DEVICE, METHOD, MOBILE STATION, AND DIGITAL STORAGE MEDIUM

• US 20140185538A1
• Filed: 12/31/2012
• Published: 07/03/2014
• Est. Priority Date: 12/31/2012
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Deutschland GmbH (Intel Corporation)
• Inventors: Zhang, Hong
• Granted Patent: US 9,692,568 B2
• Time in Patent Office: Days
• US Class Current: 370/329
• CPC Class Codes: H04B 17/327 Received signal code power [RSCP]
• CPC Class Codes: H04L 27/2089 with unbalanced quadrature channels
• CPC Class Codes: H04L 5/0044 allocation of payload
• CPC Class Codes: H04L 5/12 the signals being represented by different phase modulations of a single carrier

Abstract

A device, a method, a mobile station and a non-transitory computer-readable digital storage medium are provided. The device comprises a quadrant classification unit to classify a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane, an energy determination unit to determine a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively, an energy summing unit to determine a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively, and an estimation unit to estimate a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal the real part energy sum E_I and the imaginary part energy sum E_Q.

Claims

What. What is claimed is:

1. A device comprising:

a quadrant classification unit to classify a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane;

an energy determination unit to determine a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively;

an energy summing unit to determine a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively; and

an estimation unit to estimate a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q.

2. The device according to claim 1, wherein the estimation unit estimates the SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal by using

3. The device according to claim 1, wherein the plurality of symbols are all in one burst.

4. The device according to claim 3, wherein the one burst includes 148 symbols.

5. The device according to claim 1, wherein the quadrant classification unit classifies the plurality of symbols of the input shared channel signal into the plurality of quadrants based on values of real parts and imaginary parts of the plurality of symbols.

6. The device according to claim 1, wherein the energy summing unit determines the real part energy and the imaginary part energy by determining an energy of a sum of real parts of and an energy of a sum of imaginary parts of the plurality of symbols in each of the plurality of quadrants respectively.

7. The device according to claim 1, wherein the plurality of quadrants are four quadrants.

8. The device according to claim 1, wherein the input shared channel signal is a Voice services over Adaptive Multiuser channels on One Slot (VAMOS) signal.

1-1. A device comprising:

a quadrant classification unit to classify a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane;

an energy determination unit to determine a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively;

an energy summing unit to determine a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively; and

an estimation unit to estimate a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q.

2-2. The device according to claim 1, wherein the estimation unit estimates the SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal by using

3-3. The device according to claim 1, wherein the plurality of symbols are all in one burst.

4-4. The device according to claim 3, wherein the one burst includes 148 symbols.

5-5. The device according to claim 1, wherein the quadrant classification unit classifies the plurality of symbols of the input shared channel signal into the plurality of quadrants based on values of real parts and imaginary parts of the plurality of symbols.

6-6. The device according to claim 1, wherein the energy summing unit determines the real part energy and the imaginary part energy by determining an energy of a sum of real parts of and an energy of a sum of imaginary parts of the plurality of symbols in each of the plurality of quadrants respectively.

7-7. The device according to claim 1, wherein the plurality of quadrants are four quadrants.

8-8. The device according to claim 1, wherein the input shared channel signal is a Voice services over Adaptive Multiuser channels on One Slot (VAMOS) signal.

9. A mobile station comprising:

a quadrant classification unit to classify a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane;

an energy determination unit to determine a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively;

an energy summing unit to determine a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively; and

an estimation unit to estimate a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q.

9-9. A mobile station comprising:

a quadrant classification unit to classify a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane;

an energy determination unit to determine a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively;

an energy summing unit to determine a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively; and

an estimation unit to estimate a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q.

10. A method comprising:

classifying a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane;

determining a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively;

determining a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively; and

estimating a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q.

11. The method according to claim 10, wherein estimating the SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q comprises estimating the SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal by using

12. The method according to claim 10, wherein the plurality of symbols are all in one burst.

13. The method according to claim 12, wherein the one burst includes 148 symbols.

14. The method according to claim 10, wherein classifying the plurality of symbols of the input shared channel signal into the plurality of quadrants comprises classifying the plurality of symbols of the input shared channel signal into the plurality of quadrants based on values of real parts and imaginary parts of the plurality of symbols.

15. The method according to claim 10, wherein determining the real part energy and the imaginary part energy comprises determining an energy of a sum of real parts of and an energy of a sum of imaginary parts of the plurality of symbols in each of the plurality of quadrants respectively.

16. The method according to claim 10, wherein the plurality of quadrants are four quadrants.

17. The method according to claim 10, wherein the input shared channel signal is a Voice services over Adaptive Multiuser channels on One Slot (VAMOS) signal.

10-10. A method comprising:

classifying a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane;

determining a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively;

determining a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively; and

estimating a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q.

11-11. The method according to claim 10, wherein estimating the SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q comprises estimating the SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal by using

12-12. The method according to claim 10, wherein the plurality of symbols are all in one burst.

13-13. The method according to claim 12, wherein the one burst includes 148 symbols.

14-14. The method according to claim 10, wherein classifying the plurality of symbols of the input shared channel signal into the plurality of quadrants comprises classifying the plurality of symbols of the input shared channel signal into the plurality of quadrants based on values of real parts and imaginary parts of the plurality of symbols.

15-15. The method according to claim 10, wherein determining the real part energy and the imaginary part energy comprises determining an energy of a sum of real parts of and an energy of a sum of imaginary parts of the plurality of symbols in each of the plurality of quadrants respectively.

16-16. The method according to claim 10, wherein the plurality of quadrants are four quadrants.

17-17. The method according to claim 10, wherein the input shared channel signal is a Voice services over Adaptive Multiuser channels on One Slot (VAMOS) signal.

18. A non-transitory computer-readable digital storage medium having stored thereon a computer program having a program code for performing, when running on a computing device, a method comprising:

classifying a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane;

determining a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively;

determining a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively; and

estimating a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q.

18-18. A non-transitory computer-readable digital storage medium having stored thereon a computer program having a program code for performing, when running on a computing device, a method comprising:

classifying a plurality of symbols in an input shared channel signal into a plurality of quadrants in a complex plane;

determining a real part energy and an imaginary part energy for the plurality of symbols in each of the plurality of quadrants respectively;

determining a real part energy sum E_I and an imaginary part energy sum E_Q by summing the real part energy and the imaginary part energy for the plurality of quadrants respectively; and

estimating a SubChannel Power Imbalance Ratio (SCPIR) of the input shared channel signal based on the real part energy sum E_I and the imaginary part energy sum E_Q.