CN108738154B - Scheduling method and device - Google Patents
Scheduling method and device Download PDFInfo
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Abstract
The embodiment of the invention discloses a scheduling method and a scheduling device. The method comprises the following steps: determining a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter in a statistical preset time range; obtaining a second data transmission parameter, and determining a second spectral efficiency based on the second data transmission parameter; and comparing the second spectrum efficiency with the first spectrum efficiency, and adjusting the target block error rate based on the comparison result.
Description
Technical Field
The present invention relates to communications technologies, and in particular, to a scheduling method and apparatus.
Background
Currently, a Long Term Evolution (LTE) high-speed railway private network adopts a mode that peripheral iron tower signals are radiated into a carriage, for example, as shown in fig. 1. The high-speed rail carriage is closed, and the penetration loss is high. And under different incident angles, the actual penetration loss has a larger difference. In the LTE system, when a Modulation and Coding Scheme (MCS) is higher, although the number of bits carried on a unit resource is increased, a link block error rate (BLER) is increased, and further retransmission is required, which causes waste of radio resources and reduces spectrum efficiency; and when the MCS is lower, although retransmission is not caused, the bit number which can be carried on the unit resource is reduced. Therefore, the selection of MCS is usually a compromise result.
In the prior art, a high-speed railway private network selects an MCS (modulation and coding scheme) by using an initial target BLER and a latest Channel Quality Indicator (CQI) weight value which are default in an existing public network, and the MCS selection is easily conservative in a high-speed operation process under a default setting value, so that the spectrum efficiency is reduced.
Disclosure of Invention
In order to solve the existing technical problem, embodiments of the present invention provide a scheduling method and apparatus.
In order to achieve the above purpose, the technical solution of the embodiment of the present invention is realized as follows:
the embodiment of the invention provides a scheduling method, which comprises the following steps:
determining a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter in a statistical preset time range;
obtaining a second data transmission parameter, and determining a second spectral efficiency based on the second data transmission parameter;
and comparing the second spectrum efficiency with the first spectrum efficiency, and adjusting the target block error rate based on the comparison result.
In the foregoing solution, before obtaining the second data transmission parameter, the method further includes:
detecting a frequency offset parameter of uplink data; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the adaptive mode corresponds to adaptive adjustment of at least one of a target block error rate, a channel quality parameter weight, and an adjustment parameter of a modulation and coding strategy.
In the foregoing scheme, the obtaining a second data transmission parameter and determining a second spectral efficiency based on the second data transmission parameter includes:
and when the frequency spectrum is in the self-adaptive mode, obtaining an adjusted modulation coding strategy and retransmission times based on a target block error rate, an adjustment parameter of the modulation coding strategy and a channel quality parameter which are improved according to a preset rule, and calculating a second frequency spectrum efficiency based on the adjusted modulation coding strategy and retransmission times.
In the foregoing solution, the comparing the second spectral efficiency with the first spectral efficiency and adjusting the target block error rate based on the comparison result includes:
comparing the second spectral efficiency with the first spectral efficiency to obtain a difference parameter of the second spectral efficiency and the first spectral efficiency;
when the difference parameter is smaller than a first preset threshold value, maintaining the target block error rate as the improved target block error rate;
or when the raised target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the raised target block error rate.
In the foregoing solution, before obtaining the second data transmission parameter, the method further includes: detecting a frequency offset parameter of uplink data; and respectively initializing the target block error rate, the channel quality parameter weight and the adjustment parameters of the modulation coding strategy to corresponding preset initial values when the absolute value of the frequency deviation parameter does not meet the preset expected value.
In the above scheme, the adjustment of the target block error rate is associated with a service type.
The embodiment of the invention also provides a scheduling device, which comprises: the device comprises a data processing unit, a data acquisition unit and an adjusting unit; wherein the content of the first and second substances,
the data processing unit is used for determining a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter in a statistical preset time range;
the data acquisition unit is used for acquiring a second data transmission parameter;
the data processing unit is further configured to determine a second spectral efficiency based on the second data transmission parameter obtained by the data obtaining unit;
and the adjusting unit is used for comparing the second spectrum efficiency with the first spectrum efficiency and adjusting the target block error rate based on the comparison result.
In the foregoing solution, the data processing unit is further configured to detect a frequency offset parameter of uplink data before the data obtaining unit obtains the second data transmission parameter; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the adaptive mode corresponds to adaptive adjustment of at least one of a target block error rate, a channel quality parameter weight, and an adjustment parameter of a modulation and coding strategy.
In the foregoing solution, the data obtaining unit is configured to obtain, when the data obtaining unit is in the adaptive mode, an adjusted modulation and coding strategy and retransmission times based on a target block error rate, an adjustment parameter of the modulation and coding strategy, and a channel quality parameter that are raised according to a preset rule;
and the data processing unit is used for calculating a second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times.
In the foregoing solution, the adjusting unit is configured to compare the second spectral efficiency with the first spectral efficiency to obtain a difference parameter between the second spectral efficiency and the first spectral efficiency; when the difference parameter is smaller than a first preset threshold value, maintaining the target block error rate as the improved target block error rate; or when the raised target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the raised target block error rate.
In the foregoing solution, the data processing unit is further configured to detect a frequency offset parameter of uplink data before the data obtaining unit obtains the second data transmission parameter; and respectively initializing the target block error rate, the channel quality parameter weight and the adjustment parameters of the modulation coding strategy to corresponding preset initial values when the absolute value of the frequency deviation parameter does not meet the preset expected value.
The scheduling method and device provided by the embodiment of the invention comprise the following steps: determining a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter in a statistical preset time range; obtaining a second data transmission parameter, and determining a second spectral efficiency based on the second data transmission parameter; and comparing the second spectrum efficiency with the first spectrum efficiency, and adjusting the target block error rate based on the comparison result. By adopting the technical scheme of the embodiment of the invention, the target block error rate is adaptively adjusted according to the frequency spectrum efficiency in the application scene of the high-speed rail private network, so that the frequency spectrum efficiency is improved, and the data transmission rate is improved.
Drawings
FIG. 1 is a schematic diagram of an application scenario according to an embodiment of the present invention;
fig. 2a and fig. 2b are schematic parameter comparison diagrams of a high-speed rail private network and a public network in the prior art respectively;
fig. 3 is a flowchart illustrating a scheduling method according to a first embodiment of the present invention;
fig. 4 is a flowchart illustrating a scheduling method according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a scheduling apparatus according to an embodiment of the present invention.
Detailed Description
Before describing the scheduling method of the embodiment of the present invention in detail, the MCS adjustment method is first described: the LTE supports the link adaptation technology to adjust the MCS, which mainly includes the following steps: for the outer loop, a fixed initial target BLER is usually set as a reference for MCS adjustment, and MCS adjustment is performed based on a fixed MCS initial adjustment amount and an MCS lifting/lowering step size; the MCS initial adjustment amount is configured in advance, and it can be understood that the adjustment of the MCS is performed from the MCS initial adjustment amount as a starting point, and in the adjustment process, the step size is increased/decreased according to the MCS as the amplitude of each adjustment. For the data service, the initial target BLER is usually set to be 10% as a default value for maximizing the system throughput, and for the Voice service based on the IMS (Voice over LTE), the initial target BLER is usually set to be 10% in order to reduce the influence of packet loss on the Voice quality; generally, a conservative initial adjustment amount is adopted (for example, MCS is adjusted down by 3-4 orders), and the step length for improving the MCS is far smaller than the step length for reducing the MCS (for example, a terminal feeds back ACK, the MCS is improved by 1%, the terminal feeds back NACK, and the MCS is reduced by 9%); for the inner loop, the CQI reported by the user is usually filtered and then mapped to the MCS, and the weight of the new CQI generally accounts for about 20%. Wherein the selected MCS is associated with a CQI; specifically, mapping of MCS is performed according to CQI; the CQI includes, on one hand, a CQI (which can be understood as a new CQI) currently reported by a user, and on the other hand, a CQI (which can be understood as an old CQI) once received within a preset time range, the new CQI and the old CQI are averaged, and the averaged CQI is used as a basis for selecting an MCS; for example, if the CQI and the new CQI at the past 1 time are averaged, the weight of the new CQI is 50%; for another example, if the CQI and the new CQI at the past 3 times are averaged, the new CQI weight is 25%.
In high-speed rail high-speed driving, due to rapid channel change and penetration loss change caused by change of incident angle, jitter of Signal to Interference plus Noise Ratio (SINR) on the vehicle is larger than that of a public network, and fig. 2a is a SINR jitter distribution comparison schematic diagram of a high-speed rail private network and a public network; as shown in fig. 2a, when the high-speed rail private network uses a fixed 10% initial BLER value, a conservative MCS initial adjustment amount and MCS lifting/lowering step length, and a lower CQI weight ratio, the selection of the MCS is low, and fig. 2b is a schematic diagram illustrating MCS comparison between the high-speed rail private network and the public network; as shown in fig. 2b, in the conventional scheduling method, the modulation order of the high-speed rail private network is 2-3 orders lower than the MCS selection of the public network based on the same signal quality.
Therefore, the high-speed rail private network adopts the default initial target BLER value, the latest CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size of the existing public network, and MCS selection is easily conservative during high-speed operation, thereby reducing spectrum efficiency.
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Example one
The embodiment of the invention provides a scheduling method. Fig. 3 is a flowchart illustrating a scheduling method according to a first embodiment of the present invention; as shown in fig. 3, the method includes:
step 101: and determining a first spectrum efficiency serving as an adjustment reference parameter based on the first data transmission parameter in the statistical preset time range.
Step 102: a second data transmission parameter is obtained, and a second spectral efficiency is determined based on the second data transmission parameter.
Step 103: and comparing the second spectrum efficiency with the first spectrum efficiency, and adjusting the target block error rate based on the comparison result.
The scheduling method of the embodiment of the invention is applied to the scheduling device, the scheduling device can be arranged in the base station, namely the scheduling method can be realized by the base station. Further, the base station may specifically be a base station for a high-speed rail private network.
In this embodiment, the first data transmission parameter may specifically include a parameter reported by a user, for example, a CQI reported by the user; the first data transmission parameter may also include parameters configured during data transmission or parameters obtained through measurement, such as a selected MCS, a number of retransmissions, and the like. The scheduling device counts the CQI reported by the user and the selected MCS, retransmission times, and the like within a preset time range to obtain a first spectrum efficiency, which is used as an adjustment reference parameter. Specifically, the spectrum efficiency is the sum of TBsize that is correct for transmission/(initial transmitted PRB + retransmission scheduled PRB); wherein, TBsize represents the number of information bits carried when a specific MCS is used for transmission or when a certain PRB is scheduled. It can be understood that, in this embodiment, the first spectrum efficiency can be calculated based on the above expression based on the first data transmission parameter counted in the preset time range, including MCS selected in the data transmission process, retransmission times, PRB per transmission, and the like. Correspondingly, the obtaining manner of the second spectral efficiency may refer to the obtaining manner of the first spectral efficiency, which is not described herein again.
In this embodiment, before obtaining the second data transmission parameter, the method further includes: detecting a frequency offset parameter of uplink data; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the adaptive mode corresponds to adaptive adjustment of at least one of a target block error rate, a channel quality parameter weight, and an adjustment parameter of a modulation and coding strategy.
Specifically, the scheduling device detects a frequency offset parameter of uplink data of the user. Specifically, the frequency offset parameter of the uplink data may be obtained by calculating an uplink signal of the user. The method specifically comprises the following steps: by checking the phase difference of the uplink signal at the same frequency and different OFDM symbols, the variation of F (frequency offset value) can be obtained by the formula Theta ═ 2 × PI × F × t; where Theta denotes the phase; PI represents a circumference ratio parameter; f represents a frequency offset value; t denotes a fixed time interval. The frequency offset of the uplink signal is directly related to the speed of the UE, so the expected value is also equal to a certain moving speed of the UE, and the following adjustment is mainly not needed at low speed and only needed at high speed. Further, judging whether the frequency offset parameter meets a preset expected value; and when the frequency offset parameter meets a preset expected value, namely is more than or equal to the expected value, controlling to enter a self-adaptive mode, wherein the self-adaptive mode corresponds to the self-adaptive adjustment of at least one parameter of the target block error rate, the channel quality parameter weight and the adjustment parameter of the modulation and coding strategy.
Further, the obtaining a second data transmission parameter and determining a second spectral efficiency based on the second data transmission parameter includes: and when the frequency spectrum is in the self-adaptive mode, obtaining an adjusted modulation coding strategy and retransmission times based on a target block error rate, an adjustment parameter of the modulation coding strategy and a channel quality parameter which are improved according to a preset rule, and calculating a second frequency spectrum efficiency based on the adjusted modulation coding strategy and retransmission times.
Specifically, the adjustment parameter of the modulation and coding strategy may specifically include an MCS initial adjustment amount and/or an MCS up/down step size; the MCS is used for numbering different modulation and coding modes so as to facilitate the system to call different communication strategies; as an embodiment, the MCS may represent the modulation and coding strategy through a modulation and coding table; the modulation coding table may include information such as index, space reserved quantity, modulation mode, rate, etc. The channel quality parameter may specifically be represented by a CQI weight; the CQI weight represents the proportional relation between the newly received CQI and the previously obtained CQI in the preset time range; for example, if the CQI and the new CQI at the past 1 time are averaged, the weight of the new CQI is 50%; for another example, if the CQI and the new CQI at the past 3 times are averaged, the new CQI weight is 25%. In this embodiment, when in the adaptive mode, the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size, etc. are gradually lifted, wherein the lifting magnitudes of the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size may be preconfigured. For example, the target block error rate may be adjusted with a magnitude of 5%; the CQI weights may be adjusted with a magnitude of 10%. It can be understood that the scheduling apparatus is configured with initial values corresponding to the target block error rate, CQI weight, MCS initial adjustment amount, and MCS up/down step length in advance, and performs up-scaling based on the initial values. And on the other hand, obtaining the adjusted modulation and coding strategy and the retransmission times, and calculating the second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times. Further, when the difference parameter between the second spectrum efficiency under the same CQI and the first spectrum efficiency is greater than a first preset threshold value, the above operations are repeated, that is, the target block error rate, the CQI weight, the MCS initial adjustment amount, the MCS lifting/lowering step length, and the like are gradually lifted, the second spectrum efficiency is recalculated, and the second spectrum efficiency is compared with the first spectrum efficiency.
In this embodiment, the comparing the second spectral efficiency with the first spectral efficiency and adjusting the target block error rate based on the comparison result includes: comparing the second spectral efficiency with the first spectral efficiency to obtain a difference parameter of the second spectral efficiency and the first spectral efficiency; when the difference parameter is smaller than a first preset threshold value, maintaining the target block error rate as the improved target block error rate; or when the raised target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the raised target block error rate.
Specifically, when the difference parameter between the second spectral efficiency and the first spectral efficiency is smaller than a first preset threshold, or the target block error rate is increased gradually based on the target block error rate to exceed a corresponding second preset threshold, the current target block error rate is maintained, that is, the target block error rate is maintained as the increased target block error rate. Further, when the second spectrum efficiency starts to decrease while maintaining the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size, etc. are gradually decreased.
By adopting the technical scheme of the embodiment of the invention, the target block error rate is adaptively adjusted according to the frequency spectrum efficiency in the application scene of the high-speed rail private network, so that the frequency spectrum efficiency is improved, and the data transmission rate is improved.
Example two
The embodiment of the invention also provides a scheduling method. Fig. 4 is a flowchart illustrating a scheduling method according to a second embodiment of the present invention; as shown in fig. 4, the method includes:
step 201: and determining a first spectrum efficiency serving as an adjustment reference parameter based on the first data transmission parameter in the statistical preset time range.
Step 202: detecting a frequency offset parameter of uplink data; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the adaptive mode corresponds to adaptive adjustment of at least one of a target block error rate, a channel quality parameter weight, and an adjustment parameter of a modulation and coding strategy.
Step 203: and when the frequency spectrum is in the self-adaptive mode, obtaining an adjusted modulation coding strategy and retransmission times based on a target block error rate, an adjustment parameter of the modulation coding strategy and a channel quality parameter which are improved according to a preset rule, and calculating a second frequency spectrum efficiency based on the adjusted modulation coding strategy and retransmission times.
Step 204: comparing the second spectral efficiency with the first spectral efficiency to obtain a difference parameter of the second spectral efficiency and the first spectral efficiency.
Step 205: and when the difference parameter is smaller than a first preset threshold value, or when the promoted target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the promoted target block error rate.
The scheduling method of the embodiment of the invention is applied to the scheduling device, the scheduling device can be arranged in the base station, namely the scheduling method can be realized by the base station. Further, the base station may specifically be a base station for a high-speed rail private network.
In this embodiment, the first data transmission parameter may specifically include a parameter reported by a user, for example, a CQI reported by the user; the first data transmission parameter may also include parameters configured during data transmission or parameters obtained through measurement, such as a selected MCS, a number of retransmissions, and the like. The scheduling device counts CQI reported by a user, a selected MCS, retransmission times and the like in a preset time range to obtain a first spectrum efficiency, and the first spectrum efficiency is used as an adjustment reference parameter; specifically, the spectrum efficiency is the sum of TBsize that is correct for transmission/(initial transmitted PRB + retransmission scheduled PRB); wherein, TBsize represents the number of information bits carried when a specific MCS is used for transmission or when a certain PRB is scheduled. It can be understood that, in this embodiment, the first spectrum efficiency can be calculated based on the above expression based on the first data transmission parameter counted in the preset time range, including MCS selected in the data transmission process, retransmission times, PRB per transmission, and the like.
In this embodiment, the scheduling apparatus detects a frequency offset parameter of uplink data of a user. Specifically, the frequency offset parameter of the uplink data may be obtained by calculating an uplink signal of the user. The method specifically comprises the following steps: by checking the phase difference of the uplink signals on the same frequency and different OFDM symbols, the variation of F (frequency offset value) can be obtained by the formula Theta ═ 2 × PI × F × t; where Theta denotes the phase; PI represents a circumference ratio parameter; f represents a frequency offset value; t denotes a fixed time interval. The frequency offset of the uplink signal is directly related to the speed of the UE, so the expected value is also equal to a certain moving speed of the UE, and the following adjustment is mainly not needed at low speed and only needed at high speed. Further, judging whether the frequency offset parameter meets a preset expected value; and when the frequency offset parameter meets a preset expected value, namely is more than or equal to the expected value, controlling to enter a self-adaptive mode, wherein the self-adaptive mode corresponds to the self-adaptive adjustment of at least one parameter of the target block error rate, the channel quality parameter weight and the adjustment parameter of the modulation and coding strategy.
In this embodiment, the adjustment parameter of the modulation and coding strategy may specifically include an MCS initial adjustment amount and/or an MCS lifting/lowering step length; the MCS is used for numbering different modulation and coding modes so as to facilitate the system to call different communication strategies; as an embodiment, the MCS may represent the modulation and coding strategy through a modulation and coding table; the modulation coding table may include information such as index, space reserved quantity, modulation mode, rate, etc. The channel quality parameter may specifically be represented by a CQI weight; the CQI weight represents the proportional relation between the newly received CQI and the previously obtained CQI in the preset time range; for example, if the CQI and the new CQI at the past 1 time are averaged, the weight of the new CQI is 50%; for another example, if the CQI and the new CQI at the past 3 times are averaged, the new CQI weight is 25%. In this embodiment, when in the adaptive mode, the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size, etc. are gradually lifted, wherein the lifting magnitudes of the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size may be preconfigured. For example, the target block error rate may be adjusted with a magnitude of 5%; the CQI weights may be adjusted with a magnitude of 10%. It can be understood that the scheduling apparatus is configured with initial values corresponding to the target block error rate, CQI weight, MCS initial adjustment amount, and MCS up/down step length in advance, and performs up-scaling based on the initial values. And on the other hand, obtaining the adjusted modulation and coding strategy and the retransmission times, and calculating the second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times. Further, when the difference parameter between the second spectrum efficiency under the same CQI and the first spectrum efficiency is greater than a first preset threshold value, the above operations are repeated, that is, the target block error rate, the CQI weight, the MCS initial adjustment amount, the MCS lifting/lowering step length, and the like are gradually lifted, the second spectrum efficiency is recalculated, and the second spectrum efficiency is compared with the first spectrum efficiency.
On the other hand, when the difference parameter between the second spectral efficiency and the first spectral efficiency is smaller than a first preset threshold, or the target block error rate is increased gradually based on the target block error rate to exceed a corresponding second preset threshold, the current target block error rate is maintained, that is, the target block error rate is maintained as the increased target block error rate. Further, when the second spectrum efficiency starts to decrease while maintaining the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size, etc. are gradually decreased. Wherein, the target block error rate, the CQI weight, the MCS initial adjustment amount and the lifting amplitude of the MCS lifting/reducing step length can be configured in advance. For example, the target block error rate may be adjusted with a magnitude of 5%; the CQI weights may be adjusted with a magnitude of 10%.
The scheduling method of the embodiment of the invention carries out self-adaptive adjustment on the target BLER, carries out up-regulation on the target BLER value according to the spectrum efficiency in a high-speed rail running scene, and restores the target BLER value to a preset initial value in scenes such as high-speed rail arrival or speed reduction, thereby improving the spectrum efficiency in the high-speed rail scene.
EXAMPLE III
The embodiment of the invention also provides a scheduling method. Based on the second embodiment, the scheduling method of the embodiment of the present invention may further include:
step 206: and respectively initializing the target block error rate, the channel quality parameter weight and the adjustment parameters of the modulation coding strategy to corresponding preset initial values when the absolute value of the frequency deviation parameter does not meet the preset expected value.
In this embodiment, when the absolute value of the frequency offset parameter does not satisfy the preset expected value, the target block error rate, the channel quality parameter weight (i.e., CQI weight), and the adjustment parameter of the modulation and coding strategy (e.g., MCS initial adjustment amount, MCS lifting/lowering step size) are initialized to corresponding preset initial values, where the preset initial values may be understood as a preset public network default target BLER value, CQI weight, MCS initial adjustment amount, and MCS lifting/lowering step size.
In the scheduling method according to the first to third embodiments of the present invention, the adjustment of the target block error rate is associated with a service type. It can be understood that different services need to be considered for the target block error rate, the channel quality parameter weight (i.e. CQI weight), and the adjustment parameter of the modulation and coding strategy (e.g. MCS initial adjustment amount, MCS lifting/lowering step size), for example, when the user service is VoLTE service, in order to lower BLER, the target BLER is maintained as a preset initial value, and a more conservative MCS is selected.
The scheduling method of the embodiment of the invention carries out self-adaptive adjustment on the target BLER, carries out up-regulation on the target BLER value according to the spectrum efficiency in a high-speed rail running scene, and restores the target BLER value to a preset initial value in scenes such as high-speed rail arrival or speed reduction, thereby improving the spectrum efficiency in the high-speed rail scene.
Example four
The embodiment of the invention also provides a scheduling device. FIG. 5 is a schematic diagram of a configuration of a scheduling apparatus according to an embodiment of the present invention; as shown in fig. 5, the apparatus includes: a data processing unit 32, a data acquisition unit 31, and an adjustment unit 33; wherein the content of the first and second substances,
the data processing unit 32 is configured to determine a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter within a statistical preset time range;
the data obtaining unit 31 is configured to obtain a second data transmission parameter;
the data processing unit 32 is further configured to determine a second spectral efficiency based on the second data transmission parameter obtained by the data obtaining unit 31;
the adjusting unit 33 is configured to compare the second spectral efficiency with the first spectral efficiency, and adjust a target block error rate based on a comparison result.
In this embodiment, the first data transmission parameter may specifically include a parameter reported by a user, for example, a CQI reported by the user; the first data transmission parameter may also include parameters configured during data transmission or parameters obtained through measurement, such as a selected MCS, a number of retransmissions, and the like. The data processing unit 32 calculates the CQI reported by the user and the selected MCS, retransmission times, and the like within a preset time range to obtain a first spectrum efficiency, where the first spectrum efficiency is used as an adjustment reference parameter. Specifically, the spectrum efficiency is the sum of TBsize that is correct for transmission/(initial transmitted PRB + retransmission scheduled PRB); wherein, TBsize represents the number of information bits carried when a specific MCS is used for transmission or when a certain PRB is scheduled. It is understood that, in the present embodiment, the data processing unit 32 may calculate and obtain the first spectrum efficiency based on the above expression based on the first data transmission parameter counted in the preset time range, including the MCS selected in the data transmission process, the number of retransmissions, the PRB per transmission, and the like. Correspondingly, the obtaining manner of the second spectral efficiency may refer to the obtaining manner of the first spectral efficiency, which is not described herein again.
In this embodiment, the data processing unit 32 is further configured to detect a frequency offset parameter of uplink data before the data obtaining unit 31 obtains the second data transmission parameter; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the adaptive mode corresponds to adaptive adjustment of at least one of a target block error rate, a channel quality parameter weight, and an adjustment parameter of a modulation and coding strategy.
Specifically, the data processing unit 32 detects a frequency offset parameter of uplink data of the user. Specifically, the frequency offset parameter of the uplink data may be obtained by calculating an uplink signal of the user. The method specifically comprises the following steps: by checking the phase difference of the uplink signal at the same frequency and different OFDM symbols, the variation of F (frequency offset value) can be obtained by the formula Theta ═ 2 × PI × F × t; where Theta denotes the phase; PI represents a circumference ratio parameter; f represents a frequency offset value; t denotes a fixed time interval. The frequency offset of the uplink signal is directly related to the speed of the UE, so the expected value is also equal to a certain moving speed of the UE, and the following adjustment is mainly not needed at low speed and only needed at high speed. Further, the data processing unit 32 determines whether the frequency offset parameter meets a preset expected value; and when the frequency offset parameter meets a preset expected value, namely is more than or equal to the expected value, controlling to enter a self-adaptive mode, wherein the self-adaptive mode corresponds to the self-adaptive adjustment of at least one parameter of the target block error rate, the channel quality parameter weight and the adjustment parameter of the modulation and coding strategy.
Further, the data obtaining unit 31 is configured to, when the data is in the adaptive mode, obtain an adjusted modulation and coding strategy and retransmission times based on a target block error rate that is raised according to a preset rule, an adjustment parameter of the modulation and coding strategy, and a channel quality parameter;
the data processing unit 32 is configured to calculate a second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times.
Specifically, the adjustment parameter of the modulation and coding strategy may specifically include an MCS initial adjustment amount and/or an MCS up/down step size; the MCS is used for numbering different modulation and coding modes so as to facilitate the system to call different communication strategies; as an embodiment, the MCS may represent the modulation and coding strategy through a modulation and coding table; the modulation coding table may include information such as index, space reserved quantity, modulation mode, rate, etc. The channel quality parameter may specifically be represented by a CQI weight; the CQI weight represents the proportional relation between the newly received CQI and the previously obtained CQI in the preset time range; for example, if the CQI and the new CQI at the past 1 time are averaged, the weight of the new CQI is 50%; for another example, if the CQI and the new CQI at the past 3 times are averaged, the new CQI weight is 25%. In this embodiment, when in the adaptive mode, the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size, etc. are gradually lifted, wherein the lifting magnitudes of the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size may be preconfigured. For example, the target block error rate may be adjusted with a magnitude of 5%; the CQI weights may be adjusted with a magnitude of 10%. It can be understood that the scheduling apparatus is configured with initial values corresponding to the target block error rate, CQI weight, MCS initial adjustment amount, and MCS up/down step length in advance, and performs up-scaling based on the initial values. And on the other hand, obtaining the adjusted modulation and coding strategy and the retransmission times, and calculating the second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times. Further, when the difference parameter between the second spectrum efficiency under the same CQI and the first spectrum efficiency is greater than a first preset threshold value, the above operations are repeated, that is, the target block error rate, the CQI weight, the MCS initial adjustment amount, the MCS lifting/lowering step length, and the like are gradually lifted, the second spectrum efficiency is recalculated, and the second spectrum efficiency is compared with the first spectrum efficiency.
In this embodiment, the adjusting unit 33 is configured to compare the second spectral efficiency with the first spectral efficiency to obtain a difference parameter between the second spectral efficiency and the first spectral efficiency; when the difference parameter is smaller than a first preset threshold value, maintaining the target block error rate as the improved target block error rate; or when the raised target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the raised target block error rate.
Specifically, when the difference parameter between the second spectrum efficiency and the first spectrum efficiency is smaller than a first preset threshold, or the target block error rate is increased gradually based on the target block error rate and exceeds a corresponding second preset threshold, the adjusting unit 33 maintains the current target block error rate, that is, maintains the target block error rate as the increased target block error rate. Further, when the second spectrum efficiency starts to decrease while the adjusting unit 33 maintains the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS up/down step size are gradually decreased, and so on.
It should be understood by those skilled in the art that, the functions of each processing unit in the scheduling apparatus according to the embodiment of the present invention may be understood by referring to the description of the foregoing scheduling method, and each processing unit in the scheduling apparatus according to the embodiment of the present invention may be implemented by an analog circuit that implements the functions described in the embodiment of the present invention, or may be implemented by running software that executes the functions described in the embodiment of the present invention on an intelligent terminal.
EXAMPLE five
The embodiment of the invention also provides a scheduling device. As shown in fig. 5, the apparatus includes: a data processing unit 32, a data acquisition unit 31, and an adjustment unit 33; wherein the content of the first and second substances,
the data processing unit 32 is configured to determine a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter within a statistical preset time range; the frequency offset parameter is also used for detecting the frequency offset parameter of the uplink data; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the self-adaptive mode corresponds to the self-adaptive adjustment of at least one parameter of a target block error rate, a channel quality parameter weight and an adjustment parameter of a modulation and coding strategy;
the data obtaining unit 31 is configured to, when the data obtaining unit is in the adaptive mode, obtain an adjusted modulation coding strategy and retransmission times based on a target block error rate, an adjustment parameter of the modulation coding strategy, and a channel quality parameter that are raised according to a preset rule;
the data processing unit 32 is further configured to calculate a second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times;
the adjusting unit 33 is configured to compare the second spectral efficiency with the first spectral efficiency to obtain a difference parameter between the second spectral efficiency and the first spectral efficiency; when the difference parameter is smaller than a first preset threshold value, maintaining the target block error rate as the improved target block error rate; or when the raised target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the raised target block error rate.
In this embodiment, the first data transmission parameter may specifically include a parameter reported by a user, for example, a CQI reported by the user; the first data transmission parameter may also include parameters configured during data transmission or parameters obtained through measurement, such as a selected MCS, a number of retransmissions, and the like. The data processing unit 32 calculates the CQI reported by the user, the selected MCS, the retransmission times, and the like within a preset time range to obtain a first spectrum efficiency, where the first spectrum efficiency is used as an adjustment reference parameter; specifically, the spectrum efficiency is the sum of TBsize that is correct for transmission/(initial transmitted PRB + retransmission scheduled PRB); wherein, TBsize represents the number of information bits carried when a specific MCS is used for transmission or when a certain PRB is scheduled. It is understood that, in the present embodiment, the data processing unit 32 may calculate and obtain the first spectrum efficiency based on the above expression based on the first data transmission parameter counted in the preset time range, including the MCS selected in the data transmission process, the number of retransmissions, the PRB per transmission, and the like.
In this embodiment, the data processing unit 32 detects a frequency offset parameter of uplink data of a user. Specifically, the frequency offset parameter of the uplink data may be obtained by calculating an uplink signal of the user. The method specifically comprises the following steps: by checking the phase difference of the uplink signals on the same frequency and different OFDM symbols, the variation of F (frequency offset value) can be obtained by the formula Theta ═ 2 × PI × F × t; where Theta denotes the phase; PI represents a circumference ratio parameter; f represents a frequency offset value; t denotes a fixed time interval. The frequency offset of the uplink signal is directly related to the speed of the UE, so the expected value is also equal to a certain moving speed of the UE, and the following adjustment is mainly not needed at low speed and only needed at high speed. Further, the data processing unit 32 determines whether the frequency offset parameter meets a preset expected value; and when the frequency offset parameter meets a preset expected value, namely is more than or equal to the expected value, controlling to enter a self-adaptive mode, wherein the self-adaptive mode corresponds to the self-adaptive adjustment of at least one parameter of the target block error rate, the channel quality parameter weight and the adjustment parameter of the modulation and coding strategy.
In this embodiment, the adjustment parameter of the modulation and coding strategy may specifically include an MCS initial adjustment amount and/or an MCS lifting/lowering step length; the MCS is used for numbering different modulation and coding modes so as to facilitate the system to call different communication strategies; as an embodiment, the MCS may represent the modulation and coding strategy through a modulation and coding table; the modulation coding table may include information such as index, space reserved quantity, modulation mode, rate, etc. The channel quality parameter may specifically be represented by a CQI weight; the CQI weight represents the proportional relation between the newly received CQI and the previously obtained CQI in the preset time range; for example, if the CQI and the new CQI at the past 1 time are averaged, the weight of the new CQI is 50%; for another example, if the CQI and the new CQI at the past 3 times are averaged, the new CQI weight is 25%. In this embodiment, when in the adaptive mode, the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size, etc. are gradually lifted, wherein the lifting magnitudes of the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS lifting/lowering step size may be preconfigured. For example, the target block error rate may be adjusted with a magnitude of 5%; the CQI weights may be adjusted with a magnitude of 10%. It can be understood that the scheduling apparatus is configured with initial values corresponding to the target block error rate, CQI weight, MCS initial adjustment amount, and MCS up/down step length in advance, and performs up-scaling based on the initial values. And on the other hand, obtaining the adjusted modulation and coding strategy and the retransmission times, and calculating the second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times. Further, when the difference parameter between the second spectrum efficiency under the same CQI and the first spectrum efficiency is greater than a first preset threshold value, the above operations are repeated, that is, the target block error rate, the CQI weight, the MCS initial adjustment amount, the MCS lifting/lowering step length, and the like are gradually lifted, the second spectrum efficiency is recalculated, and the second spectrum efficiency is compared with the first spectrum efficiency.
On the other hand, when the difference parameter between the second spectral efficiency and the first spectral efficiency is smaller than a first preset threshold, or the target block error rate is increased gradually based on the target block error rate and exceeds a corresponding second preset threshold, the adjusting unit 33 maintains the current target block error rate, that is, maintains the target block error rate as the increased target block error rate. Further, when the second spectrum efficiency starts to decrease while the adjusting unit 33 maintains the target block error rate, the CQI weight, the MCS initial adjustment amount, and the MCS up/down step size are gradually decreased, and so on. Wherein, the target block error rate, the CQI weight, the MCS initial adjustment amount and the lifting amplitude of the MCS lifting/reducing step length can be configured in advance. For example, the target block error rate may be adjusted with a magnitude of 5%; the CQI weights may be adjusted with a magnitude of 10%.
It should be understood by those skilled in the art that, the functions of each processing unit in the scheduling apparatus according to the embodiment of the present invention may be understood by referring to the description of the foregoing scheduling method, and each processing unit in the scheduling apparatus according to the embodiment of the present invention may be implemented by an analog circuit that implements the functions described in the embodiment of the present invention, or may be implemented by running software that executes the functions described in the embodiment of the present invention on an intelligent terminal.
EXAMPLE six
The embodiment of the invention also provides a scheduling device. As shown in fig. 5, the apparatus includes: a data processing unit 32, a data acquisition unit 31, and an adjustment unit 33; wherein the content of the first and second substances,
the data processing unit 32 is configured to determine a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter within a statistical preset time range; the frequency offset parameter is also used for detecting the frequency offset parameter of the uplink data; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the self-adaptive mode corresponds to the self-adaptive adjustment of at least one parameter of a target block error rate, a channel quality parameter weight and an adjustment parameter of a modulation and coding strategy; the method is also used for respectively initializing the target block error rate, the channel quality parameter weight and the adjustment parameter of the modulation coding strategy to corresponding preset initial values when the absolute value of the frequency deviation parameter does not meet the preset expected value;
the data obtaining unit 31 is configured to, when the data obtaining unit is in the adaptive mode, obtain an adjusted modulation coding strategy and retransmission times based on a target block error rate, an adjustment parameter of the modulation coding strategy, and a channel quality parameter that are raised according to a preset rule;
the data processing unit 32 is further configured to calculate a second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times;
the adjusting unit 33 is configured to compare the second spectral efficiency with the first spectral efficiency to obtain a difference parameter between the second spectral efficiency and the first spectral efficiency; when the difference parameter is smaller than a first preset threshold value, maintaining the target block error rate as the improved target block error rate; or when the raised target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the raised target block error rate.
Different from the fifth embodiment, in this embodiment, when the absolute value of the frequency offset parameter does not satisfy the preset expected value, the target block error rate, the channel quality parameter weight (i.e., CQI weight), and the adjustment parameter of the modulation and coding strategy (e.g., MCS initial adjustment amount, MCS lifting/lowering step size) are initialized to the corresponding preset initial value, where the preset initial value may be understood as a preset public network default target BLER value, CQI weight, MCS initial adjustment amount, and MCS lifting/lowering step size.
It should be understood by those skilled in the art that, the functions of each processing unit in the scheduling apparatus according to the embodiment of the present invention may be understood by referring to the description of the foregoing scheduling method, and each processing unit in the scheduling apparatus according to the embodiment of the present invention may be implemented by an analog circuit that implements the functions described in the embodiment of the present invention, or may be implemented by running software that executes the functions described in the embodiment of the present invention on an intelligent terminal.
In the embodiment of the present invention, the scheduling apparatus may be implemented by a base station in practical application. The data Processing Unit 32, the data obtaining Unit 31 and the adjusting Unit 33 in the scheduling apparatus may be implemented by a Central Processing Unit (CPU), a Digital Signal Processor (DSP), or a Programmable Gate Array (FPGA) in the base station in practical applications.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (7)
1. A method of scheduling, the method comprising:
determining a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter in a statistical preset time range;
obtaining a second data transmission parameter, and determining a second spectral efficiency based on the second data transmission parameter;
comparing the second spectrum efficiency with the first spectrum efficiency, and adjusting a target block error rate based on a comparison result;
the obtaining a second data transmission parameter, and determining a second spectral efficiency based on the second data transmission parameter, includes:
when the wireless communication device is in the self-adaptive mode, obtaining an adjusted modulation coding strategy and retransmission times based on a target block error rate, an adjustment parameter of the modulation coding strategy and a channel quality parameter which are improved according to a preset rule, and calculating a second spectrum efficiency based on the adjusted modulation coding strategy and the retransmission times;
the comparing the second spectral efficiency with the first spectral efficiency and adjusting the target block error rate based on the comparison result includes:
comparing the second spectral efficiency with the first spectral efficiency to obtain a difference parameter of the second spectral efficiency and the first spectral efficiency;
when the difference parameter is smaller than a first preset threshold value, maintaining the target block error rate as the improved target block error rate;
or when the raised target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the raised target block error rate.
2. The method of claim 1, wherein prior to obtaining the second data transmission parameter, the method further comprises:
detecting a frequency offset parameter of uplink data; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the adaptive mode corresponds to adaptive adjustment of at least one of a target block error rate, a channel quality parameter weight, and an adjustment parameter of a modulation and coding strategy.
3. The method of claim 2, wherein prior to obtaining the second data transmission parameter, the method further comprises: detecting a frequency offset parameter of uplink data; and respectively initializing the target block error rate, the channel quality parameter weight and the adjustment parameters of the modulation coding strategy to corresponding preset initial values when the absolute value of the frequency deviation parameter does not meet the preset expected value.
4. A method according to any of claims 1 to 3, wherein the adjustment of the target block error rate is associated with a traffic type.
5. A scheduling apparatus, the apparatus comprising: the device comprises a data processing unit, a data acquisition unit and an adjusting unit; wherein the content of the first and second substances,
the data processing unit is used for determining a first spectrum efficiency serving as an adjustment reference parameter based on a first data transmission parameter in a statistical preset time range;
the data acquisition unit is used for acquiring a second data transmission parameter;
the data processing unit is further configured to determine a second spectral efficiency based on the second data transmission parameter obtained by the data obtaining unit;
the adjusting unit is used for comparing the second spectrum efficiency with the first spectrum efficiency and adjusting a target block error rate based on a comparison result;
the data acquisition unit is used for acquiring an adjusted modulation coding strategy and retransmission times based on a target block error rate, an adjustment parameter of the modulation coding strategy and a channel quality parameter which are improved according to a preset rule when the data acquisition unit is in a self-adaptive mode;
the data processing unit is configured to calculate a second spectrum efficiency based on the adjusted modulation and coding strategy and the retransmission times;
the adjusting unit is configured to compare the second spectral efficiency with the first spectral efficiency to obtain a difference parameter between the second spectral efficiency and the first spectral efficiency; when the difference parameter is smaller than a first preset threshold value, maintaining the target block error rate as the improved target block error rate; or when the raised target block error rate exceeds a second preset threshold value of the target block error rate, maintaining the target block error rate as the raised target block error rate.
6. The apparatus according to claim 5, wherein the data processing unit is further configured to detect a frequency offset parameter of uplink data before the data obtaining unit obtains the second data transmission parameter; when the absolute value of the frequency deviation parameter meets a preset expected value, controlling to enter a self-adaptive mode; the adaptive mode corresponds to adaptive adjustment of at least one of a target block error rate, a channel quality parameter weight, and an adjustment parameter of a modulation and coding strategy.
7. The apparatus according to claim 6, wherein the data processing unit is further configured to detect a frequency offset parameter of uplink data before the data obtaining unit obtains the second data transmission parameter; and respectively initializing the target block error rate, the channel quality parameter weight and the adjustment parameters of the modulation coding strategy to corresponding preset initial values when the absolute value of the frequency deviation parameter does not meet the preset expected value.
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