Patent classifications
H04W72/50
System and method for joint power and resource allocation using reinforcement learning
Systems and methods for joint power and resource allocation on a shared 5G channel. The method selects one of a group of grouped actions and implements this selected group of actions. The effects of the actions on the environment and/or the users are then assessed. Based on the result, a reward is allocated for the system. Multiple iterations are then executed with a view to maximizing the reward. Each of the grouped actions comprises joint power and resource allocation actions.
DATA SCHEDULING METHOD AND APPARATUS
A data scheduling method and apparatus. The method includes: allocating, by an access point (AP), at least one of a plurality of primary channels to each of a plurality of stations (STAs), where active access is forbidden on the plurality of primary channels; and synchronously scheduling, by the AP, a STA on a channel including at least one idle primary channel, where the synchronously scheduled STA is a STA allocated to the at least one idle primary channel, and the at least one idle primary channel is at least one of the plurality of primary channels. The AP sets the plurality of primary channels, so that the AP can flexibly schedule the station by using the idle primary channel. This avoids a problem caused by setting only one primary channel, thereby improving data transmission efficiency.
OPTIMIZING OF SCHEDULING
Provided is a method for a user equipment (UE), comprising: receiving request for scheduling assistance from a base station, wherein the request for scheduling assistance comprises scheduling configuration to be applied to a set of flows of a scheduled terminal on an application layer; informing the scheduled terminal of the scheduling configuration; receiving scheduling assistance information from the scheduled terminal, wherein the scheduling assistance information is generated by the scheduled terminal based on the set of flows of the scheduled terminal on the application layer; and transmitting the scheduling assistance information to the base station.
METHOD, DEVICE, AND SYSTEM FOR SIDELINK RESOURCE SELECTION
This disclosure above describes a method, a device, and a system for sidelink communication. Performed by a first UE, the method includes initiating a sidelink data transmission session with a second UE which is running in a DRX mode; and selecting a first transmission resource within a first active time of the second UE for transmitting a first data packet of the sidelink data transmission session to the second UE. The disclosure describes various embodiments which support: sidelink transmission resource selection in DRX mode; sidelink transmission resource selection/re-selection; inter-UE coordination for transmission resource selection; logical channel prioritization; and assisting information reporting via shared transmission resource, etc.
POWER HEADROOM REPORTING FOR DYNAMIC POWER AGGREGATION
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive control signaling, such as a control message or radio resource control (RRC) signaling, from a base station indicating a time interval over which to determine available power headroom relative to a transmission power threshold. The UE may calculate the available power headroom relative to the transmission power threshold as a function of UE transmission power during the time interval. The UE may transmit a power headroom report in an uplink transmission to the base station, the power headroom report indicating the calculated available power headroom. The base station may schedule one or more uplink messages at the UE according to the available power headroom.
DL AND UL COLLISION HANDLING
This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for collision handling. A first network node receives a first allocation of first resources at a first time and receives a second allocation of second resources at a second time, wherein the first time is before the second time, wherein one or more of the first resources overlap in a time domain and a frequency domain with one or more of the second resources, and wherein the first resources are uplink resources and the second resources are downlink resources or the first resources are downlink resources and the second resources are uplink resources. The first network node adjusts for the overlap in the time domain and the frequency domain between the first allocation of first resources and the second allocation of second resources.
Reusing PDSCH TCI and QCL for dynamic coresets
Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for determining quasi co-location (QCL) and/or transmission configuration information (TCI) state assumption information for a dynamic control resource set (CORESET). In some cases, if certain conditions are met, a user equipment (UE) may follow QCL assumptions for a physical downlink shared channel (PDSCH) scheduled by a same PDCCH that indicated the dynamic CORESET. An example method by a UE generally includes receiving at least one downlink control information (DCI), of a first physical downlink control channel (PDCCH), that schedules at least one dynamic CORESET; and receiving a second PDCCH in the dynamic CORESET, wherein the UE is to apply at least one QCL assumption associated with a PDSCH for the at least one dynamic CORESET if one or more conditions are met.
USER EQUIPMENT BEHAVIOR WHEN USING MACHINE LEARNING-BASED PREDICTION FOR WIRELESS COMMUNICATION SYSTEM OPERATION
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may identify a failure associated with a machine learning prediction for one or more network parameters; report, to a base station, failure information regarding the failure associated with the machine learning prediction; receive, from the base station, response information identifying an alteration to a communication configuration as a response to the failure associated with the machine learning prediction; and implement the alteration to the communication configuration based at least in part on receiving the response information. Numerus other aspects are provided.
SYSTEMS AND METHODS FOR MULTIPLEXING MULTIPLE WIRELESS TECHNOLOGIES IN RESOURCE CONSTRAINED ENVIRONMENT BASED ON SPECTRAL UTILIZATION
With advanced compute capabilities and growing convergence of wireless standards, there is requirement to run multiple wireless standards, e.g., 4G, 5G, and Wi-Fi, on a single hardware together. Typical solution includes reserving some computing resources for specific wireless standards. Such a resource strategy may not be optimized or efficient according to the real needs for various wireless standards. The present disclosure presents embodiments of using a unified resource controller to take multiple scheduling inputs across various wireless standards, allocate resources among a plurality of configurable processing units, and manage hardware components for data path accelerations including forward error correction, and signal processing implementation. The multiplexing multiple wireless technologies based on spectral utilization may improve the efficiency in power consumption and hardware resources utilization.
Signaling for sub-slot time-domain resource allocation
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine that signaling associated with a resource allocation is associated with a service type. The UE may identify a time-domain resource, for a transmission associated with the service type, in connection with determining that the signaling associated with the allocation is associated with the service type. Numerous other aspects are provided.