WO2004068779A1 - Uplink sinr estimation - Google Patents

Uplink sinr estimation Download PDF

Info

Publication number
WO2004068779A1
WO2004068779A1 PCT/CN2003/000101 CN0300101W WO2004068779A1 WO 2004068779 A1 WO2004068779 A1 WO 2004068779A1 CN 0300101 W CN0300101 W CN 0300101W WO 2004068779 A1 WO2004068779 A1 WO 2004068779A1
Authority
WO
WIPO (PCT)
Prior art keywords
channelization code
idle
selecting
channel
uplink
Prior art date
Application number
PCT/CN2003/000101
Other languages
French (fr)
Inventor
Hai Wang
Original Assignee
Telefonaktiebolaget Lm Ericson (Publ)
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Telefonaktiebolaget Lm Ericson (Publ) filed Critical Telefonaktiebolaget Lm Ericson (Publ)
Priority to US10/542,535 priority Critical patent/US20060154633A1/en
Priority to CA002513318A priority patent/CA2513318A1/en
Priority to EP03815510A priority patent/EP1590911A4/en
Priority to JP2004567218A priority patent/JP2006514452A/en
Priority to AU2003227004A priority patent/AU2003227004A1/en
Priority to CNA038258617A priority patent/CN1736054A/en
Priority to PCT/CN2003/000101 priority patent/WO2004068779A1/en
Publication of WO2004068779A1 publication Critical patent/WO2004068779A1/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/20Arrangements for detecting or preventing errors in the information received using signal quality detector
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69Spread spectrum techniques
    • H04B1/707Spread spectrum techniques using direct sequence modulation
    • H04B1/7097Interference-related aspects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04JMULTIPLEX COMMUNICATION
    • H04J13/00Code division multiplex systems
    • H04J13/0007Code type
    • H04J13/004Orthogonal
    • H04J13/0044OVSF [orthogonal variable spreading factor]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04JMULTIPLEX COMMUNICATION
    • H04J13/00Code division multiplex systems
    • H04J13/16Code allocation
    • H04J13/18Allocation of orthogonal codes
    • H04J13/20Allocation of orthogonal codes having an orthogonal variable spreading factor [OVSF]

Definitions

  • the present invention relates to estimation of the Signal to Interference plus Noise Ratio (SINR) of Code Division Multiple Access (CDMA) channels.
  • SINR Signal to Interference plus Noise Ratio
  • the SINR is an important link performance indicator used in CDMA systems for various radio network algorithms, such as inner-loop power control.
  • the SINR estimation is very critical, since it indirectly affects the power management at both base station and mobile station. It is required that the estimated SINR actually reflects the experienced radio link quality and, moreo- ver, that the estimation is as accurate as possible.
  • the SINR estimate is formed by measuring the signal power "S”, and the interference plus noise power, "IN". Although it is quite straightforward to measure "S”, it is far from obvious how to measure "IN”.
  • a previously known method of estimating the power of interference plus noise (IN) is to re-generate the pilot symbols (after de-spreading) and calculate their average deviation from the ideal signal points.
  • SINR is measured every time slot, there are only a few (2-8) pilot symbols available, which means that the obtainable accuracy of the IN measurement is very limited. Since the same IN estimate is used for SINR estimation of any channel, it is appreciated that these estimates will also have limited accuracy.
  • Another method described in [1, 2] is to reserve one downlink channelization code as an "interference plus noise measurement code" which is never used for information transfer.
  • This method generates a downlink IN estimate by de-spreading the received signal with the reserved code.
  • An object of the present invention is to improve the accuracy of the uplink SINR estimation, and especially of the interference plus noise estimation, without requiring an changes to existing standards.
  • the present invention selects an idle (not used) channelization code, which preferably has the lowest possible spreading factor, and uses this code to estimate the power of interference plus noise.
  • an idle code is selected, there is no need to change existing standards.
  • Another advantage of using an idle code is that there will be no code shortage due to SINR measurements.
  • the method makes it possible to search the code tree down to lowest possible spreading factor, thereby increasing the number of symbols in the IN measurement, which will result in a very high accuracy of the IN estimate.
  • Fig. 1 is a conceptual block diagram of a prior art SINR estimation arrangement
  • Fig. 2 is a diagram illustrating the structure of an OVSF code tree
  • Fig. 3 is an OVSF code tree diagram illustrating idle codes when a single DPDCH is used
  • Fig. 4 is an OVSF code tree diagram illustrating idle codes when 2 DPDCHs are used
  • Fig. 5 is an OVSF code tree diagram illustrating idle codes when 3-4 DPDCHs are used;
  • Fig. 6 is an OVSF code tree diagram illustrating idle codes when 5-6
  • DPDCHs are used.
  • Fig. 7 is a conceptual block diagram of an exemplary embodiment of a SINR estimation arrangement in accordance with the present invention.
  • Fig. 8 is a conceptual block diagram of another exemplary embodiment of a SINR estimation arrangement in accordance with the present invention.
  • Fig. 9 is a diagram illustrating the performance improvement that can be obtained by the present invention.
  • Fig. 10 is a flowchart illustrating an exemplary embodiment of the method in accordance with the present invention.
  • SINR bit ⁇ SINR ⁇ , for QPSK
  • SINR for the demodulated raw bits
  • SINRbit for the term “SINR”
  • Fig. 1 illustrates a generic CDMA receiver with function blocks to estimate the SINR by utilizing the associated pilot.
  • the associated pilot is a pre-known symbol/ bit that is transmitted at the same time (in the sense that both the multi-path channel and the interference plus noise power are almost non- varying) and from the same transmitter as the data.
  • Both the dedicated pilot and common pilot in WCDMA and CDMA2000 are examples of such an associated pilot.
  • Fig. 1 is a conceptual block diagram of a prior art SINR estimation arrangement.
  • the received signal samples are forwarded to a receiver filter 10.
  • Receiver filter 10 is either a multi-path channel matched filter or an equalizer.
  • the filtered signal is de-scrambled by the complex conjugate SC* of the complex scrambling code.
  • the de-scrambled signal is de-spread into two parallel signal streams rudata(n) and ru P aot(n) by multiplication with the respective channelization codes CCdat and CCpUot and integration in integrators 12 and 14, respectively.
  • the pilot signal branch is used for the SINR estimation by first multiplying ru P ibt(n) with the complex conjugate of the corresponding known signal u P ii 0 t(n) for obtaining the product signal ruUpaot(n) on which the SINR measurement is based.
  • SINR is then estimated in blocks 16, 18 and 20 using the following equations:
  • SINR pilot Calculated in block 20
  • This SINR estimation for the associated pilot follows the general SINR definition above, but removes the bias in the signal power estimation.
  • the SINR of a data channel can be estimated by simply scaling the estimated SINR of the associated pilot:
  • SFpiht the spreading factor for the associated pilot
  • Pdata the transmission power for the data
  • Ppiiot the transmission power for the associated pilot.
  • the downlink employs QPSK modulation and the uplink employs BPSK modulation.
  • the described method is typical for the uplink dedicated physical data channel utilizing the uplink dedicated pilot in WCDMA and CDMA2000 for SINR estimation. If this estimation method is used, then:
  • SINRdata SINRpilot
  • the estimated data SINR has the same accuracy as the estimated pilot SINR.
  • the estimation accuracy is defined as: accuracy
  • an estimated SINR should be generated every time slot (0.667 ms) and input to the inner-loop power control algorithm. If we assume that the multi-path channel and the interference plus noise power is almost non- varying during one time slot, then the demodulated raw bits are Gaussian distributed and the SINR is fixed during the whole time slot
  • the estimation accura- cy relies on the number of associated pilots that are used in the estimation, the more pilots the higher estimation accuracy.
  • One solution to improve the estimation accuracy is to measure the effective interference plus noise power on a different measurement object than the measurement of the signal power, so that more symbols can be utilized.
  • an idle code is an OVSF code that is not occupied as a channelization code, or used to generate channelization code(s).
  • Fig. 2 illustrates an OVSF code tree.
  • the channelization codes are uniquely described as Cch.sF.k, where SF is the spreading factor of the code and k is the code number, 0 ⁇ k ⁇ SF-1.
  • Each level in the code tree defines channelization codes of length SF, corresponding to a spreading factor of SF.
  • each channelization code word corresponds to the chip transmitted first in time.
  • An important feature of the OVSF code tree is that channelization codes from different branches are orthogonal to each other regardless of spreading factor SF. This feature is used by the present invention, as will be described below.
  • the spreading factor (SF) of the idle code should preferably be as low as possible, so that as many symbols as possible can be used during the same time slot.
  • the lowest SF for an idle code is 2 if all the used codes are from the same half of the OVSF tree. More specifically, if all channelization codes are derived from the OVSF code (1, 1), then OVSF code (1, -1) can be used as the idle code, or vice versa.
  • the idle code channel may be viewed as a channel with zero transmission power, and by using the same analysis method as in [4] it can be shown that:
  • the variance estimation of a desired channel may be performed on an idle channel instead.
  • the estimated SINR for the desired code channel can be calculated as illustrated by the arrangement in Fig. 7, which illustrates the parts of a base station that are essential for explaining this exemplary embodiment of present invention.
  • the de-scrambled signal is de-spread into two parallel signal streams ⁇ iDPccH(n) and ruidie(n) by multiplication with the respective channelization codes CCDPCCH and CCidie and integration in integrators 12 and 14, respectively.
  • the idle channelization code has been selected by an idle code selection block 28 based on the OVSF code tree in Fig. 2 and occupied codes known to the base station. It may, for example, be implemented as a simple lookup table. SINR is then estimated in blocks 16, 30 and 32 using the following equations:
  • Npihts is the number of pilot symbols used in the estimation
  • Nidie is the number of idle symbols used in the estimation.
  • the estimated SINR for the desired code channel can still be non-coherently calculated as illustrated by the arrangement in Fig. 8, which illustrates the parts of a base station that are essential for explaining this exemplary embodiment of present invention.
  • the de-scrambled signal is de-spread into two parallel signal streams ruDP CH(n) and rUidie(n) by multiplication with the respective channelization codes CCDPDCH and CCidie and integration in integrators 12 and 14, respectively.
  • the idle channelizati- on code has been selected by an idle code selection block 28 based on the OVSF code tree in Fig. 2 and occupied codes known to the base station. It may, for example, be implemented as a simple lookup table.
  • NDPDCH is the number of signal symbols used in the estimation
  • Nidie is the number of idle symbols used in the estimation.
  • the functionality of the arrangement of the present invention is typically implemented as a microprocessor or a micro/ signal processor combination and corresponding software.
  • the described prior art method only utilizes the 3 ⁇ 8 dedicated pilot symbols to estimate the SINR.
  • the method in accordance with the present invention may maximally utilize 1280 (2560/2) "idle symbols" to measure the effective interference plus noise power during one time slot. This is a main benefit of using an idle code channel (with low spreading factor) to assist the SINR estimation.
  • the new method can also utilize all of the 10 DPCCH symbols to measure the DPCCH power, and all symbols on the DPDCH channel to measure the DPDCH power.
  • Fig. 9 is a diagram illustrating the performance improvement that can be obtained by the present invention.
  • Step SI estimates the power of a desired channel using its channelization code.
  • Step S2 searches for and selects a low SF idle channelization code from the OVSF tree using information regarding occupied channelization codes.
  • Step S3 estimates the power of interference plus noise using the determined idle channelization code.
  • Step S4 forms an estimate of SINR using the determined power estimates. If the channelization codes have different spreading factors, the estimates obtained in step S3 is rescaled accordingly.
  • step S5 returns the procedure to step SI for estimating SINR of the next time slot.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

An arrangement estimates the uplink SINR of a CDMA channel. It includes means (40) for estimating the signal power using the channelization code of the channel. A selector (28) searches for and selects an idle channelization code that is orthogonal to the channelization code of the channel. This idle code is used by further means (30) for estimating the power of interference plus noise. Means (42) then form the SINR estimate using these estimates.

Description

UPLINK SINR ESTIMATION
TECHNICAL FIELD
The present invention relates to estimation of the Signal to Interference plus Noise Ratio (SINR) of Code Division Multiple Access (CDMA) channels.
BACKGROUND
The SINR is an important link performance indicator used in CDMA systems for various radio network algorithms, such as inner-loop power control. The SINR estimation is very critical, since it indirectly affects the power management at both base station and mobile station. It is required that the estimated SINR actually reflects the experienced radio link quality and, moreo- ver, that the estimation is as accurate as possible.
The SINR estimate is formed by measuring the signal power "S", and the interference plus noise power, "IN". Although it is quite straightforward to measure "S", it is far from obvious how to measure "IN".
A previously known method of estimating the power of interference plus noise (IN) is to re-generate the pilot symbols (after de-spreading) and calculate their average deviation from the ideal signal points. However, since the SINR is measured every time slot, there are only a few (2-8) pilot symbols available, which means that the obtainable accuracy of the IN measurement is very limited. Since the same IN estimate is used for SINR estimation of any channel, it is appreciated that these estimates will also have limited accuracy.
Another method described in [1, 2] is to reserve one downlink channelization code as an "interference plus noise measurement code" which is never used for information transfer. This method generates a downlink IN estimate by de-spreading the received signal with the reserved code. However, this method has several drawbacks. Firstly, it requires a redefinition of existing standards, since it reserves codes for IN measurements. Secondly, in order to avoid a shortage of channelization codes, a code having a high spreading factor (SF=256) is reserved. This limits the obtainable accuracy improvement, since a higher spreading factor corresponds to fewer symbols.
SUMMARY
An object of the present invention is to improve the accuracy of the uplink SINR estimation, and especially of the interference plus noise estimation, without requiring an changes to existing standards.
This object is achieved in accordance with the attached claims.
Briefly, the present invention selects an idle (not used) channelization code, which preferably has the lowest possible spreading factor, and uses this code to estimate the power of interference plus noise. AN advantage is that since an idle code is selected, there is no need to change existing standards. Another advantage of using an idle code (such codes are always available on the uplink) is that there will be no code shortage due to SINR measurements. Furthermore, the method makes it possible to search the code tree down to lowest possible spreading factor, thereby increasing the number of symbols in the IN measurement, which will result in a very high accuracy of the IN estimate.
BRIEF DESCRIPTION OF THE DRAWINGS
The invention, together with further objects and advantages thereof, may best be understood by making reference to the following description taken together with the accompanying drawings, in which: Fig. 1 is a conceptual block diagram of a prior art SINR estimation arrangement;
Fig. 2 is a diagram illustrating the structure of an OVSF code tree; Fig. 3 is an OVSF code tree diagram illustrating idle codes when a single DPDCH is used;
Fig. 4 is an OVSF code tree diagram illustrating idle codes when 2 DPDCHs are used;
Fig. 5 is an OVSF code tree diagram illustrating idle codes when 3-4 DPDCHs are used; Fig. 6 is an OVSF code tree diagram illustrating idle codes when 5-6
DPDCHs are used;
Fig. 7 is a conceptual block diagram of an exemplary embodiment of a SINR estimation arrangement in accordance with the present invention;
Fig. 8 is a conceptual block diagram of another exemplary embodiment of a SINR estimation arrangement in accordance with the present invention;
Fig. 9 is a diagram illustrating the performance improvement that can be obtained by the present invention; and
Fig. 10 is a flowchart illustrating an exemplary embodiment of the method in accordance with the present invention.
DETAILED DESCRIPTION
In the following description the same reference designations will be used for the same or similar elements throughout the figures of the drawings.
Furthermore, it is assumed that only BPSK or QPSK modulation is employed, that Orthogonal Variable Spreading Factor (OVSF) codes are used as channelization codes and that the scrambling code is a complex sequence with a Long enough period. Both WCDMA and CDMA2000 fulfill these assumptions. The SINR for the de-spread symbols and de-modulated raw bits is generally defined respectively as:
Ssym _ \\E(symbol)f
SINRm!n, =
'*** I fN sym Var(symbol)
SINRbit =
Figure imgf000005_0001
where "E( )" denotes expectation (statistical averaging). If the phase compensation is perfect, then:
2 - SINRsyn , for BPSK
SINRbit = \ SINR^ , for QPSK
For this reason, this document will primarily discuss SINR for the demodulated raw bits, and the term "SINR" will generally stands for "SINRbit".
Different vendors may have different ways to estimate SINR. As an example Fig. 1 illustrates a generic CDMA receiver with function blocks to estimate the SINR by utilizing the associated pilot. The associated pilot is a pre-known symbol/ bit that is transmitted at the same time (in the sense that both the multi-path channel and the interference plus noise power are almost non- varying) and from the same transmitter as the data. Both the dedicated pilot and common pilot in WCDMA and CDMA2000 are examples of such an associated pilot. Fig. 1 is a conceptual block diagram of a prior art SINR estimation arrangement. The received signal samples are forwarded to a receiver filter 10. Receiver filter 10 is either a multi-path channel matched filter or an equalizer. The filtered signal is de-scrambled by the complex conjugate SC* of the complex scrambling code. The de-scrambled signal is de-spread into two parallel signal streams rudata(n) and ruPaot(n) by multiplication with the respective channelization codes CCdat and CCpUot and integration in integrators 12 and 14, respectively. The pilot signal branch is used for the SINR estimation by first multiplying ruPibt(n) with the complex conjugate of the corresponding known signal uPii0t(n) for obtaining the product signal ruUpaot(n) on which the SINR measurement is based. SINR is then estimated in blocks 16, 18 and 20 using the following equations:
SINR pilot = Calculated in block 20
Figure imgf000006_0001
where
N pilots m pilot ∑ruu≠ot(n) Calculated in block 16
N pilots rt=\
std puot Calculated in block 18
Figure imgf000006_0002
and Npuots is the number of pilot symbols used in the estimation (1 symbol = 1 bit for BPSK and 2 bits for QPSK). This SINR estimation for the associated pilot follows the general SINR definition above, but removes the bias in the signal power estimation. In general the SINR of a data channel can be estimated by simply scaling the estimated SINR of the associated pilot:
SINRdata =
Figure imgf000007_0001
where
MF ata = modulation factor for the data (2=BPSK, 1=QPSK) MFpUot = modulation factor for the associated pilot (2=BPSK, 1= QPSK) SFdata - the spreading factor for the data SFpiht = the spreading factor for the associated pilot
Pdata = the transmission power for the data Ppiiot = the transmission power for the associated pilot.
In WCDMA and CDMA2000 the downlink employs QPSK modulation and the uplink employs BPSK modulation.
The described method is typical for the uplink dedicated physical data channel utilizing the uplink dedicated pilot in WCDMA and CDMA2000 for SINR estimation. If this estimation method is used, then:
SINRdata = SINRpilot
SINRdata SINRpilot
i.e. the estimated data SINR has the same accuracy as the estimated pilot SINR. The estimation accuracy is defined as: accuracy
Figure imgf000008_0001
It is required by the "3rd Generation Partnership Project" (3 GPP) that the accuracy ≥ 90% for XOB = 3 dB in the interval -7 dB < lO ogιo(SWRactuai) < 7 dB with 80 s averaging interval.
In WCDMA an estimated SINR should be generated every time slot (0.667 ms) and input to the inner-loop power control algorithm. If we assume that the multi-path channel and the interference plus noise power is almost non- varying during one time slot, then the demodulated raw bits are Gaussian distributed and the SINR is fixed during the whole time slot The dedicated physical control channel has only 2-8 dedicated pilot symbols (1 symbol=2 bits) per time slot in the downlink and 3-8 dedicated pilot symbols (1 symbol= 1 bit) in the uplink depending on slot format. The estimation accura- cy relies on the number of associated pilots that are used in the estimation, the more pilots the higher estimation accuracy.
One solution to improve the estimation accuracy is to measure the effective interference plus noise power on a different measurement object than the measurement of the signal power, so that more symbols can be utilized. In accordance with the present invention, on the uplink the measurement of the effective interference plus noise power is performed on an idle code channel. An idle code is an OVSF code that is not occupied as a channelization code, or used to generate channelization code(s). Fig. 2 illustrates an OVSF code tree. The channelization codes are uniquely described as Cch.sF.k, where SF is the spreading factor of the code and k is the code number, 0 < k ≤ SF-1. Each level in the code tree defines channelization codes of length SF, corresponding to a spreading factor of SF. The leftmost value in each channelization code word corresponds to the chip transmitted first in time. An important feature of the OVSF code tree is that channelization codes from different branches are orthogonal to each other regardless of spreading factor SF. This feature is used by the present invention, as will be described below.
In order to get an accurate estimate of the effective interference plus noise power, the spreading factor (SF) of the idle code should preferably be as low as possible, so that as many symbols as possible can be used during the same time slot. The lowest SF for an idle code is 2 if all the used codes are from the same half of the OVSF tree. More specifically, if all channelization codes are derived from the OVSF code (1, 1), then OVSF code (1, -1) can be used as the idle code, or vice versa.
This proposed idle code scheme neither requires any changes to existing standards nor creates any extra signalling burden. Since the base station already knows a user's channelization codes in order to de-spread the different code channels from this user, it can derive the best idle code by looking up the OVSF code tree. More specifically, from the 3GPP specification [3] the following conclusions can be derived for WCDMA:
1. The channelization code Cch.2.1 (SF=2) is always idle when 1 or 2 DPDCHs are transmitted on the uplink, as illustrated in Fig. 3 and 4 (in fact the entire lower branch includes idle codes, but CCh.2,ι has the lowest spreading factor (SF=2) and is thus preferred).
2. The channelization code Cch-4,2 (SF=4) (and the branch starting there) is always idle when 3 or 4 DPDCHs are transmitted on the uplink, as illustrated in Fig. 5. 3. The channelization code Cch,8(ι (SF=8) (and the branch starting there) is always idle when 5 or 6 DPDCHs are transmitted on the uplink, as illustrated in Fig. 6.
The idle code channel may be viewed as a channel with zero transmission power, and by using the same analysis method as in [4] it can be shown that:
Var{ruudesired)
Figure imgf000010_0001
Thus, by proper rescaling, the variance estimation of a desired channel may be performed on an idle channel instead.
If the desired code channel has time-multiplexed pilot symbols, which is the case for the Dedicated Physical Control Channel (DPCCH) , for example, then the estimated SINR for the desired code channel can be calculated as illustrated by the arrangement in Fig. 7, which illustrates the parts of a base station that are essential for explaining this exemplary embodiment of present invention. In this embodiment the de-scrambled signal is de-spread into two parallel signal streams πiDPccH(n) and ruidie(n) by multiplication with the respective channelization codes CCDPCCH and CCidie and integration in integrators 12 and 14, respectively. The idle channelization code has been selected by an idle code selection block 28 based on the OVSF code tree in Fig. 2 and occupied codes known to the base station. It may, for example, be implemented as a simple lookup table. SINR is then estimated in blocks 16, 30 and 32 using the following equations:
SINRDPCCH Calculated in block 32
Figure imgf000010_0002
where
1 N ilots m pilot = Hrmpilot(n) Calculated in block 16
^ pilots «=1
Calculated in block 30
Figure imgf000011_0001
and Npihts is the number of pilot symbols used in the estimation
Nidie is the number of idle symbols used in the estimation.
Here the notation m h, o „te ,ll2 is used to indicate that the average is formed from
the squared norm of the signal samples.
If the desired code channel does not have any pilot symbols, which is the case for the Dedicated Physical Data Channel (DPDCH), for example, then the estimated SINR for the desired code channel can still be non-coherently calculated as illustrated by the arrangement in Fig. 8, which illustrates the parts of a base station that are essential for explaining this exemplary embodiment of present invention. In this embodiment the de-scrambled signal is de-spread into two parallel signal streams ruDP CH(n) and rUidie(n) by multiplication with the respective channelization codes CCDPDCH and CCidie and integration in integrators 12 and 14, respectively. The idle channelizati- on code has been selected by an idle code selection block 28 based on the OVSF code tree in Fig. 2 and occupied codes known to the base station. It may, for example, be implemented as a simple lookup table. SINR is then estimated in blocks 30, 40 and 42 using the following equations: SINRDPDCH = Calculated in block 42
Figure imgf000012_0001
where
N DPDCH rn,
DPDCHf yV Σ lm DPDCH (n)\ Calculated in block 40
DPDCH »=1
N i,dle m„ idle |2 -
N, Σ Nrfte(»)| Calculated in block 30 idle «=1
and
NDPDCH is the number of signal symbols used in the estimation Nidie is the number of idle symbols used in the estimation.
The functionality of the arrangement of the present invention is typically implemented as a microprocessor or a micro/ signal processor combination and corresponding software.
For WCDMA uplink the described prior art method only utilizes the 3~8 dedicated pilot symbols to estimate the SINR. In contrast the method in accordance with the present invention may maximally utilize 1280 (2560/2) "idle symbols" to measure the effective interference plus noise power during one time slot. This is a main benefit of using an idle code channel (with low spreading factor) to assist the SINR estimation. The new method can also utilize all of the 10 DPCCH symbols to measure the DPCCH power, and all symbols on the DPDCH channel to measure the DPDCH power. Fig. 9 is a diagram illustrating the performance improvement that can be obtained by the present invention. The figure compares the SINR estimation based on an idle code channel (SF=2) with the SINR estimation based on 8 dedicated pilot symbols (1 symbol = 1 bit due to BPSK modulation). The estimation accuracy is improved from 70% to 95% (ιβ =3 dB) in this example. If the dedicated pilot symbols are fewer than 8, then the improvement is even larger.
Fig. 10 is a flowchart summarizing an exemplary embodiment of the method in accordance with the present invention. Step SI estimates the power of a desired channel using its channelization code. Step S2 searches for and selects a low SF idle channelization code from the OVSF tree using information regarding occupied channelization codes. Step S3 estimates the power of interference plus noise using the determined idle channelization code. Step S4 forms an estimate of SINR using the determined power estimates. If the channelization codes have different spreading factors, the estimates obtained in step S3 is rescaled accordingly. Finally, step S5 returns the procedure to step SI for estimating SINR of the next time slot.
It will be understood by those skilled in the art that various modifications and changes may be made to the present invention without departure from the scope thereof, which is defined by the appended claims.
REFERENCES
[1] TSGRl #4(99)348, "Proposal for downlink interference measurement method*. TSG-RAN Working Group 1 meeting #4, Shin-Yokohama, Japan, April 18-20, 1999.
[2] WO 00/57654.
[3] TS 25.213, "Spreading and modulation (FDD)," version 3.1.0.
[4] Wang Hai, Niclas Wiberg, "Analysis of a CDMA downlink in multi-path fading channels," in Proceeding IEEE Wireless Communication 8s Networking Conference (WCNC), Orlando, FL, Mar. 17-21, 2002, pp. 517- 521.

Claims

What is claimed is
1. A method of estimating an uplink SINR of a CDMA channel, including the steps of
5 determining a first estimate of the signal power using the channelization code of said channel; searching for and selecting an idle channelization code that is orthogonal to the channelization code of said channel; determining a second estimate of the power of interference plus noise o using said idle channelization code; and forming said SINR estimate using said first and second estimates.
2. The method of claim 1, wherein said forming step includes rescaling said second estimate if the channelization code of said channel and said idle chan- 5 nelization code have different spreading factors.
3. The method of claim 1, including selecting an idle channelization code having lowest possible spreading factor.
0 4. The method of claim 3, including selecting the idle channelization code Cch.2,1 when 1 or 2 Dedicated Physical Data Channels are used on the uplink.
5. The method of claim 3, including selecting the idle channelization code Cch.4,2 when 3 or 4 Dedicated Physical Data Channels are used on the uplink. 5
6. The method of claim 3, including selecting the idle channelization code Cch.8,1 when 5 or 6 Dedicated Physical Data Channels are used on the uplink.
7. A method of estimating the power of uplink interference plus noise on a 0 CDMA channel, including the steps of searching for and selecting an idle channelization code that is orthogonal to the channelization code of said channel; determining an estimate of the power of interference plus noise using said idle channelization code.
8. The method of claim 7, including selecting an idle channelization code having lowest possible spreading factor.
9. An arrangement for estimating an uplink SINR of a CDMA channel, including means (16, 40) for determining a first estimate of the signal power using the channelization code of said channel; means (28) searching for and selecting an idle channelization code that is orthogonal to the channelization code of said channel; means (30) for determining a second estimate of the power of interference plus noise using said idle channelization code; and means (32, 42) for forming said SINR estimate using said first and second estimates.
10. The arrangement of claim 9, including means (32, 42) for rescaling said second estimate if the channelization code of said channel and said idle channelization code have different spreading factors.
11. The arrangement of claim 9, including means (28) for selecting an idle channelization code having lowest possible spreading factor.
12. The arrangement of claim 11, including means (28) for selecting the idle channelization code Cch,2>ι when 1 or 2 Dedicated Physical Data Channels are used on the uplink.
13. The arrangement of claim 11, including means (28) for selecting the idle channelization code Cch.4,2 when 3 or 4 Dedicated Physical Data Channels are used on the uplink.
14. The arrangement of claim 11, including means (28) for selecting the idle channelization code CCh,8>ι when 5 or 6 Dedicated Physical Data Channels are used on the uplink.
15. An arrangement for estimating the power of uplink interference plus noise on a CDMA channel, including means (28) searching for and selecting an idle channelization code that is orthogonal to the channelization code of said channel; means (30) for determining an estimate of the power of interference plus noise using said idle channelization code.
16. The arrangement of claim 15, including means (28) for selecting an idle channelization code having lowest possible spreading factor.
17. A base station having an arrangement for estimating an uplink SINR of a CDMA channel, including means (16, 40) for determining a first estimate of the signal power using the channelization code of said channel; means (28) searching for and selecting an idle channelization code that is orthogonal to the channelization code of said channel; means (30) for determining a second estimate of the power of interference plus noise using said idle channelization code; and means (32, 42) for forming said SINR estimate using said first and second estimates.
18. The base station of claim 17, including means (32, 42) for rescaling said second estimate if the channelization code of said channel and said idle channelization code have different spreading factors.
19. The base station of claim 17, including means (28) for selecting an idle channelization code having lowest possible spreading factor.
20. The base station of claim 19, including means (28) for selecting the idle channelization code CCh,2,ι when 1 or 2 Dedicated Physical Data Channels are used on the uplink.
21. The base station of claim 19, including means (28) for selecting the idle channelization code Cch.4.2 when 3 or 4 Dedicated Physical Data Channels are used on the uplink.
22. The base station of claim 19, including means (28) for selecting the idle channelization code Cch-s.i when 5 or 6 Dedicated Physical Data Channels are used on the uplink.
23. A base station having an arrangement for estimating the power of uplink interference plus noise on a CDMA channel, including means (28) searching for and selecting an idle channelization code that is orthogonal to the channelization code of said channel; means (30) for determining an estimate of the power of interference plus noise using said idle channelization code.
24. The base station of claim 23, including means (28) for selecting an idle channelization code having lowest possible spreading factor.
PCT/CN2003/000101 2003-01-29 2003-01-29 Uplink sinr estimation WO2004068779A1 (en)

Priority Applications (7)

Application Number Priority Date Filing Date Title
US10/542,535 US20060154633A1 (en) 2003-01-29 2003-01-29 Uplink sinr estimation
CA002513318A CA2513318A1 (en) 2003-01-29 2003-01-29 Uplink sinr estimation
EP03815510A EP1590911A4 (en) 2003-01-29 2003-01-29 Uplink sinr estimation
JP2004567218A JP2006514452A (en) 2003-01-29 2003-01-29 Uplink SINR estimation
AU2003227004A AU2003227004A1 (en) 2003-01-29 2003-01-29 Uplink sinr estimation
CNA038258617A CN1736054A (en) 2003-01-29 2003-01-29 Uplink SINR estimation
PCT/CN2003/000101 WO2004068779A1 (en) 2003-01-29 2003-01-29 Uplink sinr estimation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2003/000101 WO2004068779A1 (en) 2003-01-29 2003-01-29 Uplink sinr estimation

Publications (1)

Publication Number Publication Date
WO2004068779A1 true WO2004068779A1 (en) 2004-08-12

Family

ID=32778643

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2003/000101 WO2004068779A1 (en) 2003-01-29 2003-01-29 Uplink sinr estimation

Country Status (6)

Country Link
EP (1) EP1590911A4 (en)
JP (1) JP2006514452A (en)
CN (1) CN1736054A (en)
AU (1) AU2003227004A1 (en)
CA (1) CA2513318A1 (en)
WO (1) WO2004068779A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007096799A1 (en) * 2006-02-22 2007-08-30 Nxp B.V. A symbol-level adaptation method, memory, equalizer and receiver for implementing this method
CN101588590B (en) * 2008-05-20 2011-04-27 ***通信集团公司 Method and device for estimating channel quality of uplink data channels

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7561615B2 (en) * 2005-03-18 2009-07-14 Interdigital Technology Corporation Method and apparatus for compensating for phase noise of symbols spread with a long spreading code
US8699553B2 (en) * 2010-02-19 2014-04-15 Telefonaktiebolaget Lm Ericsson (Publ) Data-aided SIR estimation

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998051030A1 (en) * 1997-05-01 1998-11-12 Northern Telecom Limited Method and system for determining signal to interference plus noise power ratio (sinr) in a communications system
WO2000054427A1 (en) * 1999-03-10 2000-09-14 Nokia Mobile Phones Ltd. Adaptive channel equalizer
WO2000057654A2 (en) * 1999-03-19 2000-09-28 Telefonaktiebolaget Lm Ericsson (Publ) Code reservation for interference measurement in a cdma radiocommunication system

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3457357B2 (en) * 1993-07-23 2003-10-14 株式会社日立製作所 Spread spectrum communication system, transmission power control method, mobile terminal device, and base station
US6373878B1 (en) * 1998-11-02 2002-04-16 Telefonaktiebolaget Lm Ericsson (Publ) Using a fast AGC as part of SIR calculation
KR100346227B1 (en) * 1999-09-18 2002-08-01 삼성전자 주식회사 Apparatus and method for noise power estimation in cdma mobile communication system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998051030A1 (en) * 1997-05-01 1998-11-12 Northern Telecom Limited Method and system for determining signal to interference plus noise power ratio (sinr) in a communications system
WO2000054427A1 (en) * 1999-03-10 2000-09-14 Nokia Mobile Phones Ltd. Adaptive channel equalizer
WO2000057654A2 (en) * 1999-03-19 2000-09-28 Telefonaktiebolaget Lm Ericsson (Publ) Code reservation for interference measurement in a cdma radiocommunication system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP1590911A4 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007096799A1 (en) * 2006-02-22 2007-08-30 Nxp B.V. A symbol-level adaptation method, memory, equalizer and receiver for implementing this method
JP2009527967A (en) * 2006-02-22 2009-07-30 エヌエックスピー ビー ヴィ Symbol-level adaptation method and memory, equalizer, receiver for implementing the method
US8208457B2 (en) 2006-02-22 2012-06-26 St-Ericsson Sa Symbol-level adaptation method, memory, equalizer and receiver for implementing this method
CN101588590B (en) * 2008-05-20 2011-04-27 ***通信集团公司 Method and device for estimating channel quality of uplink data channels

Also Published As

Publication number Publication date
CA2513318A1 (en) 2004-08-12
CN1736054A (en) 2006-02-15
JP2006514452A (en) 2006-04-27
AU2003227004A1 (en) 2004-08-23
EP1590911A4 (en) 2008-05-28
EP1590911A1 (en) 2005-11-02

Similar Documents

Publication Publication Date Title
JP4574924B2 (en) Method and apparatus for determining a closed loop power control set point in a wireless packet data communication system
US7356071B2 (en) Method and apparatus for estimating signal-to-noise ratio based on dedicated physical channel pilot symbols
RU2233548C2 (en) Device and method for evaluating burst data transfer speed in mobile communication system
KR100888188B1 (en) Method and apparatus for improving noise power estimate in wcdma network
US7848389B2 (en) Method and apparatus for scaling parameter estimation in parametric generalized rake receivers
KR100617674B1 (en) Multiple walsh code demodulator using chip combiner and method thereof
JP3759963B2 (en) Variable rate transmission method, reception method, variable rate transmission device, and reception device
US7889782B2 (en) Joint de-spreading and frequency correction using a correlator
US8576963B2 (en) Non-coherent detection apparatus and method for IEEE 802.15.4 LR-WPAN BPSK receiver
US20040264604A1 (en) Unbiased signal to interference ratio in wireless communications devices and methods therefor
EP2127117A2 (en) Mmse channel estimation in a communications receiver
KR20000006161A (en) Apparatus and method for measuring non-orthogonal noise in cdma communication system
US20040252793A1 (en) Channel estimation method and apparatus
US20030053522A1 (en) Method and device for estimating a channel propagation
US20060154633A1 (en) Uplink sinr estimation
US20030156563A1 (en) Data signal demodulation in a communication system
US7489732B2 (en) Decreasing computational complexity of TD-SCDMA measurement process
US6674792B1 (en) Demodulation of receiver with simple structure
KR100699388B1 (en) Processor and method for weight detection in a closed loop wcdma system with multipath diversity
WO2004068779A1 (en) Uplink sinr estimation
US20020131483A1 (en) Spreading factor estimation system and method
JP3886748B2 (en) Demodulator, demodulation method, and communication apparatus
KR100386569B1 (en) channel estimation method, and apparatus for the same
EP1225708A2 (en) Spreading factor estimation system and method
JP2001223621A (en) Receiver

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ OM PH PL PT RO RU SC SD SE SG SK SL TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LU MC NL PT SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
WWE Wipo information: entry into national phase

Ref document number: 2513318

Country of ref document: CA

WWE Wipo information: entry into national phase

Ref document number: 3138/DELNP/2005

Country of ref document: IN

WWE Wipo information: entry into national phase

Ref document number: 20038258617

Country of ref document: CN

WWE Wipo information: entry into national phase

Ref document number: 2003815510

Country of ref document: EP

Ref document number: 2004567218

Country of ref document: JP

WWP Wipo information: published in national office

Ref document number: 2003815510

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2006154633

Country of ref document: US

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 10542535

Country of ref document: US

WWP Wipo information: published in national office

Ref document number: 10542535

Country of ref document: US

WWW Wipo information: withdrawn in national office

Ref document number: 2003815510

Country of ref document: EP