EP1590911A1 - Uplink sinr estimation - Google Patents
Uplink sinr estimationInfo
- Publication number
- EP1590911A1 EP1590911A1 EP03815510A EP03815510A EP1590911A1 EP 1590911 A1 EP1590911 A1 EP 1590911A1 EP 03815510 A EP03815510 A EP 03815510A EP 03815510 A EP03815510 A EP 03815510A EP 1590911 A1 EP1590911 A1 EP 1590911A1
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- European Patent Office
- Prior art keywords
- channelization code
- idle
- selecting
- channel
- uplink
- Prior art date
- Legal status (The legal status 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 status listed.)
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- 108010003272 Hyaluronate lyase Proteins 0.000 claims description 31
- 238000000034 method Methods 0.000 claims description 21
- 230000007480 spreading Effects 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 11
- 238000005259 measurement Methods 0.000 description 9
- 230000008901 benefit Effects 0.000 description 4
- 230000006872 improvement Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 230000010354 integration Effects 0.000 description 3
- 238000012935 Averaging Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- GVVPGTZRZFNKDS-JXMROGBWSA-N geranyl diphosphate Chemical compound CC(C)=CCC\C(C)=C\CO[P@](O)(=O)OP(O)(O)=O GVVPGTZRZFNKDS-JXMROGBWSA-N 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details 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
- H04B1/69—Spread spectrum techniques
- H04B1/707—Spread spectrum techniques using direct sequence modulation
- H04B1/7097—Interference-related aspects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J13/00—Code division multiplex systems
- H04J13/0007—Code type
- H04J13/004—Orthogonal
- H04J13/0044—OVSF [orthogonal variable spreading factor]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J13/00—Code division multiplex systems
- H04J13/16—Code allocation
- H04J13/18—Allocation of orthogonal codes
- H04J13/20—Allocation 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.
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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 =
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
where
N pilots m pilot ∑ruu≠ot(n) Calculated in block 16
N pilots rt=\
std puot Calculated in block 18
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 =
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
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)
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
where
1 N ilots m pilot = Hrmpilot(n) Calculated in block 16
^ pilots «=1
Calculated in block 30
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
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
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.
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PCT/CN2003/000101 WO2004068779A1 (en) | 2003-01-29 | 2003-01-29 | Uplink sinr estimation |
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EP1590911A4 EP1590911A4 (en) | 2008-05-28 |
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EP03815510A Withdrawn EP1590911A4 (en) | 2003-01-29 | 2003-01-29 | Uplink sinr estimation |
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JP (1) | JP2006514452A (en) |
CN (1) | CN1736054A (en) |
AU (1) | AU2003227004A1 (en) |
CA (1) | CA2513318A1 (en) |
WO (1) | WO2004068779A1 (en) |
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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 |
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 | 中国移动通信集团公司 | Channel quality estimation method and device for uplink data channel |
US8699553B2 (en) * | 2010-02-19 | 2014-04-15 | Telefonaktiebolaget Lm Ericsson (Publ) | Data-aided SIR estimation |
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WO2001022623A1 (en) * | 1999-09-18 | 2001-03-29 | Samsung Electronics Co., Ltd | Apparatus and method for measuring noise power in a cdma mobile communication system |
US6373878B1 (en) * | 1998-11-02 | 2002-04-16 | Telefonaktiebolaget Lm Ericsson (Publ) | Using a fast AGC as part of SIR calculation |
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US7151761B1 (en) * | 1999-03-19 | 2006-12-19 | Telefonaktiebolaget L M Ericsson (Publ) | Code reservation for interference measurement in a CDMA radiocommunication system |
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2003
- 2003-01-29 CA CA002513318A patent/CA2513318A1/en not_active Abandoned
- 2003-01-29 WO PCT/CN2003/000101 patent/WO2004068779A1/en not_active Application Discontinuation
- 2003-01-29 EP EP03815510A patent/EP1590911A4/en not_active Withdrawn
- 2003-01-29 CN CNA038258617A patent/CN1736054A/en active Pending
- 2003-01-29 JP JP2004567218A patent/JP2006514452A/en active Pending
- 2003-01-29 AU AU2003227004A patent/AU2003227004A1/en not_active Abandoned
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US5559790A (en) * | 1993-07-23 | 1996-09-24 | Hitachi, Ltd. | Spread spectrum communication system and transmission power control method therefor |
US6373878B1 (en) * | 1998-11-02 | 2002-04-16 | Telefonaktiebolaget Lm Ericsson (Publ) | Using a fast AGC as part of SIR calculation |
WO2001022623A1 (en) * | 1999-09-18 | 2001-03-29 | Samsung Electronics Co., Ltd | Apparatus and method for measuring noise power in a cdma mobile communication system |
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WO2004068779A1 (en) | 2004-08-12 |
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 |
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