Practical space-time radio method for CDMA communication capacity enhancement

• US 6,108,565 A
• Filed: 09/15/1997
• Issued: 08/22/2000
• Est. Priority Date: 09/15/1997
• Status: Expired due to Term

• Current Assignee: Hanger Solutions, LLC (IP Investments Group LLC)
• Original Assignee: Adaptive Telecom, Inc. (Metawave Communications Corp.)
• Inventors: Scherzer, Shimon B.
• Primary Examiner(s): Bost, Dwayne D.
• Assistant Examiner(s): GELIN, JEAN ALLAND
• Application Number:
  US08/929,638
• Time in Patent Office: 1,072 Days
• Field of Search: 370/210, 370/335, 370/342, 370/441, 370/479, 370/310, 370/329, 375/200, 375/208, 375/267, 375/347, 375/209, 375/210, 455/501, 455/42, 455/506, 455/13.3, 455/62, 455/63, 455/561, 455/562, 455/509, 455/550
• US Class Current: 455/562.1
• CPC Class Codes: H04B 7/0408 using two or more beams, i.e. beam diversity
• CPC Class Codes: H04B 7/0491 using two or more sectors, i.e. sector diversity
• CPC Class Codes: H04B 7/0615 of weighted versions of same signal
• CPC Class Codes: H04B 7/0897 using beamforming per multi-path, e.g. to cope with different directions of arrival [DOA] at different multi-paths

Abstract

A practical way to enhance signal quality (carrier to interference. C/I) in both up and downlink of wireless point to multi-point CDMA service implements basic radio direction finding techniques to allow for optimal diversity combining in an antenna array employing large number of elements. This approach is facilitated through the use of very small bit counts arithmetic and capitalizing on finite alphabet signal structure (Walsh symbols, for example in IS-95 CDMA) or a known training sequence. Alternate implementations can use floating point data representations. The method facilitates ASIC implementation, thereby enabling distributed processing to achieve the required computation practicality. The method utilizes the uplink channel data to determine the downlink spatial structure (array beams) to enhance downlink C/I and hence, increase downlink capacity. The preferred embodiment is optimized to IS-95 , however, any signal that has either a finite alphabet or a training sequence built in can utilize the same idea. The use of the known signal structure facilitates simple array response vector determination and eliminates the necessity for covariance matrix calculation and analysis. Hence, this approach can be utilized for GSM and TDMA wireless air-interfaces as well.

Claims

1. A method for wireless communication comprising:

a) transmitting from a mobile unit a code modulated signal obtained by modulating original symbols by a predetermined pseudo-noise sequence, wherein the original symbols represent an original information signal;

b) receiving at a base station antenna array N complex valued signal sequences received in parallel from N corresponding antenna elements;

c) correlating in parallel each of the N signal sequences with the pseudo-noise sequence to select N received signals comprising N received symbols corresponding to a common one of the original symbols;

d) transforming in parallel the N received symbols to obtain N complex-valued transformer outputs;

e) correlating collectively the N transformer outputs with a set of complex array calibration vectors to obtain spatial information, wherein each array calibration vector represents a response of the antenna array to a calibration signal originating in a predetermined direction relative to the base station;

f) repeating steps (b), (c), (d), (e) to obtain spatial information about multiple signal components;

g) spatially filtering a subsequent set of N complex valued signal sequences in accordance with the spatial information about multiple signal components; and

h) demodulating the spatially filtered subsequent set to obtain a symbol from the original information signal.

2. The method of claim 1 further comprising the step of tracking time and angle information of the multiple signal components.

3. The method of claim 1 wherein the original symbols are selected from a symbol alphabet comprising not more than 64 symbols.

4. The method of claim 1 wherein each of the N transformer outputs comprises a vector having M complex valued components representing correlations between a received symbol and M symbols of a symbol alphabet.

5. The method of claim 1 wherein the calibration vectors comprise complex valued components having 1-bit plus sign real part and 1-bit plus sign imaginary part, and wherein the correlating step comprises computing via addition only a vector dot product between the calibration vectors and the N transformer outputs.

6. The method of claim 1 wherein the correlating step yields spatial information about multiple signal components having a time spread less than one chip.

7. The method of claim 1 further comprising spatially filtering a downlink information signal in accordance with the spatial information about the multiple signal components, and transmitting the spatially filtered downlink information signal from the antenna array to the mobile unit.

8. The method of claim 7 wherein the spatially filtering comprises assigning the mobile unit to a calculated beam and generating the beam.

9. In a wireless communication system comprising a mobile unit and a base station having an N-element antenna array, a method for efficiently determining at the base station a spatial channel of the mobile unit, the method comprising:

a) calculating a transform of a symbol as received from a first antenna of the antenna array, wherein the calculation produces a first M-dimensional vector having complex valued components, where M is a number of predetermined symbols in a symbol alphabet;

b) performing step (a) simultaneously and in parallel for the symbol as received from N-1 additional antennas in the array, thereby producing a matrix B containing N row vectors of dimension M;

c) calulating the matrix product C=A^H B, where each of L columns of the matrix A is an N-dimensional vector containing a response of the N antenna array in one of L predetermined directions relative to the array; and

d) determining from the matrix C a spatial direction of a signal part originating from the mobile.

10. The method of claim 9 wherein M<

65.

11. The method of claim 9 wherein the matrix A has complex valued elements having 1-bit-plus-sign real part and 1-bit-plus-sign imaginary part, whereby the matrix product calculation is efficiently performed.

12. The method of claim 9 further comprising determining from the matrix C an additional spatial direction of an small time separated signal part originating from the mobile.

13. A method for wireless communication comprising:

transmitting an information signal from a mobile unit;

receiving the transmitted signal with an array of N antenna elements to yield a set of N received signals;

spatially correlating the N received signals with the contents of an antenna array calibration table to obtain directional information about the mobile unit, wherein the stored calibration table comprises complex valued elements having 1-bit-plus-sign real part and 1-bit-plus-sign imaginary part, whereby spatial correlation is facilitated; and

spatially filtering subsequent received signals from the mobile unit in accordance with the directional information to obtain corresponding transmitted information signals.

14. The method of claim 13 wherein the receiving step comprises digitizing, despreading and Hadamard transforming, separately and in parallel, N air signals coupled to the N antennas.

15. The method of claim 13 wherein the correlating step comprises calculating vector dot products between the N received signals and columns of the array calibration table having complex-valued elements in the form of a bit-plus-sign real part and a bit-plus-sign imaginary part.

16. The method of claim 13 further comprising the step of assigning the mobile to a calculated downlink beam based on the directional information.

17. The method of claim 16 wherein the calculated beam is selected from among a dynamically adaptive set of overlapping downlink beams of differing angular extent.

18. The method of claim 16 wherein the assigning step is further based upon distance information such that close mobiles are assigned to broad beams and distant mobiles are assigned to narrow beams.

19. A method for wireless communication comprising:

transmitting uplink information signals from a set of mobiles;

receiving the uplink signals with an array of N antenna elements to yield a set of N received signals;

processing the N received signals to obtain spatial information about the mobiles;

calculating downlink beamforming information based upon the spatial information, wherein the beamforming information comprises assigning each of the mobiles to one of a set of downlink beams, wherein the set of downlink beams comprises wide beams for nearby mobiles and narrow beams for distant mobiles, and

wherein the wide beams overlap the narrow beams; and

transmitting downlink information signals to the mobiles in accordance with the calculated downlink beamforming information.

20. The method of claim 19 further comprising tracking the spatial information about the mobiles in angle and time.

21. The method of claim 19 further comprising modifying the properties of the downlink beams based upon the spatial information in order to optimize system performance.

22. The method of claim 19 wherein the transmitting is performed in accordance with beamforming information comprising complex valued elements having 3-bit-plus-sign real part and 3-bit-plus-sign imaginary part.

23. The method of claim 19 wherein the processing comprises Hadamard-transforming the N received signals and correlating the N transformed signals with an array calibration table.

24. The method of claim 23 wherein the array calibration table comprises complex valued elements having 1-bit-plus-sign real part and 1-bit-plus-sign imaginary part.

25. The method of claim 23 wherein the correlating comprises a matrix multiplication implemented as a complex addition.

26. A CDMA base station comprising:

an antenna array comprising N antenna elements;

a set of N receivers coupled to the N antenna elements to produce N incoming signals;

a set of N despreaders coupled to the N receivers, wherein the despreaders produce from the N incoming signals N despread signals corresponding to a single mobile unit;

a set of N symbol transformers coupled to the N despreaders, wherein the transformers produce complex-valued outputs from the despread signals;

a spatial correlator coupled to the N symbol transformers, wherein the correlator correlates the complex-valued outputs with stored array calibration data to produce beamforming information for multiple signal parts associated with the mobile unit;

a receiving beamformer coupled to the spatial correlator and to the N receivers, wherein the receiving beamformer spatially filters the N incoming signals in accordance with the beamforming information; and

a RAKE receiver coupled to the receiving beamformer, wherein the RAKE receiver produces from the spatially filtered signals an information signal.

27. The base station of claim 26 further comprising a transmitting beamformer coupled to the spatial correlator, wherein the transmitting beamformer generates spatial beams in accordance with the beamforming information.

28. The base station of claim 27 wherein the spatial beams are selected from a set of calculated beams comprising narrow beams and overlapping broad beams, where the narrow beams are phase matched to the overlapping wide beams.

29. The base station of claim 26 further comprising a tracker coupled to the spatial correlator and to the receiving beamformer, wherein the tracker tracks the multiple signal parts and optimizes the performance of the receiving beamformer.

30. The base station of claim 26 wherein the array calibration data comprises complex valued array response elements represented as bit-plus-sign imaginary parts and bit-plus-sign real parts.

31. A base station in a wireless CDMA communication system, the base station comprising:

a) an antenna array comprising N antenna elements;

b) a set of N radio frequency transceivers coupled to the N antenna elements; and

c) an adaptive beamformer coupled to the N radio frequency transceivers, wherein the adaptive beamformer generates spatial beams selected from a set of calculated beams comprising narrow beams and broad beams, wherein the narrow beams overlap with, and are phase matched to the broad beams, and wherein the spatial beams control relative phases of signals transmitted by the transceivers from the antenna elements.

32. The base station of claim 31 further comprising a spatial correlator coupled to the adaptive beamformer and to the N transceivers, wherein the spatial correlator correlates received signal information with stored array calibration data to produce beamforming information, and wherein the adaptive beamformer uses the beamforming information to calculate the calculated set of beams.