Refined beam prediction with wide beam measurements
AssigneeNokia Technologies Oy
InventorsQiping Zhu, Frederick Vook
Life of this patent
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Abstract
Various techniques are provided for determining, by a base station, a beam coverage in a cell, the beam coverage including angle range for an azimuth and an angle range for an elevation, determining, by the base station, an angle quantization step, generating, by the base station, a grid of narrow beams based on the angle range and the angle quantization step, computing, by the base station, a beam index matrix based on the grid of narrow beams, generating, by the base station, a wide beam codebook based on the grid of narrow beams, and transmitting, by the base station, at least one of a CSI-RS resource and a SSB resource using multiple-TX-directions wide beams based on the wide beam codebook.
Claims8
An apparatus comprising:
- at least one processor;
- and
- at least one memory including computer program code;
- the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to:
- receive, by a user equipment from a base station, at least one of a channel state information-reference signal resource configuration and a synchronization signal block resource configuration configured based on a wide beam codebook that includes at least one beam that has a pattern with multiple divided beam directions each pointing to different transmit directions;
- receive, by the user equipment, at least one of channel state information-reference signal resources and synchronization signal block resources based on at least one of the channel state information-reference signal resources configuration and synchronization signal block resource configuration;
- determine, by the user equipment, a type D quasi co-location information based on the channel state information-reference signal resources;
- select, by the user equipment, receive beams for the channel state information-reference signal resources based on the type D quasi co-location information or the synchronization signal block resources;
- receive, by the user equipment from the base station, a machine learned model trained using the wide beam codebook and a training dataset including wide beam measurements;
- predict a beam from a refined beam codebook using the machine learned model with reference signal received power measurements associated with a channel state information report;
- determine whether the channel state information-reference signal resources include a repetition indication;
- and
- in response to determining that at least one of the channel state information-reference signal resources and the synchronization signal block resources do not include the repetition indication, select, by the user equipment, a receive beam that can maximize a reference signal received power measurement.
An apparatus comprising:
- at least one processor;
- and
- at least one memory including computer program code;
- the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to:
- transmit, by a base station, at least one of channel state information-reference signal resources and synchronization signal block resources based on a wide beam codebook that includes at least one beam that has a pattern with multiple divided beam directions each pointing to different transmit directions;
- receive, by the base station from a user equipment, a channel state information report including a reference signal received power for at least one of the channel state information-reference signal resources and the synchronization signal block resources;
- determine a machine learned model that has been trained using the wide beam codebook and a training dataset including wide beam measurements;
- predict, by the base station, a beam associated with a refined beam codebook using the machine learned model with wide beam measurements associated with the channel state information report, with the channel state information report used as an input to the machine learned model;
- calculate combining coefficients for the two or more narrow beams;
- configure at least one of the channel state information-reference signal resources and the synchronization signal block resources based on the wide beam codebook;
- and
- communicate at least one of the configured channel state information-reference signal resources and the synchronization signal block resources to a user equipment
- wherein:
- the configured channel state information-reference signal resources include a channel state information-reference signal resource with multiple transmission configuration indicator states, and
- each configured transmission configuration indicator state includes a type D quasi co-location information.
A method comprising:
- receiving, by a user equipment from a base station, at least one of a channel state information-reference signal resource configuration and a synchronization signal block resource configuration configured based on a wide beam codebook that includes at least one beam that has a pattern with multiple divided beam directions each pointing to different transmit directions;
- receiving, by the user equipment, at least one of channel state information-reference signal resources and synchronization signal block resources based on at least one of the channel state information-reference signal resources configuration and synchronization signal block resource configuration;
- determining, by the user equipment, a type D quasi co-location information based on the channel state information-reference signal resources;
- selecting, by the user equipment, receive beams for the channel state information-reference signal resources based on the type D quasi co-location information or the synchronization signal block resources;
- receiving, by the user equipment from the base station, a machine learned model trained using the wide beam codebook and a training dataset including wide beam measurements;
- predicting a beam from a refined beam codebook using the machine learned model with reference signal received power measurements associated with a channel state information report;
- determining whether the channel state information-reference signal resources include a repetition indication;
- and
- in response to determining that at least one of the channel state information-reference signal resources and the synchronization signal block resources do not include the repetition indication, selecting, by the user equipment, a receive beam that can maximize a reference signal received power measurement.
Dependencies are inferred from the claim text.