Abstract:
Devices and methods power configurations of radio communication devices. A device may include a memory storing communication activity data comprising information indicating a plurality of attributes with respect to communication activities over a radio connection between a user equipment (UE) and a base station (BS). The device may further include a processor that is configured to provide the communication activity data to a trained machine learning model configured to predict a communication activity for the radio connection between the UE and the BS and encode a power preference information for transmission to the BS based on the predicted communication activity.
Abstract:
A device may include a processor configured to extract semantic information from received data, generate one or more data elements based on the extracted semantic information for an instance of time, generate metadata associated with the generated one or more data elements, schedule a transmission of the one or more data elements and the metadata according to a scheduling configuration, and encode scheduling information indicating the scheduling configuration for the transmission.
Abstract:
A device may include a processor configured to obtain context information of a plurality of nodes that are configured to communicate according to a publish and subscribe pattern, wherein the context information represents attributes associated with services that each node is able to provide for a collaboration with a further node; determine, in response to a received collaboration request representative of one or more conditions of a collaboration sought by a requester node, one or more nodes of the plurality of nodes that meet the one or more conditions of the collaboration based on the context information of the plurality of nodes; and encode discovery information for a transmission to the requester node, wherein the discovery information is representative of an attribute required to communicate with the determined one or more nodes according to the publish and subscribe pattern.
Abstract:
Methods and apparatuses for communicating in a wireless network include receiving full and differential System Information Blocks (SIBs) and updating a parameter that has changed based on the differential SIB. Further apparatuses include control circuitry to generate a first SIB and second SIB, the second SIB indicating information that has changed. Further, a method includes generating a full SIB and generating a differential SIB based on updated parameters.
Abstract:
A device may include a memory configured to store channel quality data comprising information indicating a quality of a communication channel between a base station (BS) and a user equipment (UE). The device may further include a processor configured to provide an input comprising the channel quality data to a machine learning model configured to predict a channel quality indicator (CQI) based on the input and encode a channel quality information based on the predicted CQI for a transmission to the BS.
Abstract:
A device may include a processor. The processor may sample a portion of a workload to offload to compute resources and a portion of a current workload of the compute resources. The processor may simulate offloading of the workload to the compute resources using the sampled portion of the workload, the sampled portion of the current workload, and telemetry data corresponding to the compute resources. The compute resources may be configured to perform the workload according to a plurality of offloading configurations. The processor may determine a rank score for each offloading configuration of the plurality of offloading configurations based on the simulations. Responsive to a rank score corresponding to an offloading configuration of the plurality of offloading configurations exceeding a threshold value, the processor may offload the workload to the compute resource corresponding to the offloading configuration that corresponds to the rank score that exceeds the threshold value.
Abstract:
The present disclosure relates to a device for use in a wireless network, the device including: a processor configured to: provide input data to a trained machine learning model, the input data representative of a network environment of the wireless network, wherein the trained machine learning model is configured to provide, based on the input data, output data representative of an expected performance of a plurality of configurations of network components with respect to power consumption and performance of the wireless network; select a configuration of a network component from the plurality of configurations based on the output data of the trained machine learning model; and instruct an operation of the network component according to the selected configuration; and a memory coupled with the processor, the memory storing the input data provided to the trained machine learning model and/or the output data from the trained machine learning model.
Abstract:
A mobile device may include a processor. The processor may be configured to determine a plurality of channel measurements of a serving channel and a candidate channel. The serving channel may include a channel between the mobile device and a serving base station. The candidate channel may include a channel between the mobile device and a candidate base station. The processor may also determine a probability of a handover (HO) condition based on the plurality of channel measurements. Responsive to the probability of the HO condition exceeding a threshold value, the processor may provide a HO request message to the serving base station to initiate a HO process for the mobile device to connect to the candidate base station.
Abstract:
This disclosure describes systems, methods, and devices related to dynamic channel bonding and multi-band aggregation. A device may determine a plurality of aggregated medium access control (MAC) protocol data unit (A-MPDU) subframes to send to a station device including a first A-MPDU subframe and a second A-MPDU subframe. The device may determine a quiet period between the first A-MPDU subframe and the second A-MPDU subframe. The device may cause to send the plurality of A-MPDU subframes to the station device on a first channel. The device may determine a status of a second channel during the quiet period. The device may cause to send the second A-MPDU subframe to the station device using a multi-band transmission on the first channel and the second channel.
Abstract:
Technology for a mobile station (MS) configured for cellular Internet of Things (CIoT) is disclosed. The MS can receive a ready state discontinuous reception (RS-DRX) configuration message from a base station, wherein the RS-DRX configuration message includes one or more RS-DRX parameters. The MS can initiate RS-DRX based on the one or more RS-DRX parameters included in the RS-DRX configuration message. The RS-DRX can enable the MS to be in a packet idle state of a ready state in between data communications by the MS with the base station. The MS can be configured to periodically switch from a defined sleep duration to a defined ON duration during the packet idle state of the ready state and check for downlink or uplink packet arrivals.