WO2006015516A1

WO2006015516A1 - Method and device for optimizing sir value in transmission power control of cdma communication system

Info

Publication number: WO2006015516A1
Application number: PCT/CN2004/000940
Authority: WO
Inventors: Luobao Li; Yincheng Zhang; Benshou Wu
Original assignee: Zte Corporation
Priority date: 2004-08-12
Filing date: 2004-08-12
Publication date: 2006-02-16

Abstract

The present invention relates to a method for optimizing SIR target values of wireless link based on many parameters in the transmission power control for CDMA system, in which measures relevant parameter values according to a plurality of time period, compares measured value and target value of corresponding parameters, adjusts said relevant parameters based on said comparative results and optimizes SIR target value. Said parameters include the measured values of FER, BLER, BER and the errors of target value.

Description

SIR value optimization method and device in power control of CDMA communication system

The present invention relates to a method for power control of a CDMA (Code Division Multiple Access) system, and more particularly to a signal-to-interference ratio (SIR) optimization method for power control in a TD-SCDMA (Time Division - Synchronous Code Division Multiple Access) system. Background technique

In the CDMA system, since the measurement of a single parameter cannot accurately reflect the quality of the service, the signal-to-interference ratio SIR and the bit error ratio (BER) do not have a fixed mapping relationship, but must be dynamically corrected to adapt to the environmental changes of the terminal. The power control of the system is adaptively controlled under multiple constraints.

In CDMA systems, power control typically uses open loop control or simple closed loop control. The purpose of open loop power control is to provide a rough estimate of the initial transmit power. It is a process of estimating the path loss and the level of interference based on the measurement results to calculate the initial transmit power. The result is that the control error is large, the network load does not meet the theoretical design requirements, and the call quality deteriorates. In order to overcome the effects of near-far effects, shadow effects and Doppler effects on the received power, it is necessary to quickly increase or decrease the power of the terminal to improve the quality of the service and the capacity of the network. In the TD-SCDMA system, the maximum power control frequency is 200 Hz, which is determined by the protocol specification and cannot be improved. Only the accurate SIR target value control can be used to quickly correct the change of the service shield caused by the change of the terminal equipment environment.

In order to optimize the SIR target value reflecting the traffic shield, the error rate (BE), block error rate (BLER), frame error rate (FER) and SIR measurements must be performed. The target SIR is corrected in real time based on the results of these measurements. value.

The conventional outer loop power control algorithm is simple, but the control process is too rough and far from the optimal control. The usual control process is as shown in Figure 1 of the specification. In Figure 1, if the measured value of the block error rate ^E ? _meas > BLER _tar , then the signal-to-interference ratio ^? ^ is a predetermined step size. The goal is to quickly reach the SIR target value required by the business.

Such as BLER _s BLEJ^, then reduce the signal to interference ratio _tar - a predetermined step size. The purpose is to slowly reduce the SIR when increasing the network capacity when the service BER is satisfied.

The general improvement method is that the receiving end judges a certain number of data blocks received, and if it is a good data block, the target value is lowered, and if the bad data block is raised, the target value is raised. The reduced step size s _DEC and the raised step size S are fixed and satisfy the following relationship:

BLER _TAR XS _MC = ( - BLER _TAR ) x S _DEC assumes s? _tar = 0.01, s _DEC = 0.1dB, then 3⁄4^ = 9.9dB. It can be seen from this that the step size and the step size are not equal. If the descending step size is set unreasonably, the step size of the rise will be too large, and the average SIR will increase, which affects the power control effect. In addition, the system must receive and compare consecutive multi-frame data blocks to obtain the step adjustment result. If the value of the frame number N is too large, the convergence speed of the algorithm will be slow.

For this purpose, multiple step adjustments must be used. Although long-term statistics can more accurately reflect the average value of BLER, they cannot accurately reflect the current channel change. Therefore, the entire time period of the measurement is divided into multiple segments, and the BLER is measured separately, and which step size is used to adjust the target value.

In actual situations, it is difficult to determine the direct mapping relationship between the difference between the BLER measurement value and the BLER target value to the SIR target value. One way is to adopt separate closed-loop control of BLER and BER, and finally correct SIR, but generally do not fully consider the measurement time range of FER, BLER and BER and the meaning of each parameter. The frame error rate is calculated according to the number of physical frames. The statistical time is long and the transient characteristics are poor. The instantaneous quality of the channel cannot be accurately reflected. However, when the frame error rate is greater than a certain target value, the general quality of the physical time slot is reflected. For example, whether it is Frequency selective fading or flat fading, fading bandwidth, etc. The block error rate BLER is calculated according to the TTI of each service. It can basically reflect the instantaneous characteristics of the physical channel, but the granularity is still large. The bit error rate BER is calculated on a per-frame basis. It only reflects whether the physical channel meets the needs of service transmission, and does not reflect whether the current SIR target value is optimal.

Although the 3-ring power control is generally described in Patent Publication No. CN1373940A, only Only the idea of attaching a third ring structure in addition to the outer loop and inner loop power control described in the 3GPP protocol is expressed, and no specific implementation of the loop is made. In actual power control, it is not the ideal value expressed by the closed-loop control of convergence, but comprehensive control that requires loose coupling, trend judgment, adaptive correction and intelligent judgment.

To this end, a suitable method for optimizing the adaptive correction of SIR needs to be proposed. Summary of the invention

In view of this, the technical problem to be solved by the present invention is to optimize the SIR target value method of the wireless link in the CDMA system, so as to improve the quality of the service and the capacity of the system, and make the power control of the terminal device more accurate.

In the present invention, two variable control loops and three voters are mutually discriminated, and the statistic value and the target value are successively determined according to different statistical time periods, and each variable loop cannot individually determine the loop adjustment variable. The modification must be determined by the voting results of other voters to determine the correction of the target value of the loop.

According to an aspect of the present invention, there is provided a method for optimizing an SIR target value of a wireless link according to a plurality of parameters in power control of a CDMA system, wherein the parameters include FER, BLER, BER measurement values, target values, and Target value error, the method includes the steps:

Measuring at least one of the measured values according to a plurality of time periods,

Comparing the measured value with its corresponding target value and obtaining the target value error,

The corresponding target value parameter is adjusted according to the comparison result and the target value of the SIR is optimized.

According to another aspect of the present invention, there is provided an apparatus for optimizing an SIR target value of a wireless link according to a plurality of parameters in power control of a CDMA system, wherein the parameters include FER, BLER, BER measurements, targets Value and target value error, the device includes:

Means for measuring at least one of the measured values according to a plurality of time periods,

Means for comparing the measured value with its corresponding target value and obtaining its target value error, adjusting the corresponding target value parameter according to the comparison result and optimizing the target value of the SIR. According to still another aspect of the present invention, there is provided apparatus for optimizing a SIR target value of a wireless link according to a plurality of parameters in power control of a CDMA system, wherein said parameters include FER, BLER, BER measurements, targets Value and target value error, the device includes:

FER processing unit, used to adjust the FER target value,

BLER processing unit for adjusting the BFER target value,

BER voting unit, used to process BER measurements,

And an SIR optimization unit, configured to optimize the SIR target value according to the processing result of the FER processing unit, the BLER processing unit, and the BER voting unit.

The invention affects the change of the SIR target value by the target weight error parameter of the BER through a small weighting factor, adopts a moderate loose fit mode, and most likely eliminates the influence of the instantaneous interference on the power control. The advantages and features of the present invention will become more apparent from the description of the preferred embodiments of the invention. DRAWINGS

Fig. 1 is a flow chart showing a conventional method for correcting the SI target value by comparing the block error rate. Figure 2 is a diagram showing the relationship between components of an embodiment of the present invention.

3 is a flow chart of optimizing SIR target values in accordance with one embodiment of the present invention.

4 is a flow chart of a method of determining an initial target value of a FER in accordance with an embodiment of the present invention. Figure 5 is a flow diagram of a method of determining a BER constant target value in accordance with one embodiment of the present invention. Figure 6 is a flow diagram of a method of determining an initial SIR target value in accordance with one embodiment of the present invention. 7 is a flow chart of a method of determining a BLER initial target value in accordance with an embodiment of the present invention. Figure 8 is a flow chart showing the method of calculating the FER, BLER and BER statistics, and correcting the FER and BLER target values after an embodiment of the present invention.

FIG. 9 is a flow chart of a method for performing statistics on BLER and BER and correcting BLER target values after counting according to an embodiment of the present invention.

FIG. 10 is a flow chart showing a method for performing statistic on the BER and performing statistic correction on the SIR target value according to an embodiment of the present invention.

Figure 11 is a schematic illustration of dynamic convergence and scrambling of FER target values in one embodiment of the present invention. Figure 12 is a schematic illustration of dynamic convergence and scrambling of BLER target values in one embodiment of the present invention. detailed description

Figure 2 shows a diagram of the relationship between components in accordance with one embodiment of the present invention. As shown in Figure 2, when the timer 1 arrives, it is determined whether the target value of the frame error ratio FER (Frame Error Ratio) reflects the current service quality, and goes through its own voter (FER voter) and the other two voters (BLER and The BER voter vote, and thus the FER is modified. Similarly, when the timer 2 arrives, the block error rate BLER (Block Error Ratio) target value is corrected by the BLER voter and the bit error rate BER voter. Voting, the target value of the bit error rate BER is determined to be a reasonable target to be achieved and is constant throughout the control process. When the timer 3 is reached, the voting of the BER voter is performed, and the target value of the variable FER and BLER is corrected, and the target correction value of the SIR is obtained by the SIR optimization unit mapping.

The present invention decodes the radio frame data by the erroneous data decoding unit 201. It will be understood by those skilled in the art that the erroneous data decoding unit may be any existing erroneous data decoding unit suitable for use in the present invention. The error data decoding unit 201 decodes the error data, and then performs processing of two variable processing units and one constant target value voting unit according to the timers 1, 2, and 3, respectively, and finally performs comprehensive weighting processing through the SIR optimization unit to obtain the SIR. New target value.

In the present invention, two control loops and three-fold voting are combined, and the measurement results of BER, BLER, and FER are analyzed in steps, and the target values of FER and BLER are dynamically corrected. The target values of FER and BLER can reasonably reflect the changes in service quality caused by changes in the environment of the terminal equipment. For the FER control loop plus the voting unit, see the component 202 in FIG. 2 of the specification. The BLER control loop plus the voting unit is shown in the component 203 in FIG. 2 of the specification. The BER unit is shown in the component 204 in FIG. 2 of the specification. .

In the SIR optimization unit 205 of FIG. 2, the present invention indirectly maps the change in the SIR target value and the trend to be changed by the three quality target errors ABLER, ΔFER, and ABER. The importance of the target value error of the ABLER, AFER and ABER in the correction calculation of the SIR target value is reflected by different weighting factors W, and the correction formula of SIR adaptation is given. In order to succinctly describe the present invention, other specific details of the components of the present invention shown in Fig. 2 are omitted herein. Those skilled in the art It will be understood that the details omitted herein are apparent from the following description of specific embodiments of the corresponding method of the invention.

Figure 3 illustrates a flow chart for optimizing SIR target values for one embodiment of the present invention. As shown in FIG. 3, in step 301, the initial target values of BER, BLER, FER, and SIR are first determined, and further details are shown in FIG. 4-7.

4, 5, 6, and 7 are flow diagrams for determining four initial target values in accordance with one embodiment of the present invention. The invention determines four target values corresponding to each service quality by different QoS (Quality of Service) and different transmission format combinations, which are initial target values of FER, BLER, BER and SIR, respectively.

4 is a flow chart for determining an initial target value of a FER in accordance with one embodiment of the present invention. As shown in FIG. 4, the FER initial target value FER _TAR related to the service is corrected by the target value correction factor corresponding to the different service quality QoS, and the FER initial target value is corrected by the different transport channel transmission format combination correction factor βι.

Figure 5 is a flow diagram for determining a BER initial target value in accordance with one embodiment of the present invention. As shown in FIG. 5, the target value correction factor corresponding to the different service quality QoS is used to correct the BER target value R related to the service, and the target value correction factor corresponding to the different transport channel transmission format combination is used to correct the BER target value. In the algorithm of the present invention, for a specific service, the corresponding BER target value is a determined constant and does not change.

Figure 6 is a flow diagram for determining an initial SIR target value in accordance with one embodiment of the present invention. As shown in FIG. 6, for the purpose of achieving the optimal SIR target value, the initial target value of the SIR related to the service is corrected by the target value correction factor corresponding to the different service quality QoS, and the transmission format combination corresponding to the different transport channels is corresponding. The target value correction factor ^ corrects the SIR initial target value.

7 is a flow chart of a method of determining a BLER initial target value in accordance with one embodiment of the present invention. As shown in FIG. 7, the BLER initial target value BL _TAR related to the service is corrected by the target value correction factor corresponding to the different service quality QoS, and the BLER initial is corrected by the target value correction factor i corresponding to the different transport channel transmission format combinations. Target value.

After the above processing, the initial target value of SIR, FER, BLER and the BER are obtained. The target value.

In the present invention, the statistical time of the selected FER is an integral multiple of the statistical time of the BLER, and the statistical time of the BLER is an integer multiple of the statistical time of the BER to avoid the correction of the BLER target value error repeatedly recorded in the SIR target value. The fact that the FER statistics time has not expired only involves further details of the BLER and BER as described below in connection with Figures 8, 9, and 10.

8 is a flow chart of a method for performing statistics on FER, BLER, and BER, and correcting FER and BLER target values after counting according to an embodiment of the present invention. As shown in FIG. 8, in order to correctly determine whether the SIR target value is corrected, the FER and BLER target values are corrected in eight cases (the corresponding FER, BLER, and BER are respectively greater or smaller than the target value combinations), and finally mapped to Unfixed step size adaptive correction of SIR target value sm. Make the target value of SIR more closely reflect the needs of the current terminal for business. Here, the BER target value error is defined equal to the BER measurement minus its constant target value, ^BER _TAR = BER flat _s - BER _TAR .

a) After determining the initial target value of the BER, BLER, FER and the target value of the SIR constant, the measurement of BER, BLER and FER (not shown), which can be understood by those skilled in the art, can be used here. A measurement method suitable for any of the prior art of the present invention. The measurement time period (first period) of obtaining the best measurement value of FER is T1, generally about 240ms, and the measurement time period (second period) of obtaining the best measurement value of BLER is about 80ms, and the best measurement of BER is obtained. The measurement time period (third period) of the value is 20 or 40 ms. Let the measurement time period of FER be an integral multiple of the measurement time period of BLER and BER, and the measurement time period of BLER is an integral multiple of the measurement time period of BER. When each time interval arrives, the FER, BLER or BER are compared and compared, for example: FER, BLER and BER are measured when the time of 240 ms arrives, BLER and BER are measured when the time is 80 ms, and arrive at 40 ms. Only the BER is measured, and only the BLER and BER are measured when the 320 ms duration arrives. In step 801, it is determined whether the FER statistical time has arrived;

b) In step 802, the measured value FER of the FER is obtained and compared with the target value FER _TAR of the FER;

c) In step 803, the measured value of the FER is not greater than (less than or equal to) the target value of the FER When FER _TAR , compare the target value of the BLER ^E ? and the measured value ^;

d) in step 804, when the measured value of the BLER is not greater than (less than or equal to) the target value BL£Ji _{T of the} BLER, the target value and the measured value of the BER are compared;

e) In step 805, when the measured value of BER ^^3⁄4^4S is less than or equal to (not greater than) the target value, it indicates that the target value setting of the FER is suitable, in order to allow the network to access more terminals, reduce power resources. Occupation, a small amount of scrambling correction should be performed on the current target value of the FER. Let the current target value be FEH _TAR , the corrected target value is FER _TAR , the measured value is FEU leg _s , let FER _{TAR l} = ( 1 + 3⁄4 ) FER _TAR , A FER _TAR = FER _TAR - FER _{TAR l} , and finally Let FER = FER _{TAR l} to reset the current target value of FER. It also shows that the BLER _{TAR is} too small and the target value of the BLER must be corrected. Let the current target value be BLER _TAR , the corrected target value be BLEH _T , the measured value is BLER _s , let BLER TAR \ ⁼ ( 1 + X2 ) ^x BLER _TAR , Δ BLER _TAR ― BLER _TAR ― BLER _TAR ι, Finally, let BLER _TAR = BLER _TAR j , and then reset the current target value of BLER. X is the adjustment correction coefficient, the correction value of X is between 0.02-0.05, and the correction value of X ₂ is between 0.08-0.16, depending on the simulation;

f) At step 806, the measured value at BER is not less than or equal to (greater than) the target value of BER

In BER _TAR , it means that there is a concentrated error in only one block, and the quality impact on the whole service is not too great. It needs only a small step size to increase the target value of SIR, and the target value of FER is set too large. The target value is corrected. Let the current target value be FEK _TAR , the corrected target value be F ^ER TAR\ , and the measured value be FER TAR 1 ⁼ ( 1 " X3 ) ^{X FER} TAR , Δ FER _TAR

= FER _TAR - FER _TAR , and finally let FER _TAR = FER _TAR ^, thereby resetting the current target value of FER. It also shows that it is too large, and the target value of BLER must be corrected. Provided its current target value BLER _TAR, the corrected target value _BLEH TARl, BLER measurement value vine _{_{s, ^ BLER TAR l = (}} 1 -) BLER TAR, A BLER TAR = BLER TAR - BLER TAR i, and finally Let BLER _TAR = BLER _TAR 1 to reset the current target value of BLER. X is the adjustment correction factor, X _{3 is} generally between 0.04-0.08, between 0.06-0.12, depending on the simulation;

g) when the measured value of the BLER is greater than (not less than or equal to) the target value of the BLER, in step 807, the constant target value and the measured value of the BER are compared; h) When it is determined in step 807 that the measured value of the BER is less than or equal to (not greater than) the target value, it indicates that the current target value FER _{TAR of the} FER is set appropriately, and the target value of the FER is not corrected, and the process proceeds to step 812. At step 812, the BLER target value ^E ?? ^ is corrected, and the corrected target value is ^BLER TARl , and the measured value is BLER s s , let BLER _{TAR l} = ( 1 + X ₅ ) x BLER _TAR , Δ BLER _TAR = BLER _TAR - BLER _{TAR 1} , and finally let = BLER _TAR to reset the current target value of BLER. X ₅ is the adjustment correction coefficient, and the value of X ₅ is generally between 0.06-0.10, depending on the simulation;

i) When it is determined in step 807 that the measured value of the BER is not less than or equal to (greater than) its constant target value, the setting of the description is too large and should be corrected, and the process proceeds to step 813. In step 813, let shun ₁ = ( 1 - Χ ₆ ) X FER _TAR , A FER _TAR = FER _TAR - FER _{TAR l} , and finally let _TAR = ship, thereby resetting the current target value of FER. Where X ₆ is the adjustment correction coefficient, and the value of X ₆ is generally between 0.04 and 0.08, depending on the simulation;

j) Returning to step 802, when it is determined in step 802 that the measured value of the FER is not less than or equal to (greater than) the target value of the FER, then step 808 is entered. In step 808, the target value BLER _TAR and the measured value A^RM of the BLER are compared;

k) When it is determined in step 808 that the measured value of the BLER ^M S is greater than (not less than or equal to) the target value ^ of the BLER, then the flow proceeds to step 811. In step 811, the constant target value and the measured value of the BER are compared;

1) When it is determined in step 811 that the measured value of BER is not less than or equal to (greater than) its constant target value, it indicates that the setting of 顺_TM and ^E ? may be too large, fine adjustment is required, and it is also possible that the parameters at this time are more suitable. (Convergence), but the transmission quality of the physical channel is deteriorated. The target value of the parameter is not modified, but the adaptive correction amount of the SIR target value cannot be obtained. The convergence value needs to be scrambled, and the process proceeds to step 814. In step 814, EE T TAR, BLER _{TAR are} lowered. FER _TAR j = ( 1 - X ₇ ) x FER _TAR , Δ FER _TAR = FER _TAR - FER _{TAR l} , let FER _TAR = FER _TAR , , thereby resetting the target value of the FER. Let BL _TA] = ( 1 - X ₈ ) x BLER , A BLER _TAR = BLER _TAR - BLER _{TAR l} , and finally let BLER _TAR = BLER _{TAR l} , thus reset the target value of BLER, where X is the adjustment correction factor, X The value of ₇ is generally between 0.04-0.08, and the value of X ₈ is between 0.06-0.10, depending on the simulation; m) When it is determined in step 811 that the measured value of the BER is less than or equal to (not greater than) its constant target value, it indicates that the setting of the _{MN TAJ} and the BLER _TAR may be too small, and the FER _TAR and the BLER _{TAR must} be corrected. Go to step 815. In step 815, FER _{TAR 1} = ( 1 + X ₉ ) X FER, A FER _TAR = FER _TAR - FER _{TAR l} , let FER _TAR = FER _{TAR l} , thereby resetting the target value of FER. Let BLER _{TAR l} = ( 1 + X ₁₀ ) x BLER _TAR , Δ BLER TAR - BLER _TAR - BLER _TAR ! Finally, let BLER _TAR = BLER _{TAR l} , and then reset the target value of BLER, where X is the adjustment correction coefficient, the value of X ₉ is between 0.05-0.09, and the value of Xio is between 0.08-0.16, according to the simulation. Decide;

n) Returning to step 808, when it is determined that the measured value of the BLER is not greater than (less than or equal to) the target value of the BLER ^^, the process proceeds to step 809. In step 809, the constant target value and the measured value of the BER are compared;

0) When it is determined in step 809 that the measured value of the BER is less than or equal to (not greater than) its constant target value, it indicates that the current target value of the FER is set too small, and the FER target value needs to be corrected, and the process proceeds to step 816. In step 816, the target value is corrected, and the corrected target value is FER _TAR J , let FER _TAR ! = ( 1 + Xll ) X layer, A FER _TAR = FER _TAR - FER _{TAR l} , finally let FER _TAR = FER _TAJU , thus reset the target value of FER. Where X _n is the adjustment correction factor, and the value of X _n is generally between 0.02 and 0.08, depending on the simulation;

p) When it is determined in step 809 that the measured value of the BER is not less than or equal to (greater than) its constant target value, it indicates that the setting of β _TAR is too large and should be corrected, and the process proceeds to step 810. In step 810, let BLER _{TAR 1} = ( 1 - X ₁₂ ) BLER _TAR , A BLER TAR - BLER _TAR - BLER _TAR , and finally let BLER _TAR = BLER _{TAR x} , thereby resetting the target value of BLER. Where X ₁₂ is the adjustment correction factor, and the value of ₁₂ is generally between 0.08 and 0.16, depending on the simulation;

Figure 9 is a flow chart showing the method of calculating the BLER and BER statistics and correcting the target value of the BLER according to an embodiment of the present invention.

When the measurement period (second period) of the BLER is reached and the measurement period of the FER has not been reached, the measurement of BLER and BER (not shown) is performed, and those skilled in the art can understand that it can be used here. A measurement method in any of the prior art of the present invention. The statistical results are judged in four cases (the corresponding BLER and BER are greater or less than the target respectively) The combination of values is performed to correct the BLE target value, and the corrected target value error is mapped to the calculation formula of the target value of the SIR. Let the BER target value error be equal to the BER measurement minus its target value,

ABER _TAR = BER _MEAS - BER _TAR .

Go back to Figure 9:

1) In step 901, when the BLER statistical period expires, the BLER statistics are performed (not shown);

2) In step 902, it is determined whether the measured value of the BLER is greater than (not less than or equal to) the target value of the BLER;

3) When it is determined in step 902 that the measured value of the BLER is not greater than (less than or equal to) the target value of the BLER, then the target value and the measured value of the BER are compared in step 903;

4) When it is determined in step 903 that the measured value of the BER is less than or equal to (not greater than) its target value, it indicates that the setting of the BLER _TAR is suitable (convergence), in order to increase the access capability of the network and reduce the occupation of power resources, The scrambling ^ ί '爹 is positive, and the process proceeds to step 904. In step 904, let

BLER _TAR ! = ( 1 + Yi ) ^χ BLER _TAR , Δ BLER _TAR = BLER _TAR ― BLER _TAR ι , let

BLER _TAR = BLER , which resets the target value of BLER. In order to adjust the correction coefficient, the value is generally between 0.06-0.12, depending on the simulation;

5) When it is judged in step 903 that the measured value of the BER is not less than or equal to (greater than) the target value, the description ^ ^? The setting is too large and should be corrected. At this point, go to step 905. In step 905, let BLER _{TAR 1} = ( 1 - Y ₂ ) x BLER _TAR , A BLER TAR ⁼ BLER _TAR ― BLER _TAR i , i BLER _TAR = BLER _{TAR l} , thereby resetting the target value of the BLER. Where Y ₂ is the adjustment correction coefficient, and the value of Υ ₂ is generally between 0.08 and 0.16, depending on the simulation;

6) Returning to step 902, when it is determined in step 902 that the measured value of the BLER is greater than (not less than or equal to) the target value of the BLER, then step 906 is entered. In step 906, the target value and the measured value of the BER are compared;

7) When it is judged in step 906 that the measured value of the BER is not less than or equal to (greater than) its target value, it is indicated that ^^ may be set to be appropriate (convergence), in order to check whether the BER is caused by an accidental cause or the channel environment Deterioration, should be corrected for BLER, then enter the step

907. In step 907, let BLER _{TAR 1} = ( 1 - Y ₃ ) X BLER _TAR , BLER TAR ⁼ BLER _TAR - BLER _TARl , let R _TAR = BLER _TARl , thus resetting the target value of BLER. Where Y ₃ is the adjustment correction coefficient, and the value of Υ ₃ is generally between 0.05 and 0.13, depending on the simulation;

8) When it is judged in step 906 that the measured value of the BER is less than or equal to (not greater than) the target value, the description ^ ^? The setting is too small and should be corrected. Go to step 908. In the steps

In 908, let BLER _TARl = ( 1 + Y ₄ ) X BLER _TAR , Δ BLER _TAR = BLER _TAR - BLER _TAR1 , j BLER _TAR = BLER _TARl , thereby resetting the target value of BLER. Where Y ₄ is the adjustment correction coefficient, and the value of Υ ₄ is generally between 0.08 and 0.16, depending on the simulation;

FIG. 10 is a flow chart of a method for performing statistic on BER and performing correction of SIR target value after counting according to an embodiment of the present invention. When the statistical period of the BER is reached and the statistical period of the BLER and FER is not reached, the SIR target value is corrected, and the SIR target value is adaptively corrected in two cases, as shown in FIG. The BER target value error is equal to the BER measurement value minus the current target value, and the error rate change amount Δ ^ Γ ^ = BER _MEAS - BER _{TAR is set} .

In step 1001, the BER statistics time is reached, and the current target value of the BER is compared with the measured value.

At step 1002, it is determined whether the BER measurement is greater than (not less than or equal to) the BER target value. If it is determined in step 1002 that the BER measurement value is not greater than (less than or equal to) the BER target value, then step 1003 is entered. In step 1003, the SIR target value is adaptively corrected according to the FER target value error and the BLER target value error obtained in the above steps. The correction formula (1) is as follows:

SIR = (1 + ^ X AFER _TAR + W ₂ x ABLER _TAR + W ₃ x ABER _TAR ) x SIR _TAR Let SIR _TAR = SIR _TARI , thus updating the SIR target value, where W is the weighting factor and W1 is at 1.1 Between -1.6, W2 is between 1.5-2, and W3 is between 1.1 and 1.4, depending on the simulation.

If it is determined in step 1002 that the BER statistics value is greater than (not less than or equal to) the constant target value of the BER, then step 1004 is entered. In step 1004, the SIR current target value is adaptively corrected according to the FER target value error and the BLER target value error obtained in the above steps. Correct the formula ( 2 ) ^ Under the mouth: + AFER _TAR + W ₂ x ABLER _TAR + W ₃ x ABER _TAR )

υ ~ ■ X ΙΚψΛ Ώ

(1- W _l x AFER _TAR - W ₂ x ABLER _TAR - W ₃ ABER _TAR ) Let SIR _TAR = SIR _T ship, thereby updating the target value of SIR, where W is the weighting factor and W1 is in the range of 1.1-1.6 In the meantime, the value of W2 is between 1.5 and 2. The value of W3 is between 1.1 and 1.4, depending on the simulation.

The present invention passes the control loops of two variable parameters FER and BLER target values, but the control process may converge, and the converged variable values do not reflect the trend of environmental changes. By analyzing the possibilities, the concept of scrambling points is introduced. The details are as shown in the following with reference to Figs.

Figure 11 is a diagram showing the dynamic convergence and scrambling of FER target values in accordance with one embodiment of the present invention. As shown in Fig. 11, as time increases, the FER converges to the dynamic target value, which is only dynamic balance, and the balance needs to be broken by correcting the scrambling. The scrambling is achieved by a modification. Specifically, the scrambling is achieved by up-regulating the FER target value by the correction coefficient at step 805 in Fig. 8. The scrambling point in Fig. 11 shows a position where scrambling is performed.

Figure 12 is a schematic illustration of dynamic convergence and scrambling of BLER target values in accordance with one embodiment of the present invention. As shown in Figure 12, as time increases, the BLER converges to the dynamic target value, which is only dynamic balance, which requires scrambling to break the balance. The scrambling is achieved by a modification, specifically, by up-regulating the BLER target value by the correction coefficient X ₂ in step 805 of FIG. 8 and up-regulating the BLER target value by the correction coefficient in step 904 of FIG. The scrambling point in Figure 12 shows a location for scrambling.

It can be seen from the above description that the calculation of SIR is not complicated, but the timeliness and physical characteristics embodied by different parameters are considered. Any closed-loop control will converge, but the convergence time cannot be judged. The means we take here is a three-vote vote, which eliminates the occasional short-term BER target value change and causes large fluctuations in the SIR target value, which is highly practical. After convergence, in order to achieve better accuracy, the convergence value is scrambled to achieve control accuracy in dynamics.

The present invention can also obtain the target value correction of the SIR by modifying other statistical methods such as the cumulative error of FER, BLER and BER.

Those skilled in the art will appreciate that without departing from the spirit and scope of the present invention Various modifications and variations of the present invention are possible. Such modifications and variations are also intended to be included within the scope of the appended claims.

Claims

Claim

A method for optimizing a SIR target value of a wireless link according to a plurality of parameters in power control of a CDMA system, wherein the parameter includes a measured value of a FER, a BLER, a BER, a target value, and a target value error, the method comprising Steps:

2. The method of claim 1, wherein the plurality of time periods comprises a first time period, a second time period, and a third time period.

The method according to claim 2, wherein, according to the first time period, the measured parameter is a measured value of FER, BER, BLER, and the adjusted parameter is a target value of FER and BLER.

The method according to claim 2, wherein, according to the second time period, the measured parameter is a measured value of BER, BLER, and the adjusted parameter is a target value of BLER.

5. The method of claim 2, wherein the measured parameter is a measured value of BER according to a third time period.

The method of any one of claims 3-5, wherein the step of optimizing the SIR target value based on the result of the comparison comprises:

When the measured value of BER is not greater than its target value, according to the formula

SIR _{TAR l} = (l + W ₁ x AFER _TAR + W ₂ x ABLER _TAR + W ₃ x ABER _TAR ) x SIR _TAR updates the SIR target value;

When the measured value of BER is greater than its target value, according to the formula

― (l + ^i X leg _TAR + W ₂ X ABLER _TAR + W ₃ x ABER _TAR )

Ι ^{ΛΚ 1} (1— W _x χ FER _TAR ~ W ₂ x ABLER _TAR - W ₃ x ABER _TAR ) ^1AK Update the target value of the SIR,

Where W is the weighting factor, AFER _TAR , AFER _TAR , and A5ER are the target value errors obtained for the corresponding comparison.

7. The method of claim 6, wherein the first time period is an integer multiple of the second time period and the second time period is an integer multiple of the third time period.

8. The method according to claim 7, wherein the first time period is 240 ms, the second time period is 80 ms, and the third time period is 40 ms or 20 ms.

9. The method of claim 1, wherein the SIR target value is scrambled when it converges.

10. The method according to claim 1, wherein the initial values of the FER target value, the BLER target value, the BER target value, and the SIR target value are determined according to a service quality correction factor and a transport format combination correction factor.

11. An apparatus for optimizing a SIR target value of a wireless link according to a plurality of parameters in power control of a CDMA system, wherein said parameter comprises a measured value of FER, BLER, BER, a target value, and a target value error, the device Includes:

Means for comparing the measured value with its corresponding target value and obtaining its index error, adjusting the corresponding target value parameter based on the comparison result and optimizing the target value of the SIR.

12. The apparatus of claim 11, wherein the plurality of time periods comprises a first time period, a second time period, and a third time period.

The device according to claim 12, wherein, according to the first time period, the measured parameter is a measured value of FER, BER, BLER, and the adjusted parameter is a target value of FER and BLER.

14. The apparatus according to claim 12, wherein, according to the second time period, the measured parameter is a measured value of BER, BLER, and the adjusted parameter is a target value of BLER.

15. The apparatus of claim 12, wherein the measured parameter is a target value of BER according to a third time period.

The apparatus according to any one of claims 13 to 15, wherein the comparison according to The result of adjusting the parameter and optimizing the SIR target value when the measured value of the BER is not greater than its target value, according to the formula

SIR _{TAR 1} = (1 + ^ X AFER _TAR + W ₂ x ABLER _TAR + W ₃ x ABER _TAR ) x SIR _TAR updates the SIR target value;

_SIR ― (l + ^i X ^ FER _TAR + W ₂ X draw R _TAR + W x ABER _TAR ) , , "

Li (1 - W _l x AFER _TAR ~ W ₂ ABLER _TAR - W ₃ ABER _TAR ) Constitutional update SIR target value,

Where W is the weighting factor, AFER _TAR , AFER _TAR , and ABER _TAR are the target value errors obtained for the corresponding comparison.

17. An apparatus for optimizing a SIR target value of a wireless link according to a plurality of parameters in power control of a CDMA system, wherein said parameter comprises a measured value of FER, BLER, BER, a target value, and a target value error, the device Includes:

FER processing unit, used to adjust the FER target value,

BLER processing unit for adjusting the BFER target value,

BER voting unit, used to process BER measurements,

18. Apparatus according to claim 17, further comprising a measuring unit for measuring at least one of the measured values of FER, BLER, BER according to a plurality of time periods.

19. The apparatus of claim 18, further comprising:

According to the result of the measurement, the FER processing unit, the BLER processing unit, and the BER table unit periodically perform the processing, and the SIR optimization unit periodically performs the optimization.

20. The apparatus of claim 18 or 19, wherein the plurality of time periods comprises a first time period, a second time period, and a third time period.

21. The apparatus according to claim 20, wherein the measuring unit measures the measured values of FER, BER, BLER according to a first time period, The FER processing unit determines a target value error of the FER and adjusts the FER target value, and

The BLER processing unit determines a target value error of the BLER and adjusts a BLER target value,

The BER processing unit determines a target value error for the BER.

22. The apparatus according to claim 20, wherein, according to the second time period,

The measuring unit measures the measured value of the BER, BLER, and

The BLER processing unit determines a target value error of the BLER and adjusts a BLER target value, and the BER processing unit determines a target value error of the BER.

23. The apparatus according to claim 20, wherein, according to the third time period,

The measuring unit measures the target value of the BER, and

The BER processing unit determines a target value error of the BER.

The apparatus according to any one of claims 21 to 23, wherein the optimization unit according to the formula when the measured value of the BER is not greater than the target value thereof

SIR _{TAR 1} = {l + W _x AFER _TAR + W ₂ ABLER _TAR + W x ABER _TAR ) x SIR _TAR updates the SIR target value;

(1 + ^ x AFER _TAR + W ₂ x ABLER window + W ₃ x wrapped R _TAR ) ' ,

i (1—W _x x AFER _TAR - W ₂ x ABLER _TAR - W ₃ x ABER _TAR ) Update the target value of the SIR,

Where W is the weighting factor, AFER, FER _TAR , and ABER _TAR are the target value errors obtained for the corresponding comparison.

25. The apparatus of claim 20, wherein the first time period is an integer multiple of the second time period and the second time period is an integer multiple of the third time period.

26. The apparatus of claim 17 further comprising a timer unit for providing timing.

27. Apparatus according to claim 17 or 19, further comprising an erroneous data decoding unit for decoding the erroneous data.