CN102882653B - Channel quality indicator reporting method and user equipment - Google Patents

Abstract

The invention discloses a CQI reporting method and user equipment. The method includes: determining the predicted SNR value at the current moment according to the estimated SNR of the channel at the current moment and the estimated SNR of the channel at a moment before the current moment; obtaining the CQI at the current moment according to the predicted SNR value at the current moment; Report the CQI at the current moment to the base station. The CQI reporting method and user equipment of the embodiments of the present invention can make the reported CQI closer to the current actual channel quality by obtaining and reporting the CQI at the current time according to the SNR prediction value at the current time, thereby ensuring that the reported CQI is timely Reflect the fading characteristics of the current channel and improve the performance of the network.

Description

Method for reporting channel quality indication and user equipment

technical field

The present invention relates to the field of communications, and more particularly, to a method for reporting channel quality indicators and user equipment.

Background technique

In a High-Speed Packet Access (HSPA) network, channel quality indication (CQI) reporting is a key link in the High-Speed Downlink Packet Access (HSDPA) service. The CQI report Timeliness and accuracy directly affect the throughput performance of downlink services. Since CQI evaluation needs to sample a certain number of samples, and requires a certain amount of processing time in implementation, which brings delay in implementation, it is impossible to guarantee that the reported CQI can reflect the fading characteristics of the current channel in a timely manner, that is, the reported CQI and the current actual channel quality will be different. deviation.

Contents of the invention

Embodiments of the present invention provide a CQI reporting method and user equipment, which can ensure that the reported CQI reflects the fading characteristics of the current channel in time.

In the first aspect, a method for CQI reporting is provided, including: a signal-to-noise ratio (SNR) (Signal-to-Noise Ratio, signal-to-noise ratio) estimated according to the channel at the current moment and an estimated SNR of the channel at a moment before the current moment , determine the predicted SNR value at the current moment; acquire the CQI at the current moment according to the predicted SNR value at the current moment; report the CQI at the current moment to the base station.

In the first possible implementation manner, the SNR prediction value at the current moment is determined according to the signal-to-noise ratio SNR of the channel estimation at the current moment and the SNR of the channel estimation at the moment before the current moment, and the specific implementation is as follows: according to the current The SNR of the channel estimate at the moment and the SNR of the channel estimate at the moment before the current moment, determine the SNR correction difference at the current moment; SNR prediction value at the current moment.

In the second possible implementation manner, in combination with the first possible implementation manner of the first aspect, according to the SNR of the channel estimation at the current moment and the SNR of the channel estimation at the moment before the current moment, determine the SNR at the current moment The SNR correction difference is specifically implemented as follows: determine the SNR correction difference ΔSNR _i at the current moment according to the following equation, △SNR _i =(1-α)*△SNR _i-1 +α*(SNR _i -SNR _{i- 1} ), wherein, ΔSNR _i-1 is the SNR correction difference at the previous moment of the current moment, SNR _i is the estimated SNR of the channel at the current moment, and SNR _i-1 is the channel at the previous moment of the current moment Estimated SNR, α is the filter coefficient of SNR difference; According to the SNR of the channel estimation of this current moment and the SNR correction difference of this current moment, determine the SNR prediction value of this current moment, specifically realize as: according to the following equation to determine The predicted SNR value SNR _copm at the current moment, SNR _copm =SNR _i +γ*ΔSNR _i , where γ is a weighted compensation coefficient.

In the third possible implementation manner, in combination with the first aspect or the first or second possible implementation manner of the first aspect, the CQI at the current moment is obtained according to the SNR prediction value at the current moment, and the specific implementation is as : Determine the CQI corresponding to the SNR prediction value at the current moment in the SNR-CQI correspondence table as the CQI at the current moment.

In a second aspect, a user equipment is provided, including: a determination module configured to determine a predicted SNR value at the current moment based on the estimated SNR of the channel at the current moment and the estimated SNR of the channel at a moment before the current moment An acquisition module, configured to acquire the CQI at the current moment according to the predicted SNR value at the current moment determined by the determination module; a sending module, configured to report the CQI at the current moment acquired by the acquisition module to the base station.

In a first possible implementation manner, the determining module includes: a first determining unit, configured to determine the SNR at the current moment according to the estimated SNR of the channel at the current moment and the estimated SNR of the channel at a moment before the current moment A correction difference; a second determining unit, configured to determine the SNR prediction value at the current moment according to the channel estimated SNR at the current moment and the SNR correction difference at the current moment.

In a second possible implementation manner, in combination with the first possible implementation manner of the second aspect, the first determination unit is specifically configured to determine the SNR correction difference ΔSNR _i at the current moment, Δ SNR _i =(1-α)*△SNR _i-1 +α*(SNR _i -SNR _i-1 ), where △SNR _i-1 is the SNR correction difference at the previous moment at the current moment, and SNR _i is the SNR of the channel estimate at the current moment, SNR _i-1 is the SNR of the channel estimate at the previous moment of the current moment, and α is the filter coefficient of the SNR difference; the second determining unit is specifically used, according to the following equation The predicted SNR value SNR _copm at the current moment is determined, SNR _copm =SNR _i +γ*ΔSNR _i , where γ is a weighted compensation coefficient.

In a third possible implementation manner, in combination with the second aspect or the first or second possible implementation manner of the second aspect, the acquiring module is specifically configured to correspond the SNR prediction value at the current moment to the CQI The corresponding CQI in the relationship table is determined as the CQI at the current moment.

Based on the above technical solution, the CQI reporting method and the user equipment in the embodiment of the present invention determine the SNR prediction value at the current time according to the channel estimated SNR at the current time and the time before the current time, and then according to the SNR prediction value at the current time Obtaining the CQI at the current moment and reporting it can make the reported CQI closer to the current actual channel quality, thereby ensuring that the reported CQI can reflect the fading characteristics of the current channel in time and improve network performance.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required in the embodiments of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

Fig. 1 is a schematic flowchart of a method for reporting a CQI according to an embodiment of the present invention.

Fig. 2 is a schematic flowchart of a method for determining a predicted SNR value according to an embodiment of the present invention.

Fig. 3 is another schematic flowchart of a method for reporting a CQI according to an embodiment of the present invention.

Fig. 4 is a schematic diagram of an implementation circuit of the SNR prediction method according to an embodiment of the present invention.

Fig. 5 is a schematic block diagram of a user equipment according to an embodiment of the present invention.

Fig. 6 is a schematic block diagram of a determining module according to an embodiment of the present invention.

Fig. 7 is a schematic block diagram of user equipment according to another embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

It should be understood that the technical solutions of the embodiments of the present invention can be applied to various communication systems, such as: Global System of Mobile communication (Global System of Mobile communication, referred to as "GSM") system, Code Division Multiple Access (Code Division Multiple Access, referred to as "CDMA") system, Wideband Code Division Multiple Access (WCDMA for short) system, General Packet Radio Service (GPRS for short), Long Term Evolution (Long Term Evolution, Referred to as "LTE") system, LTE Frequency Division Duplex (Frequency Division Duplex, referred to as "FDD") system, LTE Time Division Duplex (Time Division Duplex, referred to as "TDD"), Universal Mobile Telecommunications System (Universal Mobile Telecommunication System, "UMTS" for short), Worldwide Interoperability for Microwave Access ("WiMAX" for short) communication system, etc.

It should also be understood that in this embodiment of the present invention, a user equipment (User Equipment, referred to as "UE") may be referred to as a terminal (Terminal), a mobile station (Mobile Station, referred to as "MS"), a mobile terminal (Mobile Terminal ), etc., the user equipment can communicate with one or more core networks via the radio access network (Radio Access Network, referred to as "RAN"), for example, the user equipment can be a mobile phone (or called a "cellular" phone), Computers with mobile terminals, etc., for example, user equipment can also be portable, pocket, hand-held, computer built-in or vehicle-mounted mobile devices, which exchange voice and/or data with the wireless access network.

In the embodiment of the present invention, the base station may be a base station (Base Transceiver Station, referred to as "BTS" for short) in GSM or CDMA, or a base station (NodeB, referred to as "NB") in WCDMA, or a base station in LTE. An evolved base station (Evolutional Node B, referred to as "ENB or e-NodeB") is not limited in the present invention. However, for the convenience of description, the following embodiments will be described by taking the base station ENB and the user equipment UE as examples.

Fig. 1 shows a schematic flow chart of a method 100 for CQI reporting according to an embodiment of the present invention. The method 100 is executed by the user equipment, as shown in FIG. 1, the method 100 includes:

S110, according to the signal-to-noise ratio SNR of the channel estimation at the current moment and the SNR of the channel estimation at the moment before the current moment, determine the SNR prediction value at the current moment;

S120. Acquire the CQI at the current moment according to the predicted SNR value at the current moment;

S130. Report the CQI at the current moment to the base station.

Since SNR calculation needs to count certain data samples, and receiver processing requires a certain delay, CQI reporting has a certain delay. In order to make the reported CQI closer to the current actual channel quality and ensure that the reported CQI reflects the fading characteristics of the current channel in a timely manner, the embodiment of the present invention corrects the SNR value by predicting the law of channel fading to obtain a fading situation closer to the current channel SNR prediction value of . After the user equipment obtains the channel estimated SNR at the current time through channel estimation, it determines the SNR prediction value at the current time according to the channel estimated SNR at the current time and the channel estimated SNR at the time before the current time, and then according to the SNR at the current time The predicted value is obtained by obtaining the CQI at the current moment, and reporting the CQI at the current moment to the base station. Since the current SNR prediction value is the result of correcting the current channel estimated SNR according to the SNR variation trend, the CQI obtained according to the current SNR prediction value is closer to the current channel condition.

Therefore, in the CQI reporting method of the embodiment of the present invention, the SNR prediction value at the current time is determined according to the SNR estimated by the channel at the current time and at the time before the current time, and then the CQI at the current time is obtained according to the SNR prediction value at the current time. Reporting can make the reported CQI closer to the current actual channel quality, thereby ensuring that the reported CQI can reflect the fading characteristics of the current channel in time and improve network performance.

In the embodiment of the present invention, as shown in FIG. 2, optionally, S110 includes:

S111. Determine the SNR correction difference at the current moment according to the estimated SNR of the channel at the current moment and the estimated SNR of the channel at a moment before the current moment;

S112. Determine a predicted SNR value at the current moment according to the channel estimated SNR at the current moment and the SNR correction difference at the current moment.

The user equipment calculates the energy of the signal and the noise through the channel estimation result, so as to obtain the SNR. After obtaining the estimated SNR of the channel at the current moment, the user equipment corrects the estimated SNR of the channel at the current moment, so as to obtain the predicted SNR at the current moment. The user equipment first determines the SNR correction difference at the current moment according to the channel estimated SNR at the current moment and the moment before the current moment, and then determines the SNR at the current moment according to the channel estimated SNR at the current moment and the SNR correction difference at the current moment Predictive value.

Optionally, S111 includes:

Determine the SNR correction difference ΔSNR _i at the current moment according to the following equation,

△SNR _i =(1-α)*△SNR _i-1 +α*(SNR _i -SNR _i-1 ) (1)

Among them, ΔSNR _i-1 is the SNR correction difference at the previous moment of the current moment, SNR _i is the SNR of the channel estimation at the current moment, and SNR _i-1 is the SNR of the channel estimation at the previous moment of the current moment, α is the filter coefficient of the SNR difference;

S 112 includes:

Determine the SNR prediction value SNR _copm at the current moment according to the following equation,

SNR _copm =SNR _i +γ*△SNR _i (2)

Among them, γ is the weighted compensation coefficient.

Specifically, the user equipment determines the SNR correction difference ΔSNR _i at the current moment according to equation (1). ΔSNR _i is determined by the SNR difference between the current moment and the previous moment (SNR _i -SNR _i-1 ) and the SNR correction difference ΔSNR _i-1 of the previous moment, and the value of ΔSNR _i is determined in combination with the filter coefficient α. Therefore, ΔSNR _i reflects the changing trend of SNR and reflects the law of channel fading. The user equipment then determines the predicted SNR value SNR _copm at the current moment according to equation (2). The SNR _copm is determined by the current SNR _i and the correction difference △SNR _i , and the weighted compensation coefficient γ is used to determine the value of the SNR _copm , that is, the user equipment corrects the SNR _i according to the current SNR correction difference ΔSNR _i , to obtain the predicted SNR value SNR _copm at the current moment. Because △SNR _i reflects the variation trend of SNR, therefore, considering the existence of time delay, the predicted value SNR _copm corrected by △SNR _i can better reflect the current channel condition.

Optionally, the coefficients α and γ can be adjusted according to the speed of channel changes, so as to achieve the purpose of adaptively obtaining more accurate prediction values.

In this way, the CQI reporting method of the embodiment of the present invention determines the SNR correction difference at the current moment based on the channel estimated SNR at the current moment and at moments before the current moment, and then obtains the SNR prediction value at the current moment by correcting the correction difference , and then obtain and report the CQI at the current moment according to the SNR prediction value at the current moment, which can make the reported CQI closer to the current actual channel quality, thereby ensuring that the reported CQI can reflect the fading characteristics of the current channel in time and improve network performance.

In S120, the user equipment acquires the CQI at the current moment according to the predicted SNR value at the current moment.

After obtaining the predicted SNR value at the current moment, the user equipment obtains the CQI at the current moment according to the predicted SNR value at the current moment, instead of obtaining the CQI directly from the SNR estimated by the channel. Optionally, the user equipment performs a CQI lookup table according to the predicted SNR value at the previous moment to obtain the CQI at the current moment, that is, the CQI corresponding to the predicted SNR value at the current moment in the SNR-CQI correspondence table is determined as The CQI at the current moment.

In S130, the user equipment reports the current CQI to the base station.

The user equipment reports the CQI at the current moment obtained from the SNR prediction value at the current moment to the base station. Because the SNR prediction value at the current moment is corrected according to the variation trend of the SNR, therefore, considering the existence of delay, the CQI obtained from the SNR prediction value at the current moment is closer to the current channel condition.

The following describes the embodiment of the present invention with reference to the example shown in FIG. 3 .

S301, channel estimation. The user equipment performs channel estimation according to the downlink reference signal.

S302, signal estimation. The user equipment calculates the energy of the signal according to the channel estimation result.

S303, noise estimation. The user equipment calculates the noise energy according to the channel estimation result.

S304, SNR calculation. According to the energy of the signal and noise calculated in S302 and S303, the user equipment calculates the signal-to-noise ratio SNR.

S305, SNR prediction. According to the SNR obtained by channel estimation, the user equipment obtains the predicted SNR value conforming to the SNR variation trend. For example, the predicted value of SNR is determined according to equations (1) and (2).

S306, look up the CQI table. The user equipment performs a CQI table lookup according to the predicted SNR value obtained in S305 to obtain the CQI.

S307, report the CQI. The user equipment reports the CQI obtained in S306 to the base station.

Fig. 4 is a schematic diagram of an implementation circuit of an SNR prediction method according to an embodiment of the present invention. It should be noted that FIG. 4 is only an example of an implementation circuit of the embodiment of the present invention, and does not limit the scope of the embodiment of the present invention. In FIG. 4, the delayers 401 and 402 latch the data samples at the previous moment. At the current moment (time i), the delayer 401 outputs the signal-to-noise ratio SNR _i-1 at the previous moment (time i-1), and the signal-to-noise ratio SNR _i at the current moment and the signal-to-noise ratio SNR _{i- 1} After being subtracted by the subtractor 403, then filtered by the multiplier 405, the output of the multiplier 405 is α*(SNR _i -SNR _i-1 ); the delayer 402 outputs the SNR correction difference ΔSNR _i-1 at the previous moment , ΔSNR _i-1 is output (1-α)*ΔSNR _i-1 after being filtered by the multiplier 404; the output (1-α)*ΔSNR _i-1 of the multiplier 404 and the output α*(SNR _i -1 of the multiplier 405 SNR _i-1 ) is added in the adder 406 to obtain the SNR correction difference ΔSNR _i at the current moment, and ΔSNR _i is weighted by the multiplier 407 to obtain γ*ΔSNR _i ; the SNR _i at the current moment and the output of the multiplier 407 γ*ΔSNR _i is added by the adder 408 to obtain the predicted SNR value SNR _copm at the current moment.

Therefore, in the CQI reporting method of the embodiment of the present invention, the SNR prediction value at the current time is determined according to the SNR estimated by the channel at the current time and at the time before the current time, and then the CQI at the current time is obtained according to the SNR prediction value at the current time. Reporting can make the reported CQI closer to the current actual channel quality, thereby ensuring that the reported CQI can reflect the fading characteristics of the current channel in time and improve network performance.

The method for CQI reporting according to the embodiment of the present invention is described in detail above with reference to FIG. 1 to FIG. 4 , and the user equipment according to the embodiment of the present invention will be described below in conjunction with FIG. 5 to FIG. 7 .

Fig. 5 shows a schematic block diagram of a user equipment 500 according to an embodiment of the present invention. As shown in FIG. 5, the user equipment 500 includes:

The determination module 510 is used to determine the SNR prediction value at the current moment according to the signal-to-noise ratio SNR of the channel estimation at the current moment and the SNR of the channel estimation at the moment before the current moment;

An acquisition module 520, configured to acquire the CQI at the current moment according to the SNR prediction value at the current moment determined by the determining module 510;

The sending module 530 is configured to report the CQI at the current moment acquired by the acquiring module 520 to the base station.

The user equipment in the embodiment of the present invention determines the SNR prediction value at the current time according to the channel estimated SNR at the current time and the time before the current time, and then obtains the CQI at the current time according to the SNR prediction value at the current time and reports it. The reported CQI is closer to the current actual channel quality, so that the reported CQI can be guaranteed to reflect the fading characteristics of the current channel in time, and the performance of the network can be improved.

In the embodiment of the present invention, as shown in FIG. 6, optionally, the determination module 510 includes:

The first determining unit 511 is configured to determine the SNR correction difference at the current moment according to the estimated SNR of the channel at the current moment and the estimated SNR of the channel at a moment before the current moment;

The second determining unit 512 is configured to determine the predicted SNR value at the current time according to the channel estimated SNR at the current time and the SNR correction difference at the current time.

Optionally, the first determining unit 511 is specifically configured to determine the SNR correction difference ΔSNR _i at the current moment according to the following equation,

△SNR _i =(1-α)*△SNR _i-1 +α*(SNR _i -SNR _i-1 ),

Among them, ΔSNR _i-1 is the SNR correction difference at the previous moment of the current moment, SNR _i is the SNR of the channel estimation at the current moment, and SNR _i-1 is the SNR of the channel estimation at the previous moment of the current moment, α is the filter coefficient of the SNR difference;

The second determining unit 512 is specifically configured to determine the predicted SNR value SNR _copm at the current moment according to the following equation,

SNR _copm =SNR _i +γ*△SNR _i ,

Among them, γ is the weighted compensation coefficient.

The user equipment in the embodiment of the present invention determines the SNR correction difference at the current time according to the channel estimated SNR at the current time and at the time before the current time, and then obtains the SNR prediction value at the current time by correcting the correction difference, and then according to the current The SNR prediction value at the time obtains the CQI at the current time and reports it, which can make the reported CQI closer to the current actual channel quality, thereby ensuring that the reported CQI can reflect the fading characteristics of the current channel in time and improve network performance.

In the embodiment of the present invention, optionally, the acquiring module 520 is specifically configured to determine, as the CQI at the current moment, the CQI corresponding to the predicted SNR value at the current moment in the SNR-CQI correspondence table.

The user equipment 500 according to the embodiment of the present invention may correspond to the user equipment in the CQI reporting method according to the embodiment of the present invention, and the above-mentioned and other operations and/or functions of each module in the user equipment 500 are respectively in order to realize the For the sake of brevity, the corresponding flow of each method in FIG. 4 will not be repeated here.

The user equipment in the embodiment of the present invention determines the SNR prediction value at the current time according to the channel estimated SNR at the current time and the time before the current time, and then obtains the CQI at the current time according to the SNR prediction value at the current time and reports it. The reported CQI is closer to the current actual channel quality, so that the reported CQI can be guaranteed to reflect the fading characteristics of the current channel in time, and the performance of the network can be improved.

Fig. 7 shows a schematic block diagram of a user equipment 700 according to another embodiment of the present invention. As shown in FIG. 7, the user equipment 700 includes:

The processor 710 is configured to determine the SNR prediction value at the current moment according to the signal-to-noise ratio SNR of the channel estimation at the current moment and the SNR of the channel estimation at the moment before the current moment, and obtain the SNR prediction value at the current moment according to the SNR prediction value at the current moment. CQI at the current moment;

The transmitter 720 is configured to report the CQI at the current moment to the base station.

The user equipment in the embodiment of the present invention determines the SNR prediction value at the current time according to the channel estimated SNR at the current time and the time before the current time, and then obtains the CQI at the current time according to the SNR prediction value at the current time and reports it. The reported CQI is closer to the current actual channel quality, so that the reported CQI can be guaranteed to reflect the fading characteristics of the current channel in time, and the performance of the network can be improved.

Optionally, the processor 710 is specifically configured to determine the SNR correction difference at the current moment according to the SNR of the channel estimate at the current moment and the SNR of the channel estimate at a moment before the current moment; The difference between the SNR at the current moment and the SNR correction at the current moment is used to determine the predicted SNR value at the current moment.

Optionally, the processor 710 is specifically configured to determine the SNR correction difference ΔSNR _i at the current moment according to the following equation,

△SNR _i =(1-α)*△SNR _i-1 +α*(SNR _i -SNR _i-1 ),

Among them, △SNR _i-1 is the SNR correction difference at the previous moment of the current moment, SNR _i is the SNR of the channel estimation at the current moment, and SNR _i-1 is the SNR of the channel estimation at the previous moment of the current moment , α is the filter coefficient of SNR difference;

The processor 710 is specifically configured to determine the predicted SNR value SNR _copm at the current moment according to the following equation,

SNR _copm =SNR _i +γ*△SNR _i ,

Among them, γ is the weighted compensation coefficient.

The user equipment in the embodiment of the present invention determines the SNR correction difference at the current time according to the channel estimated SNR at the current time and at the time before the current time, and then obtains the SNR prediction value at the current time by correcting the correction difference, and then according to the current The SNR prediction value at the time obtains the CQI at the current time and reports it, which can make the reported CQI closer to the current actual channel quality, thereby ensuring that the reported CQI can reflect the fading characteristics of the current channel in time and improve network performance.

Optionally, the processor 710 is specifically configured to determine the CQI corresponding to the SNR prediction value at the current moment in the SNR-CQI correspondence table as the CQI at the current moment.

The user equipment 700 according to the embodiment of the present invention may correspond to the user equipment in the CQI reporting method according to the embodiment of the present invention, and the above-mentioned and other operations and/or functions of each module in the user equipment 700 are respectively in order to realize the For the sake of brevity, the corresponding flow of each method in FIG. 4 will not be repeated here.

The user equipment in the embodiment of the present invention determines the SNR prediction value at the current time according to the channel estimated SNR at the current time and the time before the current time, and then obtains the CQI at the current time according to the SNR prediction value at the current time and reports it. The reported CQI is closer to the current actual channel quality, so that the reported CQI can be guaranteed to reflect the fading characteristics of the current channel in time, and the performance of the network can be improved.

It should be understood that in the embodiments of the present invention, the term "and/or" is only an association relationship describing associated objects, indicating that there may be three relationships. For example, A and/or B may mean that A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in this article generally indicates that the contextual objects are an "or" relationship.

Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the relationship between hardware and software Interchangeability. In the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may also be electrical, mechanical or other forms of connection.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of software products, and the computer software products are stored in a storage medium Among them, several instructions are included to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. .

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field can easily think of various equivalents within the technical scope disclosed in the present invention. Modifications or replacements shall all fall within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (4)

1. A method for channel quality indication CQI reporting, characterized in that, comprising: Determine the SNR prediction value at the current moment according to the signal-to-noise ratio SNR of the channel estimation at the current moment and the SNR of the channel estimation at the moment before the current moment; Acquiring the CQI at the current moment according to the predicted SNR value at the current moment; Reporting the CQI at the current moment to the base station; The determining the SNR prediction value at the current moment according to the signal-to-noise ratio SNR of the channel estimation at the current moment and the SNR of the channel estimation at the moment before the current moment includes: determining the SNR correction difference at the current moment according to the channel estimated SNR at the current moment and the channel estimated SNR at a moment before the current moment; Determine the SNR prediction value at the current moment according to the channel estimated SNR at the current moment and the SNR correction difference at the current moment; The determining the SNR correction difference at the current moment according to the estimated SNR of the channel at the current moment and the estimated SNR of the channel at a moment before the current moment includes: Determine the SNR correction difference ΔSNR _i at the current moment according to the following equation, ΔSNR _i =(1-α)*ΔSNR _i-1 +α*(SNR _i −SNR _i-1 ), Among them, ΔSNR _i-1 is the SNR correction difference at the previous moment of the current moment, SNR _i is the SNR of the channel estimation at the current moment, and SNR _i-1 is the channel estimation at the previous moment of the current moment The SNR of , α is the filter coefficient of SNR difference; The determining the SNR prediction value at the current moment according to the channel estimated SNR at the current moment and the SNR correction difference at the current moment includes: Determine the SNR prediction value SNR _copm at the current moment according to the following equation, SNR _copm =SNR _i +γ*ΔSNR _i , Among them, γ is the weighted compensation coefficient. 2. The method according to claim 1, wherein said obtaining the CQI at the current moment according to the predicted SNR at the current moment comprises: The CQI corresponding to the SNR prediction value at the current moment in the SNR-CQI correspondence table is determined as the CQI at the current moment. 3. A user equipment, characterized in that, comprising: A determining module, configured to determine the SNR prediction value at the current moment according to the signal-to-noise ratio SNR of the channel estimate at the current moment and the SNR of the channel estimate at a moment before the current moment; An acquiring module, configured to acquire the CQI at the current moment according to the predicted SNR value at the current moment determined by the determining module; A sending module, configured to report the CQI at the current moment acquired by the acquiring module to the base station; The determination module includes: A first determining unit, configured to determine the SNR correction difference at the current moment according to the channel estimated SNR at the current moment and the channel estimated SNR at a moment before the current moment; The second determination unit is configured to determine the SNR prediction value at the current moment according to the SNR estimated at the current moment and the SNR correction difference at the current moment; The first determination unit is specifically configured to determine the SNR correction difference ΔSNR _i at the current moment according to the following equation, ΔSNR _i =(1-α)*ΔSNR _i-1 +α*(SNR _i −SNR _i-1 ), Among them, ΔSNR _i-1 is the SNR correction difference at the previous moment of the current moment, SNR _i is the SNR of the channel estimation at the current moment, and SNR _i-1 is the channel estimation at the previous moment of the current moment The SNR of , α is the filter coefficient of SNR difference; The second determination unit is specifically configured to determine the SNR prediction value SNR _copm at the current moment according to the following equation, SNR _copm =SNR _i +γ*ΔSNR _i , Among them, γ is the weighted compensation coefficient. 4. The user equipment according to claim 3, wherein the obtaining module is specifically configured to determine the CQI corresponding to the SNR prediction value at the current moment in the SNR and CQI correspondence table as the current moment The CQI.