Abstract: System and techniques for base station assisted Information Centric Network (ICN) are described herein. A mobile network base station receives an ICN packet from a user equipment (UE). The mobile network base station identifies an aggregate packet data unit (PDU) session with a user plane function (UPF) ICN gateway (ICN-GW) hosted in a mobile network core network (CN) for the ICN packet. Then, the mobile network base station transmits the ICN packet via the aggregate PDU session.

Abstract: Devices and techniques for Information Centric Network (ICN) packet transmission control are described herein. An interest (or data) packet may be received at an ICN router. Here, the packet includes quality of service (QoS) information. For an interest packet, the ICN router creates a pending interest table (PIT) entry for the packet. The ICN router determines that it does not have a route for the packet. Thus, if it is an interest packet, there is no forward route in a forwarding information base (FIB). If it is a data packet, there is no corresponding PIT entry. However, after extracting the QoS information from the packet, the ICN router broadcasts the packet in accordance with the QoS information.

Abstract: A telecommunication network may operate to enable a wake up signals (WUSs) within the telecommunication network. A mobility management entity (MME) may estimate a coverage enhancement (CE) level of a user equipment (UE), determine, based on the CE level, a number of repetitions for a wake up signal (WUS) for the UE, and cause a WUS for UE to be transmitted to a radio access network (RAN) node corresponding to the UE. The RAN node may inform the MME that the RAN node has disabled the WUS feature, and may cause system information to be broadcast to UEs in IDLE mode, indicating that the WUS feature of the RAN node has been disabled. A UE may determine a paging occasion (PO) determine a maximum WUS duration, minimum offset, and start location of the WUS.

Abstract: Examples described herein relate to dynamically composing an application as a monolithic implementation or two or more microservices based on telemetry data. In some examples, based on composition of an application as two or more microservices, at least one connection between microservices based on telemetry data is adjusted. In some examples, a switch can be configured to perform forwarding of communications between microservices based on the adjusted at least one connection between microservices.

Abstract: Methods and apparatus to provide power management for multi-die stacks using artificial intelligence are disclosed. An example integrated circuit (IC) package includes a computer processor unit (CPU) die, a memory die, inference engine circuitry within the CPU die, the inference engine circuitry to infer, based on a first machine learning model, a workload for at least one of the CPU die or the memory die, and power management engine circuitry within the CPU die, the power management engine circuitry distinct from the inference engine circuitry, the power management engine circuitry to adjust, based on a second machine learning model different than the first machine learning model, operational parameters associated with the at least one of the CPU die or the memory die, the inferred workload to be an input to the second machine learning model.

Abstract: System and techniques for network slice resiliency are described herein. An indication of a fault-attack-failure-outage (FAFO) event for a network slice may be received. Here, the network slice is one of multiple network slices. A capacity in a slice segment may be estimated to determine whether there is enough capacity to meet a service level agreement (SLA) of the multiple network slices based on the FAFO event. In this case, the slice segment is a set of physical resources shared by the multiple network slices. Operation of the slice segment may then be modified based on results from estimating the capacity in the slice segment to address impacts from the FAFO event.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: In one embodiment, a node of a data centric network (DCN) may receive a first service request interest packet from another node of the DCN, the first service request interest packet indicating a set of functions to be performed on source data to implement a service. The node may determine that it can perform a particular function of the set of functions, and determine, based on a backlog information corresponding to the particular function, whether to commit to performing the particular function or to forward the service request interest packet to another node. The node may make the determination further based on service delivery information indicating, for each face of the node, a service delivery distance for implementing the set of functions.

Abstract: Systems and methods of reducing power consumption associated with paging or cDRX mode are described. A wake-up receiver (WUR) wakes up from an idle mode or cDRX state. Whether a wake-up signal (WUS) has been received by the WUR is determined. The WUS is a low-complexity signal that is less complicated than a PDCCH or PDSCH and is repeated multiple times at resource elements as indicated in a configuration from an eNB. If received, a baseband transceiver wakes up for reception of a PDCCH for the UE in a PO when the UE is in the idle mode or a PDSCH for the UE when the UE is in the cDRX state.

Abstract: In one embodiment, an apparatus comprises a network interface and a processor. The processor is to: receive, via the network interface, a plurality of data streams to be routed over a network, wherein the plurality of data streams correspond to sensor data captured by a plurality of sensors; identify, from the plurality of data streams, a set of related data streams that are contextually related; identify a convergence function to be performed on the set of related data streams, wherein the convergence function is for transforming the set of related data streams into a converged data stream that is smaller in size than the set of related data streams; perform the convergence function to transform the set of related data streams into the converged data stream; and route, via the network interface, the converged data stream to one or more corresponding destinations over the network.

Abstract: Methods and apparatus to implement efficient memory storage in multi-die packages are disclosed. An example multi-die package includes a multi-die stack including a first die and a second die. The second die is stacked on the first die. The multi-die package further includes a third die adjacent the multi-die stack. The multi-die package also includes a silicon-based connector to communicatively couple the multi-die stack and the third die. The silicon-based connector includes at least one of a logic circuit or a memory circuit.

Abstract: Methods and apparatus to provide power management for multi-die stacks using artificial intelligence are disclosed. An example multi-die package includes a computer processor unit (CPU) die, a memory die stacked in vertical alignment with the CPU die, and artificial intelligence (AI) architecture circuitry to infer a workload for at least one of the CPU die or the memory die. The AI architecture circuitry is to manage power consumption of at least one of the CPU die or the memory die based on the inferred workload.

Abstract: An apparatus, one or more computer readable media, a distributed edge computing system, and a method. The apparatus includes one or more processors to determine dependencies between sets of tasks of a plurality of tasks to be executed by a plurality of cores of a network; determine latency deadlines of respective ones of the plurality of tasks; and determine an allocation of individual ones of the plurality of among the plurality of cores for execution based on the dependencies and based on the latency deadlines.

Abstract: Systems and methods of reducing power consumption associated with paging or cDRX mode are described. A wake-up receiver (WUR) wakes up from an idle mode or cDRX state. Whether a wake-up signal (WUS) has been received by the WUR is determined. The WUS is a low-complexity signal that is less complicated than a PDCCH or PDSCH and is repeated multiple times at resource elements as indicated in a configuration from an eNB. If received, a baseband transceiver wakes up for reception of a PDCCH for the UE in a PO when the UE is in the idle mode or a PDSCH for the UE when the UE is in the cDRX state.

Abstract: Technologies for dynamic wireless noise mitigation include a computing device having a wireless modem and one or more antennas. The computing device activates one or more components of the computing device, monitors platform activity, and measures wireless noise received by the antennas. The computing device trains a noise prediction model based on the platform activity and the measured noise. The computing device may monitor platform activity and predict a noise prediction with the noise prediction model based on the monitored activity. The computing device may mitigate wireless noise received by the wireless antennas based on the noise prediction. The computing device may provide the noise prediction to the wireless modem. Other embodiments are described and claimed.

Abstract: Systems and techniques for cross-layer automated fault tracking and anomaly detection are described herein. Anomaly data may be obtained from a plurality of layers of a network. Elements of the anomaly data may be identified that correspond to a data flow of an application executing on the network. An artificial intelligence model may be trained using the elements of the anomaly data to generate an impact score for the application. The impact score may be generated for the application by evaluating current network metrics using the artificial intelligence model. An operational component of the network may be modified based on the impact score.

Abstract: System and techniques for publisher control in an information centric network (ICN) are described herein. Named data criteria to identify data for a workload may be constructed. A discriminator for potential publishers of the data may be constructed. An interest packet may be transmitted based on the named data criteria and the discriminator and a response to the interest packet received from one of the potential publishers.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: System and techniques for information centric network (ICN) implemented content data networks (CDNs) are described herein. A directive to initiate a cache operation for content may be received at a gateway of an ICN. An interest packet may be constructed based on the directive. The interest packet may be transmitted on the ICN and a response to the interest packet received. Here, the response has a payload that corresponds to the content. The payload then may be cached at a local repository of the gateway.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.