Disclosure of Invention
The invention provides a self-adaptive modulation and coding method, access network equipment and a storage medium, so that a base station can quickly and accurately acquire an MCS index value suitable for an air interface state, and the transmission efficiency of a downlink is ensured.
In a first aspect, an embodiment of the present invention provides an adaptive modulation and coding method, where the method includes:
and simulating the transmission scheme corresponding to the CQI index table and the transmission scheme corresponding to the MCS index table to obtain a first mapping relation between SINR and BLER corresponding to the CQI index table and a second mapping relation between SINR and BLER corresponding to the MCS index table.
Counting CQI reporting period
The CQI index value in the reporting period is obtained according to the first mapping relation to obtain a first SINR value corresponding to the CQI index value in each reporting period
。
Counting the number of reporting periods
Uplink reference signal SINR value
Calculating the SINR deviation value of the uplink reference signal in two adjacent reporting periods
For the SINR deviation value
Normalization processing is carried out to obtain weight factors
a。
Statistical period
The BLER corresponding to the MCS index value used by the internal downlink transmission obtains a second SINR value corresponding to the MCS index value and the BLER according to the second mapping relation
。
Every other transmission in downlink
Period according to the first SINR value
The second SINR value
And the weight factor
aPerforming weighting calculation to obtain a third SINR value
。
According to the third SINR value
And searching the maximum value of the corresponding MCS index value in the second mapping relation, and performing data transmission by using a transmission scheme corresponding to the maximum value of the MCS index value.
Optionally, the uplink reference signal is an uplink sounding reference signal SRS, and the SINR deviation value in two adjacent reporting periods is calculated
The method comprises the following steps:
wherein the content of the first and second substances,
and
respectively corresponding to the statistical period
And
the value of the SINR of (1) is,
k>1,
kthe adjustment is made according to the application scenario of the base station,
nfor periods in which the base station fails to receive CQI reports
The number of the cells.
Optionally, for the SINR offset value
Performing normalization to obtain weight factor
aFurther comprising:
wherein the content of the first and second substances,
the maximum value of the SINR deviation value.
Optionally, according to the first SINR value
The second SINR value
And the weight factor
aPerforming weighting calculation to obtain a third SINR value
Further comprising:
third SINR value
The calculation formula of (a) is as follows:
optionally, the obtaining the first mapping relationship between the SINR and the BLER corresponding to the CQI index table includes:
when BLER =0.1, the first mapping relationship is a mapping relationship between a CQI index value and an SINR value.
Optionally, the step of calculating the third SINR value
Finding a maximum value of a corresponding MCS index value in the second mapping relationship further comprises:
according to BLER ≦ 0.1 and SINR =
Finding a set of MCS index values satisfying a condition, from the set of MCS index valuesThe maximum value of the MCS index value is found.
Optionally, the period
According to the statistical CQI reporting period
The CQI index value in the inner is adjusted.
Optionally, simulating a transmission scheme corresponding to the CQI index table and a transmission scheme corresponding to the MCS index table to obtain a first mapping relationship between SINR and BLER corresponding to the CQI index table and a second mapping relationship between SINR and BLER corresponding to the MCS index table includes:
and performing TDL simulation, CDL simulation and AWGN (additive white Gaussian noise) channel simulation on various transmission blocks of the NR system and transmission scheme combinations corresponding to the CQI index table respectively to correspondingly obtain three relation curves of SINR and BLER, and performing weighted calculation on the relation curves of the three CQIs, the SINR and the BLER to obtain the first mapping relation of the SINR and the BLER corresponding to the CQI index table.
And performing TDL simulation, CDL simulation and additive white Gaussian noise AWGN channel simulation on various transmission blocks of the NR system and transmission scheme combinations corresponding to the MCS index table respectively to obtain three relation curves of SINR and BLER, and performing weighted calculation on the relation curves of the three MCSs, the SINR and the BLER to obtain the second mapping relation of SINR and BLER corresponding to the MCS index table.
In a second aspect, an embodiment of the present invention further provides an access network device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor is configured to implement the adaptive modulation and coding method according to any one of the embodiments of the present invention when the computer program is executed.
In a third aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the adaptive modulation and coding method according to any one of the embodiments of the present invention.
The technical scheme of the invention is as follows: acquiring a first mapping relation between SINR and BLER corresponding to the CQI index value and a second mapping relation between SINR and BLER corresponding to the MCS index value, and counting the CQI index value in the CQI reporting period to acquire a corresponding first SINR value
And counting the SINR value of the uplink reference signal
Calculating the SINR deviation value in two adjacent reporting periods
To, for
Normalization processing is carried out to obtain weight factors
aCounting the period
BLER corresponding to the inner MCS index value, and a corresponding second SINR value is obtained
According to
、
、
aPerforming weighting calculation to obtain a third SINR value
According to
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And searching the corresponding MCS maximum value in the second mapping relation, wherein the MCS maximum value is the optimal MCS value. The invention maps the CQI index value into the SINR value to make the downlink error codeThe SINR value mapped by the rate BLER and the SINR change quantity obtained by the uplink reference signal in the CQI reporting period are jointly settled to obtain an accurate MCS index value, and the calculation process is simplified. The SINR mapped by the downlink BLER is introduced, so that the base station can estimate the complex and changeable channel environment more accurately, the MCS index value suitable for the air interface state can be rapidly and accurately acquired, and the transmission efficiency of the downlink is ensured. The variation of the uplink channel SINR is introduced as a weight factor, so that the smoothness and accuracy of the transmission process are improved, and the processing capacity of the cell for dealing with abnormal conditions is improved.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings, not all of them.
Example one
Fig. 1 is a flowchart illustrating an adaptive modulation and coding method according to an embodiment of the present invention, which enables an access network device to quickly and accurately obtain an MCS index value suitable for an air interface state, so as to ensure transmission efficiency of a downlink, where the access network device may be, for example, a base station. As can be seen from fig. 1, the method may specifically include the following steps:
s101, simulating a transmission scheme corresponding to the CQI index table and a transmission scheme corresponding to the MCS index table to obtain a first mapping relation between SINR and BLER corresponding to the CQI index table and a second mapping relation between SINR and BLER corresponding to the MCS index table.
The transmission scheme includes a modulation mode and a code rate. In the downlink transmission process, a terminal informs a base station through a Buffer Scheduling Request (BSR), and after the base station obtains a transmission scheme suitable for the current channel condition through an Adaptive Modulation and Coding (AMC), the base station determines the resource quantity of resources allocated to the terminal according to the data quantity indicated by the BSR. Three MCS tables of PDSCH are given in a protocol 38.214Table5.1.3.1-1 to Table5.1.3.1-3, MCS indexes in each table correspond to one transmission scheme, and a MCS table is determined to carry out downlink data transmission after a terminal accesses a network. The protocol 38.224 table5.2.2.1-2 to table5.2.2.2.1-4 gives three CQI (channel quality indicator) tables, a CQI index in each table corresponds to one transmission scheme, the three CQI tables correspond to MCS tables of the PDSCH one to one, and after the base station determines the MCS tables of the PDSCH, the terminal reports using the corresponding CQI tables. Therefore, in this embodiment, when the transmission scheme corresponding to the CQI index table and the transmission scheme corresponding to the MCS index table are simulated, mapping tables of SINR and BLER corresponding to the three CQI index tables and mapping tables of SINR and BLER corresponding to the three MCS index tables can be obtained according to different tables. Since a MCS table is determined to perform downlink data transmission after the terminal accesses the network, what kind of CQI index table and MCS index table is used is fixed in the subsequent adaptive modulation and coding adjustment process. Therefore, in the present embodiment, one of the tables is used for explanation. For example, a first mapping relationship is obtained by using the table 1-table5.2.2.1-3: 4-bit CQI for simulation, and a mapping profile (table 2) of SINR and BLER (BLER is less than or equal to 0.1 according to the requirement of 3GPP technical specification, in the present application, the maximum BLER value is 0.1 as a simulation result) corresponding to the CQI index table of table 1 can be obtained by sorting. The table 3-table5.1.3.1-2MCS index table2 for PDSCH is adopted to perform simulation to obtain the second mapping relationship, and the mapping profile (table 4) of SINR and BLER corresponding to the MCS index table in table 3 can be obtained by sorting.
TABLE 1 Table5.2.2.1-3:4-bit CQI
SINR and BLER corresponding to CQI indexing tables of Table 2-Table 1
The transmission scheme in table 1 simulates the mapping factor relationship in table2 at the theoretical layer, so in practice, the index value of CQI can be derived according to the SINR value, and the larger the CQI index value is, the larger the SINR value is, and the better the channel quality of the physical channel is at this time.
Table 3-Table5.1.3.1-2MCS index Table2 for PDSCH
Table 4-table 3 mapping tables of SINR and BLER corresponding to MCS index tables
The mapping factor relationship of table 4 is simulated at the theoretical layer from the transmission scheme of table 3, so that in practice, the index value of MCS can be reversely derived according to the SINR value and BLER value.
S102, counting CQI reporting period
The CQI index value in the reporting period is obtained according to the first mapping relation to obtain a first SINR value corresponding to the CQI index value in each reporting period
。
Reporting period
For the protocol specification, the minimum of 4slots and the maximum of 320slots can be adjusted according to the actual situation of the base station. Specifically, the terminal reports the CQI to the network access base station periodically in each reporting period, and the base station finds out a first SINR value corresponding to the CQI according to a first mapping table after receiving the CQI
。
S103, counting the number of reporting periods
Uplink reference signal SINR value
Calculating SINR deviation value of uplink reference signal in two adjacent reporting periods
For the SINR deviation value
Normalization processing is carried out to obtain weight factors
a。
The uplink Reference Signal may be one of a DM-RS (Demodulation Reference Signal), a PT-RS (phase tracking Reference Signal), or an SRS (Sounding Reference Signal). Specifically, statistics are carried out in each reporting period
Any one of the above uplink reference signal SINR values
Calculating the SINR deviation value of the uplink reference signal in two adjacent reporting periods
。
In the TDD system, uplink and downlink of the system are transmitted on different time slots of the same frequency resource, and the channel fading experienced by the transmission signals of the uplink and downlink can be considered to be the same in the coherence time of channel propagation, so that the variation trend of the uplink channel has a reference effect on the downlink channel. Therefore, the SINR deviation according to the uplink reference signal can be obtainedValue of
To estimate the channel quality condition of the downlink. In particular, for example
The variation of (2) is less than a certain threshold, it can be considered that the downlink channel fading of the current period has less variation compared with the previous period, the downlink channel quality of the current period is better, and when the variation is less than the certain threshold, the downlink channel quality of the current period is better
If the variation of the channel fading is larger than a certain threshold, it can be considered that the downlink channel fading in the current period has a large variation compared with the previous period, and the downlink channel quality in the current period is poor.
For multiple SINR offset values
Normalization processing is carried out to obtain weight factors
a. Wherein the normalization process normalizes all SINR offset values
Mapping to a probability value between 0 and 1 according to a correlation algorithm
a。
S104, counting the period
The BLER corresponding to the MCS index value used by the internal downlink transmission obtains a second SINR value corresponding to the MCS index value and the BLER according to the second mapping relation
。
Wherein the content of the first and second substances,
and
are not mutually differentAnd the method can be adjusted according to the application scene of the base station. Optionally, period
According to the statistical CQI reporting period
The CQI index value in the inner is adjusted. If the received CQI index value is small, which indicates that the quality of the current downlink channel is poor, the MCS value needs to be adjusted quickly, and the period may be shortened at this time
The setting is shorter. When the received CQI index value is large, it indicates that the current downlink channel quality is good, and at this time, the MCS value does not need to be adjusted quickly, and at this time, the period may be set to be short
The setting is longer.
In the period
Inner statistics MCS index value used for downlink transmission
Its corresponding BLER. According to the step S101, the table 4 is searched
And a second SINR value corresponding to BLER. For example,
when the BLER is 0.1 and 10,
it was 8.9.
S105, every other time in downlink transmission
Period of timeAccording to the first SINR value
The second SINR value
And the weight factor
aPerforming weighting calculation to obtain a third SINR value
。
As described in S104, period
The adjustment can be performed with reference to the current channel quality, and when the channel quality is poor, the MCS value needs to be adjusted rapidly, and at this time, the period is
The setting can be shorter and when the channel quality is better, there is no need to adjust the MCS value quickly, this time period
Can be set longer. First obtained from CQI mapping
And a second SINR value mapped by BLER
And the amount of change in SINR within a period of the uplink reference signal
Derived weight factors
aJointly calculating a third SINR value of the downlink channel
. In one embodiment, when the channel fluctuation is large, the SINR change amount in the uplink reference signal period
Larger, resulting weight factor
aAlso, the channel quality reported by CQI is larger, that is, the first channel quality obtained by CQI mapping
For the third SINR value
And carrying out rapid adjustment. The change amount of SINR in the period of the uplink reference signal
Smaller and close to 0, indicating that the channel variation is small at this time, and the second SINR value, which may be mapped with BLER at this time
For the third SINR value
And performing accurate adjustment. The method of introducing the change amount of the uplink channel SINR as the weight factor does not depend on the original CQI report value or the BLER statistical value independently, but carries out weighted average on the two values according to the actual channel condition, so that the MCS adjustment in the transmission process is smoother, the MCS adjustment value is more accurate, and the processing capacity of the cell for dealing with abnormal conditions is improved.
S106, according to the third SINR value
And searching the maximum value of the corresponding MCS index value in the second mapping relation, and performing data transmission by using a transmission scheme corresponding to the maximum value of the MCS index value.
In one embodiment, the third SINR value
Looking up corresponding in the second mapping relationThe maximum value of the MCS index value further includes: according to BLER ≦ 0.1 and SINR =
And finding the MCS index value set meeting the condition, and finding the maximum value of the MCS index value from the MCS index value set. For example, the third SINR value is calculated in step S105
Is 8.05, BLER ≦ 0.1 and SINR =according to the conditions
The maximum value of the index value of the MCS that meets the condition is found in table 4 to be 9, at this time, 9 is the optimal index value of the MCS table, and in the subsequent transmission process of the downlink channel, the base station determines how many resources to allocate to the terminal and transmit according to the transmission scheme corresponding to MCS =9 and the BSR (Buffer Scheduling Request) indication data amount of the terminal.
According to the adaptive modulation and coding method, the CQI index value is mapped into the SINR value, the SINR value mapped by the downlink error rate BLER and the SINR change quantity obtained by the uplink reference signal in the CQI reporting period are jointly settled to obtain the accurate MCS index value, and the calculation process is simplified. The SINR mapped by the downlink BLER is introduced, so that the base station can estimate the complex and changeable channel environment more accurately, the MCS index value suitable for the air interface state can be rapidly and accurately acquired, and the transmission efficiency of the downlink is ensured. The variation of the uplink channel SINR is introduced as a weight factor, so that the smoothness and accuracy of the transmission process are improved, and the processing capability of the cell for dealing with abnormal conditions is improved.
Example two
The embodiment can enable the access network equipment to quickly and accurately acquire the MCS index value suitable for the air interface state, thereby ensuring the transmission efficiency of the downlink, and the access network equipment may be a base station, for example. The method specifically comprises the following steps:
s201, simulating a transmission scheme corresponding to the CQI index table and a transmission scheme corresponding to the MCS index table to obtain a first mapping relation between SINR and BLER corresponding to the CQI index table and a second mapping relation between SINR and BLER corresponding to the MCS index table.
In this embodiment, after the three simulation models are respectively used for simulation, the simulation results of the three simulation models are weighted and averaged to obtain the final mapping relationship. Optionally, for the combination of the transmission block size of the NR system and the transmission scheme corresponding to the CQI index table, performing TDL simulation, CDL simulation and AWGN channel simulation of a tap delay line model, and obtaining three SINR-BLER relationship curves corresponding to the TDL simulation, CDL simulation and AWGN channel simulation, respectively
L 1 、
L 2 、
L 3 And performing weighted calculation on the three SINR and BLER relation curves to obtain a first mapping relation between SINR and BLER corresponding to the CQI index table. Illustratively, the TDL model, the CDL model, and the AWGN model each have a weight factor of
K 1 、K 2 、K 3 It can be known that the last first mapping relationship may be:
in which
K 1 、 K 2 、K 3 Can be adjusted according to the situation.
Optionally, for the combination of the transmission block size of the NR system and the transmission scheme corresponding to the MCS index table, performing TDL simulation, CDL simulation and AWGN channel simulation of a tapped delay line model, and obtaining three SINR-BLER relationship curves corresponding to the TDL simulation, CDL simulation and AWGN channel simulation, respectivelyL 4 、L 5 、L 6 And performing weighted calculation on the three SINR and BLER relation curves to obtain a second mapping relation between SINR and BLER corresponding to the MCS index table.
S202, counting CQI reporting period
The CQI index value in the reporting period is obtained according to the first mapping relation to obtain a first SINR value corresponding to the CQI index value in each reporting period
。
The step is the same as S102, and is not described herein again.
S203, the uplink reference signal is an uplink Sounding Reference Signal (SRS), and statistics is carried out in each reporting period
SINR value of SRS Signal
Calculating the SINR deviation value of the uplink reference signal in two adjacent reporting periods
,
Wherein the content of the first and second substances,
and
respectively corresponding to the statistical period
And
the value of the SINR of (1) is,
k>1,
kthe adjustment is made according to the application scenario of the base station,
nfor periods in which the base station fails to receive CQI reports
The number of the cells.
For the SINR deviation value
Is normalizedThen, a weight factor is obtained
aThe method comprises the following steps:
wherein, the first and the second end of the pipe are connected with each other,
the maximum value of the SINR deviation value.
The uplink Reference Signal is an SRS (Sounding Reference Signal), and may perform channel quality detection and estimation, beam management, and also evaluate downlink channel parameters for a TDD system by using channel reciprocity. In the NR system, the SRS supports periodic, aperiodic, and semi-static transmission, and the transmission bandwidth covers the whole PUSCH band as much as possible, so in the present application, the SINR value of the SRS is preferably selected to measure the quality of the signal, and it is possible to avoid that the channel quality of the whole bandwidth cannot be accurately reflected due to the characteristics of the transmission bandwidth and the period of other uplink signals.
In this embodiment, the SINR deviation value of the uplink reference signal in two adjacent reporting periods is calculated
,
Wherein, the formula (1)
And
respectively corresponding to the statistical period
And
the value of the SINR of (1) is,
k>1,
kthe adjustment is made according to the application scenario of the base station,
nfor periods in which the base station fails to receive CQI reports
The number of the cells.
In particular, a constant factor is introduced
kCalculating SINR offset value
In order to pre-process the deviation value in an artificially controlled manner according to the actual conditions of the channel, the method is now used
nTime of continuous period
In addition, the base station can not normally receive CQI feedback of the terminal, can judge that the quality of the downlink channel at the moment is very poor, and can set a constant factor
kIs a large value, so that
The value is accelerated, i.e. when the quality of the downlink channel is poor,
kand
nthe larger the size of the tube to be made,
the smaller the value of (c) will be.
To pair
The value of (A) is normalized to obtain a weight factor
aIs expressed by the formula
,
The maximum value of the SINR deviation value is 0-0
<
Therefore, 0 is less than or equal to
aIs less than 1. Through the above explanation, it is also explained that when the base station fails to receive the CQI feedback of the terminal normally, the downlink channel quality is poor at this time,
kand
nthe larger the size of the hole to be made,
will be smaller resulting in a weight factor
aThe smaller.
S204, counting period
The BLER corresponding to the MCS index value used by the internal downlink transmission obtains a second SINR value corresponding to the MCS index value and the BLER according to the second mapping relation
。
The step is the same as S204, and is not described herein again.
S205, every other time in downlink transmission
Period according to the first SINR value
The second SINR value
And the weight factor
aPerforming weighting calculation to obtain a third SINR value
Third SINR value
The calculation formula of (a) is as follows:
specifically, in the formula (3)
aIs equivalent to a penalty factor when
aIf the channel fluctuation is large, and the first SINR value of the reported CQI mapping is dominant at the moment, so that the channel fluctuation is large, and the first SINR value of the reported CQI mapping is known to be large
And carrying out rapid adjustment. When in
aSmaller or even close to 0, indicating less channel variation, when the second SINR value pair mapped with BLER is used
And carrying out accurate adjustment. Illustratively, when continuing
nThe CQI is not received in each reporting period, and at the moment
aBecomes very small, when the second SINR value pair mapped with BLER should be used
And carrying out accurate adjustment. According to the method, the method of using the SINR variation of the uplink reference signal as the weight factor is introduced, the original CQI report value or the BLER statistical value is not independently relied on, the two values are weighted and calculated according to the actual channel condition, the MCS adjustment in the transmission process is smoother, the MCS adjustment value is more accurate, and the processing capacity of the cell for dealing with abnormal conditions is improved.
S206, according to BLER less than or equal to 0.1 and SINR =
And finding the MCS index value set meeting the conditions in the second mapping relation, finding the maximum value of the MCS index value from the MCS index value set, and performing data transmission by using a transmission scheme corresponding to the maximum value of the MCS index value.
This step is described in step S106, and will not be described herein.
EXAMPLE III
Fig. 2 is a schematic structural diagram of an access network device in a third embodiment of the present invention. Fig. 2 illustrates a block diagram of an exemplary access network device 12 suitable for use in implementing embodiments of the present invention. The access network equipment 12 shown in fig. 2 is only an example and should not impose any limitations on the functionality or scope of use of embodiments of the present invention.
As shown in fig. 2, access network device 12 is in the form of a general purpose computing device. The components of the access network device 2 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Access network device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by access network device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. Access network device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 2, and commonly referred to as a "hard drive"). Although not shown in FIG. 2, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of embodiments of the invention as described.
Access network device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with access network device 12, and/or with any device (e.g., network card, modem, etc.) that enables access network device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. In the access network device 12 of the present embodiment, the display 24 is not provided as a separate body but is embedded in a mirror surface, and when the display surface of the display 24 is not displayed, the display surface of the display 24 and the mirror surface are visually integrated. Also, access network device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 20. As shown in fig. 2, network adapter 20 communicates with the other modules of access network device 12 via bus 18. It should be appreciated that although not shown in fig. 2, other hardware and/or software modules may be used in conjunction with access network device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by running a program stored in the system memory 28, for example, implementing the adaptive modulation and coding method provided by the embodiment of the present invention, the method includes:
and simulating a transmission scheme corresponding to the CQI index table and a transmission scheme corresponding to the MCS index table to obtain a first mapping relation between SINR and BLER corresponding to the CQI index table and a second mapping relation between SINR and BLER corresponding to the MCS index table.
Counting CQI reporting period
The CQI index value in the reporting period is obtained according to the first mapping relation to obtain a first SINR value corresponding to the CQI index value in each reporting period
。
Counting the number of reporting periods
Uplink reference signal SINR value
Calculating SINR deviation value of uplink reference signal in two adjacent reporting periods
For the SINR deviation value
Normalization processing is carried out to obtain weight factors
a。
Statistical period
BLER corresponding to MCS index value used for inner downlink transmission obtains a second SINR value corresponding to the MCS index value and BLER according to the second mapping relation
。
Every other transmission in downlink
Period according to the first SINR value
The second SINR value
And the weight factor
aPerforming weighting calculation to obtain a third SINR value
。
According to the third SINR value
And searching the maximum value of the corresponding MCS index value in the second mapping relation, and performing data transmission by using a transmission scheme corresponding to the maximum value of the MCS index value.
Example four
An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for adaptive modulation and coding as provided in all embodiments of the present invention, where the method includes:
and simulating a transmission scheme corresponding to the CQI index table and a transmission scheme corresponding to the MCS index table to obtain a first mapping relation between SINR and BLER corresponding to the CQI index table and a second mapping relation between SINR and BLER corresponding to the MCS index table.
Counting CQI reporting period
The CQI index value in the reporting period is obtained according to the first mapping relation to obtain a first SINR value corresponding to the CQI index value in each reporting period
。
Counting the number of reporting periods
Uplink reference signal SINR value
Calculating the SINR deviation value of the uplink reference signal in two adjacent reporting periods
For the SINR deviation value
Performing normalization to obtain weight factor
a。
Statistical period
BLER corresponding to MCS index value used for inner downlink transmission obtains a second SINR value corresponding to the MCS index value and BLER according to the second mapping relation
。
Every other transmission in downlink
Period according to the first SINR value
The second SINR value
And the weight factor
aPerforming weighting calculation to obtain a third SINR value
。
According to the third SINR value
Searching the maximum value of the corresponding MCS index value in the second mapping relation, and using the MCS index valueThe data transmission is carried out according to the transmission scheme corresponding to the maximum value of the data transmission rate.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing description is only exemplary of the invention and that the principles of the technology may be employed. Those skilled in the art will appreciate that the present invention is not limited to the particular embodiments described herein, and that various obvious changes, rearrangements and substitutions will now be apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.