WO2015158105A1 - Procédé et appareil de sélection adaptative d'indicateur de qualité de canal, et support de stockage informatique - Google Patents

Procédé et appareil de sélection adaptative d'indicateur de qualité de canal, et support de stockage informatique Download PDF

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WO2015158105A1
WO2015158105A1 PCT/CN2014/086657 CN2014086657W WO2015158105A1 WO 2015158105 A1 WO2015158105 A1 WO 2015158105A1 CN 2014086657 W CN2014086657 W CN 2014086657W WO 2015158105 A1 WO2015158105 A1 WO 2015158105A1
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sinr
value
equivalent snr
snr
mean
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PCT/CN2014/086657
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Chinese (zh)
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黄梅莹
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深圳市中兴微电子技术有限公司
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes

Definitions

  • the present invention relates to a technique for acquiring channel quality indication (CQI) information in a Long Term Evolution (LTE) system and an LTE-A (Long Term Evolution Advance) system, and particularly relates to an adaptive method.
  • CQI channel quality indication
  • LTE Long Term Evolution
  • LTE-A Long Term Evolution Advance
  • the wireless communication channel is randomly variable with frequency selective and time varying characteristics. How to effectively utilize the variability of the channel, maximize the data transmission rate on a limited bandwidth, and maximize the spectrum utilization, become a research hotspot of mobile communication.
  • MCS Modulation and Coding Scheme
  • AMC Adaptive Modulation and Coding
  • the LTE/LTE-A system always wants the data rate to be transmitted to be consistent with the trend of channel change.
  • the channel conditions are poor (good), the smaller (large) modulation mode and code rate are selected. Therefore, the transmission capability of the wireless channel is utilized to the greatest extent; in the AMC implementation process, the system needs to set different data transmission MCS formats, and each MCS format corresponds to a combination of modulation order and coding rate.
  • the system Different MCSs are selected according to channel conditions to adapt to the effects of channel changes.
  • the LTE specification defines a combination of 16 modulation modes and code rates, each combination corresponding to one CQI value, and the UE obtains a Signal-to-Interference plus Noise Ratio (SINR) according to the currently received signal, and then The SINR is mapped to the CQI according to a certain rule, and is fed back to the evolved base station (eNodeB), and the eNode B is based on the user equipment (UE, User). Equipment) The recommended value reported, determines the size and modulation mode of the delivery block.
  • SINR Signal-to-Interference plus Noise Ratio
  • the SINR on each subcarrier is different, and the block error rate (BLER, Block) The Error Rate) is related not only to the average SINR over the entire bandwidth, but also to the distribution of the SINR on the subcarriers. For the same average SINR, the BLER corresponding to the average frequency domain distribution is relatively low.
  • OFDM Orthogonal Frequency Division Multiplexing
  • the equivalent SNR lookup SNR-CQI mapping table obtains the corresponding CQI value and reports it to the eNode B.
  • EMM Exponential Effective SINR Metric
  • MIESM Mutual Information Effective SINR Metric
  • N is the number of subcarriers used by the user
  • SINR k is the SINR on the kth subcarrier
  • is a calibration factor, which is used to adjust some way when the predicted BLER and the real BLER do not match
  • ⁇ It is related to the MCS used by the carrier.
  • the EESM basically uses the method of calibrating the average BER to count the SINR of each carrier, and gives the unified formula by the above formula.
  • the equivalent SNR value is a good feedback method. Better control of traffic.
  • Is the pth data symbol used in size The capacity function of the modulation symbol table; P u is the number of subcarriers; Yes The inverse of the function.
  • the definition is as follows:
  • X Collection of data symbols, Is a set of data symbols when i is equal to b; Y is a zero mean unit variance complex Gaussian variable, and the calibration factor ⁇ is a parameter related only to modulation coding mode (MCS).
  • MCS modulation coding mode
  • the above two methods for calculating the equivalent SNR need to determine the calibration factor ⁇ for the modulation and coding mode, and also need to perform exponential and logarithmic calculations. Therefore, the implementation complexity is high, and the antenna configuration is improved and the number of transmission signal layers is increased.
  • embodiments of the present invention are expected to provide a method and apparatus for adaptive CQI selection, which can solve the problem that accurate CQI information cannot be obtained in the transmission mode 9, and improve the system property. can.
  • a first aspect of the embodiments of the present invention provides a method for adaptive channel quality indication CQI selection, where the method includes:
  • the method further includes: acquiring an SINR mean value and a SINR variance corresponding to different MCSs;
  • the mean SINR is:
  • the SINR variance is:
  • the meanSINR m (i) and the varSINR m (i) are respectively the SINR mean and the SINR variance of the i-th subframe codeword m, and the SINR l, k, m is the SINR of the first layer of the codeword m on the subcarrier k,
  • N is the total number of SINRs of all layers of the codeword m.
  • the method further includes: determining, according to a simulation relationship curve of the SNR of the different MCS and the block error rate BLER, the SNR value when the BLER is equal to 0.1 in different MCSs, The SINR mean and the SINR variance corresponding to different MCSs are obtained based on the SNR points.
  • determining the equivalent SNR value corresponding to different MCS according to the relationship between the equivalent SNR and the SINR mean, the SINR variance, and the adjustment factor includes: according to the equivalent SNR and the SINR mean, the SINR variance, and the adjustment factor.
  • Relational effSNR m (i) meanSINR m (i)- ⁇ *varSINR m (i), determining equivalent SNR values corresponding to different MCSs; wherein effSNR m (i) is the i-th downlink subframe codeword m
  • the equivalent SNR value, ⁇ is the adjustment factor, and the adjustment factor is a simulated constant.
  • the obtaining the corresponding CQI value according to the equivalent SNR mean value and the mapping relationship table comprises: searching for the equivalent SNR mean value in the mapping relationship between the equivalent SNR value and the CQI according to the equivalent SNR mean value. Corresponding position, when the equivalent SNR average value is greater than or equal to the equivalent SNR value TM and less than or equal to the equivalent SNR value TN, determining the CQI value corresponding to the lower limit TM of the equivalent SNR mean value to be sent to the base station .
  • a second aspect of the embodiments of the present invention provides an apparatus for adaptive CQI selection, where the apparatus includes: an equivalent SNR acquisition module, a construction module, and a CQI selection module;
  • the equivalent SNR obtaining module is configured to determine an equivalent SNR value corresponding to different MCSs according to a relationship between an equivalent SNR and an SINR mean value, an SINR variance, and an adjustment factor, and determine each codeword in a specified bandwidth of the downlink subframe.
  • Equivalent SNR mean
  • the building module is configured to construct a mapping relationship table between the equivalent SNR value and the CQI;
  • the CQI selection module is configured to obtain a corresponding CQI value according to the equivalent SNR mean value and the mapping relationship table.
  • the building module is further configured to store a mapping relationship table between the equivalent SNR value and the CQI;
  • the equivalent SNR acquisition module is further configured to obtain an SINR mean value and a SINR variance corresponding to different MCSs, where
  • the meanSINR m (i) and the varSINR m (i) are respectively the SINR mean and the SINR variance of the i-th subframe codeword m, and the SINR l, k, m is the SINR of the first layer of the codeword m on the subcarrier k,
  • N is the total number of SINRs of all layers of the codeword m.
  • the equivalent SNR acquisition module further includes a processing unit configured to determine an SNR value when the BLER is equal to 0.1 in different MCSs according to the SNR of the different MCS and the simulation relationship of the BLER.
  • determining the equivalent SNR value corresponding to different MCS according to the relationship between the equivalent SNR and the SINR mean, the SINR variance, and the adjustment factor includes: according to the equivalent SNR and the SINR mean, the SINR variance, and the adjustment factor.
  • Relational effSNR m (i) meanSINR m (i)- ⁇ *varSINR m (i), determining equivalent SNR values corresponding to different MCSs; wherein effSNR m (i) is the i-th downlink subframe codeword m
  • the equivalent SNR value, ⁇ is the adjustment factor, and the adjustment factor is a simulated constant.
  • the obtaining the corresponding CQI value according to the equivalent SNR mean value and the mapping relationship table comprises: searching for the equivalent SNR mean value in the mapping relationship between the equivalent SNR value and the CQI according to the equivalent SNR mean value. Corresponding position, when the equivalent SNR average value is greater than or equal to the equivalent SNR value TM and less than or equal to the equivalent SNR value TN, determining the CQI value corresponding to the lower limit TM of the equivalent SNR mean value to be sent to the base station .
  • a third aspect of the present invention provides a computer storage medium, where the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute at least one of the methods of the first aspect of the embodiments of the present invention.
  • the method for adaptive CQI selection determines the equivalent SNR value of different MCS according to the relationship between the equivalent SNR and the SINR mean, the SINR variance and the adjustment factor, and constructs the equivalent SNR value and CQI. Mapping the relationship table, determining an equivalent SNR mean value of each codeword in the specified bandwidth of the downlink subframe, and obtaining a corresponding CQI value according to the equivalent SNR mean value and the mapping relationship table; thus, the LTE system can be solved in the transmission. Unable to get accurate CQI in mode 9
  • the problem of information; and the implementation of the embodiment of the present invention has low complexity and does not require complicated index or logarithm operation, and can be applied to LTE and LTE-A systems.
  • FIG. 1 is a schematic flowchart of a method for adaptive CQI selection according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of another method for adaptive CQI selection according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a device for adaptive CQI selection according to an embodiment of the present invention.
  • the equivalent SNR value corresponding to different MCSs is determined according to the relationship between the equivalent SNR and the SINR mean value, the SINR variance and the adjustment factor, and a mapping relationship between the equivalent SNR value and the CQI is constructed, and the downlink sub-determination is determined.
  • the frame specifies an equivalent SNR mean of each codeword in the bandwidth, and obtains a corresponding CQI value according to the equivalent SNR mean value and the mapping relationship table.
  • Y is the received signal
  • H is the channel matrix (the element h ij is the channel gain from the transmitting antenna j to the receiving antenna i)
  • W is the precoding matrix
  • S is the transmission signal
  • N is the Gaussian white noise
  • N Tx is the transmission
  • FIG. 1 is a schematic flowchart of a method for adaptive CQI selection according to an embodiment of the present invention. As shown in FIG. 1 , a method for adaptive CQI selection in this embodiment includes:
  • Step 101 According to the equivalent SNR and SINR mean, SINR variance and adjustment factor Relationship, determining the equivalent SNR value corresponding to different MCSs;
  • the 3GPP technical specification defines 16 MCS combination modes for the LTE system. For each MCS, a relationship between SNR and BLER can be simulated. According to the SNR of 16 different MCSs and the simulation relationship curve of BLER, 16 types can be determined. The SNR value corresponding to the maximum BLER allowed value in different MCSs (the 3GPP technical specification requires the maximum BLER to be less than or equal to 0.1), based on the SNR point, the SINR mean and SINR variance corresponding to different MCSs may be obtained;
  • the method further includes: obtaining an SINR mean value and a SINR variance corresponding to different MCSs, where
  • the meanSINR m (i) and the varSINR m (i) are respectively the SINR mean and the SINR variance of the i-th subframe codeword m, and the SINR l, k, m is the SINR of the first layer of the codeword m on the subcarrier k,
  • N is the total number of SINRs of all layers of the codeword m.
  • j takes two values of 0 and 2.
  • j takes two values of 1, 3; N Rx is the number of receiving antennas of the terminal, hi j, k, l represents the kth subcarrier on the 1st OFDM symbol
  • the channel estimate on the ij antenna pair, N 0 is the noise power.
  • the SINR of each layer of signals on subcarrier k is calculated according to the following equation:
  • W m is the N Tx ⁇ N L precoding matrix
  • H k is the N Rx ⁇ N Tx channel estimation value
  • I is the identity matrix
  • H is the conjugate transpose of the matrix
  • -1 is expressed
  • N L is the number of signal layers
  • SINR i,k is the SINR of the i- th layer signal on subcarrier k
  • the method further includes: determining an SNR value when the BLER is equal to 0.1 in different MCS according to the SNR of the different MCS and the simulation relationship of the BLER.
  • Step 102 Construct a mapping relationship table between the equivalent SNR value and the CQI;
  • the equivalent SNR value is an equivalent SNR value corresponding to 16 different MCSs in the 3GPP technical specification determined according to the relationship between the equivalent SNR and the SINR mean and the SINR variance and the adjustment factor;
  • Step 103 Determine an equivalent SNR mean value of each codeword in a specified bandwidth of the downlink subframe.
  • the specified bandwidth refers to a width or a sub-band specified in the protocol
  • the method specifically includes: calculating an SINR mean value and a SINR variance of each codeword in a specified bandwidth of the downlink subframe, and calculating an equivalent SNR value of each codeword in a specified bandwidth of the downlink subframe according to the SINR mean value and the SINR variance; Calculating an equivalent SNR mean value of each codeword in a specified bandwidth of the downlink subframe according to the equivalent SNR value;
  • the method of calculating the SINR mean value, the SINR variance, and the equivalent SNR value is the same as the calculation method described in step 101;
  • the downlink subframe i specifies the equivalent SNR mean of the codeword m in the bandwidth
  • the calculation method is: among them,
  • the ⁇ is a constant obtained by simulation;
  • effSNR m (i) is an equivalent SNR value calculated by the codeword m in the bandwidth specified by the downlink subframe i.
  • Step 104 Acquire a corresponding CQI value according to the equivalent SNR mean value and the mapping relationship table.
  • the step specifically includes: searching, according to the equivalent SNR mean, a corresponding position of the equivalent SNR average in the mapping relationship between the equivalent SNR value and the CQI, when the equivalent SNR mean value is greater than or equal to the equivalent SNR value TM, and is smaller than When the equivalent SNR value TN is equal, the CQI value corresponding to the lower limit TM of the equivalent SNR mean is determined to be a CQI value that needs to be sent to the base station.
  • FIG. 2 is a schematic flowchart of another method for adaptive CQI selection according to an embodiment of the present invention.
  • j takes 0 and 2 values, and SINR k, 1 is calculated.
  • j takes two values of 1, 3; N Rx is the number of receiving antennas of the terminal, and h ij, k, l represents the channel estimation value on the ij antenna pair of the kth subcarrier on the 1st OFDM symbol, and N 0 is Noise power.
  • the SINR of each layer of signals on subcarrier k is calculated according to the following equation:
  • W m is the N Tx ⁇ N L precoding matrix
  • H k is the N Rx ⁇ N Tx channel estimation value
  • I is the identity matrix
  • H is the conjugate transpose of the matrix
  • () -1 is expressed Find the inverse of the matrix.
  • N L is the number of signal layers
  • SINR i,k is the SINR of the i- th layer signal on subcarrier k
  • Step 203 Calculate different according to SINR on each subcarrier corresponding to the different MCS.
  • MCS corresponding SINR mean and SINR variance;
  • the meanSINR m (i) and the varSINR m (i) are respectively the SINR mean and the SINR variance of the i-th subframe codeword m, and the SINR l, k, m is the SINR of the first layer of the codeword m on the subcarrier k,
  • N is the total number of SINRs of all layers of the codeword m.
  • Step 204 Calculate an equivalent SNR value corresponding to different MCSs
  • the calculating the equivalent SNR value corresponding to different MCS includes: a relationship between the equivalent SNR value and the SINR mean value and the SINR variance and the adjustment factor:
  • the simulation calculates the equivalent SNR value corresponding to 16 different MCSs in the 3GPP technical specification; where effSNR m (i) is the equivalent SNR value of the i-th downlink subframe codeword m, ⁇ is the adjustment factor, and the adjustment factor A constant obtained for a simulation.
  • Step 205 Construct a mapping table of the equivalent SNR value and the CQI;
  • the equivalent SNR value is an equivalent SNR value corresponding to 16 MCSs in the 3GPP technical specification determined according to the relationship between the equivalent SNR and the SINR mean, the SINR variance, and the adjustment factor;
  • Step 206 Calculate an equivalent SNR average value of each codeword in a specified bandwidth of the downlink subframe.
  • the step specifically includes: calculating an SINR mean value of each codeword in a specified bandwidth of the downlink subframe. SINR variance, calculating an equivalent SNR value of each codeword in a specified bandwidth of the downlink subframe according to the SINR mean value and the SINR variance, and determining an equivalent SNR of each codeword in a specified bandwidth of the downlink subframe according to the equivalent SNR value.
  • the method for calculating the SINR mean value, the SINR variance, and the equivalent SNR value is the same as the calculation method in steps 203 and 204;
  • the downlink subframe i specifies the equivalent SNR mean of the codeword m in the bandwidth
  • the calculation method is: among them,
  • the ⁇ is a constant obtained by simulation;
  • effSNR m (i) is an equivalent SNR value calculated by the codeword m in the bandwidth specified by the downlink subframe i.
  • Step 207 Acquire a corresponding CQI value according to the equivalent SNR mean value and the mapping relationship table.
  • the step specifically includes: searching, according to the equivalent SNR mean, a corresponding position of the equivalent SNR average in the mapping relationship between the equivalent SNR value and the CQI, when the equivalent SNR mean value is greater than or equal to the equivalent SNR value TM, and is smaller than When the equivalent SNR value TN is equal, the CQI value corresponding to the lower limit TM of the equivalent SNR mean is determined to be a CQI value that needs to be sent to the base station.
  • the device structure of the adaptive CQI selection in this embodiment includes: an equivalent SNR acquiring module 31, a building module 32, and a CQI selecting module. 33; among them,
  • the equivalent SNR obtaining module 31 is configured to determine an equivalent SNR value corresponding to different MCSs according to the relationship between the equivalent SNR and the SINR mean value, the SINR variance, and the adjustment factor, and determine each code in the specified bandwidth of the downlink subframe.
  • the equivalent SNR mean of the word is configured to determine an equivalent SNR value corresponding to different MCSs according to the relationship between the equivalent SNR and the SINR mean value, the SINR variance, and the adjustment factor, and determine each code in the specified bandwidth of the downlink subframe.
  • the building module 32 is configured to construct a mapping relationship table between the equivalent SNR value and the CQI;
  • the CQI selection module 33 is configured to obtain a corresponding CQI value according to the equivalent SNR mean value and the mapping relationship table;
  • the 3GPP technical specification defines 16 MCS combination modes for the LTE system.
  • Each MCS can simulate a relationship between SNR and BLER.
  • the maximum BLER allowable value of 16 different MCSs can be determined.
  • the 3GPP technical specification requires that the maximum BLER be less than or equal to 0.1) corresponding SNR value, based on the SNR point, the SINR mean value and the SINR variance corresponding to different MCSs may be obtained;
  • the equivalent SNR obtaining module 31 determines, according to the relationship between the equivalent SNR and the SINR mean, the SINR variance, and the adjustment factor, the equivalent SNR values corresponding to different MCSs, including: the equivalent SNR and the SINR mean, the SINR variance, and the adjustment factor.
  • the equivalent SNR value of the word m, ⁇ is an adjustment factor, and the adjustment factor is a constant obtained by simulation;
  • the equivalent SNR value is an equivalent SNR value corresponding to 16 MCSs in the 3GPP technical specification determined according to the relationship between the equivalent SNR and the SINR mean, the SINR variance, and the adjustment factor; 16 types in the 3GPP technical specifications
  • the MCS combination mode can be represented by a CQI value of 0-15. Therefore, the constructing module 32 can establish a correspondence between the SNR value and the CQI value according to the obtained equivalent SNR value of the different MCS.
  • the equivalent SNR obtaining module 31 determines an equivalent SNR average value of each codeword in a specified bandwidth of the downlink subframe, where the equivalent SNR obtaining module 31 determines the downlink according to the equivalent SNR value of each codeword in the specified bandwidth of the downlink subframe.
  • the subframe specifies the equivalent SNR mean of each codeword within the bandwidth;
  • the downlink subframe i specifies the equivalent SNR mean of the codeword m in the bandwidth.
  • the calculation method is: among them,
  • the ⁇ is a constant obtained by simulation;
  • effSNR m (i) is an equivalent SNR value calculated by the codeword m in the bandwidth specified by the downlink subframe i;
  • the obtaining, by the CQI selection module 33, the corresponding CQI value according to the equivalent SNR average value and the mapping relationship table includes: the CQI selection module 33 searches the mapping table of the equivalent SNR value and the CQI according to the equivalent SNR average value.
  • the equivalent SNR average is at the corresponding position, when the equivalent SNR When the mean value is greater than or equal to the equivalent SNR value TM and less than or equal to the equivalent SNR value TN, it is determined that the CQI value corresponding to the lower limit TM of the equivalent SNR mean value is a CQI value that needs to be sent to the base station.
  • the building module 32 is further configured to store a mapping relationship table between the equivalent SNR value and the CQI;
  • the equivalent SNR obtaining module 31 is further configured to calculate an SINR on each subcarrier; the SINR calculation method on each subcarrier is divided into three types: a single transmit antenna port, a transmit diversity, and a space division multiplexing, which are specifically described below;
  • N Rx is the number of receiving antennas of the terminal
  • h ij,k,l represents the channel estimation value on the ij antenna pair of the kth subcarrier on the 1st OFDM symbol
  • N 0 is the noise power
  • SINR k,0 j takes two values of 0 and 2
  • SINR k,1 j takes two values of 1, 3
  • N Rx is the number of receiving antennas of the terminal
  • h ij, k, l represents the first The channel estimation value on the ij antenna pair of the kth subcarrier on the OFDM symbols
  • N 0 is the noise power.
  • the SINR of each layer of signals on subcarrier k is calculated according to the following equation:
  • W m is the N Tx ⁇ N L precoding matrix
  • H k is the N Rx ⁇ N Tx channel estimation value
  • I is the identity matrix
  • H is the conjugate transpose of the matrix
  • () -1 is expressed Find the inverse of the matrix.
  • N L is the number of signal layers
  • SINR i,k is the SINR of the i- th layer signal on subcarrier k
  • the equivalent SNR obtaining module 31 is further configured to obtain the SINR mean value and the SINR variance corresponding to different MCSs. Specifically, the equivalent SNR obtaining module 31 obtains the SINR mean value and the SINR variance corresponding to different MCSs by using the following formula. :
  • the meanSINR m (i) and the varSINR m (i) are respectively the SINR mean and the SINR variance of the i-th subframe codeword m, and the SINR l, k, m is the SINR of the first layer of the codeword m on the subcarrier k,
  • N is the total number of SINRs of all layers of the codeword m.
  • the equivalent SNR acquisition module 31 further includes a processing unit 311 configured to determine an SNR value when the BLER is equal to 0.1 in different MCS according to the SNR of the different MCS and the simulation relationship of the BLER;
  • the equivalent SNR acquisition module 31, the construction module 32, and the CQI selection module 33 may be implemented by software in a practical application process, or may be implemented by a single-chip computer or a field programmable gate array (Field Programmable Gate Array). , FPGA) or Digital Signal Processor (DSP) implementation.
  • FPGA Field Programmable Gate Array
  • DSP Digital Signal Processor
  • the embodiment of the present invention further describes a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are used in at least one of the methods of the embodiments of the present invention; And/or the method shown in Figure 2.
  • the computer storage medium may be a medium that can store program codes, such as a mobile storage device, a read-only memory (ROM), a magnetic disk, or an optical disk, and is preferably a non-transitory storage medium.

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Abstract

L'invention concerne un procédé de sélection adaptative d'indicateur de qualité de canal (CQI). Le procédé consiste : à déterminer des valeurs de rapport signal-bruit (SNR) équivalent correspondant à différents schémas de modulation et de codage (MCS) en fonction d'une relation entre un SNR équivalent et une valeur de rapport signal-bruit plus brouillage (SINR) moyen, une variance SINR et un facteur de réglage ; à construire une table de relations de mise en correspondance de valeurs de SNR équivalent et de CQI ; à déterminer une valeur de SNR moyen équivalent de chaque mot de code à l'intérieur d'une largeur de bande spécifiée de sous-trame de liaison descendante ; et à acquérir une valeur de CQI correspondante en fonction de la valeur de SNR moyen équivalent et de la table de relations de mise en correspondance. L'invention concerne également un appareil de sélection adaptative de CQI . L'invention concerne en outre un support de stockage informatique.
PCT/CN2014/086657 2014-04-18 2014-09-16 Procédé et appareil de sélection adaptative d'indicateur de qualité de canal, et support de stockage informatique WO2015158105A1 (fr)

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