one of the one or more subsets of the services is combined, resulting in one or more composite subsets of the services that are outputted to at least one of a plurality of service nodes.