CN117294385A - Adaptive modulation and coding method, device, base station and storage medium - Google Patents
Adaptive modulation and coding method, device, base station and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a self-adaptive modulation coding method, a device, a base station and a storage medium, wherein the self-adaptive modulation coding method comprises the following steps: a third MCS scheduling strategy is constructed by scheduling the first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, a plurality of outer loop values are generated in the scheduling process, the outer loop values correspond to the MCS level of the third MCS scheduling strategy, and the MCS level of the second MCS scheduling strategy is larger than the MCS level of the first MCS scheduling strategy; determining an optimal outer-loop value from the plurality of outer-loop values; updating the target block error rate and the target outer loop value according to the optimal outer loop value; determining a target MCS level according to the target block error rate and the target outer loop value; the target block error rate and the outer loop value can be adaptively adjusted, so that the MCS level is more matched with the current channel condition, and the spectrum efficiency is improved.
Description
Technical Field
Embodiments of the present disclosure relate to, but are not limited to, the field of communications technologies, and in particular, to an adaptive modulation and coding method, an apparatus, a base station, and a storage medium.
Background
In a long term evolution (Long Term Evolution, LTE) system or a New Radio (NR) wireless system, both interference and fading in a wireless channel are time-varying, and in order to secure transmission quality of a link and to maximally utilize transmission capacity of the wireless channel, an adaptive modulation and coding (Adaptive Modulation and Coding, AMC) technique is applied. The adaptive modulation and coding is an adaptive coding and modulation technology adopted on a wireless channel, and the data transmission can keep up with the change condition of the channel in time by adjusting the modulation mode (such as QPSK, 16QAM and 64 QAM) and the coding rate of the wireless link transmission.
According to the quality condition of a wireless channel fed back by a terminal, the level of a modulation coding mode (Modulation and Coding Scheme, MCS) is adaptively adjusted so as to improve the transmission efficiency and the transmission quality of a communication system; when the channel quality is poor, selecting a smaller MCS level; when the channel quality is good, a larger MCS level is selected. In addition, an AMC outer loop policy is introduced, and the MCS level of the scheduling is dynamically adjusted by feedback of positive Acknowledgement (ACK), negative Acknowledgement (Negative Acknowledgement), and target Block Error Rate (BLER). In the current self-adaptive modulation coding technology, the value of the target block error rate is fixed, and the channel quality and the far and near scenes are not distinguished; when affected by channel interference, channel fluctuation, etc., it is difficult to control the MCS to a level that maximizes the data transmission rate with a fixed value of the target block error rate. When the channel interference or fluctuation is strong, the fixed value target block error rate is relatively low, and the target block error rate can maintain the MCS at a low level, so that the spectrum efficiency of the system is affected; when the channel interference and fluctuation are weak, the target BLER with fixed value is relatively high, the target block error rate can maintain the MCS at a high level, which can lead to delay increase and not improve the spectrum efficiency.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein.
The embodiment of the application provides a self-adaptive modulation coding method, a self-adaptive modulation coding device, a base station and a storage medium, which can self-adaptively adjust a target block error rate and an outer loop value, so that an MCS (modulation and coding scheme) level is more matched with the current channel condition, and the spectrum efficiency is improved.
In a first aspect, an embodiment of the present application provides an adaptive modulation and coding method, where the method includes:
a third MCS scheduling strategy is constructed by scheduling a first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, and a plurality of outer loop values are generated in the scheduling process, wherein the outer loop values correspond to the MCS level of the third MCS scheduling strategy, the first MCS scheduling strategy and the second MCS scheduling strategy both comprise at least one MCS, and the MCS level of the second MCS scheduling strategy is greater than the MCS level of the first MCS scheduling strategy; determining an optimal outer loop value from a plurality of the outer loop values; updating a target block error rate and a target outer loop value according to the optimal outer loop value; and determining a target MCS level according to the target block error rate and the target outer loop value.
In a second aspect, embodiments of the present application further provide an adaptive modulation and coding apparatus, including: the scheduling module is used for scheduling a first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, and generating a plurality of outer loop values in the scheduling process, wherein the first MCS scheduling strategy and the second MCS scheduling strategy both comprise at least one MCS, and the MCS level of the second MCS scheduling strategy is greater than the MCS level of the first MCS scheduling strategy; the optimal outer ring value determining module is used for determining an optimal outer ring value from a plurality of outer ring values; the updating module is used for updating the target block error rate and the target outer loop value according to the optimal outer loop value; and the target MCS level determining module is used for determining a target MCS level according to the target block error rate and the target outer loop value.
In a third aspect, an embodiment of the present application further provides a base station, including: a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the adaptive modulation and coding method as described above when executing the computer program.
In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium storing computer-executable instructions for performing the adaptive modulation and coding method as described above.
The embodiment of the application comprises the following steps: scheduling a first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, generating a plurality of outer loop values in the scheduling process, wherein the MCS level of the second MCS scheduling strategy is greater than that of the first MCS scheduling strategy; determining an optimal outer-loop value from the plurality of outer-loop values; updating the target block error rate and the target outer loop value according to the optimal outer loop value; determining a target MCS level according to the target block error rate and the target outer loop value; the target block error rate and the outer loop value can be adaptively adjusted, so that the MCS level is more matched with the current channel condition, and the spectrum efficiency is improved.
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The accompanying drawings are included to provide a further understanding of the technical aspects of the present application, and are incorporated in and constitute a part of this specification, illustrate the technical aspects of the present application and together with the examples of the present application, and not constitute a limitation of the technical aspects of the present application.
FIG. 1 is a flow chart of an adaptive modulation and coding method;
FIG. 2 is a flow chart for determining an optimal outer-loop value from a plurality of outer-loop values;
FIG. 3 is a flow chart for calculating block error rates for inner and outer loop values of a cycle;
FIG. 4 is a flow chart for calculating equivalent spectral efficiency for inner and outer loop values of a cycle;
FIG. 5 is a block diagram of an adaptive modulation and coding apparatus;
fig. 6 is a block diagram of a base station to which an adaptive modulation and coding method is applied.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description, in the claims and in the above-described figures, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The application provides an adaptive modulation and coding method, an adaptive modulation and coding device, a base station and a storage medium, wherein the adaptive modulation and coding method comprises the following steps: a third MCS scheduling strategy is constructed by scheduling the first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, a plurality of outer loop values are generated in the scheduling process, the outer loop values correspond to the MCS level of the third MCS scheduling strategy, and the MCS level of the second MCS scheduling strategy is larger than the MCS level of the first MCS scheduling strategy; determining an optimal outer-loop value from the plurality of outer-loop values; updating the target block error rate and the target outer loop value according to the optimal outer loop value; and determining a target MCS level according to the target block error rate and the target outer loop value. The method can adaptively adjust the target block error rate and the outer loop value, so that the MCS level is more matched with the current channel condition, and the spectrum efficiency is improved.
Embodiments of the present application are further described below with reference to the accompanying drawings.
The embodiment of the application provides a self-adaptive modulation and coding method which is applied to a long-term evolution system or a new air interface wireless system.
Referring to fig. 1, fig. 1 is a flowchart of an adaptive modulation and coding method. The adaptive modulation and coding method of the present application includes, but is not limited to, the following steps:
step S100, a third MCS scheduling strategy is constructed by scheduling a first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, and a plurality of outer loop values are generated in the scheduling process, wherein the outer loop values correspond to the MCS level of the third MCS scheduling strategy, the first MCS scheduling strategy and the second MCS scheduling strategy both comprise at least one MCS, and the MCS level of the second MCS scheduling strategy is greater than the MCS level of the first MCS scheduling strategy;
step S200, determining an optimal outer ring value from a plurality of outer ring values;
step S300, updating the target block error rate and the target outer loop value according to the optimal outer loop value;
and step S400, determining a target MCS level according to the target block error rate and the target outer loop value.
In the embodiment, the problem that the MCS is difficult to control at the level of maximizing the data transmission rate caused by the fact that the traditional AMC scheme does not distinguish channel quality and the target block error rate with a fixed value is adopted in far and near scenes can be solved; the target block error rate and the outer loop value can be adaptively adjusted, so that the MCS level is more matched with the current channel condition, and the spectrum efficiency is improved.
For step S100, in the long term evolution system or the new air interface wireless system, the base station receives the channel quality indication (Channel Quality Indicator, CQI) reported by the user equipment, obtains a corresponding modulation and coding scheme index value (MCS-index) from the standard table according to the channel quality indication, and determines the modulation and coding scheme to be scheduled according to the modulation and coding scheme index value. And constructing a third MCS scheduling strategy by scheduling the first MCS scheduling strategy and the second MCS scheduling strategy in different proportions, wherein the first MCS scheduling strategy is an MCS scheduling strategy for scheduling the MCS according to the MCS level determined by the traditional AMC scheme, and the second scheduling strategy is an MCS scheduling strategy with the MCS level higher than that of the first scheduling strategy. Based on the traditional AMC scheme, the higher MCS level is probed with a certain duty ratio to realize the scheduling by adopting a third MCS scheduling strategy with different MCS levels. And a plurality of outer loop values are generated in the process of constructing a third MCS scheduling strategy by scheduling the first MCS scheduling strategy and the second MCS scheduling strategy according to each proportion, and the outer loop values correspond to the MCS levels of the third MCS scheduling strategy.
In addition, in general, the number of MCSs scheduled by the second MCS scheduling policy is the same as the number of MCSs scheduled by the first MCS scheduling policy.
In some embodiments, the ratio is a ratio of the number of invocations of the second MCS scheduling policy to the number of schedules of the first MCS scheduling policy. For each ratio, a third MCS scheduling policy is constructed by proportionally scheduling the first MCS scheduling policy and the second MCS scheduling policy.
Of course, in other embodiments, the ratio of the number of times of calling the second MCS scheduling policy to the total number of times of scheduling may be set, and since the sum of the ratio of the number of times of calling the second MCS scheduling policy to the number of times of calling the first MCS scheduling policy to the total number of times of scheduling is 1, the ratio of the number of times of calling the first MCS scheduling policy to the total number of times of scheduling may be obtained, thereby obtaining the above ratio.
For example, in one particular embodiment, the first MCS scheduling policy is track 0 and the second MCS scheduling policy is track 1. With 200 schedules as one cycle. The first MCS scheduling policy schedules 200 MCS20 and the second MCS scheduling policy schedules 21 MCS. According to the preset proportion, the scheduling frequency of the track1 is 20% of the scheduling frequency of the portTrack 1, and the scheduling frequency of the track 0 is (1-portTrack 1), namely 80%; the ratio is the ratio of the number of scheduling of track1 to the number of calling of track 0, namely 20%:80%. The third MCS scheduling policy is to schedule 160 MCS20 and 40 MCS21.
In another specific embodiment, the first MCS scheduling policy schedules 80 times MCS20 and 120 times MCS21, and the second MCS scheduling policy schedules MCS21 and MCS22. According to the preset proportion, the scheduling frequency of the track1 is 20% of the scheduling frequency of the corresponding track1, and the scheduling frequency of the track 0 is (1-portTrack 1), namely 80%. The number of times of scheduling of MCS20 is 80 x 80% =64 times, the number of times of scheduling of MCS21 is 80 x 20% +120 x 80% =112 times, and the number of times of scheduling of MCS22 is 120 x 20% =24 times; namely, the third MCS scheduling policy is to schedule 64 times MCS20, 112 times MCS21, and 24 times MCS22.
Of course, in other embodiments, the MCS level of the second MCS scheduling policy may be one level higher than the MCS level of the first MCS scheduling policy, or the MCS level of the second MCS scheduling policy may be two levels or more higher than the MCS level of the first MCS scheduling policy, or adaptively adjusted according to actual channel conditions.
Of course, in other embodiments, the number of the scheduled MCSs may be other than two, including three, four, etc., or the number of the scheduled MCSs may be adaptively adjusted according to the actual channel conditions. In addition, as such, three or more number of MCSs each have different MCS levels, and the MCS level difference may be adaptively adjusted according to actual channel conditions.
Of course, in other embodiments, the multi-track configuration may be implemented in other ways, such as changing the outer-loop value generation or otherwise causing the scheduled MCS to change.
Referring to fig. 2, fig. 2 is a flowchart for determining an optimal outer-loop value from a plurality of outer-loop values. For step S200, an optimal outer-loop value is determined from a plurality of outer-loop values, including, but not limited to, the steps of:
step S210, for each outer ring value, calculating the block error rate of the inner and outer ring values of the period;
step S220, for each outer loop value, calculating an objective function value corresponding to the inner loop value and the outer loop value of the period according to the MCS level and the block error rate of the third MCS scheduling strategy corresponding to the outer loop value;
and step S230, determining an optimal outer ring value from a plurality of outer ring values according to the objective function value.
For step S210, in the wireless network system, one device transmits data to another device in blocks. The transmitting end calculates a cyclic redundancy check (Cyclic Redundancy Check, CRC) using the data in the block and transmits to the receiving end along with the block. The receiving end calculates a CRC according to the received data, compares the CRC with the received CRC, if the CRC is equal to the received CRC, the receiving end considers that the correct data is successfully received, and replies a positive acknowledgement to the sending end, so that the data can be correctly received according to the current channel coding and debugging mode; if the two are not equal, the receiving end considers that the error data is received and replies a negative acknowledgement to the sending end to request the sending end to retransmit the block. If the sender does not receive the reply from the receiver within a specific period, the sender assumes that the previously sent block does not reach the receiver, and the sender automatically retransmits the block.
It is necessary to distinguish between different outer loop values, and for each outer loop value, a step of calculating a block error rate in a specific period needs to be performed. Referring to fig. 3, fig. 3 is a flowchart of calculating block error rates of respective outer loop values in a cycle. Then specifically, the block error rate of each outer loop value within the period is calculated, including but not limited to the following steps:
step S211, receiving positive acknowledgement and negative acknowledgement fed back by the user equipment;
step S212, counting a first feedback number corresponding to the positive acknowledgement and a second feedback number corresponding to the negative acknowledgement;
and step S213, obtaining the block error rate of the outer loop value according to the first feedback number and the second feedback number.
The block error rate is typically the ratio of the number of transport blocks received in error to the total number of blocks being transmitted. This measurement is one of the simplest indicators for measuring the physical layer performance of the device, performed by evaluating the CRC on each received transport block after channel de-interleaving and decoding. The block error rate closely reflects the radio frequency channel conditions and interference levels. The cleaner the radio channel or the higher the SIGNAL-to-NOISE RATIO (SNR) for a given MCS level, the less likely a transport block is received in error, which indicates a lower block error rate. Vice versa, for a given signal-to-noise ratio, the higher the MCS level, the greater the likelihood of errors due to interference, thus amplifying the block error rate.
Specifically, for step S213, the block error rate is the ratio of the number of negative acknowledgements or the total number of positive acknowledgements. The block error rate can be expressed by the following equation: BLER_MCSOL i ＝MCSOL i NACK number/(MCSOL) i NACK number +mcsol of (a) i ACK number of (a) in which bler_mcsol i Block error rate, MCSOL, representing outer loop value i NACK number of (2) represents the second feedback number of negative acknowledgements corresponding to the outer-loop value, MCSOL i The ACK number of (2) represents the first feedback number of positive acknowledgements corresponding to the outer-loop value.
Wherein the parameter determining one period is at least one of the following: total scheduling times of all MCS, total scheduling time of all MCS, total feedback times of positive acknowledgement and negative acknowledgement, total number of outer loop values meeting preset statistical requirements. Of course, in other embodiments, other ways of characterizing the completion of the statistical period may be employed.
That is, for example, when the total scheduling times of all MCSs reach a first preset threshold value, it is considered as one period; or when the total dispatching time of all MCSs reaches a second preset threshold value, the dispatching time is considered as a period; or when the total feedback times of the positive acknowledgement and the negative acknowledgement reach a third preset threshold value, the time is considered as a period; or when the total number of the outer ring values meeting the preset statistical requirement reaches a fourth preset threshold value, the period is considered to be one period. The decision parameter of the period can be set according to the actual situation. The first preset threshold value, the second preset threshold value, the third preset threshold value and the fourth preset threshold value are all human preset values, and can be obtained according to historical experience.
For example, in a specific embodiment, a new third MCS scheduling policy is adopted, and the sum of the number of ACKs and the number of NACKs received by a ue reaches a third preset threshold thresholdtrack, where the third preset threshold thresholdtrack takes a value of 150, so as to complete a cycle. And counting the block error rate of each outer loop value in the period. The block error rate corresponding to the outer ring value-2 is 4%, the block error rate corresponding to the outer ring value-1 is 11%, and the block error rate corresponding to the outer ring value 0 is 19%.
The MCS level of the third MCS scheduling policy depends on an outer loop value corresponding to the third MCS scheduling policy. Generally, in a long term evolution system or a new air interface wireless system, an outer loop control and an inner loop control are included; the outer loop value corresponds to the outer loop control, the inner loop value corresponds to the inner loop control, and the MCS level of the third MCS scheduling policy is jointly determined by the outer loop value and the inner loop value. Of course, in other embodiments, different MCS levels of the third MCS scheduling policy may be differentiated, and the step of calculating the block error rate in a specific period needs to be performed for each MCS level of the third MCS scheduling policy.
For step S220, the objective function value corresponding to the inner and outer loop values of the cycle is calculated according to the MCS level of the third MCS scheduling policy corresponding to the outer loop value and the block error rate of the outer loop value.
The objective function value may be an equivalent spectral efficiency (Spectral Efficiency, SE), or a transmission delay, or other indicator that considers the equivalent SE and block error rate in combination. The type of objective function value used may be determined based on the actual operating environment.
In one embodiment, the equivalent spectral efficiency is used as an objective function value, where the equivalent spectral efficiency represents the transmission rate per bandwidth, expressed as a ratio of the size of a successfully transmitted transport block (Transport Block Size, TBS) to the number of Resource Elements (REs) used.
Referring to fig. 4, fig. 4 is a flowchart for calculating equivalent spectral efficiency corresponding to the cyclic values inside and outside the cycle. Step S220 includes, but is not limited to, the following steps:
step S221, obtaining the spectrum efficiency of the third MCS scheduling strategy according to the MCS level of the third MCS scheduling strategy;
step S222, obtaining equivalent spectrum efficiency according to the spectrum efficiency and the block error rate.
For spectral efficiency, spectral efficiency is defined as the net bit rate or maximum throughput divided by the bandwidth of the communication channel or data link. The net bit rate is the useful information rate for transmission by a system that does not include error correction codes. Spectral efficiency describes the amount of capacity a channel can provide. MCSs of different MCS levels have different spectral efficiencies.
Calculating equivalent spectral efficiency according to the spectral efficiency and the block error rate; specifically, in a certain embodiment, the equivalent spectral efficiency of each outer loop value may be estimated by the following equation: equalse_MCSOL i ＝SE_MCSOL i /(1+BLER_MCSOL i ) The method comprises the steps of carrying out a first treatment on the surface of the In the formula, SE_MCSOL i Spectral efficiency representing MCS level of currently employed third MCS scheduling policy, equalse_mcsol i Representing the equivalent spectral efficiency of the outer loop value.
In fact, different equivalent spectral efficiency estimation formulas may exist in different operating environments, i.e. the manner in which the equivalent spectral efficiency is calculated depends on the actual operating environment. For example, when the number of retransmission Resource Blocks (RBs) is different from the number of new transmission Resource blocks, the following formula may be used to calculate the equivalent spectral efficiency: equalse_MCSOL i ＝SE_MCSOL i /(1+CompressRatio*BLER_MCSOL i ) Where, the compression ratio represents the ratio of the number of retransmission resource blocks to the number of new transmission resource blocks.
For step S230, an optimal outer-loop value is determined from the plurality of outer-loop values according to the objective function value. For example, the outer loop value with the highest equivalent SE is adopted as the optimal outer loop value, or the outer loop value with the larger improvement of equivalent spectrum efficiency and smaller improvement of block error rate is adopted as the optimal outer loop value. In specific applications, the manner of determining the optimal outer ring value can be selected according to actual requirements.
For example, in one particular embodiment, the equivalent spectral efficiency of outer-loop value-2 is 2.101, the equivalent SE of outer-loop value-1 is 2.182, and the equivalent spectral efficiency of outer-loop value 0 is 2.233. When the outer loop value with the highest equivalent spectrum efficiency is adopted as the optimal outer loop value, the outer loop value 0 is the optimal outer loop value.
For step S300, updating the target block error rate and the target outer loop value according to the optimal outer loop value, that is, includes: updating the target block error rate according to the optimal outer loop value; and updating the target outer ring value according to the optimal outer ring value.
For updating the target block error rate according to the optimal outer loop value, including but not limited to the following:
according to the block error rate corresponding to the optimal outer loop value, the current target block error rate and a preset step length updating coefficient, a first updating step length of the target block error rate is obtained, and the target block error rate is updated to be the sum of the current target block error rate and the first updating step length; or when the block error rate of the optimal outer loop value is larger than the current target block error rate, updating the target block error rate to be the sum of the current target block error rate and a second updating step length, and when the block error rate of the optimal outer loop value is smaller than the current target block error rate, updating the target block error rate to be the difference between the current target block error rate and the second updating step length, wherein the second updating step length is a preset fixed step length corresponding to the target block error rate.
And updating the target block error rate according to the optimal outer loop value, and realizing the self-adaptive optimization of the target block error rate according to the comparison condition of the target function values of the outer loop values.
In some embodiments, a variable step size is employed as an update step size for the target block error rate to update the target block error rate. And determining an updating step length of the target block error rate, namely a first updating step length, according to the difference value between the block error rate corresponding to the optimal outer loop value and the current target block error rate and the step length updating coefficient. The first update step size can be represented by the following equation: Δtargetbler=α (BLEROpt-TargetBLER); in the formula, delta TargetBLER represents a first updating step length, BLEROTP represents a block error rate corresponding to an optimal outer loop value, targetBLER represents a current target block error rate, and alpha represents a step length updating coefficient. In addition, the larger the value of the step size updating coefficient alpha, the higher the adjustment efficiency, but the worse the stability, the smaller the value of the step size updating coefficient alpha, the lower the adjustment efficiency, but the better the stability.
In one embodiment, the equivalent spectral efficiency of outer loop value-2 is 2.101, the equivalent SE of outer loop value-1 is 2.182, and the equivalent spectral efficiency of outer loop value 0 is 2.233. The equivalent spectrum efficiency of the outer loop value 0 is highest, the outer loop value 0 is the optimal outer loop value, and the block error rate of the outer loop value 0 is 19%, namely the BLEROPT value is 19%. The current target block error rate is 10%, i.e. the targetblock ler takes a value of 10%. The preset step updating coefficient alpha takes a value of 1/3. Then by the following formula: Δtargetbler=α (BLEROpt-TargetBLER) =1/3 (19% -10%) =3%, and the first update step size can be calculated to be 3%. Then by the following formula: targetBLER' =targetbler+ +Δ targetbler=10% +3% =13%, and the updated target block error rate can be calculated to be 13%.
In some embodiments, the update direction of the target block error rate is determined according to the comparison of the block error rate of the optimal outer loop value and the current target block error rate, so as to update the target block error rate for a second update step of a fixed step size. The update direction of the target block error rate determines the target block error rate plus or minus the second update step size, or maintains the original value.
Namely, according to the comparison relation between the block error rate of the optimal outer loop value and the current target block error rate, the target block error rate is updated to be the sum of the current target block error rate and the second updating step length, or the target block error rate is updated to be the difference between the current target block error rate and the second updating step length, or the target block error rate is kept to be the current target block error rate.
Specifically, for example, when the block error rate of the optimal outer loop value is greater than the current target block error rate, updating the target block error rate to be the sum of the current target block error rate and the second updating step; when the block error rate of the optimal outer loop value is smaller than the current target block error rate, updating the target block error rate to be the difference between the current target block error rate and the second updating step length; and when the block error rate of the optimal outer loop value is equal to the current target block error rate, maintaining the current target block error rate unchanged.
The updating mode of updating the target block error rate by a first updating step with a variable step length or the updating mode of updating the target block error rate by a second updating step with a fixed step length is determined according to the actual running environment.
For updating the target outer-loop value from the optimal outer-loop value, including but not limited to the following:
updating the target outer ring value to an optimal outer ring value; or according to the comparison relation between the optimal outer ring value and the current target outer ring value, updating the target outer ring value to be the sum of the current target outer ring value and a third updating step length, or updating the target outer ring value to be the difference between the current target outer ring value and the third updating step length, or keeping the target outer ring value to be the current target outer ring value, wherein the third updating step length is a preset fixed step length corresponding to the target outer ring value, or a variable step length determined by the optimal outer ring value and the current target outer ring value together.
And updating the target outer ring value according to the optimal outer ring value, so that the self-adaptive optimization of the target outer ring value according to the comparison condition of the target function values of the outer ring values is realized.
In some embodiments, the target outer loop value is updated to the optimal outer loop value. For example, if the equivalent spectral efficiency of the outer-loop value 0 is highest and the outer-loop value 0 is the optimal outer-loop value, the target outer-loop value is updated to the outer-loop value 0.
In some embodiments, the updating direction of the target outer-loop value is determined according to the comparison condition of the optimal outer-loop value and the current target outer-loop value, and the target outer-loop value is updated with a third updating step. The update direction of the target outer loop value determines whether the target outer loop value plus or minus the third update step size, or maintains the original value.
In some embodiments, the third update step may be a preset fixed step, and the value of the fixed step corresponding to the third update step may be obtained according to historical experience. In other embodiments, the third update step is a variable step, and the variable step corresponding to the third update step is obtained according to the optimal outer-loop value and the current target outer-loop value, for example, the third update step is a difference between the optimal outer-loop value and the current target outer-loop value, or the third update step is a difference between the optimal outer-loop value and the current target outer-loop value multiplied by a weight coefficient.
For example, a high threshold and a low threshold may be set, and when the difference between the optimal outer loop value and the current target outer loop value is greater than or equal to the high threshold, indicating that the current target outer loop value is too small, the target outer loop value is updated to be the sum of the current target outer loop value and the third update step; when the difference between the optimal outer loop value and the current target outer loop value is smaller than or equal to the low threshold, indicating that the current target outer loop value is too large, updating the target outer loop value to be the difference between the current target outer loop value and the third updating step; and when the difference between the optimal outer loop value and the current target outer loop value is smaller than the high threshold and larger than the low threshold, maintaining the current target outer loop value unchanged. The high threshold and the low threshold are preset values and can be obtained according to historical experience; the high threshold and the low threshold can be adaptively adjusted according to actual conditions.
In one embodiment, a high threshold deltamcsol_hthr value of 1 and a low threshold deltamcsol_lthr value of-1 are set. The current outer loop value mcsolcurent takes a value of-2. The equivalent spectral efficiency of the outer loop value 0 is highest, and the outer loop value 0 is the optimal outer loop value. And determining the updating direction of the target outer ring value as the sum of the current target outer ring value and the third updating step size. The third updating Step is a preset fixed Step step_mcsol, and the fixed Step step_mcsol takes a value of 1. By the following formula: mcsolcurent '=mcsolcurent+step_mcsol= -2+1= -1, where mcsolcurent' represents the target outer-loop value, the target outer-loop value can be calculated as-1.
Corresponding to step S400, a target MCS level is determined according to the updated target block error rate and the updated target outer loop value, so that the target MCS level is more matched with the current channel condition, thereby improving the spectrum efficiency of the system.
An embodiment of the present invention further provides an adaptive modulation and coding apparatus. Referring to fig. 5, fig. 5 is a block diagram of the adaptive modulation and coding apparatus. The adaptive modulation and coding apparatus includes a scheduling module 410, an optimal outer loop value determining module 420, an updating module 430, and a target MCS level determining module 440.
The scheduling module 410 is configured to schedule a first MCS scheduling policy and at least one second MCS scheduling policy in different proportions, and generate a plurality of outer-loop values in a scheduling process, where the first MCS scheduling policy and the second MCS scheduling policy each include at least one MCS, and an MCS level of the second MCS scheduling policy is greater than an MCS level of the first MCS scheduling policy; the optimal outer-loop value determining module 420 is configured to determine an optimal outer-loop value from a plurality of the outer-loop values; the updating module 430 is configured to update the target block error rate and the target outer-loop value according to the optimal outer-loop value; the target MCS level determining module 440 is configured to determine a target MCS level according to the target block error rate and the target outer loop value.
It can be understood that the content in the embodiment of the adaptive modulation and coding method is applicable to the embodiment of the adaptive modulation and coding device; the modules of the embodiment of the adaptive modulation and coding device are in one-to-one correspondence with the steps of the embodiment of the adaptive modulation and coding method, the specific functions of the embodiment of the adaptive modulation and coding device are the same as those of the embodiment of the adaptive modulation and coding method, and the achieved beneficial effects are the same as those of the embodiment of the adaptive modulation and coding method.
An embodiment of the present invention also provides a base station. Referring to fig. 6, fig. 6 is a block diagram of a base station. Specifically, the base station includes: one or more processors 510 and a memory 520, one processor 510 and memory 520 being illustrated in fig. 5. The processor 510 and the memory 520 may be connected by a bus or otherwise, for example in fig. 5.
The memory 520 serves as a non-transitory computer readable storage medium storing a non-transitory software program and a non-transitory computer executable program, such as the adaptive modulation and coding method in the above-described embodiments of the present invention. The processor 510 implements the adaptive modulation and coding method in the above-described embodiments of the present invention by running a non-transitory software program stored in the memory 520 as well as the program.
Memory 520 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data and the like required to perform the adaptive modulation and coding method in the above-described embodiment of the present invention. In addition, the memory 520 may include high-speed random access memory 520, and may also include non-transitory memory 520, such as at least one disk memory 520, flash memory device, or other non-transitory solid state memory 520. In some embodiments, memory 520 may optionally include memory 520 located remotely from processor 510, such remote memory 520 being connectable to the terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The non-transitory software program and the program required to implement the adaptive modulation and coding method in the above-described embodiment of the present invention are stored in the memory 520, and when executed by the one or more processors 510, the adaptive modulation and coding method in the above-described embodiment of the present invention is executed, for example, the steps S100 to S400 in fig. 1, the steps S210 to S230 in fig. 2, the steps S211 to S213 in fig. 3, and the steps S221 to S222 in fig. 4 described above are executed. The base station schedules a first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, a plurality of outer loop values are generated in the scheduling process, and the MCS level of the second MCS scheduling strategy is larger than that of the first MCS scheduling strategy; determining an optimal outer-loop value from the plurality of outer-loop values; updating the target block error rate and the target outer loop value according to the optimal outer loop value; determining a target MCS level according to the target block error rate and the target outer loop value; the target block error rate and the outer loop value can be adaptively adjusted, so that the MCS level is more matched with the current channel condition, and the spectrum efficiency is improved.
The node embodiments described above are merely illustrative, in that the elements illustrated as separate components may or may not be physically separate, i.e., may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Furthermore, an embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions that are executed by a processor or controller, for example, by a processor, and that may cause the processor to perform the adaptive modulation and coding method in the above embodiment, for example, perform steps S100 to S400 in fig. 1, steps S210 to S230 in fig. 2, and steps S211 to S213 in fig. 3, and steps S221 to S222 in fig. 4 described above. Further, the first MCS scheduling strategy and at least one second MCS scheduling strategy are scheduled according to different proportions, a plurality of outer loop values are generated in the scheduling process, and the MCS level of the second MCS scheduling strategy is larger than that of the first MCS scheduling strategy; determining an optimal outer-loop value from the plurality of outer-loop values; updating the target block error rate and the target outer loop value according to the optimal outer loop value; determining a target MCS level according to the target block error rate and the target outer loop value; the target block error rate and the outer loop value can be adaptively adjusted, so that the MCS level is more matched with the current channel condition, and the spectrum efficiency is improved.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
Claims (10)
1. An adaptive modulation and coding method, comprising:
a third MCS scheduling strategy is constructed by scheduling a first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, and a plurality of outer loop values are generated in the scheduling process, wherein the outer loop values correspond to the MCS level of the third MCS scheduling strategy, the first MCS scheduling strategy and the second MCS scheduling strategy both comprise at least one MCS, and the MCS level of the second MCS scheduling strategy is greater than the MCS level of the first MCS scheduling strategy;
determining an optimal outer loop value from a plurality of the outer loop values;
updating a target block error rate and a target outer loop value according to the optimal outer loop value;
and determining a target MCS level according to the target block error rate and the target outer loop value.
2. The adaptive modulation and coding method according to claim 1, wherein said determining an optimal outer-loop value from among a plurality of said outer-loop values comprises:
for each outer loop value, calculating the block error rate of the outer loop value in the period;
for each outer loop value, calculating an objective function value corresponding to the outer loop value in a period according to the MCS level and the block error rate of the third MCS scheduling strategy corresponding to the outer loop value;
and determining an optimal outer loop value from a plurality of outer loop values according to the objective function value.
3. The adaptive modulation and coding method according to claim 2, wherein calculating the block error rate of each outer loop value in the period comprises:
receiving positive acknowledgement and negative acknowledgement fed back by the user equipment;
counting a first feedback number corresponding to the positive acknowledgement and a second feedback number corresponding to the negative acknowledgement;
and obtaining the block error rate of the outer loop value according to the first feedback number and the second feedback number.
4. The adaptive modulation and coding method according to claim 3, wherein the parameter determining one of the periods is at least one of: the total scheduling times of all the MCSs, the total scheduling time of all the MCSs, the total feedback times of the positive acknowledgement and the negative acknowledgement, and the total number of the outer loop values meeting a preset statistical requirement.
5. The adaptive modulation and coding method according to claim 2, wherein the objective function value includes an equivalent spectral efficiency; the calculating the objective function value corresponding to the outer loop value in the period according to the MCS level and the block error rate of the third MCS scheduling policy corresponding to the outer loop value includes:
obtaining the spectrum efficiency of the third MCS scheduling strategy according to the MCS level of the third MCS scheduling strategy;
and obtaining the equivalent spectrum efficiency according to the spectrum efficiency and the block error rate.
6. The adaptive modulation and coding method according to claim 1, wherein updating the target block error rate according to the optimal outer loop value comprises:
according to the block error rate corresponding to the optimal outer loop value, the current target block error rate and a preset step length updating coefficient, a first updating step length of the target block error rate is obtained, and the target block error rate is updated to be the sum of the current target block error rate and the first updating step length;
or updating the target block error rate to be the sum of the current target block error rate and a second updating step length, or updating the target block error rate to be the difference between the current target block error rate and the second updating step length, or keeping the target block error rate to be the current target block error rate according to the comparison relation between the block error rate of the optimal outer loop value and the current target block error rate; the second updating step length is a preset fixed step length corresponding to the target block error rate.
7. The adaptive modulation and coding method according to claim 1, wherein updating the target outer-loop value according to the optimal outer-loop value comprises:
updating the target outer loop value to the optimal outer loop value;
or updating the target outer loop value to be the sum of the current target outer loop value and a third updating step length according to the comparison relation between the optimal outer loop value and the current target outer loop value, or updating the target outer loop value to be the difference between the current target outer loop value and the third updating step length, or keeping the target outer loop value to be the current target outer loop value; the third updating step length is a preset fixed step length corresponding to the target outer ring value or a variable step length determined by the optimal outer ring value and the current target outer ring value.
8. An adaptive modulation and coding apparatus, comprising:
the scheduling module is used for scheduling a first MCS scheduling strategy and at least one second MCS scheduling strategy in different proportions, and generating a plurality of outer loop values in the scheduling process, wherein the first MCS scheduling strategy and the second MCS scheduling strategy both comprise at least one MCS, and the MCS level of the second MCS scheduling strategy is greater than the MCS level of the first MCS scheduling strategy;
the optimal outer ring value determining module is used for determining an optimal outer ring value from a plurality of outer ring values;
the updating module is used for updating the target block error rate and the target outer loop value according to the optimal outer loop value;
and the target MCS level determining module is used for determining a target MCS level according to the target block error rate and the target outer loop value.
9. A base station, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the adaptive modulation and coding method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium storing computer-executable instructions for performing the adaptive modulation and coding method according to any one of claims 1 to 7.
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| WO2017088147A1 (en) * | 2015-11-26 | 2017-06-01 | 华为技术有限公司 | Method and base station for realizing adaptive modulation and coding |
| CN107465482A (en) * | 2016-06-03 | 2017-12-12 | 中兴通讯股份有限公司 | A kind of modulation coding mode MCS determination method and device |
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