CN101932001B - Adaptive modulation coding method - Google Patents
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- CN101932001B CN101932001B CN 200910150727 CN200910150727A CN101932001B CN 101932001 B CN101932001 B CN 101932001B CN 200910150727 CN200910150727 CN 200910150727 CN 200910150727 A CN200910150727 A CN 200910150727A CN 101932001 B CN101932001 B CN 101932001B
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Abstract
The invention relates to an adaptive modulation coding method, comprising the following steps: a network side carries out statistics on parameter value of received identification channel conditions, obtains difference of the parameter value, carries out computing on the statistical result of the difference obtained in a period of time, obtains the parameter value of the average identification channel condition and obtains the number of the parameter values of the average identification channel condition according to statistics; the network side judges if the number of the parameter values obtained according to statistics reaches the initial value for processing an ascending statistical window, then the parameter value of the average identification channel condition is compared one by one with the threshold value of the modulation coding mode one order higher than the current modulation coding mode; if the number of the parameter values of the average identification channel condition of the threshold value of the modulation coding mode one order higher reaches the preset first limiting value according to the statistics and judgment, then the modulation coding mode is adjusted one order higher. By the method of the invention, the problem of excessively frequent or excessively slow adaptive modulation caused by unstable change of adaptive modulation reference quantity is solved.
Description
Technical field
The present invention relates to field of wireless communication, relate in particular to a kind of adaptive modulation coding method.
Background technology
Wireless channel is a kind of the change when having and the channel of fading characteristic, must make the systematic function instability if adopt the transmission parameter of fixing to carry out transfer of data.For the performance of systems stabilisation to greatest extent, only make the transmission parameter become an amount that changes along with channel parameter.The processing procedure that this variation along with channel changes the transmission parameter is called link circuit self-adapting, and power control and Adaptive Modulation and Coding (AMC, Adaptive Modulation and Coding) technology all belong to link adaptation techniques.
The Adaptive Modulation and Coding technology is used widely in B3G and 4G technology, and is decided to be one of key technology that improves systematic function.The basic principle of Adaptive Modulation and Coding technology is exactly in the scope of system constraint, according to the situation of change of channel quality, and modulation and coded system that adaptive adjustment transfer of data adopts.In the system that adopts the AMC technology, the user who sits pretty can be endowed higher modulation and coded system, and is in the user of unfavorable position, can be endowed lower modulation and coded system.At present, encoding scheme commonly used is convolutional encoding and Turbo convolution code, and modulation system commonly used is QPSK (Quadrature Phase Shift Keying modulation), QAM16 (16 rank quadrature amplitude modulation) and QAM64 (64 rank quadrature amplitude modulation).
In the realization of existing AMC technology, the emphasis of paying close attention to is usually all on the switching point of various modulation coding modes, and algorithm commonly used is divided into two big classes, the one, the switching point of modulation coding mode is adjusted in conduct according to the CINR that is used for identification channel condition (carrying dried noise power ratio) value, this mode all is made as fixing value with switching point, can't adapt to different communication environments; The 2nd, at the shortcoming of first kind method, with AMC technology and HARQ (Hybrid Automatic Repeat Request, mix automatic request retransmission) mode that combines of technology, adjust the value of switching point dynamically by the ACK/NACK message of terminal feedback in the HARQ technology.
For above two kinds of algorithms commonly used, it all only is the processing at switching point, and do not consider within the scope of switching point, therefore the influence that the sudden variation of channel condition brings for the self adaptation adjustment of modulation coding mode needs a kind of technical scheme of Adaptive Modulation and Coding to solve self adaptation and adjusts reference quantity and change unstable and cause self adaptation adjustment problem too frequently or too slowly.
Summary of the invention
Technical problem to be solved by this invention provides a kind of adaptive modulation coding method, solves self adaptation and adjusts reference quantity and change unstable and cause self adaptation adjustment problem too frequently or too slowly.
In order to address the above problem, the invention provides a kind of adaptive modulation coding method, comprising:
The parameter value of the identification channel condition that the network side statistics is received, obtain the difference of the parameter value of former and later two identification channel condition, according to the statistics of the described difference that obtains in the time period parameter value of the identification channel condition received is carried out computing, obtain the parameter value of average identification channel condition, and add up the number of the parameter value of the average identification channel condition that obtains;
Described network side is judged if the described number that statistics obtains reaches the initial value of handling the rising statistical window, then the parameter value of the described average identification channel condition that will obtain compares with the threshold value of the modulation coding mode of current modulation coding mode higher order one by one, statistics is also judged if be higher than the first boundary value that the number of parameter value of average identification channel condition of threshold value of the modulation coding mode of higher order reaches setting, then modulation coding mode is adjusted to higher order.
Compared with prior art, use the present invention, solved self adaptation and adjusted reference quantity and change unstable and cause self adaptation adjustment problem too frequently or too slowly.
Description of drawings
Fig. 1 is the flow chart of a kind of adaptive modulation coding method of the present invention;
Fig. 2 is the schematic diagram that concerns between 4 statistical windows that the present invention relates to;
Fig. 3 is the schematic diagram of CINR value fluctuation statistical window computational methods;
Fig. 4 is the schematic diagram of the average CINR value of storage.
Embodiment
Specify the specific embodiment of the present invention below in conjunction with accompanying drawing.
Main design of the present invention is: network side is added up the parameter value of the identification channel condition that receives, and obtains the difference of the parameter value of former and later two identification channel condition;
According to the statistics of the described difference that obtains in the time period parameter value of the identification channel condition that receives is carried out computing, obtain the parameter value of average identification channel condition, and the number of the parameter value of the average identification channel condition that obtains of statistics;
Judge if the number of the parameter value of the average identification channel condition that receives has reached the initial value of handling the rising statistical window, then the parameter value of the described average identification channel condition that will obtain compares with the threshold value of the modulation coding mode of current modulation coding mode higher order one by one, statistics is higher than the number of parameter value of average identification channel condition of threshold value of the modulation coding mode of higher order, judge if the number of statistics has reached the first boundary value of setting, then modulation coding mode is adjusted to higher order;
Judge if the number of the parameter value of the described average identification channel condition that statistics obtains does not reach the initial value of handling the rising statistical window, then the threshold value of the modulation coding mode on the parameter value of each average identification channel condition that will obtain and current rank compares, statistics is lower than the number of parameter value of average identification channel condition of threshold value of the modulation coding mode on current rank, judge if the described number of statistics reaches second boundary value of setting, then modulation coding mode is adjusted to low single order.
The parameter of wherein said identification channel condition can be for carrying the parameter of dried noise power ratio.
As shown in Figure 1, a kind of adaptive modulation coding method of the present invention, the main flow process that adopts statistics may further comprise the steps:
The initial value of step 100, default α (wherein 0＜α＜1) is 1/2, and sets CINR value fluctuation statistical window, CINR value memory window, sets the initial value of handling the rising statistical window and the initial value of handling the decline statistical window simultaneously;
Fig. 2 is the schematic diagram that concerns between 4 statistical windows that the present invention relates to, and the size of 4 windows is predefined.
CINR value fluctuation statistical window: the fluctuation situation that is used for statistics CINR value.The instantaneous CINR value that receives is put into this window successively.If the CINR value that receives for the first time then all is filled to the value in this window the CINR value that receives for the first time.For the CINR value that receives the non-first time, then adopt the mode of pop down to deposit one by one from left to right, be about in this window rightmost CINR value and shift out this window and abandon, the up-to-date CINR value that receives is put into the Far Left of this window.This window is actual memory window, namely independently takies certain memory headroom.
Average CINR value memory window: be used for the average CINR value of calculating is stored.This window and the same memory window that is reality of CINR fluctuation statistical window independently take certain memory headroom.
Handle the rising statistical window: carrying out the statistical window that modulation coding mode is used when higher order is adjusted.This window is virtual window, and not independent committed memory space only is as the value in this window with the up-to-date CINR value that receives in the average CINR value memory window.Therefore the size of this window is less than the size that equals average CINR value memory window.
Handle the decline statistical window: carrying out the statistical window that modulation coding mode is used when low single order is adjusted.This window is the same with processing rising statistical window, is virtual window, independent committed memory space.The CINR value of storage is the up-to-date CINR value that receives in the average CINR value memory window in the window.Therefore the size of this window is less than the size that equals average CINR value memory window.
Generally speaking, handle the initial value of the statistical window that rises greater than the initial value of handling the statistical window that descends.
As shown in Figure 3, system whenever receives a new CINR value, by the mode of level cross the CINR value is added up, and namely calculates the difference of former and later two CINR values that receive, and the number situation of adding up positive difference and negative difference respectively.
Wherein, difference is got to the CINR value and the preceding CINR value that once receives that newly receive each time by system.If difference is greater than zero, then counter 1 adds 1; If difference is less than zero, then counter 2 adds 1; If difference is zero, then do not process.
Wherein, system judges if the statistics that obtains is the number of positive difference and negative difference suitable, judges that then the fluctuation of CINR value in this time period is more serious, reduces the value of α at this moment with the step value of setting; System is judged if the statistics that obtains is that positive difference is mutually far short of what is expected with the number of negative difference, judges that then the CINR value changes steadily in this time period, increases the value of α this moment with the step value of setting;
Described operation method is:
CINR
Avg=(1-α) * CINR
Last+ α * CINR
New, 0＜α＜1 wherein
The CINR value of utilizing the α factor to control newly to receive is to the influence of reference CINR value (that is: average CINR value).
The average CINR value that step 140, system will calculate is stored in the CINR memory window one by one, for the average CINR value that receives for the first time, with this average CINR value whole C INR memory window is filled up, the CINR value that obtains afterwards deposits in the mode that is similar to pop down;
Fig. 4 is the schematic diagram of the average CINR value of storage.If receive average CINR value for the first time, then with the average CINR value of all filling out in the whole memory window to receiving for the first time; If for the second time receive average CINR value, then at first the average CINR value in the whole window is moved right, a rightmost average CINR value grand window is abandoned, the average CINR value that newly receives is put into the Far Left of window, the rest may be inferred.
System will be designated the CINR value that receives for the first time and be set to " true ", refer to think to receive for the first time for the CINR value that receives next time, so flow process be restarted.
The threshold value of the modulation coding mode on each average CINR value that step 170, system will receive and current rank compares, statistics is lower than the number of average CINR value of threshold value of the modulation coding mode on current rank in the statistical window that handle to descend, judge if the number of statistics reaches certain predefined second boundary value, then system adjusts modulation coding mode to low single order, and this flow process finishes.
The invention will be further described below in conjunction with instantiation.
In this example, the initial value of at first setting α is 1/2, and adjusting step-length is that 1/8, CINR value fluctuation statistical window size is N
1, average CINR statistical window size is N
Avg, handling rising statistical window size is N
Up, handling decline statistical window size is N
DownThe switching point of handling when rising is n
Up, the switching point of handling when descending is n
DownSet for two boundary values that carry out CINR fluctuation situation statistics and be respectively n
1And n
2, corresponding to step 110 and step 120, if the difference of the number of positive difference and negative difference is less than n
1, think that then the number of positive difference and negative difference is suitable, if the difference of the number of positive difference and negative difference is greater than n
2, think that then the number of positive difference and negative difference differs bigger.
The CINR value of storing in step 500, the CINR value fluctuation statistical window is added up.
Deduct the CINR value that receives before, i.e. CINR with the CINR value that newly receives
I+1-CINR
i, wherein, i=0,1 ..., N
1-1.When difference greater than 0 the time, counter adds one, when difference less than 0 the time, counter 2 adds one.
Step 510, the counter that calculates 1 and the value of counter 2 are judged.
Judge the difference of counter 1 and counter 2, if difference is less than n
1, think that then the number of positive difference and negative difference is suitable, i.e. the fluctuation of CINR value is serious, then α is carried out from reducing, i.e. α=α-1/8; If difference is greater than n
2, think that then the number of positive difference and negative difference differs bigger, i.e. the fluctuation of CINR value is relatively stable, then α is carried out from add operation, i.e. α=α+1/8.
α value after step 520, utilization are adjusted is carried out the computing that is averaged of CINR.
Utilize formula:
CINR
Avg=(1-α) * CINR
Last+ α * CINR
New, 0＜α＜1 wherein
The instantaneous CINR that receives is averaged computing.And the average CINR that will calculate puts into the statistical window of average CINR value one by one.
Step 530, processing modulation coding mode are to the high-order adjustment.
When the number of the CINR that receives equals N
UpThe time, the threshold value that will handle CINR value and the modulation coding mode of higher order in the statistical window that rises one by one compares, if CINR value is greater than threshold value, then counter 3 adds one, as if being not more than, then not doing the rising processing.After statistics finishes, judge that whether the value of counter is greater than n
Up, if greater than, then modulation coding mode is adjusted to higher order, then not doing rises handles if be not more than.
Step 540, processing modulation coding mode are to the low order adjustment.
The average CINR that receives is compared with the threshold ones of current contrast coded system processed one by one, if less than, then counter 4 adds one, does not process if be not less than then.Use value and the n of counter 4 afterwards
DownCompare, if the value of counter 4 is greater than n
Down, then modulation coding mode is adjusted to low single order, then do not carry out any processing if be not more than.
The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with the people of this technology in the disclosed technical scope of the present invention; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.
Claims (10)
1. an adaptive modulation coding method is characterized in that, comprising:
The parameter value of the identification channel condition that the network side statistics is received, obtain the difference of the parameter value of former and later two identification channel condition, according to the statistics of the described difference that obtains in the time period parameter value of the identification channel condition received is carried out computing, obtain the parameter value of average identification channel condition, and add up the number of the parameter value of the average identification channel condition that obtains;
Described network side is judged if the described number that statistics obtains reaches the initial value of handling the rising statistical window, then the parameter value of the described average identification channel condition that will obtain compares with the threshold value of the modulation coding mode of current modulation coding mode higher order one by one, statistics is also judged if be higher than the first boundary value that the number of parameter value of average identification channel condition of threshold value of the modulation coding mode of higher order reaches setting, then modulation coding mode is adjusted to higher order.
2. adaptive modulation coding method as claimed in claim 1 is characterized in that,
Described network side is judged if the number of the parameter value of the described average identification channel condition that statistics obtains does not reach the initial value of handling the rising statistical window, then may further comprise the steps,
The threshold value of the parameter value of each average identification channel condition that described network side will obtain and the modulation coding mode on current rank compares, statistics is lower than the number of parameter value of average identification channel condition of threshold value of the modulation coding mode on current rank, judge if the described number of statistics reaches second boundary value of setting, then modulation coding mode is adjusted to low single order.
3. adaptive modulation coding method as claimed in claim 1 is characterized in that,
Described network side is the parameter value of adding up the identification channel condition of receiving by the mode of level cross.
4. adaptive modulation coding method as claimed in claim 1 is characterized in that,
Described network side carries out computing according to the statistics of the described difference that obtains in the time period to the parameter value of the identification channel condition received, obtains the step of the parameter value of average identification channel condition, is divided into following steps:
Described network side is adjusted the α value according to the statistics of difference in the time period, wherein 0＜α＜1;
Described network side is averaged computing by the α value after adjusting to the parameter value of the identification channel condition that receives, obtains the parameter value of average identification channel condition.
5. adaptive modulation coding method as claimed in claim 4 is characterized in that,
The step that described network side is adjusted the α value according to the statistics of difference in the time period is divided into following steps,
Described network side is judged if described statistics is the number of positive difference and negative difference suitable, judges that then the parameter value fluctuation of identification channel condition in this time period is serious, reduces the value of α with the step value of setting;
Described network side is judged if described statistics is the number of positive difference and negative difference to differ greatly, and judges that then the parameter value variation of identification channel condition in this time period is steady, with the value of the step value increase α that sets.
6. adaptive modulation coding method as claimed in claim 4 is characterized in that,
Described network side is averaged computing by the α value after adjusting to the parameter value of the identification channel condition that receives, is the parameter value that obtains average identification channel condition by following formula:
The parameter value of the parameter value+α * current identification channel condition of the parameter value of average identification channel condition=(1-α) * previous identification channel condition.
7. adaptive modulation coding method as claimed in claim 1 is characterized in that,
Described network side obtains the parameter value of average identification channel condition, and the step of the number of the parameter value of the average identification channel condition that obtains of statistics, is divided into following steps,
After described network side obtains the parameter value of average identification channel condition, the parameter value of the described average identification channel condition that obtains is deposited one by one, and the number of the parameter value of the average identification channel condition that obtains of statistics.
8. adaptive modulation coding method as claimed in claim 7 is characterized in that,
Described network side is that the parameter value of the described average identification channel condition that will obtain is in the following manner deposited one by one:
Described network side will be judged if the parameter value of the described average identification channel condition that obtains for the parameter value of the average identification channel condition that obtains for the first time, then will all be filled out the parameter value for the average identification channel condition that obtains for the first time in the whole memory window; Judge if the parameter value of the described average identification channel condition that obtains is the parameter value of the average identification channel condition that obtains for the second time, then the average identification memory channel conditional parameter value in the whole memory window is moved right, the parameter value grand window of a rightmost average identification channel condition is abandoned, the parameter value of the average identification channel condition that newly obtains is put into the Far Left of memory window, and the rest may be inferred.
9. adaptive modulation coding method as claimed in claim 1 or 2 is characterized in that,
After described network side is adjusted modulation coding mode, comprise that also parameter value that described network side will be designated the identification channel condition that receives for the first time is set to the step of true; Wherein, the parameter value of the identification channel condition that receives for the first time is set to " true ", refers to think to receive for the first time for the parameter value of the identification channel condition that receives next time.
10. as the arbitrary described adaptive modulation coding method of claim 1 to 8, it is characterized in that,
The parameter of described identification channel condition is for carrying the parameter of dried noise power ratio.
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| EP1919118A2 (en) * | 2006-11-06 | 2008-05-07 | Fujitsu Ltd. | Interference measuring and mapping for wireless networks with relay stations |
| CN101207461A (en) * | 2007-12-10 | 2008-06-25 | 华为技术有限公司 | Method and apparatus for self-adapting regulation of threshold value |
| CN101442382A (en) * | 2007-11-20 | 2009-05-27 | 中兴通讯股份有限公司 | Method for determining modulation encoded mode of rapid feedback channel |
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| EP1919118A2 (en) * | 2006-11-06 | 2008-05-07 | Fujitsu Ltd. | Interference measuring and mapping for wireless networks with relay stations |
| CN101442382A (en) * | 2007-11-20 | 2009-05-27 | 中兴通讯股份有限公司 | Method for determining modulation encoded mode of rapid feedback channel |
| CN101207461A (en) * | 2007-12-10 | 2008-06-25 | 华为技术有限公司 | Method and apparatus for self-adapting regulation of threshold value |
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