CN112636891B - Resource scheduling parameter adjusting method and device, storage medium and electronic device - Google Patents
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Abstract
The embodiment of the invention provides a method, a device, a storage medium and an electronic device for adjusting resource scheduling parameters, wherein the method comprises the following steps: receiving feedback information sent by target equipment; determining an initialization parameter corresponding to the feedback information and a stepping factor corresponding to the feedback information; determining a first Channel Quality Indication (CQI) parameter of a target channel based on the initialization parameter and the stepping factor, wherein the target channel is a channel for data communication between target equipment and a target base station; receiving a second CQI parameter of a target channel sent by target equipment; determining a target interval where the second CQI parameter is located, and determining a target filtering mode based on the target interval; processing the first Channel Quality Indication (CQI) parameter and the second CQI parameter based on a target filtering mode to determine a third CQI parameter; and adjusting the resource scheduling parameter of the target channel based on the third CQI parameter. The invention solves the problem of unreasonable resource scheduling parameter adjustment in the related technology.
Description
Technical Field
The embodiment of the invention relates to the field of communication, in particular to a method and a device for adjusting resource scheduling parameters, a storage medium and an electronic device.
Background
An AMC (Adaptive Modulation and Coding) controller is an important function of a LTE (Long Term Evolution) and nr (new radio) system scheduler, and implements optimization processing of time and frequency resources by adaptively adjusting Modulation and Coding modes of uplink and downlink channels. Therefore, the quality of the AMC performance directly determines the scheduling performance of the base station, and further affects the user experience.
AMC realizes the optimal performance mainly through the information feedback condition of the terminal side and a certain algorithm scheduling strategy according to LTE and NR standard protocols. The uplink scheduling mainly utilizes the channel measurement information and demodulation information of the base station side, and the downlink scheduling mainly utilizes the terminal demodulation and the feedback of the measurement information to realize. The measurement information processing flow is generally classified into an outer loop processing, and the demodulation information processing flow is classified into an inner loop processing. The following description takes downlink scheduling as an example:
a functional diagram of the location of an AMC controller in a system can be seen in figure 1,
inner ring treatment:
(1) the terminal side decodes the received data and feeds back the demodulation result to the base station through a traffic channel PUSCH (physical uplink shared control channel) or PUCCH (physical uplink control channel).
(2) And the base station side corrects the information into CQI (channel quality indication) according to the received ACK/NACK information by combining the difference between the target BLER (bit error rate, NACK/(ACK + NACK)) and the actual BLER and the fault-tolerant factor.
Outer ring processing:
(1) the terminal side selects the optimal CQI information according to the reference signal measurement information obtained by the downlink channel estimation, such as the signal to noise ratio SINR value, through linear smoothing and channel quality indication mapping, and feeds back the optimal CQI information to the base station.
(2) And the base station side obtains the actual effective CQI by combining the inner ring processing result correction value according to the reported CQI information. And performing linear smoothing on the effective CQI value to obtain a time smoothing value, and generating scheduling parameters MCS and RB parameters by using the value and combining with the downlink data volume.
Generally, for the inner loop, as the modulation order increases, the demodulation performance is more sensitive to modulation information, so that the variation of the channel condition cannot be well reflected by adopting a fixed fault-tolerant factor. For the outer loop, the fast fading condition of the wireless channel environment needs to be tracked in real time, although SINR can reflect the channel variation condition, the real-time performance of modulation information modulation is weakened through the smoothing filtering at the terminal side, the CQI time smoothing of the base station and the CQI feedback cycle hysteresis of the channel itself.
Therefore, the problem that the resource scheduling parameter is unreasonable to adjust exists in the related art.
Disclosure of Invention
The embodiment of the invention provides a method and a device for adjusting resource scheduling parameters, a storage medium and an electronic device, which are used for at least solving the problem that the resource scheduling parameters are unreasonable to adjust in the related art.
According to an embodiment of the present invention, a method for adjusting resource scheduling parameters is provided, including: receiving feedback information sent by target equipment; determining an initialization parameter corresponding to the feedback information and a step factor corresponding to the feedback information; determining a first Channel Quality Indication (CQI) parameter of a target channel based on the initialization parameter and the step factor, wherein the target channel is a channel for data communication between the target device and a target base station; receiving a second CQI parameter of the target channel sent by the target equipment; determining a target interval where the second CQI parameter is located, and determining a target filtering mode based on the target interval; processing the first Channel Quality Indication (CQI) parameter and the second CQI parameter based on the target filtering mode to determine a third CQI parameter; adjusting a resource scheduling parameter of the target channel based on the third CQI parameter.
According to another embodiment of the present invention, an apparatus for adjusting resource scheduling parameters is provided, including: the first receiving module is used for receiving feedback information sent by target equipment; a first determining module, configured to determine an initialization parameter corresponding to the feedback information and a step factor corresponding to the feedback information; a second determining module, configured to determine, based on the initialization parameter and the step factor, a first Channel Quality Indicator (CQI) parameter of a target channel, where the target channel is a channel through which the target device performs data communication with a target base station; a second receiving module, configured to receive a second CQI parameter of the target channel sent by the target device; a third determining module, configured to determine a target interval in which the second CQI parameter is located, and determine a target filtering manner based on the target interval; a processing module, configured to process the first channel quality indication CQI parameter and the second CQI parameter based on the target filtering manner to determine a third CQI parameter; an adjusting module, configured to adjust a resource scheduling parameter of the target channel based on the third CQI parameter.
According to yet another embodiment of the invention, there is also provided a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method of any of the above.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the feedback information sent by the target equipment is received, the initialization parameter corresponding to the feedback information and the step factor corresponding to the feedback information are determined, and the first channel quality indication CQI parameter of the target channel is determined according to the initialization parameter and the step factor. Receiving a second CQI parameter of target information sent by target equipment, determining a target interval in which the second CQI parameter is positioned, determining a target filtering mode according to the target interval, processing the first CQI parameter and the second CQI parameter according to the target filtering mode to determine a third CQI parameter, and adjusting a resource scheduling parameter of a target channel according to the third CQI parameter. The method comprises the steps of determining a first Channel Quality Indication (CQI) parameter of a target channel according to an initialization parameter and a step factor, reducing the influence of fast fading, maintaining high-performance stability, adopting different filtering modes for second CQI parameters in different intervals, adopting a dynamic filtering strategy to track the fast fading condition of a wireless channel environment in real time, further determining an accurate third CQI parameter, determining a resource scheduling parameter by using the third CQI parameter, and improving scheduling performance. Therefore, the problem that resource scheduling parameters are unreasonable to adjust in the related art can be solved, the effect of optimizing and adjusting the resource scheduling parameters is achieved, scheduling performance is improved, and user experience is improved.
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FIG. 1 is a functional diagram of the location of an AMC controller in a system;
fig. 2 is a block diagram of a hardware structure of a mobile terminal of a method for adjusting resource scheduling parameters according to an embodiment of the present invention;
fig. 3 is a flowchart of an adjusting method of a resource scheduling parameter according to an embodiment of the present invention;
FIG. 4 is a flow diagram of an inner loop processing strategy for step adjustment according to an exemplary embodiment of the present invention;
FIG. 5 is a flow diagram of an outer loop processing strategy for segmented filtering in accordance with an exemplary embodiment of the present invention;
FIG. 6 is a flowchart of a method for adjusting resource scheduling parameters according to an embodiment of the present invention;
fig. 7 is a block diagram of an apparatus for adjusting resource scheduling parameters according to an embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the operation on the mobile terminal as an example, fig. 2 is a block diagram of a hardware structure of the mobile terminal of the method for adjusting resource scheduling parameters according to the embodiment of the present invention. As shown in fig. 2, the mobile terminal may include one or more (only one shown in fig. 2) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may further include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 2 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG. 2, or have a different configuration than shown in FIG. 2.
The memory 104 may be used to store a computer program, for example, a software program and a module of an application software, such as a computer program corresponding to the resource scheduling parameter adjusting method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal over 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 transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In this embodiment, a method for adjusting a resource scheduling parameter is provided, and fig. 3 is a flowchart of a method for adjusting a resource scheduling parameter according to an embodiment of the present invention, as shown in fig. 3, the flowchart includes the following steps:
step S302, receiving feedback information sent by target equipment;
step S304, determining an initialization parameter corresponding to the feedback information and a step factor corresponding to the feedback information;
step S306, determining a first Channel Quality Indicator (CQI) parameter of a target channel based on the initialization parameter and the step factor, wherein the target channel is a channel for data communication between the target device and a target base station;
step S308, receiving a second CQI parameter of the target channel sent by the target device;
step S310, determining a target interval where the second CQI parameter is located, and determining a target filtering mode based on the target interval;
step S312, processing the first CQI parameter and the second CQI parameter based on the target filtering manner to determine a third CQI parameter;
step S314, adjusting the resource scheduling parameter of the target channel based on the third CQI parameter.
In the above embodiments, the target device may be a terminal device, for example, a mobile phone, a computer, a tablet computer, a smart wearable device, and the like. After receiving the data sent by the base station, the target device may decode the received data, and send feedback information to the base station according to the decoding result. The feedback information may be ACK or NACK. After receiving the feedback information, the base station may determine an initialization parameter corresponding to the feedback information and a step factor corresponding to the feedback information, and determine a first CQI parameter according to the initialization parameter and the step factor.
In the above embodiment, steps S302-S306 may be inner loop adjustment. The inner loop adjustment is mainly adjusted based on a block Error rate (bler) and a block Error rate (block Error rate), and considering that the higher the modulation order is, the larger the demodulation performance varies with the order adjustment, in order to reduce the performance fluctuation caused by the modulation order increase, the inner loop adjustment can be realized by increasing the fault-tolerant factor. Meanwhile, in order not to change the desired target value of the target BLER, the variation of the fault tolerance factor needs to be limited. The purpose of reducing performance fluctuation caused by modulation order promotion can be achieved by scaling the positive factor and the negative factor fluctuation quantity in equal proportion. Combining modulation order change information, setting CQI as 1 as an initial default value, and increasing the fault-tolerant factor by 0.1 time step by step every time when the CQI value is raised by one step according to the reported CQI value, so that after the proportional scaling, the invariance of BLER is kept, the ratio of NACK/(ACK + NACK) after the proportional scaling is unchanged, the influence of channel quality change can be reflected, and further the influence is reflected in the modulation order information scheduled by the base station.
In the above embodiment, when the feedback information is ACK information, the step factor may be 1, the initial value of the ACK information may be 10, and the initialization parameter corresponding to the ACK information may be TableAck [15] = {10,11,12,13,14,15,16,17,18,19,20,21,22,23,24}, and when the feedback information is NACK information, the step factor may be 9, and the initial value of the NACK information may be 90, and TableNack [15] = {90,99,108,117,126,135,144,153,162,171,180,189,198,207,216 }. It should be noted that the above step factor and initialization parameter are only an exemplary illustration, the step factor and initialization parameter are not limited by the present invention, and those skilled in the art can customize the step factor and initialization parameter.
In the above embodiment, steps S308-S312 may be outer loop adjustment. The outer loop adjustment is based mainly on the received CQI information (corresponding to the second CQI parameter) and the correction amount (corresponding to the first CQI parameter), and performs time smoothing. Considering the difference of different channel environments on the real-time requirement, the design is carried out by adopting a sectional interval processing mode, thus the effect of dynamic self-adaption can be achieved, and the performance of the AMC controller of the scheduler is improved.
Optionally, the main body of the above steps may be a base station, but is not limited thereto.
According to the invention, the feedback information sent by the target equipment is received, the initialization parameter corresponding to the feedback information and the step factor corresponding to the feedback information are determined, and the first channel quality indication CQI parameter of the target channel is determined according to the initialization parameter and the step factor. Receiving a second CQI parameter of target information sent by target equipment, determining a target interval in which the second CQI parameter is positioned, determining a target filtering mode according to the target interval, processing the first CQI parameter and the second CQI parameter according to the target filtering mode to determine a third CQI parameter, and adjusting a resource scheduling parameter of a target channel according to the third CQI parameter. The method comprises the steps of determining a first Channel Quality Indication (CQI) parameter of a target channel according to an initialization parameter and a step factor, reducing the influence of fast fading, maintaining high-performance stability, adopting different filtering modes for second CQI parameters in different intervals, adopting a dynamic filtering strategy to track the fast fading condition of a wireless channel environment in real time, further determining an accurate third CQI parameter, determining a resource scheduling parameter by using the third CQI parameter, and improving scheduling performance. Therefore, the problem that resource scheduling parameters are unreasonable to adjust in the related art can be solved, the effect of optimizing and adjusting the resource scheduling parameters is achieved, scheduling performance is improved, and user experience is improved.
In one exemplary embodiment, determining a first channel quality indication, CQI, parameter for a target channel based on the initialization parameter and the step factor comprises: determining a target period for adjusting the resource scheduling parameter based on the initialization parameter; determining a first error rate of the received feedback information; determining a periodic bit error rate based on the first bit error rate and the target period; determining the first channel quality indication, CQI, parameter based on the periodic bit error rate. In this embodiment, when receiving the feedback information, a first error rate of the received feedback information may be determined, and a periodic error rate may be determined according to the first error rate and the target period. The target period may be the sum of the initial value of the ACK information and the initial value of the NACK information, that is, the target period may be determined according to the initialization parameter. Of course, the target period may be determined first, and then the initial value of the ACK information and the initial value of the NACK information, that is, ACK initial value (the initial value of the ACK information) + NACK initial value (the initial value of the NACK information) = the adjustment period amount (the target period) may be determined according to the target period.
In one exemplary embodiment, determining a first bit error rate of the received feedback information comprises: determining an index position of the feedback information; determining a first index value of ACK information corresponding to the index position and a second index value of NACK information corresponding to the index position based on the initialization parameter and the step factor, wherein the feedback information comprises the ACK information and the NACK information; determining an index sum of the first index value and the second index value; determining a first ratio of the first index value to the index sum under the condition that the feedback information is ACK information, and determining a difference between the first ratio and the first index value as the first error rate; and under the condition that the feedback information is NACK information, determining a second ratio of the second index value to the index sum, and determining the sum of the second ratio and the second index value as the first error rate. In this embodiment, when the feedback information is ACK information, the expression of the first error rate may be CurrentBler = CurrentBler-TableAck [ CQI ]. Here, CurrentBler is the first error rate, TableAck [ CQI ] is an array, the index value is the latest CQI time reported value, and TableAck [15] = {10,11,12,13,14,15,16,17,18,19,20,21,22,23,24 }. When the feedback information is NACK information, the expression of the first error rate may be CurrentBler = CurrentBler + TableNack [ CQI ]. Wherein, TableNack [ CQI ] is an array, the index value is a CQI latest time report value, TableNack [15] = {90,99,108,117,126,135,144,153,162,171,
180,189,198,207,216}. When the feedback information is ACK information,
i.e. by
(ii) a When the feedback information is NACK information,
i.e. by
. Wherein the content of the first and second substances,
the initial value of the first error rate may be set to 0.
In the above embodiment, the TableAck [15], TableNock [15] fault tolerance factors are designed only with the ACK initial value of 10, step 1, NACK initial value of 90, and step 9. In fact, as long as the initial value ACK initial + NACK initial = adjustment period amount (target period) is satisfied, the target period of 100 is only an exemplary illustration, and the ACK initial and NACK initial step adjustment scale factors are the same, for example, 0.1 (the value is only an exemplary illustration), and are all full
Foot formula
(Here only the intermediate conversion relation is public
Formula, not BLER-defined formula) is possible. The target error rate may be a preset value, for example, may be set to 10 (that is, the step factor 10% target is enlarged by 100 times), and it should be noted that this value is only an exemplary illustration, and the target error rate may be adjusted according to the channel environment condition.
In the above-described embodiment, when TableAck [15] = {10,11,12,13,14,15,16,17,18,19,20,
21,22,23,24}，TableNack[15]={90,99,108,117,126,135,144,153,162,171,180,
189,198,207,216, when the feedback information is ACK [2], it can be confirmed that the index position corresponding to the feedback information is 2, the first index value is 11, and the second index value is 99.
In one exemplary embodiment, determining a periodic bit error rate based on the first bit error rate and the target period comprises: determining a target error rate of the feedback information; determining a first difference between the target error rate and the first error rate; determining a ratio of the first difference to the target period
Is the periodic bit error rate. In this embodiment, after the adjustment period is reached, the periodic bit error rate within the period may be calculated. The periodic bit error rate can be used
And (4) showing.
Here, Period (target Period) may be 100, that is, the sum of ACK initial value + NACK initial value.
In one exemplary embodiment, determining the first channel quality indication, CQI, parameter based on the periodic bit error rate comprises: determining a second difference value between the target error rate and the periodic error rate; determining a first product of the second difference and a first constant; and determining the sum of the first product and a historical CQI parameter as the first channel quality indicator CQI parameter, wherein the historical CQI parameter is a preset initial CQI parameter under the condition that the resource scheduling parameter is adjusted for the first time, and the historical CQI parameter is a CQI parameter determined when the resource scheduling parameter is adjusted for the previous time under the condition that the resource scheduling parameter is adjusted for the non-first time. In this embodiment, the first CQI parameter (i.e., the CQI information adjustment amount) may be represented by CqiCorrectVlaue = CqiCorrectVlaue + (TargerBler-PeriodBler) × alpha, where alpha is a correction factor, and may be scaled by a certain ratio based on ACK initvalue, and may be set to 1.1 to 1.5, or may be adjusted by setting another value according to an actual environment, which is not limited in this embodiment.
In the above embodiment, the initial value of the CqiCorrectVlaue may be set to 0, that is, the initial CQI parameter may be 0, and when the resource scheduling parameter is adjusted for the first adjustment, the CqiCorrectVlaue = (TargerBler-PeriodBler) × alpha. When the resource scheduling parameter is adjusted for the non-first time, the CqiCorrectVlaue is the sum of the historical CQI parameter obtained in the previous adjustment and (TargerBler-PeriodBler) × alpha.
In the above embodiment, the flowchart of the inner loop processing strategy for step adjustment can be seen in fig. 4, as shown in fig. 4, the flowchart includes:
step S402, initializing information variables;
step S404, determining the type of the received feedback information, executing step S406 if the feedback information is determined to be ACK information, and executing step S408 if the feedback information is determined to be NACK information;
step S406, calculating the error rate (corresponding to the first error rate) after the ACK stepping adjustment according to the CQI information;
step S408, calculating the error rate (corresponding to the first error rate) after NACK stepping adjustment according to the CQI information;
step S410, calculating the error rate in a period (corresponding to the error rate in the period);
in step S412, a CQI information correction amount (corresponding to the first channel quality indicator CQI parameter) is calculated.
In an exemplary embodiment, determining a target interval in which the second CQI parameter is located, and determining a target filtering manner based on the target interval includes: determining a modulation mode used for data communication with the target device when receiving the second CQI parameter; dividing the second CQI parameters corresponding to the same modulation mode into one target interval; determining the target filtering mode to be a dynamic filtering mode under the condition that the modulation mode corresponding to the target interval is QPSK modulation or 64QAM modulation; and under the condition that the modulation mode corresponding to the target interval is 16QAM modulation, determining that the target filtering mode is linear smooth filtering. In this embodiment, the received CQI value ReceiveCqi (corresponding to the second CQI parameter described above) may be divided into intervals according to the modulation scheme. According to the 4-bit CQI table (shown in Table 1), CQI can be divided into three sections, namely a CQI1 section [1, 6], a CQI2 section [7, 9] and a CQI3 section [10, 15], and the performance is most stable when the CQI falls in 16QAM, so that the value of the CQI2 section is designed to be linear smooth filtering, and the CQI1 section and the CQI3 section are designed to be dynamic filtering. Wherein, the 4bit CQI table is a 7.2.3-1 table in the LTE standard protocol 36213:
table 14 bit CQI table
In one exemplary embodiment, processing the first channel quality indication, CQI, parameter and the second CQI parameter based on the target filtering manner to determine the third CQI parameter comprises: determining a first parameter sum of the first channel quality indication, CQI, parameter and the second CQI parameter; determining a third difference between the first parameter sum and a historical parameter sum under the condition that the target filtering mode is determined to be a dynamic filtering mode, wherein the historical parameter sum is a parameter sum determined based on an initial first Channel Quality Indicator (CQI) parameter and an initial second CQI parameter under the condition that the resource scheduling parameter is adjusted for the first time, and the historical parameter sum is a parameter sum determined when the resource scheduling parameter is adjusted for the previous time under the condition that the resource scheduling parameter is adjusted for a non-first time; determining a third ratio of a sum of the third difference and a historical third difference to a second constant, wherein the historical third difference is a difference determined based on an initial first Channel Quality Indicator (CQI) parameter and an initial second CQI parameter when the resource scheduling parameter is adjusted for a first time, and the historical third difference is a difference determined when the resource scheduling parameter was adjusted for a previous time when the resource scheduling parameter is adjusted for a non-first time; determining a sum of the first parameter sum, the third difference value, and the third ratio as the third CQI parameter. In this embodiment, the effective CQI parameter may be determined according to the first CQI parameter and the second CQI parameter, that is, the current effective CQI value (corresponding to the first parameter sum), effective CQI (first parameter sum) = ReceiveCqi (second CQI parameter) + CqiCorrectVlaue (first CQI parameter) may be determined by receiving the CQI value (corresponding to the second CQI parameter) and the previously calculated inner loop correction CQI value (corresponding to the first CQI parameter sum). Then, the receiving section of the current received CQI value is judged, and if the receiving section falls into the section of CQI1 and CQI3, delacaqi (i) = EffectCqi (i) -EffectCqi (i-1), where EffectCqi (i) is the current effective CQI value, and EffectCqi (i-1) is the effective CQI value at the previous time (corresponding to the above-mentioned historical parameter sum). The scheduling usage CQI value ResultCqi (third CQI parameter) may be expressed as
The information in the formula contains dynamic change information and has nonlinear filtering characteristics, so that the method is suitable for complex channel environments and fast fading environment conditions.
In one exemplary embodiment, processing the first channel quality indication, CQI, parameter and the second CQI parameter based on the target filtering manner to determine the third CQI parameter comprises: determining a first parameter sum of the first channel quality indication, CQI, parameter and the second CQI parameter; determining a fourth ratio of a third constant to a fourth constant when the target filtering mode is determined to be a linear smooth filtering mode; determining a first product of the fourth ratio and a historical third CQI parameter, wherein the historical third CQI parameter is an initial third CQI parameter when the resource scheduling parameter is adjusted for the first time, and the historical third CQI parameter is a third CQI parameter determined when the resource scheduling parameter is adjusted for the previous time when the resource scheduling parameter is adjusted for the non-first time; determining a second product of a fourth difference value and the first parameter sum, wherein the fourth difference value is a difference value of a fifth constant and the fourth ratio; determining a sum of the first product and the second product as the third CQI parameter. In this embodiment, if the second CQI parameter falls within the CQI2 interval, a linear smoothing filtering method is used. The third CQI parameter may be expressed as
In the above embodiment, the flow chart of the outer loop processing strategy of the segmented filtering can be seen in fig. 5, as shown in fig. 5, the flow chart includes:
step S502, determining the current effective CQI (corresponding to the first parameter sum);
step S504 of determining a CQI received value (corresponding to the second CQI parameter) interval, and if the CQI received value is in the CQI1 interval and the CQI3 interval, executing step S506, and if the CQI received value is in the CQI2 interval, executing step S508;
step S506, determining a third CQI parameter by utilizing dynamic adaptive filtering;
step S508, determining a third CQI parameter by utilizing linear smooth filtering;
step S510, mapping MCS by using a third CQI parameter;
in step S512, a scheduling parameter (corresponding to the resource scheduling parameter) is generated.
In an exemplary embodiment, after determining the third CQI, MCS resource mapping may be performed, and table 1 may be subjected to translation expansion to satisfy the one-to-one requirement of mapping CQI → MCS, where the CQI-MCS mapping table may be referred to as table 2. And combined with the LTE standard protocol 36.213 table 7.1.7.1-1 (as shown in table 3), the final MCS/RB scheduling parameters are generated.
TABLE 2 CQI-MCS mapping table
TABLE 3
The following describes a flow of a method for adjusting resource scheduling parameters with reference to a specific embodiment:
fig. 6 is a flowchart of a method for adjusting resource scheduling parameters according to an embodiment of the present invention, as shown in fig. 6, the flowchart includes:
step S602, inner loop processing based on received feedback information (ACK/NACK), namely adjustment of stepping fault-tolerant factors;
step S604, outer loop processing based on dynamic segmented filtering;
step S606, determining the scheduling parameters such as MCS/RB.
It should be noted that AMC mainly implements performance optimization through a certain algorithm scheduling policy according to LTE and NR standard protocols and through terminal-side information feedback conditions. The uplink scheduling mainly utilizes the channel measurement information and demodulation information of the base station side, and the downlink scheduling mainly utilizes the terminal demodulation and the feedback of the measurement information to realize. The methods described in the foregoing embodiments may be used in uplink scheduling or downlink scheduling.
In the foregoing embodiment, based on the basic functional principle of the AMC, a segment dynamic adaptive method is designed for the outer loop processing of the AMC controller, and a step adjustment method is designed for the inner loop processing, so that the impact of fast fading can be reduced while the high-performance stability is maintained, the above-mentioned deficiencies of the AMC controller are improved, the effectiveness of the policy of the AMC controller is improved, the processing performance and efficiency of the whole base station receiver are improved, and the user perception is improved. The scheduling algorithm strategy of the invention is applicable to systems such as LTE, NR and the like.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
In this embodiment, a device for adjusting resource scheduling parameters is further provided, where the device is used to implement the foregoing embodiments and preferred embodiments, and details are not repeated for what has been described. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 7 is a block diagram of an apparatus for adjusting resource scheduling parameters according to an embodiment of the present invention, and as shown in fig. 7, the apparatus includes:
a first receiving module 702, configured to receive feedback information sent by a target device;
a first determining module 704, configured to determine an initialization parameter corresponding to the feedback information and a step factor corresponding to the feedback information;
a second determining module 706, configured to determine, based on the initialization parameter and the step factor, a first Channel Quality Indicator (CQI) parameter of a target channel, where the target channel is a channel for data communication between the target device and a target base station;
a second receiving module 708, configured to receive a second CQI parameter of the target channel sent by the target device;
a third determining module 710, configured to determine a target interval where the second CQI parameter is located, and determine a target filtering manner based on the target interval;
a processing module 712, configured to process the first CQI parameter and the second CQI parameter based on the target filtering manner to determine a third CQI parameter;
an adjusting module 714, configured to adjust the resource scheduling parameter of the target channel based on the third CQI parameter.
In an exemplary embodiment, the second determining module 704 may determine the first channel quality indication CQI parameter of the target channel based on the initialization parameter and the step factor by: determining a target period for adjusting the resource scheduling parameter based on the initialization parameter; determining a first error rate of the received feedback information; determining a periodic bit error rate based on the first bit error rate and the target period; determining the first channel quality indication, CQI, parameter based on the periodic bit error rate.
In an exemplary embodiment, the second determining module 704 may determine the first error rate of the received feedback information by: determining an index position of the feedback information;
determining a first index value of ACK information corresponding to the index position and a second index value of NACK information corresponding to the index position based on the initialization parameter and the step factor, wherein the feedback information comprises the ACK information and the NACK information; determining an index sum of the first index value and the second index value; determining a first ratio of the first index value to the index sum under the condition that the feedback information is ACK information, and determining a difference between the first ratio and the first index value as the first error rate; and under the condition that the feedback information is NACK information, determining a second ratio of the second index value to the index sum, and determining the sum of the second ratio and the second index value as the first error rate.
In an exemplary embodiment, the second determining module 704 may determine the periodic bit error rate based on the first bit error rate and the target period by: determining a target error rate of the feedback information; determining a first difference between the target error rate and the first error rate; and determining the ratio of the first difference to the target period as the period error rate.
In an exemplary embodiment, the second determining module 704 may determine the first channel quality indicator, CQI, parameter based on the periodic bit error rate by: determining a second difference value between the target error rate and the periodic error rate; determining a first product of the second difference and a first constant; and determining the sum of the first product and a historical CQI parameter as the first channel quality indicator CQI parameter, wherein the historical CQI parameter is a preset initial CQI parameter under the condition that the resource scheduling parameter is adjusted for the first time, and the historical CQI parameter is a CQI parameter determined when the resource scheduling parameter is adjusted for the previous time under the condition that the resource scheduling parameter is adjusted for the non-first time.
In an exemplary embodiment, the third determining module 710 may determine the target interval of the second CQI parameter, and determine the target filtering manner based on the target interval by: determining a modulation mode used for data communication with the target device when receiving the second CQI parameter; dividing the second CQI parameters corresponding to the same modulation mode into one target interval; determining the target filtering mode to be a dynamic filtering mode under the condition that the modulation mode corresponding to the target interval is QPSK modulation or 64QAM modulation; and under the condition that the modulation mode corresponding to the target interval is 16QAM modulation, determining that the target filtering mode is linear smooth filtering.
In an exemplary embodiment, the processing module 712 may implement the processing of the first channel quality indication CQI parameter and the second CQI parameter based on the target filtering manner to determine the third CQI parameter by: determining a first parameter sum of the first channel quality indication, CQI, parameter and the second CQI parameter; determining a third difference between the first parameter sum and a historical parameter sum under the condition that the target filtering mode is determined to be a dynamic filtering mode, wherein the historical parameter sum is a parameter sum determined based on an initial first Channel Quality Indicator (CQI) parameter and an initial second CQI parameter under the condition that the resource scheduling parameter is adjusted for the first time, and the historical parameter sum is a parameter sum determined when the resource scheduling parameter is adjusted for the previous time under the condition that the resource scheduling parameter is adjusted for a non-first time; determining a third ratio of a sum of the third difference and a historical third difference to a second constant, wherein the historical third difference is a difference determined based on an initial first Channel Quality Indicator (CQI) parameter and an initial second CQI parameter when the resource scheduling parameter is adjusted for a first time, and the historical third difference is a difference determined when the resource scheduling parameter was adjusted for a previous time when the resource scheduling parameter is adjusted for a non-first time; determining a sum of the first parameter sum, the third difference value, and the third ratio as the third CQI parameter.
In an exemplary embodiment, the processing module 712 may implement the processing of the first channel quality indication CQI parameter and the second CQI parameter based on the target filtering manner to determine the third CQI parameter by: determining a first parameter sum of the first channel quality indication, CQI, parameter and the second CQI parameter; determining a fourth ratio of a third constant to a fourth constant when the target filtering mode is determined to be a linear smooth filtering mode; determining a first product of the fourth ratio and a historical third CQI parameter, wherein the historical third CQI parameter is an initial third CQI parameter when the resource scheduling parameter is adjusted for the first time, and the historical third CQI parameter is a third CQI parameter determined when the resource scheduling parameter is adjusted for the previous time when the resource scheduling parameter is adjusted for the non-first time; determining a second product of a fourth difference value and the first parameter sum, wherein the fourth difference value is a difference value of a fifth constant and the fourth ratio; determining a sum of the first product and the second product as the third CQI parameter.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the above method embodiments.
In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
In an exemplary embodiment, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary embodiments, and details of this embodiment are not repeated herein.
It will be apparent to those skilled in the art that the various modules or steps of the invention described above may be implemented using a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and they may be implemented using program code executable by the computing devices, such that they may be stored in a memory device and executed by the computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into various integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A method for adjusting resource scheduling parameters is characterized by comprising the following steps:
receiving feedback information sent by target equipment;
determining an initialization parameter corresponding to the feedback information and a step factor corresponding to the feedback information;
determining a first Channel Quality Indication (CQI) parameter of a target channel based on the initialization parameter and the step factor, wherein the target channel is a channel for data communication between the target device and a target base station;
receiving a second CQI parameter of the target channel sent by the target equipment;
determining a target interval where the second CQI parameter is located, and determining a target filtering mode based on the target interval;
processing the first Channel Quality Indication (CQI) parameter and the second CQI parameter based on the target filtering mode to determine a third CQI parameter;
adjusting a resource scheduling parameter of the target channel based on the third CQI parameter;
determining a first channel quality indication, CQI, parameter for a target channel based on the initialization parameter and the step factor comprises: determining a target period for adjusting the resource scheduling parameter based on the initialization parameter; determining a first error rate of the received feedback information; determining a periodic bit error rate based on the first bit error rate and the target period; determining the first Channel Quality Indication (CQI) parameter based on the periodic bit error rate;
wherein determining a first error rate of the received feedback information comprises: determining an index position of the feedback information; determining a first index value of ACK information corresponding to the index position and a second index value of NACK information corresponding to the index position based on the initialization parameter and the step factor, wherein the feedback information comprises the ACK information and the NACK information; determining an index sum of the first index value and the second index value; determining a first ratio of the first index value to the index sum under the condition that the feedback information is the ACK information, and determining a difference between the first ratio and the first index value as the first error rate; and determining a second ratio of the second index value to the index sum under the condition that the feedback information is the NACK information, and determining the sum of the second ratio and the second index value as the first error rate.
2. The method of claim 1, wherein determining a periodic bit error rate based on the first bit error rate and the target period comprises:
determining a target error rate of the feedback information;
determining a first difference between the target error rate and the first error rate;
and determining the ratio of the first difference to the target period as the period error rate.
3. The method of claim 2, wherein determining the first Channel Quality Indication (CQI) parameter based on the periodic bit error rate comprises:
determining a second difference value between the target error rate and the periodic error rate;
determining a first product of the second difference and a first constant;
and determining the sum of the first product and a historical CQI parameter as the first channel quality indicator CQI parameter, wherein the historical CQI parameter is a preset initial CQI parameter under the condition that the resource scheduling parameter is adjusted for the first time, and the historical CQI parameter is a CQI parameter determined when the resource scheduling parameter is adjusted for the previous time under the condition that the resource scheduling parameter is adjusted for the non-first time.
4. The method of claim 1, wherein determining a target interval in which the second CQI parameter is located, and wherein determining a target filtering manner based on the target interval comprises:
determining a modulation mode used for data communication with the target device when receiving the second CQI parameter;
dividing the second CQI parameters corresponding to the same modulation mode into one target interval;
determining the target filtering mode to be a dynamic filtering mode under the condition that the modulation mode corresponding to the target interval is QPSK modulation or 64QAM modulation;
and under the condition that the modulation mode corresponding to the target interval is 16QAM modulation, determining that the target filtering mode is linear smooth filtering.
5. The method of claim 4, wherein processing the first Channel Quality Indication (CQI) parameter and the second CQI parameter based on the target filtering manner to determine the third CQI parameter comprises:
determining a first parameter sum of the first channel quality indication, CQI, parameter and the second CQI parameter;
determining a third difference between the first parameter sum and a historical parameter sum under the condition that the target filtering mode is determined to be a dynamic filtering mode, wherein the historical parameter sum is a parameter sum determined based on an initial first Channel Quality Indicator (CQI) parameter and an initial second CQI parameter under the condition that the resource scheduling parameter is adjusted for the first time, and the historical parameter sum is a parameter sum determined when the resource scheduling parameter is adjusted for the previous time under the condition that the resource scheduling parameter is adjusted for a non-first time;
determining a third ratio of a sum of the third difference and a historical third difference to a second constant, wherein the historical third difference is a difference determined based on an initial first Channel Quality Indicator (CQI) parameter and an initial second CQI parameter when the resource scheduling parameter is adjusted for a first time, and the historical third difference is a difference determined when the resource scheduling parameter was adjusted for a previous time when the resource scheduling parameter is adjusted for a non-first time;
determining a sum of the first parameter sum, the third difference value, and the third ratio as the third CQI parameter.
6. The method of claim 4, wherein processing the first Channel Quality Indication (CQI) parameter and the second CQI parameter based on the target filtering manner to determine the third CQI parameter comprises:
determining a first parameter sum of the first channel quality indication, CQI, parameter and the second CQI parameter;
determining a fourth ratio of a third constant to a fourth constant when the target filtering mode is determined to be a linear smooth filtering mode;
determining a first product of the fourth ratio and a historical third CQI parameter, wherein the historical third CQI parameter is an initial third CQI parameter when the resource scheduling parameter is adjusted for the first time, and the historical third CQI parameter is a third CQI parameter determined when the resource scheduling parameter is adjusted for the previous time when the resource scheduling parameter is adjusted for the non-first time;
determining a second product of a fourth difference value and the first parameter sum, wherein the fourth difference value is a difference value of a fifth constant and the fourth ratio;
determining a sum of the first product and the second product as the third CQI parameter.
7. An apparatus for adjusting resource scheduling parameters, comprising:
the first receiving module is used for receiving feedback information sent by target equipment;
a first determining module, configured to determine an initialization parameter corresponding to the feedback information and a step factor corresponding to the feedback information;
a second determining module, configured to determine, based on the initialization parameter and the step factor, a first Channel Quality Indicator (CQI) parameter of a target channel, where the target channel is a channel through which the target device performs data communication with a target base station;
a second receiving module, configured to receive a second CQI parameter of the target channel sent by the target device;
a third determining module, configured to determine a target interval in which the second CQI parameter is located, and determine a target filtering manner based on the target interval;
a processing module, configured to process the first channel quality indication CQI parameter and the second CQI parameter based on the target filtering manner to determine a third CQI parameter;
an adjusting module, configured to adjust a resource scheduling parameter of the target channel based on the third CQI parameter;
the second determination module enables determining a first channel quality indication, CQI, parameter for a target channel based on the initialization parameter and the step factor by: determining a target period for adjusting the resource scheduling parameter based on the initialization parameter; determining a first error rate of the received feedback information; determining a periodic bit error rate based on the first bit error rate and the target period; determining the first Channel Quality Indication (CQI) parameter based on the periodic bit error rate;
the second determining module determines a first bit error rate of the received feedback information by: determining an index position of the feedback information; determining a first index value of ACK information corresponding to the index position and a second index value of NACK information corresponding to the index position based on the initialization parameter and the step factor, wherein the feedback information comprises the ACK information and the NACK information; determining an index sum of the first index value and the second index value; determining a first ratio of the first index value to the index sum under the condition that the feedback information is the ACK information, and determining a difference between the first ratio and the first index value as the first error rate; and determining a second ratio of the second index value to the index sum under the condition that the feedback information is the NACK information, and determining the sum of the second ratio and the second index value as the first error rate.
8. A computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
9. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 6.
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