CN104253639A - Channel quality indicator acquisition method and device - Google Patents
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Abstract
An embodiment of the invention provides a channel quality indicator acquisition method and device. The method includes: acquiring a first SINR (signal to interference and noise ratio) according to a special pilot frequency of UE (user equipment), and acquiring a second SINR according to a CSI-RS (channel state indicator-reference signal); determining a weighting coefficient alpha according to a scheduling type, weighting the first SINR and the second SINR via the weighting coefficient, and acquiring a weighted SINR; quantifying the weighted SINR and using a quantification result as a CQI (channel quality indicator). According to the method, the first SINR is acquired according to the special pilot frequency of the UE, the second SINR is acquired according to the CSI-RS, the weighting coefficient is determined according to the scheduling type, the first SINR and the second SINR are weighted via the weighting coefficient to acquire the weighted SINR, the CQI is finally acquired by quantification; namely, the accurate CQI is acquired by means of weighting; accordingly, system throughput and spectral efficiency can be improved.
Description
Technical field
The embodiment of the present invention relates to communication technical field, particularly relates to a kind of method and the device that obtain channel quality instruction.
Background technology
Multiple-input and multiple-output (Multiple Input Multiple Output is called for short MIMO) system has become the key technology in future broadband wireless communication systems.Under identical networking, multiple cell mimo system can produce co-channel interference (Co-Channel Interference is called for short CCI), and CCI can seriously undermine the high spectrum utilization that MIMO technology is brought.Cooperative multipoint transmission (Coordinated Multi-point, being called for short CoMP) technology is by the associating precoding of multiple base station, significantly reduce the impact of presence of intercell interference edge user performance, make multiple cell cellular mimo system become noise limited system from interference limiting system.A kind of new technology that current CoMP has been widely regarded as effectively can be reduced presence of intercell interference, improve the performance of edge customer.
In a cellular communication system, the signal quality that subscriber equipment (User Equipment is called for short UE) receives depends on the channel quality of Serving cell, the interference strength of other communities and noise intensity.For specific through-put power, in order to optimization system capacity and coverage, along with received signal quality change, transmitter (referring to the transmitter of base station) should mate the information data rate of each user as possible, is commonly called link circuit self-adapting.UE, by the test to downlink received signal quality, obtains channel quality instruction (Channel Quality Indicator is called for short CQI) and feeds back to transmitting terminal carrying out adaptive scheduling.Descending CQI can calculate according to cell reference signals (Cell-Specific Reference Singals the is called for short CRS) quality of reception.And at Long Term Evolution (Long Term Evolution, be called for short LTE) evolution (LTE-Advanced, be called for short LTE-A) in introduce channel condition information (Channel State Information, be called for short CSI) reference signal (CSI reference signal, be called for short CSI-RS), the channel conditions of each cooperative base station under UE can obtain CoMP by CSI-RS, and calculate CQI feedback under CoMP to base station to support the adaptive scheduling under CoMP according to CSI-RS.
In prior art, calculate that descending CQI mainly calculates according to the CRS quality of reception or the CSI-RS quality of reception, the CQI calculated like this is inaccurate, and then can be unfavorable for the raising of cell throughout under CoMP.
Summary of the invention
The embodiment of the present invention provides a kind of method and the device that obtain channel quality instruction, calculates the inaccurate problem of CQI to solve in prior art.
Embodiment of the present invention first aspect provides a kind of method obtaining channel quality instruction, comprising:
Obtain the first Signal Interference and Noise Ratio SINR according to user equipment (UE) dedicated pilot, and obtain the 2nd SINR according to channel state information reference signals CSI-RS;
According to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and described 2nd SINR, obtain the SINR after weighting;
SINR after described weighting is quantized, and using the result after quantification as channel quality indicator (CQI).
In conjunction with first aspect, in the first possible execution mode of first aspect, described according to CSI-RS acquisition the 2nd SINR, comprising:
Initial 2nd SINR is calculated according to CSI-RS;
Obtain channel estimation value according to CSI-RS, and obtain beam shaping vector matrix according to described channel estimation value;
Adopt described beam shaping vector matrix to carry out beam shaping gain compensation to described initial 2nd SINR, obtain described 2nd SINR.
In conjunction with the first possible execution mode of first aspect, in the execution mode that the second of first aspect is possible, described scheduling type is semi-persistent scheduling; Correspondingly,
Described according to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and described 2nd SINR, obtain the SINR after weighting, comprising:
Determine that described weight coefficient α is preset value;
SINR after adopting formula (1-α) * Csi_Rs_Sinr+ α * Dmrs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents that described 2nd SINR, Dmrs_Sinr represents a described SINR.
In conjunction with the first possible execution mode of first aspect, in the third possible execution mode of first aspect, described scheduling type is dynamic dispatching; Correspondingly,
Described according to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and the 2nd SINR, obtain the SINR after weighting, comprising:
Determine that described weight coefficient α is the ratio of a described SINR and described 2nd SINR;
SINR after adopting formula α * Csi_Rs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents described 2nd SINR.
Embodiment of the present invention second aspect provides a kind of device obtaining channel quality instruction, comprising:
Acquisition module, for obtaining the first Signal Interference and Noise Ratio SINR according to user equipment (UE) dedicated pilot, and obtains the 2nd SINR according to channel state information reference signals CSI-RS;
Weighting block, for according to scheduling type determination weight coefficient α, and adopts described weight coefficient to be weighted a described SINR and described 2nd SINR, obtains the SINR after weighting;
Quantization modules, for quantizing the SINR after described weighting, and using the result after quantification as channel quality indicator (CQI).
In conjunction with second aspect, in the first possible execution mode of second aspect, described acquisition module, specifically for calculating initial 2nd SINR according to CSI-RS; Obtain channel estimation value according to CSI-RS, and obtain beam shaping vector matrix according to described channel estimation value; Adopt described beam shaping vector matrix to carry out beam shaping gain compensation to described initial 2nd SINR, obtain described 2nd SINR.
In conjunction with the first possible execution mode of second aspect, in the execution mode that the second of second aspect is possible, described weighting block, specifically for when described scheduling type is semi-persistent scheduling, determines that described weight coefficient α is preset value; SINR after adopting formula (1-α) * Csi_Rs_Sinr+ α * Dmrs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents that described 2nd SINR, Dmrs_Sinr represents a described SINR.
In conjunction with the first possible execution mode of second aspect, in the third possible execution mode of second aspect, described weighting block, specifically for when described scheduling type is dynamic dispatching, determines that described weight coefficient α is the ratio of a described SINR and described 2nd SINR; SINR after adopting formula α * Csi_Rs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents described 2nd SINR.
In the embodiment of the present invention, a SINR is obtained according to UE dedicated pilot, and obtain the 2nd SINR according to CSI-RS, and according to scheduling type determination weight coefficient, adopt weight coefficient to be weighted process to an above-mentioned SINR and the 2nd SINR and obtain the SINR after weighting, finally quantize to obtain CQI, namely get accurate CQI by the mode of weighting process, and then also can improve system throughput and the availability of frequency spectrum.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the embodiment of the method one of acquisition channel quality provided by the invention instruction;
Fig. 2 is the schematic flow sheet of the embodiment of the method two of acquisition channel quality provided by the invention instruction;
Fig. 3 is the structural representation of the device embodiment one of acquisition channel quality provided by the invention instruction.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
In the embodiment of the present invention, * represents multiplication sign.
Fig. 1 is the schematic flow sheet of the embodiment of the method one of acquisition channel quality provided by the invention instruction, and as shown in Figure 1, the method comprises:
S101, obtain a SINR according to UE dedicated pilot (UE-Specific Reference Singals is mainly used in data demodulates (demodulation), is designated as DMRS in literary composition), be designated as Dmrs_Sinr; And obtain the 2nd SINR according to CSI-RS.2nd SINR is the SINR after carrying out beam shaping gain compensation.The concrete process obtaining SINR that calculates can adopt existing method.
Transmitting terminal (can be base station) is obtaining in the descending channel information situation that different transmit antennas experiences and can provide beam shaping, namely on the direction of intended recipient end (can be UE), a main aerial wave beam is formed, mimo channel is divided into many walking abreast and does not have noisy subchannel, optimum Single User MIMO (Single User MIMO is realized to reach, be called for short SU-MIMO) and the multiplexing object of multiuser MIMO (Multiple User MIMO, abbreviation MU-MIMO).Because transmitting terminal adopts the mode of non-codebook precoding when beam shaping, UE dedicated pilot is introduced in agreement, receiving terminal can reflect based on the channel estimating of UE dedicated pilot the channel that data transfer layer experiences, comprise precoding, the precoding that thus transmission of UE dedicated pilot allows receiving terminal clearly need not know that transmitting terminal adopts just can be separated to be in harmonious proportion and be recovered transport layer data.
S102, according to scheduling type determination weight coefficient α, and adopt this weight coefficient α to be weighted an above-mentioned SINR and the 2nd SINR, obtain the SINR after weighting, be designated as Sinr '.
In specific implementation process, scheduling type may be semi-persistent scheduling, and the frequency domain resource that user is assigned to when semi-persistent scheduling keeps identical in a period of time.This scheduling type also may be dynamic dispatching.
S103, the SINR after above-mentioned weighting to be quantized, and using the result after quantizing as CQI.Quantize the process specifically referring to the continuous value (or discrete value possible in a large number) of signal to be approximately limited multiple (or less) centrifugal pump.The SINR within the scope of certain is classified as a fixing value in the embodiment of the present invention.
In prior art, UE calculates CQI according to CRS or the CSI-RS quality of reception, specifically UE calculates the received power of reference signal and corresponding noise at reference signal place time-frequency location, finally obtain descending CQI, namely UE just feeds back the information observed directly, and without the process of corresponding transmitting terminal or receiving terminal, the CQI obtained like this will inaccuracy.
In the present embodiment, a SINR is obtained according to DMRS, and obtain the 2nd SINR according to CSI-RS, and according to scheduling type determination weight coefficient, adopt weight coefficient to be weighted process to an above-mentioned SINR and the 2nd SINR and obtain the SINR after weighting, finally quantize to obtain CQI, namely get accurate CQI by the mode of weighting process, and then improve system throughput and the availability of frequency spectrum.
Fig. 2 is the schematic flow sheet of the embodiment of the method two of acquisition channel quality provided by the invention instruction, and above-mentioned 2nd SINR is the SINR after carrying out beam shaping gain compensation, and particularly, the above-mentioned process according to CSI-RS acquisition the 2nd SINR can be:
S201, according to CSI-RS calculate initial 2nd SINR, be designated as Csi_Rs_Sinr '.
S202, obtain channel estimation value according to CSI-RS, and obtain beam shaping vector matrix according to this channel estimation value.
Particularly, UE, by obtaining channel estimation value to the estimation of CSI-RS, supposes that this channel estimation value is H, calculates H
h* the value of H, wherein H
hrefer to hermitian (Hermitian) computing to H, and to H
h* the result of calculation of H carries out singular value decomposition (Singular value decomposition is called for short SVD), can adopt formula H
h* H=U* Σ * V
hcarry out SVD, the row vector wherein in U is H
h* the left singular vector of H, the column vector in V is H
h* the right singular vector of H, Σ is H
h* the singular value of H.When the independent data flow amount simultaneously sent in base station is one, in Σ, choose maximum singular value, in V, choose the column vector corresponding with this maximum singular value form beam shaping vector matrix v; When the independent data flow amount simultaneously sent in base station is two stream, in Σ, chooses maximum and secondary large singular value, in V, choose column vector corresponding to maximum with this and secondary large singular value form beam shaping vector matrix v.
S203, adopt above-mentioned beam shaping vector matrix v to carry out beam shaping gain compensation to above-mentioned initial 2nd SINR, obtain above-mentioned 2nd SINR, be designated as Csi_Rs_Sinr.
Particularly, Csi_Rs_Sinr=Csi_Rs_Sinr ' * v
h* v, wherein v
hfor the Hermitian computing of v.
In prior art, under CoMP, cooperative base station has carried out the beam shaping operation of non-codebook precoding to the business datum of each user, and CSI-RS maps directly to corresponding antenna port launches, do not do corresponding beam shaping precoding at transmitting terminal, therefore receiving terminal does not comprise by the CQI that CSI-RS calculates the gain effect that beam shaping brings, if directly select the CQI that CSI-RS measurement obtains, can cause that CQI's is inaccurate, and then be unfavorable for the raising of cell throughout under CoMP.
Relative to prior art, in the present embodiment, the SINR calculated according to CSI-RS is carried out beam shaping gain compensation, the CQI that subsequent calculations can be made to obtain is more accurate.
Further, for differently scheduling type, the weight coefficient adopted is different.In the first situation, the scheduling type of employing is semi-persistent scheduling, and in this case, weight coefficient α can be fixed value.Particularly, above-mentioned according to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and described 2nd SINR, obtain the SINR after weighting, can be: determine that weight coefficient α is preset value, and then the SINR after adopting formula (1-α) * Csi_Rs_Sinr+ α * Dmrs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents that described 2nd SINR, Dmrs_Sinr represents a described SINR.And then obtain final CQI further.Here the preset value of α can set according to simulation result.
In the second situation, the scheduling type adopted is dynamic dispatching, in this case, above-mentioned according to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and described 2nd SINR, obtain the SINR after weighting, Ke Yiwei: determine that weight coefficient α is the ratio of a SINR and the 2nd SINR, i.e. α=Dmrs_Sinr/Csi_Rs_Sinr; Then the SINR after adopting formula α * Csi_Rs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents that the 2nd SINR, Dmrs_Sinr represents a described SINR.And then obtain final CQI further.
Fig. 3 is the structural representation of the device embodiment one of acquisition channel quality provided by the invention instruction, and this device can be integrated in UE, and as shown in Figure 3, this device comprises: acquisition module 301, weighting block 302 and quantization modules 303, wherein:
Acquisition module 301 obtains the first Signal Interference and Noise Ratio SINR according to user equipment (UE) dedicated pilot, and obtains the 2nd SINR according to channel state information reference signals CSI-RS.Weighting block 302 according to scheduling type determination weight coefficient α, and adopts described weight coefficient to be weighted a described SINR and described 2nd SINR, obtains the SINR after weighting.SINR after described weighting quantizes by quantization modules 303, and using the result after quantification as channel quality indicator (CQI).
Above-mentioned each module is for performing preceding method embodiment, and it realizes principle and technique effect is similar, does not repeat them here.
Further, on the basis of above-described embodiment, above-mentioned acquisition module 301, specifically for calculating initial 2nd SINR according to CSI-RS; Obtain channel estimation value according to CSI-RS, and obtain beam shaping vector matrix according to described channel estimation value; Adopt described beam shaping vector matrix to carry out beam shaping gain compensation to described initial 2nd SINR, obtain described 2nd SINR.
In a kind of situation, above-mentioned weighting block 302, specifically for when described scheduling type is semi-persistent scheduling, determines that described weight coefficient α is preset value; SINR after adopting formula (1-α) * Csi_Rs_Sinr+ α * Dmrs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents that described 2nd SINR, Dmrs_Sinr represents a described SINR.
In another kind of situation, above-mentioned weighting block 302, specifically for when described scheduling type is dynamic dispatching, determines that described weight coefficient α is the ratio of a described SINR and described 2nd SINR; SINR after adopting formula α * Csi_Rs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents described 2nd SINR.
Above-mentioned each module is for performing preceding method embodiment, and it realizes principle and technique effect is similar, does not repeat them here.
Another embodiment of the present invention also provides a kind of device obtaining channel quality instruction, comprise processor, particularly, this processor is used for obtaining the first Signal Interference and Noise Ratio SINR according to user equipment (UE) dedicated pilot, and obtains the 2nd SINR according to channel state information reference signals CSI-RS; According to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and described 2nd SINR, obtain the SINR after weighting; SINR after described weighting is quantized, and using the result after quantification as channel quality indicator (CQI).
Further, this processor is specifically for calculating initial 2nd SINR according to CSI-RS; Obtain channel estimation value according to CSI-RS, and obtain beam shaping vector matrix according to described channel estimation value; Adopt described beam shaping vector matrix to carry out beam shaping gain compensation to described initial 2nd SINR, obtain described 2nd SINR.
On the basis of above-described embodiment, in a kind of situation, this processor, specifically for when described scheduling type is semi-persistent scheduling, determines that described weight coefficient α is preset value; SINR after adopting formula (1-α) * Csi_Rs_Sinr+ α * Dmrs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents that described 2nd SINR, Dmrs_Sinr represents a described SINR.
In another kind of situation, this processor, specifically for when described scheduling type is dynamic dispatching, determines that described weight coefficient α is the ratio of a described SINR and described 2nd SINR; SINR after adopting formula α * Csi_Rs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents described 2nd SINR.
This device is for performing preceding method embodiment, and it realizes principle and technique effect is similar, does not repeat them here.
In several embodiment provided by the present invention, should be understood that, disclosed apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form that hardware also can be adopted to add SFU software functional unit realizes.
The above-mentioned integrated unit realized with the form of SFU software functional unit, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform the part steps of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. various can be program code stored medium.
Those skilled in the art can be well understood to, for convenience and simplicity of description, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, internal structure by device is divided into different functional modules, to complete all or part of function described above.The specific works process of the device of foregoing description, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
Last it is noted that above each embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to foregoing embodiments to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein some or all of technical characteristic; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (8)
1. obtain a method for channel quality instruction, it is characterized in that, comprising:
Obtain the first Signal Interference and Noise Ratio SINR according to user equipment (UE) dedicated pilot, and obtain the 2nd SINR according to channel state information reference signals CSI-RS;
According to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and described 2nd SINR, obtain the SINR after weighting;
SINR after described weighting is quantized, and using the result after quantification as channel quality indicator (CQI).
2. method according to claim 1, is characterized in that, described according to CSI-RS acquisition the 2nd SINR, comprising:
Initial 2nd SINR is calculated according to CSI-RS;
Obtain channel estimation value according to CSI-RS, and obtain beam shaping vector matrix according to described channel estimation value;
Adopt described beam shaping vector matrix to carry out beam shaping gain compensation to described initial 2nd SINR, obtain described 2nd SINR.
3. method according to claim 2, is characterized in that, described scheduling type is semi-persistent scheduling; Correspondingly,
Described according to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and described 2nd SINR, obtain the SINR after weighting, comprising:
Determine that described weight coefficient α is preset value;
SINR after adopting formula (1-α) * Csi_Rs_Sinr+ α * Dmrs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents that described 2nd SINR, Dmrs_Sinr represents a described SINR.
4. method according to claim 2, is characterized in that, described scheduling type is dynamic dispatching; Correspondingly,
Described according to scheduling type determination weight coefficient α, and adopt described weight coefficient to be weighted a described SINR and the 2nd SINR, obtain the SINR after weighting, comprising:
Determine that described weight coefficient α is the ratio of a described SINR and described 2nd SINR;
SINR after adopting formula α * Csi_Rs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents described 2nd SINR.
5. obtain a device for channel quality instruction, it is characterized in that, comprising:
Acquisition module, for obtaining the first Signal Interference and Noise Ratio SINR according to user equipment (UE) dedicated pilot, and obtains the 2nd SINR according to channel state information reference signals CSI-RS;
Weighting block, for according to scheduling type determination weight coefficient α, and adopts described weight coefficient to be weighted a described SINR and described 2nd SINR, obtains the SINR after weighting;
Quantization modules, for quantizing the SINR after described weighting, and using the result after quantification as channel quality indicator (CQI).
6. device according to claim 5, is characterized in that, described acquisition module, specifically for calculating initial 2nd SINR according to CSI-RS; Obtain channel estimation value according to CSI-RS, and obtain beam shaping vector matrix according to described channel estimation value; Adopt described beam shaping vector matrix to carry out beam shaping gain compensation to described initial 2nd SINR, obtain described 2nd SINR.
7. device according to claim 6, is characterized in that, described weighting block, specifically for when described scheduling type is semi-persistent scheduling, determines that described weight coefficient α is preset value; SINR after adopting formula (1-α) * Csi_Rs_Sinr+ α * Dmrs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents that described 2nd SINR, Dmrs_Sinr represents a described SINR.
8. device according to claim 6, is characterized in that, described weighting block, specifically for when described scheduling type is dynamic dispatching, determines that described weight coefficient α is the ratio of a described SINR and described 2nd SINR; SINR after adopting formula α * Csi_Rs_Sinr to calculate weighting, wherein Csi_Rs_Sinr represents described 2nd SINR.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016161919A1 (en) * | 2015-04-10 | 2016-10-13 | 华为技术有限公司 | Csi measurement and feedback method and device |
| CN108631847A (en) * | 2017-03-24 | 2018-10-09 | 华为技术有限公司 | Method, terminal device and the network equipment of transmitting channel state information |
| CN110753353A (en) * | 2019-09-17 | 2020-02-04 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| WO2021080720A1 (en) * | 2019-10-24 | 2021-04-29 | Qualcomm Incorporated | Channel state information computation delay determination for layer 1 signal to interference plus noise ratio reporting |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110188587A1 (en) * | 2009-08-17 | 2011-08-04 | Qualcomm Incorporated | Mimo related signaling in wireless communication |
| CN102377698A (en) * | 2010-08-11 | 2012-03-14 | 华为技术有限公司 | Signal to interference and noise ratio measuring method and apparatus thereof |
| CN102714564A (en) * | 2010-01-05 | 2012-10-03 | 株式会社Ntt都科摩 | Radio base station apparatuses, mobile terminal apparatuses and wireless communication method |
| US20120263068A1 (en) * | 2010-01-07 | 2012-10-18 | Ntt Docomo, Inc. | Mobile terminal apparatus, radio base station apparatus and radio communication method |
-
2013
- 2013-06-28 CN CN201310268911.8A patent/CN104253639B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110188587A1 (en) * | 2009-08-17 | 2011-08-04 | Qualcomm Incorporated | Mimo related signaling in wireless communication |
| CN102714564A (en) * | 2010-01-05 | 2012-10-03 | 株式会社Ntt都科摩 | Radio base station apparatuses, mobile terminal apparatuses and wireless communication method |
| US20120263068A1 (en) * | 2010-01-07 | 2012-10-18 | Ntt Docomo, Inc. | Mobile terminal apparatus, radio base station apparatus and radio communication method |
| CN102377698A (en) * | 2010-08-11 | 2012-03-14 | 华为技术有限公司 | Signal to interference and noise ratio measuring method and apparatus thereof |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016161919A1 (en) * | 2015-04-10 | 2016-10-13 | 华为技术有限公司 | Csi measurement and feedback method and device |
| CN106537974A (en) * | 2015-04-10 | 2017-03-22 | 华为技术有限公司 | Csi measurement and feedback method and device |
| US10505694B2 (en) | 2015-04-10 | 2019-12-10 | Huawei Technologies Co., Ltd. | CSI measurement and feedback method, and device |
| CN106537974B (en) * | 2015-04-10 | 2020-03-10 | 华为技术有限公司 | CSI measurement and feedback method and equipment |
| CN108631847A (en) * | 2017-03-24 | 2018-10-09 | 华为技术有限公司 | Method, terminal device and the network equipment of transmitting channel state information |
| US11101955B2 (en) | 2017-03-24 | 2021-08-24 | Huawei Technologies Co., Ltd. | Channel state information transmission method, terminal device, and network device |
| CN110753353A (en) * | 2019-09-17 | 2020-02-04 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN110753353B (en) * | 2019-09-17 | 2022-06-07 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| WO2021080720A1 (en) * | 2019-10-24 | 2021-04-29 | Qualcomm Incorporated | Channel state information computation delay determination for layer 1 signal to interference plus noise ratio reporting |
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