Abstract: Certain aspects of the present disclosure provide techniques for allocating channel state information (CSI) processing unit (CPU) for user equipment (UE) initiated CSI. For example, the UE may receive an indication from a network entity (e.g., a base station or gNB) configuring the UE with a number of one or more CPUs allowed to be occupied for UE-initiated CSI feedback. The UE uses the at least one of the CPUs to calculate UE-initiated CSI feedback. The UE transmits at least one report including the UE-initiated CSI feedback if one or more conditions are met, such as when a mismatch between a CSI metric for a scheduled physical downlink shared channel (PDSCH) and a CSI metric calculated as part of the UE-initiated CSI feedback is equal to or exceeding a threshold value.

Abstract: A method of wireless communications by a user equipment (UE) includes communicating with a network based on a machine learning model for wireless communication. The method also includes monitoring a status of the machine learning model for wireless communication. The method further includes reporting the status of the machine learning model for wireless communication using a predetermined resource according to a predetermined format. The method also includes falling back to communicating with a fallback procedure, instead of the machine learning model for wireless communication, to maintain wireless communication with the network in response to the status of the machine learning model indicating a model failure.

Abstract: Methods, systems, and devices for wireless communications are described. In some systems, devices use machine learning (ML) models to support wireless communications. For example, a user equipment (UE) may download ML model information from a network to determine an ML model. The network may additionally configure a status reporting procedure, a fallback procedure, or both for the ML model. In some examples, based on a configuration, the UE may transmit a status report to a base station according to a reporting periodicity, a UE-based trigger, a network-based trigger, or some combination thereof. Additionally or alternatively, the UE may determine to fallback from operating using the ML model to operating in a second mode based on a fallback trigger. In some examples, to restore operating using a downloaded ML model, the UE may download an updated ML model or receive iterative updates to a previously downloaded ML model.

Abstract: A configuration for reporting OOD samples for neural network optimization. The apparatus receives, from a base station, a configuration to report an OOD dataset for a machine learning model. The apparatus detects an occurrence of one or more OOD events. The apparatus reports the OOD dataset comprising the one or more OOD events based on the configuration to report OOD dataset. The apparatus receives, from the base station, an update to the machine learning model. The OOD dataset may comprise raw data related to the one or more OOD events, or may comprise extracted latent data corresponding to features of raw data related to the one or more OOD events.

Abstract: Systems, methods, and devices for a ball grid array with non-linear conductive routing are described herein. Such a ball grid array may include a plurality of solder balls that are electrically coupled by a non-linear conductive routing. The non-linear conductive routing may include a plurality of routing sections where each of the plurality of routing sections is disposed at an angle to adjacent routing sections.

Abstract: Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for beam determination, multi-user transmission, and channel state variance information (CSVI) reporting in a holographic multiple input multiple output (MIMO) system.

Abstract: Systems, methods, and devices for a ball grid array with non-linear conductive routing are described herein. Such a ball grid array may include a plurality of solder balls that are electrically coupled by a non-linear conductive routing. The non-linear conductive routing may include a plurality of routing sections where each of the plurality of routing sections is disposed at an angle to adjacent routing sections.

Abstract: An example voltage controlled oscillator includes an inductor, a capacitor coupled to the inductor, and a signal source coupled to the inductor and the capacitor to sustain an oscillating signal. The voltage controlled oscillator includes a first varactor coupled to the inductor and the capacitor, wherein the first varactor is biased by a first bias voltage and is configured to change a frequency of the oscillating signal based on a first control voltage signal. The voltage controlled oscillator includes a second varactor coupled to the inductor, the capacitor, and the first varactor, wherein the second varactor is biased by a second bias voltage and is configured to compensate temperature variation of the frequency of the oscillating signal over a plurality of frequency bands based on second control voltage signal.

Abstract: An example voltage controlled oscillator includes an inductor, a capacitor coupled to the inductor, and a signal source coupled to the inductor and the capacitor to sustain an oscillating signal. The voltage controlled oscillator includes a first varactor coupled to the inductor and the capacitor, wherein the first varactor is biased by a first bias voltage and is configured to change a frequency of the oscillating signal based on a first control voltage signal. The voltage controlled oscillator includes a second varactor coupled to the inductor, the capacitor, and the first varactor, wherein the second varactor is biased by a second bias voltage and is configured to compensate temperature variation of the frequency of the oscillating signal over a plurality of frequency bands based on second control voltage signal.

Abstract: An example voltage controlled oscillator includes an inductor, a capacitor coupled to the inductor, and a signal source coupled to the inductor and the capacitor to sustain an oscillating signal. The voltage controlled oscillator includes a first varactor coupled to the inductor and the capacitor, wherein the first varactor is biased by a first bias voltage and is configured to change a frequency of the oscillating signal based on a first control voltage signal. The voltage controlled oscillator includes a second varactor coupled to the inductor, the capacitor, and the first varactor, wherein the second varactor is biased by a second bias voltage and is configured to compensate temperature variation of the frequency of the oscillating signal over a plurality of frequency bands based on second control voltage signal.