CN103546206A

CN103546206A - Method for reducing link self-adaptation feedback information amount, wireless telecommunication equipment and wireless telecommunication system

Info

Publication number: CN103546206A
Application number: CN201310530686.0A
Authority: CN
Inventors: 不公告发明人
Original assignee: Yulong Computer Telecommunication Scientific Shenzhen Co Ltd
Current assignee: Yulong Computer Telecommunication Scientific Shenzhen Co Ltd
Priority date: 2013-10-31
Filing date: 2013-10-31
Publication date: 2014-01-29

Abstract

The invention provides a method for the reducing link self-adaptation feedback information amount. According to the method, the total throughput amount under all situations is computed through the hypothesis on the number of orders and traversal of MCS combination; in all total throughput amount corresponding to selected pre-encoding matrix combination, a sending party tells the pre-encoding matrix combination corresponding to the largest total throughput amount and the MCS combination to a receiving party. The invention further provides corresponding wireless telecommunication equipment and a wireless telecommunication system. According to the technical scheme, the total information feedback amount in an MIMO system can be reduced greatly.

Description

Method, wireless communication device and system for reducing link adaptive feedback information amount

Technical Field

The present invention relates to the field of wireless communication technologies, and in particular, to a method for reducing the amount of link adaptive feedback information, a wireless communication device, and a wireless communication system.

Background

In 3GPP Rel-10, MIMO system double codebook structure W of 8 transmitting antennas₁W₂In respect of W₁Supporting beam grouping technology; and through W₁Beam grouping, W₂Can be selected from W₁Selecting from optimized beam groups to reduce W₂PMI feedback information amount of (1).

However, when there are a plurality of MCSs, MCS feedback needs to be performed for each data stream weighted by precoding, and the amount of feedback information of MCS indexes of all data streams is still large. For example, after introducing 256QAM, there are 32 MCSs in total considering 8 channel coding rates, i.e. 5 bits of MCS index needs to be fed back for each data stream.

Therefore, how to reduce the total information feedback amount in the MIMO system while performing MCS feedback becomes a technical problem to be solved urgently at present.

Disclosure of Invention

Based on the above problems, the present invention provides a new technical solution, which can greatly reduce the total information feedback amount in the MIMO system.

In view of this, the present invention provides a method for reducing the amount of link adaptive feedback information, including: the method comprises the steps of predetermining the number of ranks corresponding to the channel of the MIMO system when any pre-coding matrix is adopted for weighting processing, and storing the number of each rank and all MCS combinations corresponding to all ranks under the number in a correlation manner on a sender of the channel; the sender searches all MCS combinations stored in association with the current number according to the number of the rank corresponding to the currently selected precoding matrix combination, and calculates the total throughput of the channel corresponding to each MCS combination according to the value of the specific CQI parameter of the channel measured and returned by the receiver; and in all the total throughputs corresponding to all the selected precoding matrix combinations, the sender informs the receiver of the precoding matrix combination and the MCS combination corresponding to the maximum total throughput.

In the technical scheme, the sender mainly traverses all the situations to find out the situation with the maximum total throughput, so that the situation is fed back to the receiver, all data streams between the sender and the receiver are uniformly subjected to MCS index feedback, each data stream does not need to be fed back respectively, and the data feedback quantity is greatly reduced.

The conditions corresponding to all precoding matrixes can be determined by predetermining the number of all possible ranks and all possible MCS combinations, and the total throughput of the channel under any condition is calculated; by selecting the total throughput, the selected precoding matrix combination and MCS combination can be deduced reversely, so that each data flow does not need to be fed back respectively, and the fed-back data quantity is reduced.

In the above technical solution, preferably, the method further includes: establishing indexes for all MCS combinations corresponding to the number of each rank, and storing the number of each rank, all MCS combinations corresponding to all ranks in the number and the indexes established for all MCS combinations in a correlated manner in the sender and the receiver; and the sender sends the index of the precoding matrix combination and the index of the MCS combination corresponding to the maximum total throughput to the receiver.

In the technical scheme, the index is established, so that a sender only needs to send the numerical value of the index when feeding back the index of the MCS combination to a receiver, and does not need to send the information of the specific MCS combination, thereby further reducing the feedback information amount.

In any of the above technical solutions, preferably, the method further includes: predetermining the throughput of any subchannel obtained after weighting processing corresponding to each condition combination composed of different MCS and different values of specific CQI parameters, and storing each condition combination and the corresponding throughput in a sender of the channel in a correlation manner; and the process that the sender calculates the total throughput of the channel corresponding to each MCS combination comprises the following steps: and the sender determines the value of the specific CQI parameter corresponding to each subchannel after weighting the channel by adopting the currently selected precoding matrix combination according to the value of the specific CQI parameter of the channel, searches the throughput of the associated storage according to the currently selected MCS combination, and calculates the total throughput of the channel according to the throughputs corresponding to all the subchannels.

In the technical scheme, because the total throughput is the sum of throughputs corresponding to all sub-channels obtained after weighting the current channel, the throughput of each sub-channel under all conditions is calculated and stored in advance, so that the sender does not need to repeatedly calculate the throughput of each sub-channel when calculating the total throughput each time, and can calculate the final total throughput only by searching the pre-stored calculation results and executing relatively simple numerical value combination, thereby being beneficial to reducing the operation burden of the sender and accelerating the selection and feedback of the combination of the precoding matrix and the MCS.

Wherein "all cases" includes a combination between the number of any rank, any MCS combination, and a value of a specific CQI parameter; the specific CQI parameter may be one or more predetermined parameters, and the accuracy of the coverage may be extended by adding the CQI parameter to determine that the case matching the current can always be found in the pre-stored "all cases" each time the total throughput is calculated in real time. By further setting the error range, when the actually measured CQI parameter is not completely the same as the pre-stored CQI parameter, the approximate CQI parameter and the corresponding pre-stored data can be selected, so that the calculation load of the sender can be reduced and the calculation speed can be increased.

In any of the above technical solutions, preferably, the specific CQI parameter includes: signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio (SINR), and/or signal-to-noise-distortion ratio (SNDR).

In this technical solution, any one or more of the above CQI parameters may be used. When one CQI parameter is selected, the overall operation amount is reduced; when multiple CQI parameters are selected, the multiple CQI parameters may be combined with each other, and each case may be further combined with parameters such as the number of ranks and MCS combinations, so as to help obtain more accurate total throughput data.

The present invention also provides a wireless communication device, including: a preprocessing unit, configured to determine in advance the number of ranks corresponding to when any precoding matrix is used to perform weighting processing on a channel of a MIMO system in which the wireless communication device is located; a pre-storing unit, configured to perform associated storage on the number of each rank determined by the pre-processing unit and all MCS combinations corresponding to all ranks in the number; a throughput calculation unit, configured to search all MCS combinations stored in association with a current number according to the number of ranks corresponding to a currently selected precoding matrix combination, and calculate a total throughput of the channel corresponding to each MCS combination according to a value of a specific CQI parameter of the channel measured and returned by a receiving side; and the data interaction unit is used for informing the receiver of the precoding matrix combination and the MCS combination corresponding to the maximum total throughput in all total throughputs corresponding to all the selected precoding matrix combinations.

In the above technical solution, preferably, the preprocessing unit is further configured to: establishing indexes for all MCS combinations corresponding to the number of each rank; the pre-storing unit is further configured to: the number of each rank, all MCS combinations corresponding to all ranks in the number and indexes established for all MCS combinations are stored in an associated manner, wherein the number of each rank, all MCS combinations corresponding to all ranks in the number and indexes established for all MCS combinations are also stored in an associated manner by the receiving side; and the data interaction unit is further configured to: and sending the index of the precoding matrix combination and the index of the MCS combination corresponding to the maximum total throughput to the receiving side.

In any of the above technical solutions, preferably, the preprocessing unit is further configured to: predetermining the throughput of any subchannel obtained after the weighting processing corresponding to each condition combination composed of different MCS and different values of specific CQI parameters; the pre-storing unit is further configured to: storing each condition combination and corresponding throughput in a correlation manner; the throughput calculation unit is to: and determining the value of the specific CQI parameter corresponding to each subchannel after the channel is weighted by adopting the currently selected precoding matrix combination according to the value of the specific CQI parameter of the channel, searching the associated and stored throughput according to the currently selected MCS combination, and calculating the total throughput of the channel according to the throughputs corresponding to all the subchannels.

In any of the above technical solutions, preferably, the wireless communication device is a base station, and the receiving side is a terminal; and/or the wireless communication equipment is a terminal, and the receiving party is a base station.

The present invention also provides a wireless communication system, which is characterized by comprising the wireless communication device according to any of the above technical solutions.

By the technical scheme, the total information feedback quantity in the MIMO system can be greatly reduced.

Drawings

Fig. 1 shows a schematic flow diagram of a method of reducing the amount of link adaptation feedback information according to an embodiment of the invention;

fig. 2 shows a schematic block diagram of a wireless communication device according to an embodiment of the invention;

fig. 3 is a diagram illustrating interaction of feedback information between a base station and a terminal according to an embodiment of the present invention;

fig. 4 shows a schematic block diagram of a wireless communication system according to an embodiment of the invention.

Detailed Description

In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.

Summary of the schemes

In a MIMO system comprising Tx transmit antennas, the downlink uses W₁W₂Provided that the effective rank number rank = n, and a codebook matrix set W₁The inner side contains N₁A plurality of codebooks divided into a plurality of groups by beam grouping, each group having a corresponding W₂Codebook structure for the mth group W therein₁ ^(m)And g = num (W) inside₁ ^(m)) A codebook matrix, W₁ ^(m)Corresponding to W₂The inner side contains N₂A codebook, namely:

W₁={W₁ ⁽¹⁾,W₁ ⁽²⁾,...,W₁ ^(m),...,W₁ ^(g)}。

wherein, num (W)₁ ⁽¹⁾+W₁ ⁽²⁾+...+W₁ ^(g))=N₁And W is₁ ^(m)Corresponding W₂The matrix combination is

{W_{2}^{(m, 1)}, . . ., W_{2}^{(m, N_{2})}} .

Therefore, the user needs to select the optimal W according to the maximum throughput principle₁The data is grouped into a group,selecting an optimal codebook matrix W1 therefrom, and selecting W from the selected₁W corresponding to packet₂In the codebook, an optimal codebook matrix w2 is selected, and an MCS combination with an optimal rank is found at the same time.

In order to find out the precoding matrix w corresponding to the maximum throughput₁And w₂And an optimal MCS combination, the present invention proposes the following technical solutions in conjunction with fig. 1 to 4 to reduce the amount of feedback data.

Second, the details of the scheme

Fig. 1 shows a schematic flow diagram of a method of reducing the amount of link adaptation feedback information according to an embodiment of the invention.

As shown in fig. 1, a method for reducing the amount of link adaptive feedback information according to an embodiment of the present invention includes:

step 102, determining in advance the number of ranks corresponding to when any pre-coding matrix is adopted to perform weighting processing on a channel of the MIMO system, and associating and storing the number of each rank with all MCS combinations corresponding to all ranks under the number in a sender of the channel;

104, the sender searches all MCS combinations stored in association with the current number according to the number of the rank corresponding to the currently selected precoding matrix combination, and calculates the total throughput of the channel corresponding to each MCS combination according to the value of the specific CQI parameter of the channel measured and returned by the receiver;

and 106, in all the total throughputs corresponding to all the selected precoding matrix combinations, the sender informs the receiver of the precoding matrix combination and the MCS combination corresponding to the maximum total throughput.

1. Enumerating the combination of all MCSs under the specified CQI parameters

The specific enumeration is many, and for example, the enumeration may take the form of a list as shown below.

TABLE 1

As shown in table 1, the throughput of the sub-channel is specified by various different MCSs and specific CQI parameters in a specific case. The MCS may include four modulation schemes of QAM, 16QAM, 64QAM and 256QAM, and each modulation scheme may correspond to 8 channel coding rates from R1 to R8, so that 32 different MCS combinations may be formed altogether.

The CQI parameters may be various, such as a signal-to-noise ratio (SNR), a signal-to-interference-plus-noise ratio (SINR), and/or a signal-to-noise-and-distortion ratio (SNDR), and any one or more of them may be selected, for example, the CQI shown in table 1 is SINR, or table 1 may be generated according to MCS throughput corresponding to SNR under AWGN channel. When one CQI parameter is selected, the overall operation amount is reduced; when multiple CQI parameters are selected, the multiple CQI parameters may be combined with each other, and each case may be further combined with parameters such as the number of ranks and MCS combinations, so as to help obtain more accurate total throughput data.

Based on a certain determined MCS combination and the value of the CQI parameter, the corresponding subchannel throughput can be calculated according to a preset formula, such as T11 shown in table 1, i.e., the corresponding throughput when the MCS combination is QAM + R1 and the CQI is SINR. Of course, the throughput may be calculated in advance and associated to the corresponding situation, or may be calculated in real time when the total throughput is calculated; meanwhile, as described above, the form of the list shown in table 1 is only a specific data association manner, and it is obvious that the association storage may be implemented in other forms.

2. Enumerating all MCS combinations at a number of specified ranks

TABLE 2

As shown in table 2, when different precoding matrices are used to implement weighting processing on the channel, the numbers of corresponding ranks may be obtained, and these numbers are not always the same, so based on the number of any possible rank, the corresponding MCS combinations that may be used should be listed, that is, the number of each rank corresponds to a table as shown in table 2; by determining the number of ranks, the corresponding "table 2" is selected, i.e. the final total throughput calculation can be achieved by combining table 1 and table 2.

For example, for the case where the number of ranks is n, i.e., the channel may be weighted into n subchannels, it is assumed that there may be k different MCS combinations for the n subchannels. As shown in the table 2 below, the following examples,

the MCS set is a set of MCS combinations, … …,

is a set of MCS combinations.

Multiple sets of MCS combinations may exhibit consistent regularity, such as: in k groups of MCSs, each group of n MCSs exhibits consistent regularity. For example, the order (i.e. modulation order, coding rate) of n MCSs in the same set of MCS combinations decreases sequentially, and the decreasing amplitude of different MCS combinations may be different; or the orders of the n MCS combinations in the same group of MCS combinations are all located in the same interval or are the same, and the order intervals of different MCS combinations are different.

Inconsistent regularity may also be present, such as: in k groups of MCSs, each group of n MCSs exhibits different regularity. For example, the MCS orders in a part of the MCS combinations are sequentially decreased, and the MCS orders in a part of the MCS combinations are located in the same interval or the same.

Corresponding indexes can be further established for each group of MCS combinations, and lists shown in Table 2 are respectively stored at both ends of the sender and the receiver, so that the amount of feedback data is reduced by only sending index numbers instead of specific MCS combination information.

3. Selection of a combination of precoding matrix and MCS

More specifically, the present invention describes in detail how to implement the selection of the combination of the precoding matrix and the MCS based on the above table 1 and table 2.

The principle of the scheme selection is as follows: from W₁、W₂A group of w1 and w2 precoding matrices are found in all precoding matrices, and according to the number of ranks corresponding to the group of precoding matrices, a corresponding plurality of groups of MCS combinations shown in table 2 are selected, and a group of MCS combinations is found out from the selected groups of MCS combinations, so that the total throughput obtained by the weighted MIMO channel is the maximum under the condition of using the MCS combinations (the corresponding total throughput is calculated by combining table 1).

Suppose that channel H of the MIMO system (assuming currently employed channel H) passes through any one of w₁、w₂CQIs of n ranks obtained at the receiving end after combined weighting (e.g. CQI of n ranks

Then the n CQIs have a corresponding MCS combination list as shown in table 2, and after matching with a certain MCS combination in table 2, the sum of the throughputs obtained is:

the invention aims to find the optimal w1, w2 and MCS combination by the following principle. The following were used:

wherein,

<math> <mrow> <mi>w</mi> <mn>1</mn> <mo>&Subset;</mo> <mi>w</mi> <mn>1</mn> <mo>,</mo> <mi>w</mi> <mn>2</mn> <mo>&Subset;</mo> <mi>w</mi> <mn>2</mn> <mo>,</mo> <mi>j</mi> <mo>&Subset;</mo> <mo>[</mo> <mn>1</mn> <mo>,</mo> <mi>k</mi> <mo>]</mo> <mo>.</mo> </mrow> </math>

specifically, for W by the method of cyclic search₁N of (A)₁All matrices in a group and their corresponding Ws₂All weighting matrices in the packet are traversed and matched with the MCS combinations of Table 2 one to find the w that achieves the maximum throughput₁、w₂And MCS combining and feeding back w through uplink₁、w₂And an index of the MCS combination. Where the throughput per subchannel shown in table 1 is established in advance, table 1 may be further combined to reduce the amount of real-time computation per total throughput.

Corresponding to the inventive principle described above, the present invention also proposes a corresponding wireless communication device, which is described in detail below with reference to fig. 2, wherein fig. 2 shows a schematic block diagram of a wireless communication device according to an embodiment of the present invention.

As shown in fig. 2, the wireless communication apparatus 200 according to an embodiment of the present invention includes: a preprocessing unit 202, configured to determine in advance the number of ranks corresponding to when any precoding matrix is used to weight the channel of the MIMO system in which the wireless communication apparatus 200 is located; a pre-storing unit 204, configured to perform associated storage on the number of each rank determined by the pre-processing unit 202 and all MCS combinations corresponding to all ranks in the number; a throughput calculation unit 206, configured to search all MCS combinations stored in association with the current number according to the number of the rank corresponding to the currently selected precoding matrix combination, and calculate the total throughput of the channel corresponding to each MCS combination according to the value of the specific CQI parameter of the channel measured and returned by the receiving side; a data interacting unit 208, configured to inform the receiving side of the precoding matrix combination and the MCS combination corresponding to the maximum total throughput among all total throughputs corresponding to all selected precoding matrix combinations.

In the technical solution, the sender (i.e. the wireless communication device 200) mainly traverses all situations to find out the situation with the maximum total throughput, and feeds back the situation to the receiver, so that all data streams between the sender and the receiver are uniformly fed back with the MCS index, and each data stream does not need to be fed back separately, thereby greatly reducing the data feedback amount.

In the above technical solution, preferably, the preprocessing unit 202 is further configured to: establishing indexes for all MCS combinations corresponding to the number of each rank; the pre-storing unit 204 is further configured to: the number of each rank, all MCS combinations corresponding to all ranks in the number and indexes established for all MCS combinations are stored in an associated manner, wherein the number of each rank, all MCS combinations corresponding to all ranks in the number and indexes established for all MCS combinations are also stored in an associated manner by the receiving side; and the data interaction unit 208 is further configured to: and sending the index of the precoding matrix combination and the index of the MCS combination corresponding to the maximum total throughput to the receiving side.

In any of the above technical solutions, preferably, the preprocessing unit 202 is further configured to: predetermining the throughput of any subchannel obtained after the weighting processing corresponding to each condition combination composed of different MCS and different values of specific CQI parameters; the pre-storing unit 204 is further configured to: storing each condition combination and corresponding throughput in a correlation manner; the throughput calculation unit 206 is configured to: and determining the value of the specific CQI parameter corresponding to each subchannel after the channel is weighted by adopting the currently selected precoding matrix combination according to the value of the specific CQI parameter of the channel, searching the associated and stored throughput according to the currently selected MCS combination, and calculating the total throughput of the channel according to the throughputs corresponding to all the subchannels.

Fig. 3 is a diagram illustrating interaction of feedback information between a base station and a terminal according to an embodiment of the present invention.

As shown in fig. 3, the technical solution of the present invention may be applied to a data interaction process between multiple communication devices, for example, if the wireless communication device 200 shown in fig. 2 may be a base station 302, and the receiving party is a terminal 304; meanwhile, the wireless communication device 200 may also be a terminal 304, and the receiving party is a base station 302; the specific role of the wireless communication device 200 can vary from case to apply to different specific devices.

As shown in fig. 4, a wireless communication system 400 according to an embodiment of the present invention includes the wireless communication device 200 shown in fig. 2.

The technical solutions of the present invention are described in detail above with reference to the accompanying drawings, and the present invention provides a method for reducing link adaptive feedback information amount, a wireless communication device and a wireless communication system, which can greatly reduce the total information feedback amount in a MIMO system.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for reducing the amount of link adaptation feedback information, comprising:

the method comprises the steps of predetermining the number of ranks corresponding to the channel of the MIMO system when any pre-coding matrix is adopted for weighting processing, and storing the number of each rank and all MCS combinations corresponding to all ranks under the number in a correlation manner on a sender of the channel;

the sender searches all MCS combinations stored in association with the current number according to the number of the rank corresponding to the currently selected precoding matrix combination, and calculates the total throughput of the channel corresponding to each MCS combination according to the value of the specific CQI parameter of the channel measured and returned by the receiver;

and in all the total throughputs corresponding to all the selected precoding matrix combinations, the sender informs the receiver of the precoding matrix combination and the MCS combination corresponding to the maximum total throughput.

2. The method of reducing the amount of link adaptation feedback information according to claim 1, further comprising:

establishing indexes for all MCS combinations corresponding to the number of each rank, and storing the number of each rank, all MCS combinations corresponding to all ranks in the number and the indexes established for all MCS combinations in a correlated manner in the sender and the receiver; and

and the sender sends the index of the precoding matrix combination and the index of the MCS combination corresponding to the maximum total throughput to the receiver.

3. The method of reducing the amount of link adaptation feedback information according to claim 1, further comprising:

predetermining the throughput of any subchannel obtained after weighting processing corresponding to each condition combination composed of different MCS and different values of specific CQI parameters, and storing each condition combination and the corresponding throughput in a sender of the channel in a correlation manner; and

the process of the sender calculating the total throughput of the channel corresponding to each MCS combination comprises the following steps:

and the sender determines the value of the specific CQI parameter corresponding to each subchannel after weighting the channel by adopting the currently selected precoding matrix combination according to the value of the specific CQI parameter of the channel, searches the throughput of the associated storage according to the currently selected MCS combination, and calculates the total throughput of the channel according to the throughputs corresponding to all the subchannels.

4. The method of any of claims 1 to 3, wherein the specific CQI parameter comprises: signal to noise ratio, signal to interference plus noise ratio, and/or signal to noise distortion ratio.

5. A wireless communication device, comprising:

a preprocessing unit, configured to determine in advance the number of ranks corresponding to when any precoding matrix is used to perform weighting processing on a channel of a MIMO system in which the wireless communication device is located;

a pre-storing unit, configured to perform associated storage on the number of each rank determined by the pre-processing unit and all MCS combinations corresponding to all ranks in the number;

a throughput calculation unit, configured to search all MCS combinations stored in association with a current number according to the number of ranks corresponding to a currently selected precoding matrix combination, and calculate a total throughput of the channel corresponding to each MCS combination according to a value of a specific CQI parameter of the channel measured and returned by a receiving side;

and the data interaction unit is used for informing the receiver of the precoding matrix combination and the MCS combination corresponding to the maximum total throughput in all total throughputs corresponding to all the selected precoding matrix combinations.

6. The wireless communication device of claim 5,

the preprocessing unit is further configured to: establishing indexes for all MCS combinations corresponding to the number of each rank;

the pre-storing unit is further configured to: the number of each rank, all MCS combinations corresponding to all ranks in the number and indexes established for all MCS combinations are stored in an associated manner, wherein the number of each rank, all MCS combinations corresponding to all ranks in the number and indexes established for all MCS combinations are also stored in an associated manner by the receiving side; and

the data interaction unit is further configured to: and sending the index of the precoding matrix combination and the index of the MCS combination corresponding to the maximum total throughput to the receiving side.

7. The wireless communication device of claim 6,

the preprocessing unit is further configured to: predetermining the throughput of any subchannel obtained after the weighting processing corresponding to each condition combination composed of different MCS and different values of specific CQI parameters;

the pre-storing unit is further configured to: storing each condition combination and corresponding throughput in a correlation manner;

the throughput calculation unit is to: and determining the value of the specific CQI parameter corresponding to each subchannel after the channel is weighted by adopting the currently selected precoding matrix combination according to the value of the specific CQI parameter of the channel, searching the associated and stored throughput according to the currently selected MCS combination, and calculating the total throughput of the channel according to the throughputs corresponding to all the subchannels.

8. The wireless communication device according to any of claims 5 to 7, wherein the specific CQI parameter comprises: signal to noise ratio, signal to interference plus noise ratio, and/or signal to noise distortion ratio.

9. The wireless communication device according to any of claims 5 to 7, wherein the wireless communication device is a base station and the receiving side is a terminal;

and/or the wireless communication equipment is a terminal, and the receiving party is a base station.

10. A wireless communication system, comprising a wireless communication device according to any of claims 5-9.