Methods and apparatus for reference signal overhead reduction in wireless communication systems

US2025293741A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2025293741-A1
Application numberUS-202318860454-A
CountryUS
Kind codeA1
Filing dateApr 26, 2023
Priority dateApr 26, 2022
Publication dateSep 18, 2025
Grant date

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  5. First independent claim

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Abstract

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Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to reduction of signaling overhead in connection with processing of reference signals. In an embodiment, an apparatus may be configured to receive, from a network node, configuration information comprising channel state information (CSI) spatial prediction parameters; receive a first plurality of reference signals transmitted from a plurality of antenna ports of the network node; estimate, based on the plurality of the received reference signals, first CSI measurements; and determine, based on the first CSI measurements and the CSI spatial prediction parameters, a first subset of antenna ports among the plurality of antenna ports of the network node and one or more parameters associated with the first subset of antenna ports, wherein the first subset is less than the plurality of antenna ports.

First claim

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1 . A method implemented in a Wireless Transmit Receive Unit (WTRU), the method comprising: receiving, from a network node, configuration information indicating one or more channel state information (CSI) spatial prediction parameters; receiving a first plurality of reference signals transmitted from a plurality of antenna ports of the network node; estimating, based on the first plurality of reference signals, one or more first CSI measurements; determining, based on the one or more first CSI measurements and the one or more CSI spatial prediction parameters, a first subset of antenna ports among the plurality of antenna ports of the network node and one or more parameters associated with the first subset of antenna ports, wherein the first subset is less than the plurality of antenna ports; sending, to the network node, information indicating the first subset of antenna ports and the one or more parameters associated with the first subset of antenna ports; receiving a second plurality of reference signals transmitted from the first subset of antenna ports; and estimating, based on the second plurality of reference signals, one or more second CSI measurements. 2 . The method according to claim 1 , comprising: predicting, based on the one or more second CSI measurements, one or more third CSI measurements for a second subset of antenna ports of the plurality of antenna ports of the network node; and sending CSI feedback information indicating any of: (1) the one or more first CSI measurements, (2) the one or more second CSI measurements, and (3) the one or more third CSI measurements. 3 . The method according to claim 2 , wherein the one or more CSI spatial prediction parameters comprise any of: (1) a maximum number of antenna ports of the first subset of antenna ports; (2) a method for determining the first subset of antenna ports; and (3) a metric for spatial correlation between the first subset of antenna ports and the second subset of antenna ports. 4 . The method according to claim 2 , wherein the second subset of antenna ports is the complement of the first subset of antenna ports. 5 . The method according to claim 2 , comprising predicting the one or more third CSI measurements for the second subset of antenna ports using an artificial intelligence/machine learning model. 6 . The method according to claim 2 , wherein the one or more parameters associated with the first subset of antenna ports comprise one or more channel coefficients associated with the first subset of antenna ports. 7 . The method according to claim 6 , wherein determining a first subset of antenna ports comprises determining the first subset of antenna ports based on meeting a threshold of a minimum correlation between the one or more channel coefficients associated with the first subset of antenna ports. 8 . The method according to claim 6 , wherein the one or more channel coefficients associated with the first subset of antenna ports are one or more first channel coefficients associated with the first subset of antenna ports, the method comprising: predicting based on the one or more first channel coefficients associated with the first subset of antenna ports, one or more second channel coefficients associated with the second subset of antenna ports; and sending, to the network node, information indicating the one or more second channel coefficients associated to the second subset of antenna ports. 9 . The method according to claim 2 , comprising: determining a condition indicative of one or more changes in one or more channel conditions associated to the first subset of antenna ports, wherein the condition is based on estimating one or more fifth CSI measurements based on a third plurality of reference signals transmitted from the first subset of antenna ports; and responsive to such determination, altering the first subset of antenna ports. 10 . The method according to claim 9 , wherein the condition comprises a data block error rate exceeding a threshold. 11 . A wireless transmit/receive unit (WTRU) comprising circuitry, including a transmitter, a receiver, a processor and memory, the WTRU configured to: receive, from a network node, configuration information indicating one or more channel state information (CSI) spatial prediction parameters; receive a first plurality of reference signals transmitted from a plurality of antenna ports of the network node; estimate, based on the first plurality of reference signals, one or more first CSI measurements; determine, based on the one or more first CSI measurements and the one or more CSI spatial prediction parameters, a first subset of antenna ports among the plurality of antenna ports of the network node and one or more parameters associated with the first subset of antenna ports, wherein the first subset is less than the plurality of antenna ports; send to the network node, information indicating the first subset of antenna ports and the one or more parameters associated with the first subset of antenna ports; receive a second plurality of reference signals transmitted from the first subset of antenna ports; and estimate, based on the second plurality of reference signals, one or more second CSI measurements. 12 . The WTRU according to claim 11 , configured to: predict, based on the one or more second CSI measurements, one or more third CSI measurements for a second subset of antenna ports of the plurality of antenna ports of the network node; and send CSI feedback information indicating any of: (1) the one or more first CSI measurements, (2) the one or more second CSI measurements, and (3) the one or more third CSI measurements. 13 . The WTRU according to claim 12 , wherein the one or more CSI spatial prediction parameters comprise any of (1) a maximum number of antenna ports of the first subset of antenna ports; (2) a method for determining the first subset of antenna ports; and (3) a metric for spatial correlation between the first subset of antenna ports and the second subset of antenna ports. 14 . The WTRU according to claim 12 , wherein the second subset of antenna ports is the complement of the first subset of antenna ports. 15 . The WTRU according to claim 12 , configured to predict the one or more third CSI measurements for the second subset of antenna ports using an artificial intelligence/machine learning model. 16 . The WTRU according to claim 12 , wherein the one or more parameters associated with the first subset of antenna ports comprise one or more channel coefficients associated with the first subset of antenna ports. 17 . The WTRU according to claim 16 , wherein the WTRU configured to determine a first subset of antenna ports comprises the WTRU configured to determine the first subset of antenna ports based on meeting a threshold of a minimum correlation between the one or more channel coefficients associated with the first subset of antenna ports. 18 . The WTRU according to claim 16 , wherein the one or more channel coefficients associated with the first subset of antenna ports are one or more first channel coefficients associated with the first subset of antenna ports, wherein the WTRU is configured to: predict based on the one or more first channel coefficients associated with the first subset of antenna ports, one or more second channel coefficients associated with the second subset of antenna ports; and send to the network node, information indicating the one or more second channel coefficients associated to the second subset of antenna ports.

Assignees

Inventors

Classifications

  • Allocation of pilot signals, i.e. of signals known to the receiver (allocation of control signalling H04L5/0053; use of control signalling H04L5/0091) · CPC title

  • Predicting channel quality {or other radio frequency [RF]} parameters · CPC title

  • H04L1/0026Primary

    Transmission of channel quality indication · CPC title

  • Details of error rate determination, e.g. BER, FER or WER · CPC title

  • Feedback reduction · CPC title

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What does patent US2025293741A1 cover?
Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to reduction of signaling overhead in connection with processing of reference signals. In an embodiment, an apparatus may be configured to receive, from a network node, configuration information comprising channel state information (CSI) spatial prediction parameters; receive a first plural…
Who is the assignee on this patent?
Interdigital Patent Holdings Inc
What technology area does this patent fall under?
Primary CPC classification H04L1/0026. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Sep 18 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).