Methods, systems, and devices for wireless communications are described. A receiving device (such as user equipment (UE)) may receive a downlink grant including an indication to report channel state information. The receiving device may identify, based on the downlink grant, a number of channel state information processing units associated with reporting the channel state information, and may determine that an available number of channel state information processing units is less than the number of channel state information processing units. In some cases, the receiving device may allocate, based on the determining, a set of channel state information processing units including the available number of channel state information processing units and one or more additional channel state information processing units. The receiving device may then transmit the channel state information report based on the set of channel state information processing units.

Some aspects of this disclosure relate to apparatuses and methods for implementing capability signaling design for 3rd Generation Partnership Project (3GPP) release 15 (Rel-15) and/or release 16 (Rel-16) multi-input multi-output (MIMO) enhancement. For example, systems and methods are provided implementing designs for New Radio (NR) MIMO channel state information (CSI) for a small bandwidth part (BWP) and/or a small number of subbands. For example, some aspects relate to a user equipment (UE) including a transceiver configured to communicate with a base station and a processor communicatively coupled to the transceiver. The processor receives, from the base station, a CSI reporting configuration message. The processor determines, using the CSI reporting configuration message, that a number of physical resource blocks (PRBs) of a BWP associated with the CSI reporting configuration message is less than a threshold number. The processor also generates and transmits a CSI report for the BWP.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a request to transmit one or more canceled hybrid automatic repeat request (HARQ) codebooks, the one or more canceled HARQ codebooks having been scheduled for transmission within a time window preceding receiving the request. The UE may transmit the one or more canceled HARQ codebooks via one or more resources associated with the request. Numerous other aspects are described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a request to transmit one or more canceled hybrid automatic repeat request (HARQ) codebooks, the one or more canceled HARQ codebooks having been scheduled for transmission within a time window preceding receiving the request. The UE may transmit the one or more canceled HARQ codebooks via one or more resources associated with the request. Numerous other aspects are described.

Various embodiments are generally directed to improved channel quality information feedback techniques. In one embodiment, for example, an evolved node B (eNB) may comprise a processor circuit, a communication component for execution by the processor circuit to receive a channel quality index for a physical downlink shared channel (PDSCH), the channel quality index associated with a defined reference resource, and a selection component for execution by the processor circuit to select a modulation and coding scheme (MCS) for transmission over the PDSCH of user equipment (UE) data in one or more resource blocks, the selection component to compensate for a difference between a cell-specific reference signal (CRS) overhead of the defined reference resource and a CRS overhead of the one or more resource blocks when selecting the MCS. Other embodiments are described and claimed.

A system and method of optimizing a selection of an antenna on an information handling system comprising executing a sensor module to receive data from a plurality of sensors for tracking orientations, configurations, and locations of the information handling system and an antenna performance tracking system for measuring antenna performance parameters at a plurality of locations and training an antenna selection machine learning algorithm of an antenna selection machine learning module with training inputs of the orientations, configurations, and antenna performance parameters for a plurality of locations to determine an antenna system recommendation from a plurality of available antenna systems deployed on the information handling system. Executing the trained antenna selection machine learning module with operating inputs for an orientation and configuration at an operation location to determine a recommended antenna system from the plurality of available antenna systems for use in wireless communication.

A system and method of optimizing a selection of an antenna on an information handling system comprising executing a sensor module to receive data from a plurality of sensors for tracking orientations, configurations, and locations of the information handling system and an antenna performance tracking system for measuring antenna performance parameters at a plurality of locations and training an antenna selection machine learning algorithm of an antenna selection machine learning module with training inputs of the orientations, configurations, and antenna performance parameters for a plurality of locations to determine an antenna system recommendation from a plurality of available antenna systems deployed on the information handling system. Executing the trained antenna selection machine learning module with operating inputs for an orientation and configuration at an operation location to determine a recommended antenna system from the plurality of available antenna systems for use in wireless communication.

A method, system and apparatus are disclosed. According to one or more embodiments, a network node is provided. The network node includes processing circuitry configured to receive channel state information, CSI, from each of a plurality of wireless devices and determine at least one null space based on the received CSI from each of the plurality of wireless devices. The processing circuitry is further configured to determine a common precoding matrix index, PMI, where a common beamforming vector is not in the at least one null space and cause a multicast broadcast transmission to the plurality of wireless devices using at least the common PMI.

A method, system and apparatus are disclosed. According to one or more embodiments, a network node is provided. The network node includes processing circuitry configured to receive channel state information, CSI, from each of a plurality of wireless devices and determine at least one null space based on the received CSI from each of the plurality of wireless devices. The processing circuitry is further configured to determine a common precoding matrix index, PMI, where a common beamforming vector is not in the at least one null space and cause a multicast broadcast transmission to the plurality of wireless devices using at least the common PMI.

The present application relates to communication technology. Disclosed are a channel reciprocity-based precoding matrix configuration method and apparatus. The method comprises: in downlink transmission, a network side separately sends, on each antenna port associated with each transmission layer, a CSI-RS subjected to beamforming to a terminal by using beams calculated according to angle information and delay information determined on the basis of uplink channel state information, and determines a precoding matrix for downlink transmission of the terminal according to beams sent on K0 antenna ports selected by the terminal on the basis of the CSI-RS, and a beam combination coefficient set. In this way, both angle information reciprocity and delay information reciprocity between uplink and downlink channels can be used to directly calculate formed beams for transmitting the CSI-RS, without performing SVD calculation for effective channel information of each PMI subband, thereby reducing the calculation complexity of the terminal, reducing the feedback overhead of the terminal, and also improving system performance.