The techniques described herein provide procedures at user equipment (UEs) for performing channel state information (CSI) reporting and sounding reference signal (SRS) transmissions based on an ultra-reliable low latency communication (URLLC) block error rate (BLER) target and for reliably receiving PDCCH transmissions. For CSI reporting, a UE may be configured to generate a CSI report based on a BLER target and on received CSI reference signals (CSI-RSs), where the CSI-RSs may be transmitted on one or more groups of quasi co-located antenna ports. For SRS transmissions, a UE may be configured to transmit SRS based on an SRS configuration determined based on a BLER target. For receiving PDCCH transmissions, a UE may be configured to receive and combine DCI received from multiple base stations.

Aspects described herein relate to activating, by a user equipment (UE), or causing activation of, by a base station, one or more antenna panels at the UE. An action time for activating or deactivating the one or more antenna panels may also be used to allow processing time related to activation or deactivation of the antenna panels.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine one or more beam metric values for one or more beams that are monitored by the UE, wherein the one or more beam metric values correspond to one or more of a beam power management maximum power reduction (P-MPR) metric, a beam uplink reference signal receive power (RSRP) metric, or a beam virtual power headroom metric; and transmit a report based at least in part on the one or more beam metric values. Numerous other aspects are provided.

According to one or more embodiments, a network node configured to communicate with a wireless device is provided. The network node includes processing circuitry configured to: receive multilayer feedback; determine a beamformer for transmission of a first quantity of transmission layers where the beamformer is based at least on information, in the multilayer feedback, that is associated with a second quantity of transmission layers, where the first quantity of transmission layers is a less than the second quantity of transmission layers; and cause the transmission using the beamformer.

A method and network node for distributed coordinated downlink precoding for multi-cell multiple input multiple output (MIMO) wireless network virtualization are disclosed. According to one aspect, a network node is configured to, in each of a plurality of successive transmission time periods: transmit to each of a plurality of SPs a corresponding set of channel information; receive from each of the plurality of SPs a service demand and a normalized precoding matrix, the normalized precoding matrix being determined by the corresponding SP based on the corresponding set of channel information; allocate a virtual transmit power to each of the plurality of SPs based at least in part on the received service demands and normalized precoding matrices; and determine a downlink precoding matrix to transmit messages to WDs, the downlink precoder matrix being based at least in part on the received service demands and normalized precoding matrices.

A method of wireless communication may include a UE and a base station. The base station may transmit at least one BFD-RS to the UE and the UE may receive at least one BFD-RS from a base station. The UE may transmit an aperiodic BFI report to the base station prior to a beam failure detection. The base station may determine that an early beam failure occurred and initiate a beam failure recovery in response to receiving the aperiodic BFI report from the UE.

Methods are disclosed for improving communications on feedback transmission channels, in which there is a possibility of bit errors. The basic solutions to counter those errors are: proper design of the CSI vector quantizer indexing (i.e., the bit representation of centroid indices) in order to minimize impact of index errors, use of error detection techniques to expurgate the erroneous indices and use of other methods to recover correct indices.

The disclosure includes a host operating in a communication system to provide an over-the-top (OTT) service. The host includes processing circuitry configured to initiate transmission of user data to a network node in a cellular network to a user equipment (UE). The network node is configured to receive a CSI report for a downlink channel from a wireless device and transmit the user data from the host to the UE to provide the OTT service based on the CSI report. The CSI report includes a set of reported coefficients; an indication of how the network node is to interpret the set of reported coefficients, wherein the indication of how the network node is to interpret the set of reported coefficients indicates the set of reported coefficients as a subset of a set of candidate reported coefficients; and an indication of a payload size of the set of the reported coefficients.

Techniques are described herein for determining a priority ranking for channel state information (CSI) reports based at least in part on a reliability parameter, a latency parameter, or both of resources allocated to a user equipment (UE). In some wireless communications systems, ultra reliable low latency communication (URLLC) services may be interspersed with enhanced mobile broadband (eMBB) services. The UE may perform a CSI report prioritization procedure to account for reliability parameters, latency parameters or both. In some cases, CSI reporting for resources associated URLLC services may receive higher priority than CSI reporting for eMBB services. The UE may be configured to determine reliability parameters and/or latency parameters based on signaling received from the network or from determining changes to one or more configurations of the UE. In some cases, the priority ranking of the CSI report may be based at least in part on a slot set identifier.

Systems and methods for improving power efficiency of electronic systems are disclosed. An intelligent voltage regulator module (VRM) can self-regulate the output power provided to one or more components of an electronic system. For example, output voltage to a component can be increased when more computational power is needed or lowered when appropriate. The intelligent VRM can regulate the output power, for instance, based on one or more of usage or activity of the component. In some cases, the intelligent VRM can independently regulate the output power without input from a host device or override one or more output power parameters. Adjustment of the output power can be performed using machine learning (ML).