Abstract:
Embodiments of methods and apparatus for providing downlink channel parameters determination for downlink channels associated with a multiple-input-multiple-output (MIMO) system are generally described herein. Other embodiments may be described and claimed.
Abstract:
A component of an intelligent transportation infrastructure system, the component including: processing means; and a non-transitory computer-readable storage medium including instructions that, when executed by the processing means, cause the processing means to: receive, from a vehicle having autonomous driving capabilities, an autonomous driving disengagement request message; determine, based on perception data or analytics related to the vehicle or a vicinity of the vehicle, a disengagement level of a multiple-disengagement-level protocol and a corresponding post-disengagement vehicle action; and transmit to the vehicle an autonomous driving disengagement response message including a post-disengagement vehicle action instruction.
Abstract:
Systems and techniques for information centric network (ICN) interworking are described herein. For example, a request may be received at a convergence layer of a node. Here, the request originates from an application on the node. A network protocol, from several available to the node, may be determined to transmit the request. The node then transmits the request via the selected network protocol.
Abstract:
Methods, apparatus, systems, and articles of manufacture are disclosed to improve distributed machine learning efficiency. An example apparatus includes train management circuitry to cause a first vector to be sent from a worker node to an in-network-aggregator (INA) after completion of a first processing iteration requested by a parameter server. The example apparatus also includes protocol configuration circuitry to prohibit a second processing iteration when an availability status of the INA is false, and permit the second processing iteration when (a) an acknowledgement (ACK) from the INA corresponding to the first vector is received and (b) the availability status of the INA is true.
Abstract:
To address technical problems facing managing multiple sources of information from multiple vehicles, vehicular computing power may be exploited to process such information before sharing with others, which may help reduce network traffic overhead. A technical solution to improve this information processing over vehicular networks by using a hybrid Named Function Network (NFN) and Information Centric Network (ICN), such as in a hybrid NFN/ICN. An NFN may be used to orchestrate computations in a highly dynamic environment after decomposing the computations into a number of small functions. A function may include a digitally signed binary supplied by a car vendor or other trusted authority and executed within a controlled environment, such as a virtual machine, container, Java runtime-environment, or other controlled environment.
Abstract:
Systems and techniques for quality-of-service (QoS) in cellular information centric network (ICN) are described herein. To this end, QoS characteristics may be obtained for an ICN packet. The QoS characteristics may then be applied to the ICN packet. The ICN packet may then be transmitted in accordance with the QoS characteristics.
Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed to validate data communicated by a vehicle. An example apparatus an anomaly detector to, in response to data communicated by a vehicle, at least one of compare an estimated speed with a reported speed or compare a location of the vehicle with a reported location. The apparatus including the anomaly detector further to generate an indication of the vehicle in response to the comparison. The apparatus further includes a notifier to discard data sent by the vehicle and notify surrounding vehicles of the data communicated by the vehicle.
Abstract:
Methods are described for providing routing updates in information-centric networks (ICNs) by using a centralized ICN routing coordination unit to exchange updated routing tables with certain popular nodes in popular node segments, by using a routing coordinator that executes an NFN execution plan, or by flooding an ICN-Route-Discovery-Request over multiple ICN route segments between first and second popular nodes, the second node selecting one of the ICN route segments and responding to the ICN-Route-Discovery-Request by sending a unicast Route-Discovery-Response to the first node over the selected one of the ICN route segments. Other methods for providing context aware forwarding for dynamic ICNs such as vehicular networks, RTT estimation for ICNs, and machine learning techniques for optimizing/compressing a forwarding information based in an ICN node are also provided.
Abstract:
To address technical problems facing producer and consumer mobility in cellular ICN/NDN networks, a technical solution includes leveraging device tracking during handover in the cellular system to optimize cache replacement and route updates during handover. This solution also improves performance by advance caching and route update during mobility handling, which reduces or eliminates interest packet flooding and latency for upcoming potential content request and retrieval. This solution also improves performance by operating based on the observed popularity of the content, and based on the mobility patterns of the consumer and producer.
Abstract:
Techniques are provided for optimizing the operations of an ICN, particularly for an ICN with clustered nodes. A cluster head node may function as an orchestrator and a coordinator for efficient caching, routing, and computing and for co-existence of ICN and IP nodes in the network. A content store of an ICN router may include an indication of the time after which data expires and the new data is to be swapped in place of the expired data after that point in time. Digital rights management (DRM) enforcement is provided by managing access to a DRM engine in at least one of the ICN nodes in a cluster. Congestion control is provided by minimizing the number of ICN scoped interest requests and thereby minimizing the potentially high volume of data responses. These techniques optimize interest packet forwarding and processing through collaboration with neighboring ICN nodes.