Efficient vector quantizer for fd-mimo systems

Patent metadata

Field	Value
Publication number	US-2016119045-A1
Application number	US-201514806413-A
Country	US
Kind code	A1
Filing date	Jul 22, 2015
Priority date	Oct 24, 2014
Publication date	Apr 28, 2016
Grant date	—

Abstract

Methods and apparatus for vector quantization of feedback and processing of vector quantized feedback components. A method of operating a UE for vector quantization of feedback includes identifying a grouping method for grouping channel coefficients for vector quantization and identifying a vector quantization codebook for vector quantization of grouped vectors based on one or more control signals received from an eNB. The method includes computing channel coefficients based on at least one channel measurement and grouping the computed channel coefficients according to the identified grouping method to form a set of vectors. The method also includes performing vector quantization of the vectors using the identified vector quantization codebook and processing the quantized vectors into one or more feedback signals. Additionally, the method includes transmitting the one or more feedback signals to the eNB.

First claim

What is claimed is:

1 . A method of operating a user equipment (UE) for vector quantization of feedback components, the method comprising:
identifying a grouping method for grouping channel coefficients for vector quantization and identifying a vector quantization codebook for vector quantization of grouped vectors based on one or more control signals received from an eNode B (eNB); computing channel coefficients based on at least one channel measurement; grouping the computed channel coefficients according to the identified grouping method to form a set of vectors; performing vector quantization of the vectors using the identified vector quantization codebook; processing the quantized vectors into one or more feedback signals; and transmitting the one or more feedback signals to the eNB.

2 . The method of claim 1 , wherein identifying the grouping method and the vector quantization codebook for grouping channel coefficients into vectors and for vector quantization of grouped vectors, respectively, comprise identifying, from the one or more control signals, an indication of a selected grouping method from a predetermined set of grouping methods and a selected vector quantization codebook from a predetermined set of vector quantization codebooks.

3 . The method of claim 1 , further comprising:
estimating at least one profile of the channel coefficients based on the at least one channel measurement, wherein transmitting the one or more feedback signals to the eNB comprises transmitting feedback associated with the at least one estimated profile for the eNB to determine quantization parameters for vector quantization of channel coefficients by the UE.

4 . The method of claim 3 , wherein the quantization parameters include a selection of at least one grouping method from a set of grouping methods and at least one vector quantization codebook from a set of vector quantization codebooks.

5 . The method of claim 1 , wherein performing the vector quantization of the vectors using the at least one vector quantization codebook comprises using at least two different types of vector quantization for quantization of the channel coefficients based on different levels of correlations within a channel.

6 . A method of operating an eNode B (eNB) for processing of vector quantized feedback, the method comprising:
receiving one or more feedback signals from a user equipment (UE); performing reconstruction of quantized channel coefficients identified from the one or more feedback signals using at least one vector quantization codebook; and ungrouping the reconstructed channel coefficients based on a grouping method indicated to the UE by the eNB.

7 . The method of claim 6 , further comprising:
estimating at least one profile of the quantized channel coefficients identified from the one or more feedback signals; selecting a grouping method for grouping of channel coefficients for vector quantization of feedback by the UE from a predetermined set of grouping methods based on the at least one estimated profile; selecting a vector quantization codebook for vector quantization of grouped vectors by the UE from a predetermined set of vector quantization codebooks based on the at least one estimated profile; and sending, to the UE, at least one control signal indicating the selected grouping method for grouping of the channel coefficients for vector quantization of the UE feedback.

8 . The method of claim 6 , further comprising:
measuring a distribution of the quantized channel coefficients; determining quantization parameters for vector quantization of grouped channel coefficients feedback by the UE; and sending, to the UE, at least one control signal indicating the quantization parameters for vector quantization of grouped channel coefficients for the UE feedback.

9 . The method of claim 8 , wherein the quantization parameters include a selection of at least one grouping method from a set of grouping methods and at least one vector quantization codebook from a set of vector quantization codebooks.

10 . The method of claim 6 , further comprising signaling, to the UE, information indicating for the UE to use at least two different types of vector quantization for quantization of the channel coefficients fed back by the UE based on different levels of correlations within a channel.

11 . An apparatus of a user equipment (UE) for vector quantization of feedback components, the apparatus comprising:
at least one processor configured to:
identify a grouping method for grouping channel coefficients for vector quantization and identify a vector quantization codebook for vector quantization of grouped vectors based on one or more control signals received from an eNode B (eNB),
compute channel coefficients based on at least one channel measurement,
group the computed channel coefficients according to the identified grouping method to form a set of vectors,
perform vector quantization of the vectors using the identified vector quantization codebook, and
process the quantized vectors into one or more feedback signals; and
a transceiver configured to transmit the one or more feedback signals to the eNB.

12 . The apparatus of claim 11 , wherein the at least one processor is configured to identify, from the one or more control signals, an indication of a selected grouping method from a predetermined set of grouping methods and a selected vector quantization codebook from a predetermined set of vector quantization codebooks.

13 . The apparatus of claim 11 , wherein:
the at least one processor is further configured estimating at least one profile of the channel coefficients based on the at least one channel measurement, and the transceiver is configured to transmit feedback associated with the at least one estimated profile for the eNB to determine quantization parameters for vector quantization of channel coefficients by the UE.

14 . The apparatus of claim 13 , wherein the quantization parameters include a selection of at least one grouping method from a set of grouping methods and at least one vector quantization codebook from a set of vector quantization codebooks.

15 . The apparatus of claim 11 , wherein the at least one processor is configured to perform the vector quantization of the vectors using at least two different types of vector quantization for quantization of the channel coefficients based on different levels of correlations within a channel.

16 . An apparatus of an eNode B (eNB) for processing of vector quantized feedback, the apparatus comprising:
a transceiver configured to receive one or more feedback signals from a user equipment (UE); and at least one processor configured to:
perform reconstruction of quantized channel coefficients identified from the one or more feedback signals using at least one vector quantization codebook, and
ungroup the reconstructed channel coefficients based on a grouping method indicated to the UE by the eNB.

17 . The apparatus of claim 16 , wherein:
the at least one processor is further configured to estimate at least one profile of the quantized channel coefficients identified from the one or more feedback signals; select a vector quantization codebook for vector quantization of grouped vectors by the UE from a predetermined set of vector quantization codebooks based on the at least one estimated profile; and select a grouping method for grouping of channel coefficients for vector quantization of feedback by the UE from a predetermined set of grouping methods based on the at least one estimated

Assignees

• Samsung Electronics Co Ltd

Inventors

• Rahman Md Saifur
• Onggosanusi Eko
• Nam Young-Han
• Li Yang

Classifications

• H04B7/0663

  using vector or matrix manipulations · CPC title

• H03M7/3082

  Vector coding (for television signals, see H04N19/94) · CPC title

• H04B7/066

  Combined feedback for a number of channels, e.g. over several subcarriers like in orthogonal frequency division multiplexing [OFDM] · CPC title

• H04B7/0639 Primary

  Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection · CPC title

• H04B7/0658

  Feedback reduction · CPC title