Abstract: A framework for dynamic network resource allocation and energy saving based on the real-time environment, radio network information, and machine learning (ML) can be utilized via a radio access network (RAN) intelligent controller (RIC). Real-time and predicted network utilization can facilitate resource and energy savings by leveraging the RIC platform. For example, a network information base (NIB) in the RIC platform can collects RAN and user equipment (UE) resource related information in real time and provides the abstraction of the access network in the real time. ML can predict real-time information about the UEs at time t based on data analytics and real time radio resource needs. The RIC can then instruct the network to reduce or increase resources.

Abstract: A mobile device enabled tiered data exchange via a vehicle is disclosed. A mobile device can access profile information related to a tiered-data sharing profile. The tiered-data sharing profile can associate data with a sharing tier designating security, privacy, or authorization constraints on sharing the associated data. A sharing tier can further designate obfuscation of the data as a constraint on sharing the data. The mobile device can enable access to the data subject to the constraints of the tiered-data sharing profile. In an embodiment, tiered data can be shared from the mobile device to an external service device via vehicle device. In another embodiment, tiered data can be shared from the mobile device to a service device of the vehicle.

Abstract: A user equipment can send a notification to a network node indicating that the user equipment is entering a battery saving mode of operation. Reduced physical layer procedures can be implemented based on reduced capabilities indicated by the user equipment. Reduced physical layer procedures can also be implemented based on the network node's reconfiguration of parameters to facilitate the activation of the reduced physical layer procedures. The user equipment can also send to the network node recommendations of reduced physical layer procedures.

Abstract: Dynamic customization of an autonomous vehicle experience is presented herein. A dynamic recommendation engine can comprise a subscriber interface component, a data component, and a configuration component. The subscriber interface component can receive, from a subscriber of an autonomous vehicle service, a request specifying a route of transport by an autonomous vehicle; and based on the request, the data component can obtain, via a network slice comprising a virtual network function of the autonomous vehicle service, profile information for the subscriber and route information for the route. Further, the configuration component can determine, via the network slice based on the profile information and the route information, configuration data for the autonomous vehicle, and send, via the network slice, the configuration data directed to the autonomous vehicle to facilitate the transport by the autonomous vehicle.

Abstract: A system for exploiting visual information for enhancing audio signals via source separation and beamforming is disclosed. The system may obtain visual content associated with an environment of a user, and may extract, from the visual content, metadata associated with the environment. The system may determine a location of the user based on the extracted metadata. Additionally, the system may load, based on the location, an audio profile corresponding to the location of the user. The system may also load a user profile of the user that includes audio data associated with the user. Furthermore, the system may cancel, based on the audio profile and user profile, noise from the environment of the user. Moreover, the system may include adjusting, based on the audio profile and user profile, an audio signal generated by the user so as to enhance the audio signal during a communications session of the user.

Abstract: A framework of abstraction of new and existing 5G radios can enhance capabilities of new and existing micro radios and other short range radio technologies to enable intelligent service delivery, dynamic access learning capability, and network slicing over 5G access networks. Enhancing layer communication for both control and user plane can be tunneled through the hosting layer and exploit a common transport provided by the hosting layer. The tunneling through the hosting layer can also enable the enhance capabilities to access the same radio management functions and can be orchestrated by the same core function.

Abstract: A resource upgrade predictor can be operable to receive, from a first network node device, traffic information. Based on the traffic information, the resource upgrade predictor can obtain network utilization data related to other network node devices having a similar interference characteristic (e.g., signal-to-noise ratio) to the first network node device. The resource upgrade predictor can use this network utilization data to determine a demand (e.g., demand level, demand point) at which at least a defined value related to a transmission link capacity associated with transmissions between the first network node device and the user equipment, is attained (e.g., a percentage of physical resource block loading).

Abstract: A mobile edge computing (MEC) architecture can facilitate utilization of virtual multi-point non-internet protocol (IP) connections in radio access networks (RAN). Thus, the same mobile device can be addressed with multiple radio access technologies (RATs). The MEC can provide service continuity in multi-access technologies using virtual session, and the MEC can terminate a main session between a core network and the MEC, for the mobile device, via a single IP address, Based on the services and the states of the access network in the multi-access environment, the MEC can dynamically select the RAT and access point as the target to deliver the service over the RAN.

Abstract: The disclosed subject matter relates to techniques for determining channel state information (CSI) in New Radio (NR) access communication systems with phase tracking. In one embodiment, a method is provided that comprises receiving, by a device comprising a processer, configuration information from a network device of a wireless communication network indicating that a PTRS protocol has been configured for wireless communications between the device and the network device. The method further comprises, determining, by the device, a resource density of resource elements of the wireless communication network allocated for the phase tracking reference signal protocol, determining, by the device, CSI based on the resource density, and reporting, by the device, the CSI to the network device.

Abstract: Example methods, apparatus, systems, and machine-readable mediums for an artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices are disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

Abstract: Apparatus, methods and systems facilitating communications via a mobile internet-enabled connection interface are provided. One apparatus is configured to perform various operations, including performing a first type of security function associated with determining whether an information package is authorized to be received and downloaded to a device other than the apparatus, wherein the information package is associated with updating a functionality of the device; and performing a second type of security function associated with identifying an authorized user of the apparatus.

Abstract: Various embodiments provide for encoding and decoding control link information with polar codes where the frozen bits of the information block can be set to the device identification number instead of being set to null. The frozen bits can be identified based on the type of polar code being used, and while the non-frozen bits can be coded with the channel state information, the frozen bits can be coded with the device ID. In an example where there are more frozen bits than bits in the device ID, the most reliable of the frozen bits can be coded with the device ID. In another example, the frozen bits can be set to the CRC bits, which can then be masked by the device ID.