Spectral efficiency (SPEF) to channel quality indicator (CQI) mapping adaptation

Patent metadata

Field	Value
Publication number	US-11038621-B2
Application number	US-201916578183-A
Country	US
Kind code	B2
Filing date	Sep 20, 2019
Priority date	Sep 20, 2019
Publication date	Jun 15, 2021
Grant date	Jun 15, 2021

Abstract

Aspects of the disclosure relate to dynamically adapting the mapping between spectral efficiencies and channel quality indicators in real-time based on the channel conditions. In some examples, a scheduled entity (e.g., a UE) may maintain two or more predefined tables or other mappings, each including a respective mapping between spectral efficiency threshold values and channel quality indicators for a respective channel type. The UE may then calculate respective weighted sums of the spectral efficiency threshold values across the two or more predefined tables based on the current wireless channel. For example, the UE may estimate the wireless channel and determine respective weights to be applied to the spectral efficiency threshold values across the two or more predefined tables based on the channel estimate. Other aspects, features, and embodiments are also claimed and described.

First claim

What is claimed is:

1. A method for wireless communication at a scheduled entity in a wireless communication network, the method comprising:
estimating a wireless channel between the scheduled entity and a scheduling entity to obtain a channel estimate;
determining a respective weight associated with each of two or more predefined spectral efficiency-channel quality indicator (SPEF-CQI) mappings based on the channel estimate, wherein each of the two or more predefined SPEF-CQI mappings comprises a respective mapping between spectral efficiency (SPEF) threshold values and channel quality indicators (CQIs);
calculating respective weighted sums of corresponding ones of the SPEF threshold values across the two or more predefined SPEF-CQI mappings using the respective weights to produce a blended SPEF-CQI mapping for the wireless channel;
calculating a current SPEF value for the wireless channel;
identifying a current CQI from the blended SPEF-CQI mapping that maps to the current SPEF value; and
transmitting the current CQI to the scheduling entity.

2. The method of claim 1 , wherein calculating respective weighted sums of corresponding ones of the SPEF threshold values across the two or more predefined SPEF-CQI mappings further comprises:
multiplying the respective weights by each of the SPEF threshold values within corresponding ones of the two or more predefined SPEF-CQI mappings to produce weighted SPEF threshold values; and
adding corresponding ones of the weighted SPEF threshold values across each of the two or more predefined SPEF-CQI mappings to produce the blended SPEF-CQI mapping.

3. The method of claim 1 , wherein the two or more predefined SPEF-CQI mappings comprise two or more predefined tables.

4. The method of claim 3 , wherein each of the two or more predefined tables is associated with a respective channel type.

5. The method of claim 1 , further comprising:
calculating a frequency selectivity of the wireless channel based on the channel estimate.

6. The method of claim 5 , wherein determining the respective weight associated with each of the two or more predefined SPEF-CQI mappings further comprises:
accessing a look-up table to determine the respective weight associated with each of the two or more predefined SPEF-CQI mappings based on the frequency selectivity.

7. The method of claim 1 , wherein estimating the wireless channel further comprises:
receiving a channel state information-reference signal (CSI-RS) within a channel measurement resource from the scheduling entity; and
estimating the wireless channel based on the CSI-RS.

8. The method of claim 1 , wherein determining the respective weight associated with each of the two or more predefined SPEF-CQI mappings further comprises:
utilizing machine learning to generate the respective weight associated with each of the two or more predefined SPEF-CQI mappings based on the channel estimate.

9. The method of claim 1 , wherein the blended SPEF-CQI mapping comprises an adapted mapping between adapted SPEF threshold values and the CQIs, and wherein identifying the current CQI further comprises:
selecting the current CQI corresponding to a maximum SPEF threshold value of the adapted SPEF threshold values that is less than or equal to the current SPEF value.

10. A scheduled entity in a wireless communication network, comprising:
a wireless transceiver;
a memory; and
a processor communicatively coupled to the wireless transceiver and the memory, wherein the processor is configured to:
estimate a wireless channel between the scheduled entity and a scheduling entity to obtain a channel estimate;
determine a respective weight associated with each of two or more predefined spectral efficiency-channel quality indicator (SPEF-CQI) mappings based on the channel estimate, wherein each of the two or more predefined SPEF-CQI mappings comprises a respective mapping between spectral efficiency (SPEF) threshold values and channel quality indicators (CQIs);
calculate respective weighted sums of corresponding ones of the SPEF threshold values across the two or more predefined SPEF-CQI mappings using the respective weights to produce a blended SPEF-CQI mapping for the wireless channel;
calculate a current SPEF value for the wireless channel;
identify a current CQI from the blended SPEF-CQI mapping that maps to the current SPEF value; and
transmit the current CQI to the scheduling entity via the wireless transceiver.

11. The scheduled entity of claim 10 , wherein the processor is further configured to:
multiply the respective weights by each of the SPEF threshold values within corresponding ones of the two or more predefined SPEF-CQI mappings to produce weighted SPEF threshold values; and
add corresponding ones of the weighted SPEF threshold values across each of the two or more predefined SPEF-CQI mappings to produce the blended SPEF-CQI mapping.

12. The scheduled entity of claim 10 , wherein the two or more predefined SPEF-CQI mappings comprise two or more predefined tables.

13. The scheduled entity of claim 12 , wherein each of the two or more predefined tables is associated with a respective channel type.

14. The scheduled entity of claim 10 , wherein the processor is further configured to:
calculate a frequency selectivity of the wireless channel based on the channel estimate; and
access a look-up table to determine the respective weight associated with each of the two or more predefined SPEF-CQI mappings based on the frequency selectivity.

15. The scheduled entity of claim 10 , wherein the processor is further configured to:
receive a channel state information-reference signal (CSI-RS) within a channel measurement resource from the scheduling entity; and
estimate the wireless channel based on the CSI-RS.

16. The scheduled entity of claim 10 , wherein the processor is further configured to:
utilize machine learning to generate the respective weight associated with each of the two or more predefined SPEF-CQI mappings based on the channel estimate.

17. The scheduled entity of claim 10 , wherein the blended SPEF-CQI mapping comprises an adapted mapping between adapted SPEF threshold values and the CQIs, and wherein the processor is further configured to:
select the current CQI corresponding to a maximum SPEF threshold value of the adapted SPEF threshold values that is less than or equal to the current SPEF value.

18. A scheduled entity in a wireless communication network, comprising:
means for estimating a wireless channel between the scheduled entity and a scheduling entity to obtain a channel estimate;
means for determining a respective weight associated with each of two or more predefined spectral efficiency-channel quality indicator (SPEF-CQI) mappings based on the channel estimate, wherein each of the two or more predefined SPEF-CQI mappings comprises a respective mapping between spectral efficiency (SPEF) threshold values and channel quality indicators (CQIs);
means for calculating respective weighted sums of corresponding ones of the SPEF threshold values across the two or more predefined SPEF-CQI mappings using the respective weights to produce a blended SPEF-CQI mapping for the wireless channel;
means for calculating a current SPEF value for the wireless channel;
means for identifying a current CQI from the blended SPEF-CQI mapping that maps to the current SPEF value; and
means for transmitting the current CQI to the scheduling entity.

19. The scheduled entity of claim 18 , wherein the means for calculating the respective weig

Assignees

• Qualcomm Inc

Inventors

• Gutman Igor
• Cheraghi Parisa
• Levitsky Michael
• Gorokhov Alexei Yurievitch

Classifications

• H04L25/0224

  using sounding signals · CPC title

• H04L1/0026

  Transmission of channel quality indication · CPC title

• H04L1/0025

  Transmission of mode-switching indication · CPC title

• H04L1/0021 Primary

  in which the algorithm uses adaptive thresholds · CPC title

• H04L1/0016

  involving special memory structures, e.g. look-up tables · CPC title