CN101867391B - Adaptive information processing method in wireless communication system - Google Patents

Abstract

The invention discloses an adaptive information processing method in a wireless communication system in the technical field of wireless communication. The method comprises the following steps of: transmitting pilot frequency information and block error rate information by a base station; performing channel estimation to obtain the signal-to-noise ratio and the multi-path extension time delay of the channel; when a user accesses the system for N times, the block error rate is greater than a threshold T and the current signal-to-noise ratio is greater than that upon the (N-1)th accessing to the system, performing channel quality indication convergence processing to obtain a channel quality indication convergence value; otherwise, setting the channel quality indication convergence value as M; obtaining the maximum available channel quality indication value and performing channel quality mapping process to obtain a channel quality indication map value; and transmitting a channel quality indication feedback value to the base station by the user, and performing modulation coding on downlink information and transmitting the information by the base station. The channel quality indication value has accurate positioning and high convergence speed; and the complexity for equipment and calculation is greatly reduced when high throughput of the system is ensured.

Description

Adaptive information processing method in the wireless communication system

Technical field

What the present invention relates to is a kind of method of wireless communication technology field, specifically is the adaptive information processing method in a kind of wireless communication system.

Background technology

The new generation of wireless communication system has adopted adaptive modulation and coding technology (Adaptive Modulation and Coding; AMC), best modulation system can be selected according to the quality of current channel in the base station; Thereby under situation, realize the maximization of transmission rate than low error rate.The purpose of adaptive modulation and coding technology is to be, under the situation that guarantees the communication correctness, improves the speed and capacity of communication etc. as much as possible.Under the condition that channel bit error rate allows, use the highest order of modulation and code check, thereby reach the purpose that improves communication quality.Wireless communication system is in order to carry out the adaptive modulation and coding operation in base station end; Must define the mapping relations of channel quality indication and code modulation mode; And through client feeds back channel quality indicated value, the code modulation mode when coming the specific base end that this user is transmitted.

Through existing literature search is found; Christian Mehlf ü hrer etc. are in " 17th European Signal ProcessingConference " (the 17 European signal processing meeting; August in 2009 24 to No. 28) delivered " Simulating the longterm evolution physical layer " (" emulation of long evolving system physical layer ") on; This article has proposed under the additive white Gaussian noise channel, comes the indication of selective channel quality through signal to noise ratio-channel quality indication map.But this technology is only limited to the situation of additive white Gaussian noise channel, can't be applied in the real system.

Find through retrieval again; Karsten Brueninghaus etc. are at " IEEE 16th International Symposium onPersonal; Indoor and Mobile Radio Communications " delivered " LinkPerformance Models for System Level Simulations of Broadband Radio Access Systems " (" the link performance model of the system-level emulation of broadband radio connecting system ") on (individual, indoor and the 16th international symposium of mobile radio of U.S. electric and Electronic Engineering Association) (Volume Four was the 2306th page to the 2311st page in 2005); Proposed the signal to noise ratio-channel quality indication map under the additive white Gaussian noise channel is extended to the channel of other type in this article, to realize the method for Adaptive Modulation and Coding.Its method is to adopt the signal to noise ratio mapping; Signal to noise ratio under other type channels is passed through empirical equation; Be mapped as the equivalent signal-to-noise ratio of additive white Gaussian noise channel; Signal to noise ratio-channel quality indication map under again should equivalence snr value substitution additive white Gaussian noise channel obtains channel quality indicated value.But weak point that should technology is, must know channel type in advance.Thereby in practical application, user side needs the processing that a channel type is judged that increase more, has promptly increased the workload of channel estimating, has also strengthened the complexity of ustomer premises access equipment.

Summary of the invention

The objective of the invention is to overcome the above-mentioned deficiency of prior art, the adaptive information processing method in a kind of wireless communication system is provided.The present invention is under the situation that increases the ustomer premises access equipment complexity hardly; The channel quality indication that has realized being complementary with practical application is selected; Thereby realize that adaptive information handles, have the channel quality indicated value location accurately, fast convergence rate, applied widely, adaptive ability is strong, complexity is low, the characteristics that are simple and easy to realize.

The present invention realizes through following technical scheme, the present invention includes following steps:

The first step, pilot frequency information and bLock error rate information are sent to the user in the base station.

In second step, the user receives pilot frequency information and bLock error rate information, and channel is carried out channel estimating, obtains channel signal to noise ratio and channel multi-path and expands time delay.

Described channel estimating may further comprise the steps:

1) (Least Square LS) obtains the estimated value of channel matrix to adopt least square method at the pilot frequency information place;

2) (Linear Minimum Mean Square Error, LMMSE) method are carried out the interior frequency domain channel estimated value that obtains the data message place of inserting to channel matrix, extract channel signal to noise ratio wherein to adopt linear minimum mean-squared error at frequency domain;

3) adopt the linear minimum mean-squared error method in time domain, insert the time domain channel estimated value that obtains the data message place in channel matrix is carried out, the channel multi-path that extracts is wherein expanded time delay.

In the 3rd step, when the N time connecting system of user, bLock error rate is greater than threshold value T, and during the channel signal to noise ratio of current channel signal to noise ratio during greater than the N-1 time connecting system, the user carries out channel quality and indicates convergence process, obtains channel quality indication convergence value; Otherwise the setting channel quality indication convergence value is M.

Described channel quality indication convergence process is:

$Q_{\mathrm{converge}}=\underset{m}{\mathrm{\Σ}}{a}_m{P}^m+\underset{n}{\mathrm{\Σ}}{b}_n{(B-B_{\mathrm{pre}})}^n+Z,$

Wherein: Q _ConvergeBe the N time channel quality indication convergence value, P is the N-1 time a channel quality indication feedback value, and B is current bLock error rate, B _PreBe the bLock error rate of previous feedback cycle, a _m, b _nBe multinomial coefficient, Z is a constant.

The 4th step, channel multi-path is expanded time delay substitution maximum available channel quality indicator function, obtain the maximum available channel quality indicated value, and carry out channel quality mapping process, obtain channel quality indication map value.

Described channel quality mapping process is:

$Q_{\mathrm{mapping}}=\min (\underset{i}{\mathrm{\Σ}}{x}_i{S}^i+\underset{j}{\mathrm{\Σ}}{y}_j{D}^j+C,Q_{\max }),$

Wherein: Q _MappingBe channel quality indication map value, Q _MaxBe the maximum available channel quality indicated value, S is the channel signal to noise ratio, and D is that channel multi-path is expanded time delay, x _i, y _jBe multinomial coefficient, C is a constant.

The 5th step; The user sends to the base station with value less in channel quality indication convergence value and the channel quality indication map value as channel quality indication feedback value; The base station is according to the mapping relations of channel quality indication feedback value in the prior art and modulating-coding parameter; Downlink information is carried out modulating-coding, and send the downlink information behind the modulating-coding to user.

Compared with prior art; The invention has the beneficial effects as follows: adopt existing channel estimating amount in the prevailing system (signal to noise ratio and channel multi-path are expanded time delay); Do not rely on specific channel model; Under the situation that increases the ustomer premises access equipment complexity hardly, realized the adaptive information processing that is complementary with practical application; Accurate, the fast convergence rate in channel quality indicated value location; Applied widely, adaptive ability is strong, complexity is low, be simple and easy to realize.

Description of drawings

Fig. 1 adopts three kinds of methods to carry out system's average throughput contrast sketch map of the PedB channel that information processing obtains respectively.

Fig. 2 adopts three kinds of methods to carry out system's average throughput contrast sketch map of the VehB channel that information processing obtains respectively.

Embodiment

Below in conjunction with accompanying drawing method of the present invention is further described: present embodiment provided detailed execution mode and concrete operating process, but protection scope of the present invention is not limited to following embodiment being to implement under the prerequisite with technical scheme of the present invention.

Embodiment

Present embodiment is used for the adaptive information of 3GPP (3G (Third Generation) Moblie partner program) LTE Release 8.0 (long evolving system 8.0 versions) system to be handled, and the maximum signal to noise ratio of each channel of this system is 30dB, specifically may further comprise the steps:

The first step, pilot frequency information and bLock error rate information are sent to the user in the base station.

In second step, the user receives pilot frequency information and bLock error rate information, and channel is carried out channel estimating, obtains channel signal to noise ratio and channel multi-path and expands time delay.

Described channel estimating may further comprise the steps:

1) adopt least square method to obtain the estimated value of channel matrix at the pilot frequency information place;

2) adopt the linear minimum mean-squared error method at frequency domain, insert the frequency domain channel estimated value that obtains the data message place in channel matrix is carried out, extract channel signal to noise ratio wherein;

3) adopt the linear minimum mean-squared error method in time domain, insert the time domain channel estimated value that obtains the data message place in channel matrix is carried out, the channel multi-path that extracts is wherein expanded time delay.

The user is for the first time during connecting system in the present embodiment, be provided with last feedback cycle channel quality indicated value be 15, the channel signal to noise ratio is 30dB, it is 20000ns that channel multi-path is expanded time delay, bLock error rate is 0, current bLock error rate is 0.

In the 3rd step, when the N time connecting system of user, bLock error rate is greater than threshold value T, and during the channel signal to noise ratio of current channel signal to noise ratio during greater than the N-1 time connecting system, the user carries out channel quality and indicates convergence process, obtains channel quality indication convergence value; Otherwise setting channel quality indication convergence value is 15.

Described channel quality indication convergence process is:

$Q_{\mathrm{converge}}=\underset{m}{\mathrm{\Σ}}{a}_m{P}^m+\underset{n}{\mathrm{\Σ}}{b}_n{(B-B_{\mathrm{pre}})}^n+Z,$

Wherein: Q _ConvergeBe the N time channel quality indication convergence value, P is the N-1 time a channel quality indication feedback value, and B is current bLock error rate, B _PreBe the bLock error rate of previous feedback cycle, a _m, b _nBe multinomial coefficient, Z is a constant.

Threshold value T is 10% in the present embodiment.

The preferred formula of channel quality indication convergence process is in the present embodiment:

$Q_{\mathrm{converge}}=\left\{\begin{array}{cc}{Q}_{\mathrm{pre}}-17.69B+18.22(B-B_{\mathrm{pre}})& D\&le;400\mathrm{ns}\\ Q_{\mathrm{pre}}-12.348B+14.31(B-B_{\mathrm{pre}})& 400\mathrm{ns}<D\&le;9500\mathrm{ns}\\ Q_{\mathrm{pre}}+{93.65B}^2-109.41B+35.23(B-B_{\mathrm{pre}})& 9500\mathrm{ns}<D\&le;12500\mathrm{ns}\\ Q_{\mathrm{pre}}+{0.71\mathrm{<figure-callout\; id="3"\; label="B"\; filenames="HDA0000023002690000011.png"\; state="\{\{state\}\}">B</figure-callout>}}^3+-{123.67B}^2-147.63B+35.23(B-B_{\mathrm{pre}})-0.32& 12500\mathrm{ns}<D\&le;14800\mathrm{ns}\\ Q_{\mathrm{pre}}+{0.5B}^2-35.59B+34.64(B-B_{\mathrm{pre}})+0.1& 14800\mathrm{ns}<D\&le;18000\mathrm{ns}\end{array}\right.$

Wherein: Q _ConvergeBe channel quality indication convergence value, Q _PreBe the channel quality indicated value of last feedback cycle, B is current bLock error rate, B _PreBe the bLock error rate of last feedback cycle, D is that channel multi-path is expanded time delay.

The 4th step, channel multi-path is expanded time delay substitution maximum available channel quality indicator function, obtain the maximum available channel quality indicated value, and carry out channel quality mapping process, obtain channel quality indication map value.

Described channel quality mapping process is:

$Q_{\mathrm{mapping}}=\min (\underset{i}{\mathrm{\&Sigma;}}{x}_i{S}^i+\underset{j}{\mathrm{\&Sigma;}}{y}_j{D}^j+C,Q_{\max }),$

Wherein: Q _MappingBe channel quality indication map value, Q _MaxBe the maximum available channel quality indicated value, S is the channel signal to noise ratio, and D is that channel multi-path is expanded time delay, x _i, y _jBe multinomial coefficient, C is a constant.

Maximum available channel quality indication choice function described in the present embodiment is:

$Q_{\max }=\left\{\begin{array}{cc}15& D\&le;400\mathrm{<figure-callout\; id="14"\; label="ns"\; filenames="HDA0000023002690000011.png"\; state="\{\{state\}\}">ns</figure-callout>}\\ 14& 400\mathrm{ns}<D\&le;9500\mathrm{ns}\\ 13& 9500\mathrm{ns}<D\&le;12500\mathrm{<figure-callout\; id="12"\; label="ns"\; filenames="HDA0000023002690000011.png"\; state="\{\{state\}\}">ns</figure-callout>}\\ 12& 12500\mathrm{ns}<D\&le;14800\mathrm{ns}\\ 11& 14800\mathrm{ns}<D\&le;18000\mathrm{ns}\end{array}\right.,$

Wherein, Q _MaxBe the maximum available channel quality indicated value, its span is [1,15], and D is that channel multi-path is expanded time delay.

The preferred formula of channel quality mapping process is in the present embodiment:

$Q_{\mathrm{mapping}}=\left\{\begin{array}{cc}\min (0.5134S-\mathrm{0.215,15})& 0\mathrm{ns}\&le;D\&le;400\mathrm{ns}\\ \min (0.4306S+\mathrm{2.148,14})& 400\mathrm{ns}<D\&le;9500\mathrm{ns}\\ \min (0.4015S+\mathrm{2.152,13})& 9500\mathrm{ns}<D\&le;12500\mathrm{ns}\\ \min ({-0.004401\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA0000023002690000011.png,HDA0000023002690000012.png"\; state="\{\{state\}\}">S</figure-callout>}}^2+0.5129S+\mathrm{1.737,12})& 12500\mathrm{ns}<D\&le;14800\mathrm{ns}\\ \min ({-0.007224\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA0000023002690000011.png,HDA0000023002690000012.png"\; state="\{\{state\}\}">S</figure-callout>}}^2+0.5269S+\mathrm{1.771,11})& 14800\mathrm{ns}<D\&le;18000\mathrm{ns}\end{array}\right.,$

Wherein, Q _MappingBe channel quality indication map value, S is the channel signal to noise ratio, and D is that channel multi-path is expanded time delay.

The 5th step; The user sends to the base station with value less in channel quality indication convergence value and the channel quality indication map value as channel quality indication feedback value; The base station is according to the mapping relations of channel quality indication feedback value in the prior art and modulating-coding parameter; Downlink information is carried out modulating-coding, and send the downlink information behind the modulating-coding to user.

The mapping relations of channel quality indication feedback value and modulating-coding parameter are by the TS 36.213 among the 3GPP LTE release8.0 (third generation partner program long evolving system 8.0 versions) in the present embodiment: " Evolved Universal TerrestrialRadio Access (E-UTRA); Physical layer procedures " (technical specification 36.213: " modified model whole world terrestrial wireless inserts; Physical layer procedure ") definition, specifically as shown in table 1:

Table 1

The present embodiment method is designated as method 1; Adopt the adaptive modulation coding method of additive white Gaussian noise channel signal to noise ratio-channel quality indication map and conventional channel quality indication convergence method to be designated as method 2; Only adopt the adaptive modulation coding method of conventional channel quality indication convergence method to be designated as method 3.

Adopt method 1, method 2 and 3 couples of representative channel PedB of method (pedestrian's channel Type B) to carry out information processing respectively; When signal to noise ratio is 5dB; The channel quality indication convergence time of method 1 is 1 feedback cycle; The channel quality indication convergence time of method 2 is 2 feedback cycles, and the channel quality indication convergence time of method 3 is 3 feedback cycles; When signal to noise ratio was 15dB, the channel quality of method 1 indication convergence time was 1 feedback cycle, and the channel quality indication convergence time of method 2 is 4 feedback cycles, and the channel quality indication convergence time of method 3 is 2 feedback cycles; When signal to noise ratio was 25dB, the channel quality of method 1 indication convergence time was 1 feedback cycle, and the channel quality indication convergence time of method 2 is 4 feedback cycles, and the channel quality indication convergence time of method 3 is 4 feedback cycles.Hence one can see that: method 1 all only needs a feedback cycle just can reach the convergence of channel quality indication under each signal to noise ratio condition; And method 2 all needs two or more feedback cycles with method 3, could realize the convergence of channel quality indication.

Adopt method 1, method 2 and 3 couples of representative channel VehB of method (automobile channel Type B) to carry out information processing respectively; When signal to noise ratio is 5dB; The channel quality indication convergence time of method 1 is 2 feedback cycles; The channel quality indication convergence time of method 2 is 3 feedback cycles, and the channel quality indication convergence time of method 3 is 3 feedback cycles; When signal to noise ratio was 15dB, the channel quality of method 1 indication convergence time was 2 feedback cycles, and the channel quality indication convergence time of method 2 is 2 feedback cycles, and the channel quality indication convergence time of method 3 is 4 feedback cycles; When signal to noise ratio was 25dB, the channel quality of method 1 indication convergence time was 2 feedback cycles, and the channel quality indication convergence time of method 2 is 2 feedback cycles, and the channel quality indication convergence time of method 3 is 2 feedback cycles.Hence one can see that: in each signal to noise ratio condition, the indication of the channel quality of method 1 all need move two feedback cycles and could restrain.But the convergence time of method 1 still is no more than the convergence time of method 2 and method 3.

Relatively sketch map is as shown in Figure 1 when adopting method 1, method 2 and 3 couples of representative channel PedB of method channel to carry out system's average throughput that information processing obtains respectively; Can be known by Fig. 1: system's average throughput rate of climb of method 1 is faster; Can reach maximum throughput at first; And the average throughput that method 1 is produced ratio method 2 and method 3 bigger all at each constantly.

Relatively sketch map is as shown in Figure 2 when adopting method 1, method 2 and 3 couples of representative channel VehB of method channel to carry out system's average throughput that information processing obtains respectively; Can be known by Fig. 2: the throughput of method 1 is greater than the throughput of method 2 and method 3, and the rate of climb is faster.It should be noted that when signal to noise ratio is 25dB that though the convergence time of three methods is identical, the throughput after the convergence but is the maximum of method 1.Same situation is also can see between method 1 and the method 2 at 15dB place in signal to noise ratio.Because throughput and channel quality indicated value direct correlation, under the situation that is no more than the maximum channel quality indicated value, channel quality indicated value is big more, and throughput is big more; And when carrying out modulating-coding, can arrive maximum throughput with the maximum available channel quality indicated value.This shows that the channel quality indicated value of channel quality indicated value ratio method 2 that method 1 is selected and method 3 selections is more near the maximum available channel quality indicated value.That is to say; The selection precision of the described adaptive information processing method of present embodiment is higher; Channel quality indication location is more accurate, and method 2 might restrain less than the maximum available channel quality indicated value with method 3, and the channel quality indication selects precision high not as the described method of present embodiment.

Therefore; The present embodiment method have channel quality indicated value location accurately, fast convergence rate, throughput is high, applied widely, adaptive ability is strong, complexity is low, the characteristics that are simple and easy to realize; Can move and wireless network for various, particularly use the wireless network of adaptive information treatment technology.

Claims (8)

1. the adaptive information processing method in the wireless communication system is characterized in that, may further comprise the steps:

The first step, pilot frequency information and bLock error rate information are sent to the user in the base station;

In second step, the user receives pilot frequency information and bLock error rate information, and channel is carried out channel estimating, obtains channel signal to noise ratio and channel multi-path and expands time delay;

In the 3rd step, when the N time connecting system of user, bLock error rate is greater than threshold value T, and during the channel signal to noise ratio of current channel signal to noise ratio during greater than the N-1 time connecting system, the user carries out channel quality and indicates convergence process, obtains channel quality indication convergence value; Otherwise the setting channel quality indication convergence value is M;

The 4th step, channel multi-path is expanded time delay substitution maximum available channel quality indicator function, obtain the maximum available channel quality indicated value, and carry out channel quality mapping process, obtain channel quality indication map value;

The 5th step; The user sends to the base station with value less in channel quality indication convergence value and the channel quality indication map value as channel quality indication feedback value; The base station is according to the mapping relations of channel quality indication feedback value in the prior art and modulating-coding parameter; Downlink information is carried out modulating-coding, and send the downlink information behind the modulating-coding to user;

Channel estimating described in second step may further comprise the steps:

1) adopt least square method to obtain the estimated value of channel matrix at the pilot frequency information place;

2) adopt the linear minimum mean-squared error method at frequency domain, insert the frequency domain channel estimated value that obtains the data message place in channel matrix is carried out, extract channel signal to noise ratio wherein;

3) adopt the linear minimum mean-squared error method in time domain, insert the time domain channel estimated value that obtains the data message place in channel matrix is carried out, the channel multi-path that extracts is wherein expanded time delay.

2. the adaptive information processing method in the wireless communication system according to claim 1 is characterized in that, the channel quality indication convergence process described in the 3rd step is:

$Q_{\mathrm{converge}}=\underset{m}{\mathrm{\&Sigma;}}{a}_m{P}^m+\underset{n}{\mathrm{\&Sigma;}}{b}_n{\left({B-B}_{\mathrm{pre}}\right)}^n+Z,$

Wherein: Q _ConvergeBe the N time channel quality indication convergence value, P is the N-1 time a channel quality indication feedback value, and B is current bLock error rate, B _PreBe the bLock error rate of previous feedback cycle, a _m, b _nBe multinomial coefficient, Z is a constant.

3. the adaptive information processing method in the wireless communication system according to claim 1 is characterized in that, the channel quality indication convergence process described in the 3rd step is:

$Q_{\mathrm{converge}}=\left\{\begin{array}{cc}{Q}_{\mathrm{pre}}-17.69B+18.22\left({B-B}_{\mathrm{pre}}\right)& D\&le;400\mathrm{ns}\\ Q_{\mathrm{pre}}-12.348B+14.31\left({B-B}_{\mathrm{pre}}\right)& 400\mathrm{ns}<D\&le;9500\mathrm{ns}\\ Q_{\mathrm{pre}}+93.65B^2-109.41B+35.23\left({B-B}_{\mathrm{pre}}\right)& 9500\mathrm{ns}<D\&le;12500\mathrm{ns}\\ Q_{\mathrm{pre}}+0.71B^3+123.67B^2-147.63B+35.23\left({B-B}_{\mathrm{pre}}\right)-0.32& 12500\mathrm{ns}<D\&le;14800\mathrm{ns}\\ Q_{\mathrm{pre}}+0.5B^2-35.59B+34.64\left({B-B}_{\mathrm{pre}}\right)+0.1& 14800\mathrm{ns}<D\&le;18000\mathrm{ns}\end{array}\right.$

Wherein: Q _ConvergeBe channel quality indication convergence value, Q _PreBe the channel quality indicated value of last feedback cycle, B is current bLock error rate, B _PreBe the bLock error rate of last feedback cycle, D is that channel multi-path is expanded time delay.

4. the adaptive information processing method in the wireless communication system according to claim 1 is characterized in that, the channel quality mapping process described in the 4th step is:

$Q_{\mathrm{mapping}}=\min (\underset{i}{\mathrm{\&Sigma;}}{x}_i{S}^i+\underset{j}{\mathrm{\&Sigma;}}{y}_j{D}^j+C,Q_{\max }),$

Wherein: Q _MappingBe channel quality indication map value, Q _MaxBe the maximum available channel quality indicated value, S is the channel signal to noise ratio, and D is that channel multi-path is expanded time delay, x _i, y _jBe multinomial coefficient, C is a constant.

5. according to the adaptive information processing method in claim 1 or the 4 described wireless communication systems, it is characterized in that described channel quality mapping process is:

$Q_{\mathrm{mapping}}=\left\{\begin{array}{cc}\min (0.5134S-\mathrm{0.215,15})& 0\mathrm{ns}\&le;D\&le;400\mathrm{ns}\\ \min (0.4306S+\mathrm{2.148,14})& 400\mathrm{ns}<D\&le;9500\mathrm{ns}\\ \min (0.4015S+\mathrm{2.152,13})& 9500\mathrm{ns}<D\&le;12500\mathrm{ns}\\ \min (-0.004401S^2+0.5129S+\mathrm{1.737,12})& 12500\mathrm{ns}<D\&le;14800\mathrm{ns}\\ \min (-0.007224S^2+0.5269S+1.771,11)& 14800\mathrm{ns}<D\&le;18000\mathrm{ns}\end{array}\right.,$

Wherein, Q _MappingBe channel quality indication map value, S is the channel signal to noise ratio, and D is that channel multi-path is expanded time delay.

6. the adaptive information processing method in the wireless communication system according to claim 1 is characterized in that, the M described in the 3rd step is 15.

7. the adaptive information processing method in the wireless communication system according to claim 1 is characterized in that, the maximum available channel quality indicator function described in the 4th step is:

$Q_{\max }=\left\{\begin{array}{cc}15& D\&le;400\mathrm{ns}\\ 14& 400\mathrm{ns}<D\&le;9500\mathrm{ns}\\ 13& 9500\mathrm{ns}<D\&le;12500\mathrm{ns}\\ 12& 12500\mathrm{ns}<D\&le;14800\mathrm{ns}\\ 11& 14800\mathrm{ns}<D\&le;18000\mathrm{ns}\end{array}\right.,$

Wherein, Q _MaxBe the maximum available channel quality indicated value, its span is [1,15], and D is that channel multi-path is expanded time delay.

8. the adaptive information processing method in the wireless communication system according to claim 1 is characterized in that, the threshold value T described in the 3rd step is 10%.

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