Abstract: System and techniques for capability discovery in an information centric network (ICN) are described herein. An ICN node receives a discovery packet that includes a discovery type corresponding to an indication of a node capability requested by a source node of the discovery packet. First capability data, from an intermediate node, is extracted from the discovery packet. The first capability data is stored locally by ICN node. Second capability data from the ICN node is added to the discovery packet to create an expanded discovery packet. The expanded discovery packet is then communicated by the ICN node.

Abstract: Apparatuses of a user equipment (UE), a cellular base station, and radio access network (RAN) nodes are disclosed. An apparatus of a wireless communication device includes circuitry configured to measure reference signals received from a plurality of antennas of an other wireless communication device, and circuitry configured to cause one or more antennas of the wireless communication device to transmit information regarding the received reference signals back to the other wireless communication device to enable the other wireless communication device to estimate a utility function for different transmit parameter sets.

Abstract: Systems and methods of beamforming and improving mmWave communications for drones are described. Multiple RF chains are used to adapt the main beam to track changes without the use of pilot signals. To reduce interference, interfering signal power is eliminated by optimizing a non-Gaussian measure to extract the interferers. The AoA of signals from a target drone on neighbouring drones and location of the neighbouring drones and base stations are used to independently corroborate the location reported by the target drone. The base station provides additional synchronization signals below 6 GHz and restricts the search/measurement space in the vertical direction. The inherent sparse structure above 6 GHz is exploited by applying different beamformers on a sounding signal and estimating the AoA and impulse response. Variations of fully digital and hybrid beamforming architectures for multi-cell DL sync and CRS measurement are described.

Abstract: Embodiments of the present disclosure are directed towards devices and methods for identifying preferred access networks based at least in part on access network information including access network assistance information, steering policies, or access commands. In some embodiments, conflicts between access network information and access network discovery and selection function (ANDSF) policies may be rectified in identifying a preferred access network.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: A device to train a hyperdimensional computing (HDC) model may include memory and processing circuitry to train one or more independent sub models of the HDC model and transmit the one or more independent sub models to another computing device, such as a server. The device may be one of a plurality of devices, such as edge computing devices, edge or Internet of Things (IoT) nodes, or the like. Training of the one or more independent sub models of the HDC model may include transforming one or more training data points to one or more hyperdimensional representations, initializing a prototype using the hyperdimensional representations of the one or more training data points, and iteratively training the initialized prototype.

Abstract: System and techniques for device-specific connections in an information centric network (ICN) are described herein. A device is detected on a physical interface at an ICN node. A virtual interface is created for the device on the physical interface and the virtual device is added to a forward information base (FIB) entry. Then, when an interest packet with a name that corresponds to the device is received, the interest packet is forwarded to the device through the physical interface using the virtual interface based on the FIB entry.

Abstract: Packet recovery mechanisms for wireless networks, which improve end-to-end (e2e) reliability, are provided. First embodiments include packet retransmission between a receiver and a transmitter, wherein, if the transmitter cannot find a lost packet in its transmission buffer, the transmitter sends a First Sequence Number (FSN) report to the receiver to notify the receiver of a sequence number (SN) of an oldest (acknowledged) packet in the buffer. In response, the receiver does not report lost packets whose SN is older than the FSN. Second embodiments involve using a network coding algorithm to recover lost packets, wherein the transmitter sends a control message to the receiver that includes a coded packet to be recovered and information for decoding the coded packet. Other embodiments may be described and/or claimed.

Abstract: Apparatuses, methods and storage medium associated with computer-assisted or autonomous driving (CA/AD) vehicles are disclosed herein. In embodiments, CA/AD vehicles are members of a CA/AD vehicle social network (CASN) in which various CA/AD vehicles may form connections or relationships with one another. CA/AD vehicles that have an existing relationship or connection may share CASN information with one another. The CASN information may include authenticated and/or proprietary information. Other embodiments are also described and claimed.

Abstract: System and techniques for orchestrating a service with an interest packet in information centric networking are described herein. The interest packet includes a compound name that includes multiple ICN name components, and the interest packet includes a field with a list of ICN components. A device, after receiving the interest packet, locates an ICN name component from the multiple ICN name components that is represented in the list of ICN components. The device may then select an interface from multiple interfaces available to the device, the selection based on the ICN name component. The device may then transmit the interest packet via the interface.

Abstract: A wireless communication device includes a processor configured to select an offload processing task for performance by an edge computing device; cause a baseband modem to establish a direct wireless connection between the wireless communication device and the edge computing device; cause the baseband modem to send first data to the edge computing device via the direct wireless connection; and receive second data from the edge computing device, wherein the second data comprise a result of the offload processing task performed on the first data. The edge computing device includes a processor configured to receive, from a user device, offloaded data to be processed according to an offload processing task; execute the offload processing task on the offloaded data; and cause the radio via the interface to wirelessly send a result of the executed offload processing task via a direct wireless connection with the user device.

Abstract: A central trajectory controller including a cell interface configured to establish signaling connections with one or more backhaul moving cells and to establish signaling connections with one or more outer moving cells, an input data repository configured to obtain input data related to a radio environment of the one or more outer moving cells and the one or more backhaul moving cells, and a trajectory processor configured to determine, based on the input data, first coarse trajectories for the one or more backhaul moving cells and second coarse trajectories for the one or more outer moving cells, the cell interface further configured to send the first coarse trajectories to the one or more backhaul moving cells and to send the second coarse trajectories to the one or more outer moving cells.

Abstract: Systems and methods for dynamic compute orchestration include receiving, at a network node of an information centric network, a first interest packet comprising a name field indicating a named function and one or more constraints specifying compute requirements for a computing node to execute the named function, the first interest packet received from a client node. A plurality of computing nodes are identified that satisfy the compute requirements for executing the named function. The first interest packet is forwarded to at least some of the plurality of computing nodes. Data packets are received from at least some of the plurality of computing nodes in response to the first interest packet. One of the plurality of computing nodes is selected based on the received data packets, and a second interest packet is sent to the selected one of the plurality of computing nodes instructing the selected one of the plurality of compute nodes to execute the named function.

Abstract: A communication device for multi-radio access technology (RAT) communications includes one or more processors and a plurality of transceivers. Each transceiver is configured to operate in at least one RAT of a plurality of RATs. The processors are configured to establish connection with a second communication device using a first transceiver of the plurality of transceivers and a first RAT of the plurality of RATs. A first data stream associated with a communication link connected to the second communication device and a third communication device is receive via a convergence function at the second communication device. The communication link uses a second RAT of the plurality of RATs. A code sequence is applied to a second data stream to generate an encoded second data stream, which is transmitted to the third communication device via a second communication link established based on information received via the first data stream.

Abstract: Techniques for non-linear distributed multitask support vector machines are disclosed. In the illustrative embodiment, a coordinator node sends initial parameters (or a random number generator along with model choice) for a global model to participant nodes. Each participant node performs a round of training based on the common global model parameters, the model models, and local data. Each participant node determines updated parameters for the global model and updated parameters for a local model. Each participant node sends an update of the parameters to the global model to the coordinator node, while keeping the parameters of the local model private. The coordinator node aggregates the updates from the participant nodes, updates the global model parameters, and sends them back to the participant nodes. The process can repeat until a desired error level is reached.

Abstract: Briefly, in accordance with one or more embodiments, an apparatus of a user equipment (UE) comprises baseband circuitry including one or more processors to decode a secondary synchronization signal (SSS) or a beam reference signal (BRS) received from an evolved Node B (eNB) to select a Tier-1 sector for receiving downlink transmissions from the eNB, decode a downlink control channel message received from the eNB at one or more fixed time offsets after the UE decodes the SSS to obtain index information for the Tier-1 sector to identify the Tier-1 sector, and if the Tier-1 sector has changed initiate a random access procedure to select an updated Tier-1 sector, and generate an updated Tier-1 sector index message to report to the eNB.

Abstract: Apparatuses, methods and storage medium associated with computer-assisted or autonomous driving (CA/AD) vehicles are disclosed herein. In embodiments, CA/AD vehicles are members of a CA/AD vehicle social network (CASN) in which various CA/AD vehicles may form connections or relationships with one another. CA/AD vehicles that have an existing relationship or connection may share CASN information with one another. The CASN information may include authenticated and/or proprietary information. Other embodiments are also described and claimed.

Abstract: According to various examples, a communication system is described comprising a receiver configured to receive, for each of a plurality of object classes, via a wireless communication channel shared among transmitters of a respective set of transmitters, a superposition of transmitted hyperdimensional code words, comprising, for each transmitter of the respective set of transmitters, a hyperdimensional code word transmitted via the wireless communication channel and encoding data of an object of the object class acquired by the transmitter, a memory configured to store, for each of the plurality of object classes, the received superposition in association with the class, a processor configured to classify a hyperdimensional code word representing an object to be classified by correlating the hyperdimensional code word with each stored superposition and to generate a classification result corresponding to the object class associated with a superposition fulfilling a predetermined criterion based on correlation

Abstract: A device may include a processor that includes a named data network (NDN) forwarding daemon (NFD) module. The NFD module may be configured to identify an accelerator on which to configure an offloaded NFD module based on a configuration table indicating a current configuration of the accelerator. The NFD module may be configured to configure the offloaded NFD module on the identified accelerator. The NFD module may be configured to receive an interest packet that includes a workload request. The interest packet may be configured according to an NDN protocol. The NFD module may be configured to determine that the offloaded NFD module is configured to perform the workload request using the identified accelerator based on the configuration table. The NFD module may be configured to offload, via an application programming interface, the workload request to the offloaded NFD module to perform the workload request using the identified accelerator.

Abstract: A task modeling system, including a plurality of processing clients having a plurality of processing cores; a task modeler, including a memory storing an artificial neural network; and a processor, configured to receive input data representing a plurality of processing tasks to be completed by the processing client within a predefined time duration; and implement its artificial neural network to determine from the input data an assignment of the processing tasks among the processing cores for completion of the processing tasks within the predefined time duration, and determine a power management factor for each of the plurality of processing cores for power management during the predefined time duration; wherein the artificial neural network is configured to select the power management factor for each of the plurality of processing cores to achieve a power usage within a predefined threshold for the plurality of processing cores during the predefined time duration.