CN106572540B

CN106572540B - Data scheduling method and access network equipment

Info

Publication number: CN106572540B
Application number: CN201610936760.2A
Authority: CN
Inventors: 邱春毓; 高礼; 王芸
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2016-11-01
Filing date: 2016-11-01
Publication date: 2020-04-03
Anticipated expiration: 2036-11-01
Also published as: CN106572540A

Abstract

The application provides a data scheduling method and access network equipment, which are used for correcting scheduling information of a current grid according to historical grid information and predicting a grid path and a channel state, so that a reasonable air interface resource allocation strategy is selected to send data to a user, the user can obtain enough data, and the network experience of the user is improved. The method provided by the embodiment of the invention comprises the following steps: constructing wireless grids, and acquiring raster path information of the wireless grids and historical grid information of each wireless grid; determining a current grid where a target user is located, and acquiring scheduling information of the current grid; correcting the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule; predicting a raster path and a target data volume; predicting the channel state of each wireless grid in the grid path according to the grid path and historical grid information; and determining an air interface resource allocation strategy according to the target data volume and the channel state of each wireless grid in the grid path.

Description

Data scheduling method and access network equipment

Technical Field

The present application relates to the field of communications, and in particular, to a data scheduling method and an access network device.

Background

In high-speed scenes such as high-speed rails, internet access services and video services for users become necessary, for example, currently, a video data downloading mechanism for downloading video data while playing is adopted in mainstream video services, that is, when a part of video data is gradually consumed, subsequent video data is downloaded to ensure the smoothness of video. However, in the wireless communication network in a high-speed rail scene, because the high-speed rail has the characteristic of high speed, the moving speed of the user is also high, compared with other scenes, the quality of a wireless channel of the user changes faster, the frequency of switching between cells of the user also becomes high, if the video data of the user is consumed up quickly, but the quality of the current wireless channel is poor, the subsequent video data is downloaded slowly, even the subsequent video data cannot be downloaded, and thus the video playing is not smooth.

At present, the methods for solving the above problems mainly include: 1. the user reports the current wireless channel quality to the access network equipment through measurement, and the access network equipment selects an optimal Modulation and Coding Scheme (MCS) according to a Modulation and Coding Scheme (MCS) of the current wireless channel quality Adaptive Modulation and Coding (AMC) so as to increase the data transmission rate of the access network equipment to the user; 2. the access network equipment averagely allocates air interface resources to the users, if a plurality of users simultaneously have downlink data to be sent in the access network equipment, the users need to compete for the air interface resources, and the allocation of the air interface resources is determined by a strategy of the base station. In the current access network equipment, an equalization strategy is adopted when allocating resources, that is, air interface resources are allocated evenly among users with downlink data in a certain statistical period.

However, in the prior art 1, since the channel quality is rapidly changed in a high-speed moving scene, the channel quality measurement reported by a user during scheduling cannot represent the channel quality at the scheduling time, and the MCS order selection does not match the current channel quality, the data transmission rate is severely reduced. If the selected MCS order is low and the data transmission rate is low when the channel condition is good, air interface resources are wasted to a certain extent. If the selected MCS order is higher when the channel condition is poor, the error rate of data transmission will increase, resulting in low data transmission rate; however, in a high-speed motion scene, when a video user is in a position with a better channel, due to the limitation of the maximum air interface resource share that the video user can allocate, the video user cannot use as much cache data as possible under good channel conditions to cope with a subsequent channel to be degraded, and still may cause a playback pause phenomenon due to insufficient cache video data when the channel is degraded, which affects the network experience of the user.

Disclosure of Invention

The application provides a data scheduling method and access network equipment, which are used for correcting scheduling information of a current raster according to historical raster information and predicting a raster path and channel states of subsequent wireless rasters in the raster path, so that a reasonable air interface resource allocation strategy is selected to send data to a user, the user can obtain enough data, and the network experience of the user is improved.

A first aspect of the present invention provides a data scheduling method, including:

constructing a wireless grid, and acquiring raster path information of the wireless grid and historical grid information of each wireless grid;

determining a current grid where a target user is located, and acquiring scheduling information of the current grid, wherein the target user is a user to receive data;

correcting the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule;

predicting a raster path and a target data volume according to the raster path information and the current raster, wherein the target data volume is the data volume to be received by the target user;

predicting a channel state of each wireless grid in the raster path according to the raster path and the historical raster information;

and determining an air interface resource allocation strategy according to the target data volume and the channel state of each wireless grid in the grid path, wherein the air interface resource allocation strategy is used for allocating air interface resources to the target user.

The movement of a user in scenes such as a high-speed rail has fixed lines, and because the position of access network equipment such as a base station near a railway line is fixed, the change of a channel has the characteristic of strong regularity for the user, the originally unknown channel condition on the whole railway line can be recorded by the historical raster information and raster path information of historical users of each wireless raster through the wireless raster, the historical raster information comprises scheduling information and the like of the wireless raster, and the raster path information records wireless rasters which are needed to pass by all historical users when the historical users pass through the cell of the access network equipment. When a target user receives data, determining a current grid where the target user is located, correcting scheduling information of the current grid according to historical grid information and preset optimization rules of the current grid, predicting a raster path and a target data volume according to raster path information and the current grid, wherein the target data volume is the data volume to be received by the target user, predicting a channel state of each wireless grid in the raster path according to the raster path and the historical raster path information, and selecting an air interface resource allocation strategy for wireless grids behind the current grid according to the target data volume and the channel state of each wireless grid in the raster path for air interface resource allocation of the target user. Compared with the prior art, the scheduling information of the current raster is corrected according to the historical raster information, and the channel states of the raster path and the subsequent wireless raster in the raster path are predicted, so that a reasonable air interface resource allocation strategy is selected to send data to a user, the user can obtain enough data, and the network experience of the user is improved.

With reference to the first aspect of the present invention, in a first implementation manner of the first aspect of the present invention, the constructing wireless grids and acquiring the raster path information of the wireless grids and the historical grid information of each wireless grid includes:

receiving RSRP fed back by historical users, and dividing wireless grids according to the RSRP;

recording historical grid information of each wireless grid, wherein the historical grid information is scheduling parameters, scheduling results, uplink power control parameters, uplink power control results and historical channel quality of all historical users;

and obtaining raster path information according to the historical raster path experienced by the historical user.

The method comprises the steps of measuring multi-site signal strength, such as Reference Signal Received Power (RSRP), by historical users, locating each wireless grid granularity in a wireless grid where the historical users are located, dividing the wireless grid according to the wireless grid granularity, recording historical grid information of each wireless grid, wherein the historical grid information is scheduling parameters, scheduling results, uplink Power control parameters, uplink Power control results, historical channel quality and the like of all the historical users, and recording grids which are successively passed by each historical user in the coverage range of access network equipment, namely historical grid paths, so as to obtain grid path information.

With reference to the first aspect of the present invention, in a second implementation of the first aspect of the present invention, the modifying the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule includes:

extracting scheduling parameters, scheduling results, uplink power control parameters, uplink power control results and historical channel quality of historical users from historical grid information of the current grid;

calculating to obtain IBLER according to the scheduling parameters and the scheduling result of the historical user;

determining an MCS correction value according to the IBLER and a preset target IBLER;

selecting an MCS according to the historical channel quality;

correcting the order of the MCS according to the MCS correction value;

calculating to obtain a historical uplink power initial value according to the uplink power control parameters and the uplink power control results of the historical users;

and correcting the initial value of the historical uplink power according to a preset power optimization rule.

After the current grid of the target user is determined, extracting scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, historical channel quality and the like of all historical users of the current grid from historical grid information of the current grid, calculating to obtain Initial Block error Rate (IBLER) according to the scheduling parameters and the scheduling results of the historical users, determining MCS correction value according to the IBLER and a preset target IBLER, selecting MCS according to the historical channel quality, correcting the order of the MCS according to the MCS correction value, calculating to obtain a historical uplink power Initial value according to the uplink power control parameters and the uplink power control results of the historical users, and correcting the historical uplink power Initial value according to a preset power optimization rule. The preset target IBLER is a preset target IBLER, the MCS correction value is determined by comparing the absolute value of the difference value between the IBLER and the target IBLER, and the historical uplink power initial value is corrected by the preset power optimization rule, so that the scheduling information such as the MCS order and the uplink power initial value can be optimized according to the historical grid information.

With reference to the first aspect and the first implementation manner of the first aspect of the present invention, in a third implementation manner of the first aspect of the present invention, the obtaining raster path information according to a historical raster path experienced by the historical user includes:

counting historical raster paths experienced by the historical users;

setting a sample value for each wireless grid in the historical grid path according to the occurrence frequency of the wireless grid in the historical grid path to obtain wireless grid sample information;

obtaining wireless grid time information according to the stay time of the historical user in each wireless grid in the historical grid path;

and obtaining raster path information according to the wireless raster sample information and the wireless raster time information.

The method comprises the steps of counting historical raster paths experienced by all historical users, setting a sample value for each wireless raster in the historical raster paths according to the occurrence frequency of the wireless raster in the historical raster paths to obtain wireless raster sample information, recording the wireless raster sample information and the wireless raster time information to obtain raster path information, wherein the wireless raster time information represents the time of the historical users staying in the wireless raster.

With reference to the third embodiment of the first aspect of the present invention, in the fourth embodiment of the first aspect of the present invention, the obtaining a raster path and a target data volume according to the raster path information and the current raster includes:

judging whether the current raster is a wireless raster in the historical raster path;

if not, no air interface resource allocation is carried out on the target user.

If yes, obtaining a sample value of the current grid, and determining the next wireless grid of the current grid according to the wireless grid sample information;

judging whether the next wireless grid is an end grid or not;

if the wireless grid is not the end grid, determining a subsequent wireless grid of the next wireless grid according to the wireless grid sample information and the sample value of the next wireless grid;

if the grid is the end grid, determining a grid path;

determining the total time of the target user passing through the raster path according to the wireless raster time information and the raster path;

and calculating to obtain the target data volume according to the known data storage volume, the preset data consumption and the total time of the target user.

After determining the current grid where the target user is located, judging whether the current grid is a wireless grid recorded in a historical grid path, if not, the grid path of the target user cannot be predicted, and air interface resource allocation cannot be performed on the target user, if so, determining a sample value of the current grid according to wireless grid sample information in grid path information, and determining a next wireless grid after the current grid until determining an end grid leaving the cell, wherein the wireless grid experienced between the current grid and the end grid is the grid path, and the time of the historical user staying in each grid is known, because the data storage amount and the data stream consumption amount of the target user can be preset or reported to the access network equipment at any time, according to the data storage amount, the preset data consumption amount and the total time of the grid path, the target data volume may be calculated.

With reference to the first aspect, the first embodiment of the first aspect, the second embodiment of the first aspect, the third embodiment of the first aspect, or the fourth embodiment of the first aspect, in a fifth embodiment of the first aspect of the present invention, the determining an air interface resource allocation policy according to the target data volume and a channel state of each trellis in the trellis path includes:

judging whether the target data volume reaches a preset scheduling value or not;

if the preset scheduling value is not reached, reducing the priority of the air interface resource allocation of the target user;

if the preset value is reached, judging whether the channel state of the wireless grid where the target user is located reaches a preset scheduling condition or not according to the channel state;

if the preset condition is not met, reducing the priority of the air interface resource allocation of the target user;

and if the preset condition is reached, the priority of the air interface resource allocation of the target user is improved.

After the target data volume is determined, whether the target data volume reaches a preset modulation value is judged, the preset modulation value is a preset threshold value of priority modulation needing air interface resource allocation, if the target data volume does not reach the preset modulation value, the target user data demand is low, in order to improve the utilization rate of air interface resources, the priority of the air interface resource allocation of the target user can be reduced, if the target data volume reaches the preset modulation value, whether the channel state of a wireless grid where the target user is located reaches a preset scheduling condition is also judged, the preset scheduling condition indicates that the channel state is a good boundary or a bad boundary, when the preset scheduling condition is reached, the priority of the air interface resource allocation of the target user is improved, and when the channel state is good, data are sent to the target user as far as possible.

A second aspect of the present invention provides an access network device, including:

the wireless network system comprises a construction module, a processing module and a processing module, wherein the construction module is used for constructing wireless grids and acquiring raster path information of the wireless grids and historical grid information of each wireless grid;

the system comprises a determining module, a scheduling module and a sending module, wherein the determining module is used for determining a current grid where a target user is located and acquiring scheduling information of the current grid, and the target user is a user to receive data;

the correction module is used for correcting the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule;

the prediction module is used for predicting the raster path and the target data volume according to the raster path information and the current raster, wherein the target data volume is the data volume to be received by the target user;

the prediction module is further configured to predict a channel state of each wireless grid in the raster path according to the raster path and the historical raster information;

and an air interface resource allocation module, configured to determine an air interface resource allocation policy according to the target data amount and a channel state of each wireless raster in the raster path, where the air interface resource allocation policy is used to perform air interface resource allocation on the target user.

The movement of a user in scenes such as a high-speed rail has fixed lines, and because the positions of access network equipment such as a base station and the like near a railway line are fixed, the change of a channel has the characteristic of strong regularity for the user, a building module can record historical raster information and raster path information of historical users of each wireless raster through the wireless raster according to the originally unknown channel condition on the whole railway line, the historical raster information comprises scheduling information and the like of the wireless raster, and the raster path information records wireless rasters which all historical users need to pass through when passing through a cell of the access network equipment. When a target user receives data, a determining module determines a current grid where the target user is located, a correcting module corrects scheduling information of the current grid according to historical grid information and preset optimization rules of the current grid, a predicting module predicts a grid path and a target data volume according to grid path information and the current grid, the target data volume is the data volume to be received by the target user, the channel state of each wireless grid in the grid path is predicted according to the grid path and the historical grid information, and an air interface resource allocation module selects an air interface resource allocation strategy for wireless grids behind the current grid according to the target data volume and the channel state of each wireless grid in the grid path and is used for allocating air interface resources to the target user. Compared with the prior art, the scheduling information of the current raster is corrected according to the historical raster information, and the channel states of the raster path and the subsequent wireless raster in the raster path are predicted, so that a reasonable air interface resource allocation strategy is selected to send data to a user, the user can obtain enough data, and the network experience of the user is improved.

In combination with the second aspect of the present invention, in the first embodiment of the second aspect of the present invention,

the building module is specifically configured to receive RSRP fed back by a historical user, and divide a wireless grid according to the RSRP;

the building module is further configured to record historical grid information of each wireless grid, where the historical grid information is scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, and historical channel quality of all historical users;

the building module is further configured to obtain raster path information according to the historical raster path experienced by the historical user.

The construction module measures multi-site signal strength (RSRP) through historical users, positions each wireless grid granularity in a wireless grid where the historical users are located, divides the wireless grid according to the wireless grid granularity, records historical grid information of each wireless grid, the historical grid information comprises scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, historical channel quality and the like of all the historical users, records grids which are successively passed by each historical user in the coverage range of the access network equipment, namely historical grid paths, and obtains grid path information.

In combination with the first embodiment of the second aspect of the present invention, in the second embodiment of the second aspect of the present invention,

the correction module is specifically configured to extract scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, and historical channel quality of a historical user from historical grid information of the current grid;

the correction module is further used for calculating to obtain IBLER according to the scheduling parameters and the scheduling result of the historical user;

the correction module is further used for determining an MCS correction value according to the IBLER and a preset target IBLER;

the correction module is further used for selecting MCS according to the historical channel quality;

the correction module is further configured to correct the order of the MCS according to the MCS correction value;

the correction module is further used for calculating to obtain a historical uplink power initial value according to the uplink power control parameter and the uplink power control result of the historical user;

and the correction module is also used for correcting the historical uplink power initial value according to a preset power optimization rule.

After the determining module determines the current grid of the target user, the correcting module extracts scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, historical channel quality and the like of all historical users of the current grid from historical grid information of the current grid, calculates according to the scheduling parameters and the scheduling results of the historical users to obtain IBLER, determines MCS correction values according to the IBLER and preset target IBLER, selects MCS according to the historical channel quality, corrects the order of the MCS according to the MCS correction values, calculates according to the uplink power control parameters and the uplink power control results of the historical users to obtain historical uplink power initial values, and corrects the historical uplink power initial values according to preset power optimization rules. The preset target IBLER is a preset target IBLER, the MCS correction value is determined by comparing the absolute value of the difference value between the IBLER and the target IBLER, and the historical uplink power initial value is corrected by the preset power optimization rule, so that the scheduling information such as the MCS order and the uplink power initial value can be optimized according to the historical grid information.

In combination with the first embodiment of the second aspect of the present invention, in the third embodiment of the second aspect of the present invention,

the building module is further used for counting historical raster paths experienced by the historical users;

the construction module is further configured to set a sample value for each wireless grid in the historical grid path according to the occurrence frequency of the wireless grid in the historical grid path, so as to obtain wireless grid sample information;

the building module is further configured to obtain wireless grid time information according to the stay time of the historical user in each wireless grid in the historical grid path;

the construction module is further configured to obtain raster path information according to the wireless raster sample information and the wireless raster time information.

The construction module counts all historical raster paths experienced by the historical users, at least one historical raster path is provided, a sample value is set for each wireless raster in the historical raster paths according to the occurrence frequency of the wireless raster in the historical raster paths to obtain wireless raster sample information, the wireless raster sample information and the wireless raster time information are recorded to obtain raster path information, and the wireless raster time information represents the time of the historical users staying in the wireless raster.

In combination with the third embodiment of the second aspect of the present invention, in the fourth embodiment of the second aspect of the present invention,

the prediction module is further configured to determine whether the current raster is a wireless raster in the historical raster path;

the prediction module is further configured to not allocate air interface resources to the target user when the current raster is not a wireless raster in the historical raster path.

The prediction module is further configured to, when the current grid is a wireless grid in the historical grid path, obtain a sample value of the current grid, and determine a next wireless grid of the current grid according to the wireless grid sample information;

the prediction module is further configured to determine whether the next wireless grid is an end grid;

the prediction module is further configured to determine, when the next wireless grid is not the end grid, a subsequent wireless grid of the next wireless grid according to the wireless grid sample information and the sample values of the next wireless grid;

the prediction module further to determine a raster path when the next wireless raster is the end raster;

the prediction module is further configured to determine a total time for the target user to pass through the raster path according to the wireless raster time information and the raster path;

and the prediction module is also used for calculating the target data volume according to the known data storage volume, the preset data consumption and the total time of the target user.

After the determining module determines the current grid where the target user is located, the predicting module judges whether the current grid is a wireless grid recorded in a historical grid path, if not, the grid path of the target user cannot be predicted, air interface resource allocation cannot be performed on the target user, if yes, a sample value of the current grid is determined according to wireless grid sample information in grid path information, a next wireless grid behind the current grid is determined until an end grid leaving the cell is determined, the wireless grid passing between the current grid and the end grid is the grid path, the time of the historical user staying in each grid is known, and as the data storage amount and the data stream consumption amount of the target user can be preset or reported to the access network equipment at any time, according to the data storage amount, the preset data consumption amount and the total time of passing through the grid path, the target data volume may be calculated.

With reference to the second aspect of the present invention, the first embodiment of the second aspect, the second embodiment of the second aspect, the third embodiment of the second aspect, or the fourth embodiment of the second aspect, in the fifth embodiment of the second aspect of the present invention,

the air interface resource allocation module is specifically configured to determine whether the target data amount reaches a preset scheduling value;

the air interface resource allocation module is further configured to reduce the priority of air interface resource allocation of the target user when the target data volume does not reach the preset scheduling value;

the air interface resource allocation module is further configured to, when the target data amount reaches the preset scheduling value, determine whether a channel state of a radio grid where the target user is located reaches a preset scheduling condition;

the air interface resource allocation module is further configured to reduce the priority of air interface resource allocation of the target user when the channel state of the wireless grid where the target user is located does not reach a preset scheduling condition;

the air interface resource allocation module is further configured to, when the channel state of the wireless grid where the target user is located reaches a preset scheduling condition, raise the priority of air interface resource allocation of the target user.

After the prediction module determines the target data volume, the air interface resource allocation module judges whether the target data volume reaches a preset scheduling value, the preset scheduling value is a preset threshold value of priority modulation needing air interface resource allocation, if the target data volume does not reach the preset modulation value, the target user data demand is low, in order to improve the utilization rate of air interface resources, the priority of air interface resource allocation of the target user can be reduced, if the target data volume reaches the preset modulation value, whether the channel state of a wireless grid where the target user is located reaches a preset scheduling condition needs to be judged, if the preset scheduling condition indicates that the channel state is a good boundary or a bad boundary, when the preset scheduling condition is reached, the priority of air interface resource allocation of the target user is improved, and when the channel state is good, data is sent to the target user as far as possible.

A third aspect of the present invention provides an access network device, including:

the processor is used for constructing wireless grids and acquiring the raster path information of the wireless grids and the historical grid information of each wireless grid;

the processor is used for determining a current grid where a target user is located and acquiring scheduling information of the current grid, wherein the target user is a user to receive data;

the processor is used for correcting the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule;

the processor is configured to predict a raster path and a target data volume according to the raster path information and the current raster, where the target data volume is a data volume to be received by the target user;

the processor is configured to predict a channel state of each wireless raster in the raster path according to the raster path and the historical raster information, where the target data volume is a data volume to be received by the target user;

the processor is configured to determine an air interface resource allocation policy according to the target data volume and a channel state of each wireless raster in the raster path, where the air interface resource allocation policy is used to allocate air interface resources to the target user.

In a scene such as a high-speed rail, the movement of a user has a fixed line, and because the position of access network equipment such as a base station near a railway line is fixed, the change of a channel has the characteristic of strong regularity for the user, a processor can record historical raster information and raster path information of historical users of each wireless raster through the wireless raster according to the originally unknown channel condition on the whole railway line, the historical raster information comprises scheduling information and the like of the wireless raster, and the raster path information records wireless rasters which all historical users need to pass through when passing through a cell of the access network equipment. When a target user receives data, the processor determines a current grid where the target user is located, the correction module corrects scheduling information of the current grid according to historical grid information and preset optimization rules of the current grid, the prediction module predicts a grid path and a target data volume according to grid path information and the current grid, the target data volume is the data volume to be received by the target user, the channel state of each wireless grid in the grid path is predicted according to the grid path and the historical grid information, and the air interface resource allocation module selects an air interface resource allocation strategy for the wireless grids behind the current grid according to the target data volume and the channel state of each wireless grid in the grid path and is used for allocating air interface resources to the target user. Compared with the prior art, the scheduling information of the current raster is corrected according to the historical raster information, and the channel states of the raster path and the subsequent wireless raster in the raster path are predicted, so that a reasonable air interface resource allocation strategy is selected to send data to a user, the user can obtain enough data, and the network experience of the user is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the embodiments and the drawings used in the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

FIG. 1 is a schematic diagram of an application scenario or architecture provided herein;

fig. 2 is a schematic flowchart of an embodiment of a data scheduling method provided in the present application;

FIG. 3 is a schematic diagram of a constructed wireless grid as provided herein;

FIG. 4 is a schematic illustration of a historical raster path provided herein;

FIG. 5 is a schematic flow chart illustrating the process of obtaining raster paths and target data volumes provided herein;

fig. 6 is a schematic flow chart illustrating determining an air interface resource allocation policy provided in the present application;

fig. 7 is a schematic structural diagram of an embodiment of an access network device provided in the present application;

fig. 8 is a schematic structural diagram of another embodiment of an access network device provided in the present application.

Detailed Description

The technical solutions in the present application will be described clearly and completely with reference to the accompanying drawings in the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

First, a system architecture or scenario in which the present invention is applied will be briefly described.

The present invention is applied to a wireless communication scenario with a high speed and a fixed subscriber line, such as a high-speed rail scenario, as shown in fig. 1, currently, an access network device (e.g., a base station) is installed at a relatively fixed distance near the line of the high-speed rail line, when a user sits on a high-speed rail and travels from the direction of the a base station to the direction of the B base station, a mobile terminal used by the user may undergo a cell handover from the coverage of the a base station to the coverage of the B base station, and in the cell of the a base station, since the user is from far to near to far, the channel condition is regular. The existing data scheduling mode is as follows: the user measures and reports the channel quality to the base station, and the base station selects the MCS with the proper MCS order according to the channel quality. But the speed of the high-speed rail is very fast, the base station obtains the channel quality and selects the MCS, and the user has moved a long distance in the process, and the channel quality is not consistent with the time of selecting the MCS. In the prior art, if multiple users have downlink data waiting to be sent at the same time, the users need to compete for air interface resources, and the allocation of the air interface resources is determined by the policy of the base station. In the current base station, an equalization strategy is adopted when allocating resources, that is, air interface resources are evenly allocated among users with data in a certain statistical period. However, if the user is a user who needs data buffering, for example, a video user, the currently mainstream mobile phone-side video player adopts a mechanism of playing while downloading, that is, before playing, a part of video data is downloaded to the buffer of the player, the previously downloaded data in the buffer is gradually consumed during playing, and meanwhile, the background synchronously downloads the subsequent video data to maintain the data amount in the buffer at a proper level, thereby ensuring smooth playing of the video. Based on the characteristics of the video user, the equalization strategy of the air interface resources is adopted, so that the data cached by the video user is used up, and the subsequent video data needs to be downloaded, but the channel quality is poor at the moment, the subsequent video data is acquired less than the playing consumption, and the video is unsmooth.

The following describes a data scheduling method in the above system architecture or scenario by way of an embodiment.

Referring to fig. 2, an embodiment of the present invention provides a data scheduling method, including:

201. constructing wireless grids, and acquiring raster path information of the wireless grids and historical grid information of each wireless grid;

in this embodiment, in a high-speed rail scene, the movement of a user has a fixed line, and because the position of an access network device such as a base station near a railway line is fixed, for the user, the change of a channel has a strong regularity, the originally unknown channel condition on the whole high-speed rail line can be recorded by a wireless grid, the historical grid information and the grid path information of the historical user of each wireless grid are recorded by the wireless grid, the historical grid information includes the scheduling information of the wireless grid, and the grid path information records the wireless grid that all the historical users need to pass through when passing through the cell of the access network device, as shown in fig. 3, the historical grid information of one wireless grid in the wireless grids is the scheduling information of all the users in the current wireless grid.

202. Determining a current grid where a target user is located, and acquiring scheduling information of the current grid;

in this embodiment, the target user is a video user in the above scenario, and generally, when the buffer data of the video player is smaller than a certain value, the video user needs to receive subsequent video data, at this time, the access network device needs to determine the current grid where the target user is located, the number of the target users is not limited, the scheduling information of the current grid is obtained, and according to the prior art, the MCS is selected by the measured channel quality, but the order of the MCS may have a deviation.

203. Correcting the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule;

in this embodiment, historical grid information of the current grid, that is, grid information of all historical users counted up before the historical grid information is extracted, and scheduling information of the current grid is corrected according to the historical grid information and a preset optimization rule, so that the scheduling information is optimized before video data is sent, and thus sending efficiency of the video data is improved.

204. Predicting a raster path and a target data volume according to the raster path information and the current raster;

in this embodiment, since the raster path information records the wireless raster that all historical users need to pass through when passing through the cell of the access network device, the subsequent wireless raster that the target user needs to pass through after the current raster can be predicted according to the raster path information, so that the raster path can be predicted, and the raster path is determined, and the time consumed by passing through the raster path can be known according to the record of the raster path information, and the target data volume required by the target user can be obtained according to the characteristics of the video user.

205. Predicting the channel state of each wireless grid in the grid path according to the grid path and historical grid information;

in this embodiment, the channel state of each wireless raster that needs to be passed through in the raster path may be obtained according to the predicted raster path and the historical raster information.

206. And determining an air interface resource allocation strategy according to the target data volume and the channel state of each wireless grid in the grid path.

In this embodiment, an air interface resource allocation policy is determined according to a target data volume and a channel state of each wireless grid in a grid path, where the air interface resource allocation policy is used to allocate air interface resources to a target user, and mainly realizes that a channel state of the target user in a subsequent wireless grid is predicted, and allocation of air interface resources is improved in a wireless grid with good channel quality, so that the target user can obtain the target data volume as much as possible, and video card pause caused by the fact that the target data volume cannot be smoothly obtained in a wireless grid with poor channel quality is avoided.

In the embodiment of the invention, the scheduling information of the current raster is corrected according to the historical raster information, and the channel states of the raster path and the subsequent wireless raster in the raster path are predicted, so that a reasonable air interface resource allocation strategy is selected to send data to a user, the user can obtain enough data, and the network experience of the user is improved.

Optionally, in some embodiments of the present invention, constructing the wireless grids, and acquiring the raster path information of the wireless grids and the historical grid information of each wireless grid includes:

and obtaining raster path information according to historical raster paths experienced by historical users.

In the embodiment of the invention, each wireless grid granularity in a wireless grid where a historical user is located is positioned by measuring the multi-site signal strength (such as RSRP) of the historical user, the wireless grid is divided according to the wireless grid granularity, meanwhile, the historical grid information of each wireless grid is recorded, the historical grid information comprises scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, historical channel quality and the like of all the historical users, grids which are successively passed by each historical user in the coverage range of the access network equipment, namely historical grid paths are recorded, and grid path information is obtained.

Optionally, in some embodiments of the present invention, modifying the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule includes:

extracting scheduling parameters, scheduling results, uplink power control parameters, uplink power control results and historical channel quality of historical users from historical grid information of a current grid;

selecting MCS according to historical channel quality;

correcting the order of the MCS according to the MCS correction value;

calculating to obtain a historical uplink power initial value according to uplink power control parameters and uplink power control results of historical users;

In the embodiment of the invention, after the current grid of the target user is determined, the scheduling parameters, the scheduling results, the uplink power control parameters, the uplink power control results, the historical channel quality and the like of all historical users of the current grid are extracted from the historical grid information of the current grid, according to the scheduling parameters and the scheduling results of the historical users, the IBLER is obtained by calculation, and the MCS correction value is determined according to the IBLER and the preset target IBLER, specifically: setting a preset target IBLER to be x, setting a threshold value to be y, if the absolute value of the difference value between the IBLER and the preset target IBLER is within the threshold y, keeping the MCS correction value unchanged, if the absolute value of the difference value between the IBLER and the preset target IBLER is larger than the threshold y, adjusting the MCS correction value, if the IBLER is higher than the preset target IBLER, adjusting the MCS correction value downwards, and if the IBLER is lower than the preset target IBLER, adjusting the MCS correction value upwards, wherein the MCS correction value is assumed to be p. And selecting the MCS according to the historical channel quality, assuming that the order of the MCS is t, correcting the order t of the MCS according to an MCS correction value (p), calculating to obtain a historical uplink power initial value according to the uplink power control parameter and the uplink power control result of the historical user after the corrected MCS has the order of t + p, and correcting the historical uplink power initial value according to a preset power optimization rule. The preset target IBLER is a preset target IBLER, the MCS correction value is determined by comparing the absolute value of the difference value between the IBLER and the target IBLER, and the historical uplink power initial value is corrected by the preset power optimization rule, so that the scheduling information such as the MCS order and the uplink power initial value can be optimized according to the historical grid information.

Optionally, in some embodiments of the present invention, obtaining raster path information according to a historical raster path experienced by the previous user includes:

counting historical raster paths experienced by historical users;

In the embodiment of the present invention, all historical raster paths experienced by the historical users are counted, where the historical raster path is at least one, and as fig. 4 is a historical raster path diagram, since the direction of a high-speed rail has only two directions, the statistical manner is the same, there is only one historical raster path in one direction in fig. 4, and the box marked by a numeral is a wireless raster, since there are multiple historical users, it can be seen from fig. 4 that there are multiple historical raster paths, such as (5, 8,14,20) and (5,9,15,21), etc. And the next wireless grid of the wireless grid 5 can be the

wireless grid

8, 9 or 10, according to the number of occurrences of the

wireless grid

8, 9 or 10 in the historical grid path, setting a sample value for each wireless grid in the historical grid path, assuming that the wireless grid 8 occurs 2 times, the recorded sample value is 2, the wireless grid 9 occurs 5 times, the recorded sample value is 5, and the wireless grid 10 occurs 1 time, the recorded sample value is 1, the recorded sample value of the wireless grid 5 is 8, obtaining wireless grid sample information of all the wireless grids, recording the wireless grid sample information and the wireless grid time information to obtain grid path information, wherein the wireless grid time information represents the time of the historical user staying in each wireless grid in the historical grid path.

Optionally, as shown in fig. 5, in some embodiments of the present invention, obtaining the raster path and the target data volume according to the raster path information and the current raster includes:

501. judging whether the current raster is a wireless raster in the historical raster path, if so, executing 503, and if not, executing 502;

502. and no air interface resource allocation is carried out on the target user.

503. Obtaining a sample value of a current grid, and determining a next wireless grid of the current grid according to wireless grid sample information;

504. judging whether the next wireless grid is an end grid or not, if not, executing 505, and if so, executing 506;

505. determining a subsequent wireless grid of the next wireless grid according to the wireless grid sample information and the sample value of the next wireless grid;

506. determining a raster path;

507. determining the total time of the target user passing through the raster path according to the wireless raster time information and the raster path;

508. and calculating to obtain the target data volume according to the known data storage volume, the preset data consumption and the total time of the target user.

In the embodiment of the present invention, after determining the current grid where the target user is located, it is determined whether the current grid is a wireless grid recorded in the historical grid path, and if the number of the current grid is 1, as shown in fig. 4, if the current grid is not a wireless grid recorded in the historical grid path, the grid path of the target user cannot be predicted, and air interface resource allocation cannot be performed on the target user; assuming that the number of the current grid is 5, determining the sample value of the current grid according to the wireless grid sample information in the raster path information, according to the record of the above embodiment, the sample value of the current grid 5 is 8, the next wireless grid is selected from among the wireless grid 8 (sample value is 2), the wireless grid 9 (sample value is 5) and the wireless grid 10 (sample value is 1), the wireless grid 9 is selected as the next wireless grid according to the principle that the sample value is large and first, and so on until the end grid is selected, the wireless grid experienced between the current grid and the end grid is the raster path, the time that the historical user stays in each grid is known, the total time T that the target user passes through the raster path can be predicted, and since the data storage amount C and the data stream consumption amount P of the target user can be preset or reported to the access network device at any time, and calculating to obtain a target data quantity D-P T-C according to the data storage quantity C, the preset data consumption quantity P and the total time T of passing through the raster path.

Optionally, as shown in fig. 6, in some embodiments of the present invention, determining an air interface resource allocation policy according to the target data volume and a channel state of each raster in the raster path includes:

601. judging whether the target data volume reaches a preset scheduling value, if not, executing 602, and if so, executing 603;

602. reducing the priority of air interface resource allocation of a target user;

603. judging whether the channel state of the wireless grid where the target user is located reaches a preset scheduling condition or not according to the channel state, if so, executing 604, and if not, executing 602;

604. and improving the priority of the air interface resource allocation of the target user.

In the implementation of the present invention, after a target data volume is determined, it is determined whether the target data volume reaches a preset scheduling value, where the preset scheduling value is a preset threshold value for priority modulation that needs to be performed on air interface resource allocation, and when the target data volume does not reach the preset modulation value, it indicates that the data demand of a target user is small, in order to improve the utilization rate of air interface resources, the priority level of air interface resource allocation of the target user may be reduced, and when the target data volume reaches the preset modulation value, it is also necessary to determine whether the channel state of a wireless grid where the target user is located reaches a preset scheduling condition, where the preset scheduling condition indicates a good-bad boundary of the channel state, and when the preset scheduling condition is reached, the priority level of air interface resource allocation of the target user is raised, so that data is sent to the target user as far as possible when the channel.

The foregoing embodiment describes a data scheduling method, and the following embodiment describes an access network device.

Referring to fig. 7, an embodiment of the present invention provides an access network device, including:

a constructing module 701, configured to construct a wireless grid, and obtain grid path information of the wireless grid and historical grid information of each wireless grid;

a determining module 702, configured to determine a current grid where a target user is located, and obtain scheduling information of the current grid, where the target user is a user to receive data;

a modification module 703, configured to modify the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule;

a prediction module 704, configured to predict a raster path and a target data volume according to the raster path information and the current raster, where the target data volume is a data volume to be received by a target user;

a prediction module 704, configured to predict a channel state of each wireless grid in the raster path according to the raster path and the historical raster information;

an air interface resource allocation module 705, configured to determine an air interface resource allocation policy according to the target data amount and the channel state of each wireless raster in the raster path, where the air interface resource allocation policy is used to allocate air interface resources to a target user.

In the embodiment of the invention, the movement of a user in scenes such as a high-speed rail has fixed lines, and because the positions of access network equipment such as a base station and the like near a railway line are fixed, the change of a channel has the characteristic of strong regularity for the user, a building module 701 can record the originally unknown channel condition on the whole railway line, historical raster information and raster path information of historical users of each wireless raster through the wireless raster, the historical raster information comprises scheduling information and the like of the wireless raster, and the raster path information records wireless rasters which all historical users need to pass through when passing through the cell of the access network equipment. When a target user receives data, a determining module 702 determines a current grid where the target user is located, a correcting module 703 corrects scheduling information of the current grid according to historical grid information of the current grid and a preset optimization rule, a predicting module 704 predicts a grid path and a target data volume according to raster path information and the current grid, the target data volume is a data volume to be received by the target user, a channel state of each wireless grid in the grid path is predicted according to the grid path and the historical grid information, and an air interface resource allocation module 705 selects an air interface resource allocation strategy for wireless grids after the current grid according to the target data volume and the channel state of each wireless grid in the grid path, so as to allocate air interface resources to the target user. Compared with the prior art, the scheduling information of the current raster is corrected according to the historical raster information, and the channel states of the raster path and the subsequent wireless raster in the raster path are predicted, so that a reasonable air interface resource allocation strategy is selected to send data to a user, the user can obtain enough data, and the network experience of the user is improved.

Alternatively, in some embodiments of the present invention,

a building module 701, specifically configured to receive reference signal received power RSRP fed back by a historical user, and divide a wireless grid according to the RSRP;

the building module 701 is further configured to record historical grid information of each wireless grid, where the historical grid information is scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, and historical channel quality of all historical users;

the building module 701 is further configured to obtain raster path information according to a historical raster path experienced by a historical user.

In the embodiment of the present invention, a building module 701 measures multi-site signal strength (RSRP) by a historical user, locates each wireless grid granularity in a wireless grid where the historical user is located, and divides the wireless grid according to the wireless grid granularity, and at the same time, records historical grid information of each wireless grid, where the historical grid information is scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, historical channel quality, and the like of all historical users, and records grids that each historical user has successively experienced within the coverage area of the access network device, that is, historical grid paths, to obtain grid path information.

Alternatively, in some embodiments of the present invention,

a modification module 703, configured to extract scheduling parameters, scheduling results, uplink power control parameters, uplink power control results, and historical channel quality of a historical user from historical grid information of a current grid;

the correcting module 703 is further configured to calculate an initial block error rate IBLER according to the scheduling parameters and the scheduling result of the historical user;

the correction module 703 is further configured to determine an MCS correction value according to the IBLER and a preset target IBLER;

a modification module 703, configured to select an MCS according to the historical channel quality;

the correcting module 703 is further configured to correct the order of the MCS according to the MCS correction value;

the correction module 703 is further configured to calculate to obtain a historical uplink power initial value according to the uplink power control parameter and the uplink power control result of the historical user;

the correcting module 703 is further configured to correct the historical uplink power initial value according to a preset power optimization rule.

In the embodiment of the present invention, after the determining module 702 determines the current grid of the target user, the correcting module 703 extracts the scheduling parameters, the scheduling results, the uplink power control parameters, the uplink power control results, the historical channel quality, etc. of all historical users of the current grid from the historical grid information of the current grid, calculates to obtain IBLER according to the scheduling parameters and the scheduling results of the historical users, determines an MCS correction value according to the IBLER and a preset target IBLER, selects an MCS according to the historical channel quality, corrects the order of the MCS according to the MCS correction value, calculates to obtain a historical uplink power initial value according to the uplink power control parameters and the uplink power control results of the historical users, and corrects the historical uplink power initial value according to a preset power optimization rule. The preset target IBLER is a preset target IBLER, the MCS correction value is determined by comparing the absolute value of the difference value between the IBLER and the target IBLER, and the historical uplink power initial value is corrected by the preset power optimization rule, so that the scheduling information such as the MCS order and the uplink power initial value can be optimized according to the historical grid information.

Alternatively, in some embodiments of the present invention,

the building module 701 is further configured to count historical raster paths experienced by historical users;

the building module 701 is further configured to set a sample value for each wireless grid in the historical grid path according to the occurrence frequency of the wireless grid in the historical grid path, so as to obtain wireless grid sample information;

the building module 701 is further configured to obtain wireless grid time information according to the staying time of the historical user in each wireless grid in the historical grid path;

the constructing module 701 is further configured to obtain raster path information according to the wireless raster sample information and the wireless raster time information.

In the embodiment of the present invention, a building module 701 counts all historical raster paths experienced by the historical users, where there is at least one historical raster path, sets a sample value for each wireless raster in the historical raster paths according to the occurrence frequency of the wireless raster in the historical raster paths to obtain wireless raster sample information, and records the wireless raster sample information and wireless raster time information to obtain raster path information, where the wireless raster time information indicates the time that the historical users stay in the wireless raster.

Alternatively, in some embodiments of the present invention,

the prediction module 704 is further configured to determine whether the current raster is a wireless raster in the historical raster path;

the predicting module 704 is further configured to not allocate air interface resources to the target user when the current raster is not a wireless raster in the historical raster path.

The prediction module 704 is further configured to, when the current grid is a wireless grid in the historical grid path, obtain a sample value of the current grid, and determine a next wireless grid of the current grid according to the wireless grid sample information;

the prediction module 704 is further configured to determine whether the next wireless grid is an end grid;

a prediction module 704, configured to determine, when the next wireless grid is not the end grid, a subsequent wireless grid of the next wireless grid according to the wireless grid sample information and the sample value of the next wireless grid;

a prediction module 704, further configured to determine a raster path when the next wireless raster is an end raster;

a prediction module 704, further configured to determine a total time for the target user to pass through the raster path according to the wireless raster time information and the raster path;

and the predicting module 704 is further configured to calculate a target data amount according to the known data storage amount, the preset data consumption amount and the total time of the target user.

In this embodiment of the present invention, after the determining module 702 determines the current grid where the target user is located, the predicting module 704 determines whether the current grid is a wireless grid recorded in the historical grid path, if not, the grid path of the target user cannot be predicted, and air interface resource allocation cannot be performed on the target user, if yes, the sample value of the current grid is determined according to the wireless grid sample information in the grid path information, and the next wireless grid after the current grid is determined until the end grid leaving the cell is determined, where the wireless grid experienced between the current grid and the end grid is the grid path, and the time that the historical user stays in each grid is known, and since the data storage amount and the data stream consumption amount of the target user can be preset or reported to the access network device at any time, the data storage amount, the air interface resource allocation, and the like are determined according to the data storage amount, Presetting the amount of data consumption and the total time to traverse the raster path, prediction module 704 may calculate a target amount of data.

Alternatively, in some embodiments of the present invention,

the air interface resource allocation module 705 is specifically configured to determine whether the target data amount reaches a preset scheduling value;

the air interface resource allocation module 705 is further configured to reduce the priority of air interface resource allocation of the target user when the target data volume does not reach the preset scheduling value;

the air interface resource allocation module 705 is further configured to, when the target data amount reaches a preset scheduling value, determine whether a channel state of a wireless grid where the target user is located reaches a preset scheduling condition;

the air interface resource allocation module 705 is further configured to reduce the priority of air interface resource allocation of the target user when the channel state of the wireless grid where the target user is located does not reach the preset scheduling condition;

the air interface resource allocation module 705 is further configured to, when the channel state of the wireless grid where the target user is located reaches a preset scheduling condition, raise the priority of air interface resource allocation of the target user.

In this embodiment of the present invention, after the prediction module 704 determines the target data amount, the air interface resource allocation module 705 determines whether the target data amount reaches a preset scheduling value, where the preset scheduling value is a preset threshold value of priority modulation that needs to be performed on air interface resource allocation, the target data amount does not reach the preset modulation value, it means that the data requirement of the target user is small, in order to improve the utilization rate of the air interface resource, the priority of the air interface resource allocation of the target user can be reduced, the target data volume reaches the preset modulation value, it is also necessary to determine whether the channel state of the wireless grid where the target user is located reaches a preset scheduling condition, where the preset scheduling condition indicates that the channel state is a good boundary or a bad boundary, and when the preset scheduling condition is reached, and the priority of the air interface resource allocation of the target user is improved, so that data can be sent to the target user as far as possible when the channel state is good.

Referring to fig. 8, an access network device 800 according to an embodiment of the present invention includes:

the access network device 800 may include a processor 801, a transceiver 802, and a memory 803, wherein the memory 803 may be used to store code executed by the processor 801;

the various components in the access network device 800 are coupled together by a bus system 804, wherein the bus system 804 includes, in addition to a data bus, a power bus, a control bus, and a status signal bus;

the processing module 801 is configured to construct a wireless grid, and obtain grid path information of the wireless grid and historical grid information of each wireless grid;

a processing module 801, configured to determine a current grid where a target user is located, and obtain scheduling information of the current grid, where the target user is a user to receive data;

the processing module 801 is configured to modify scheduling information of a current grid according to historical grid information of the current grid and a preset optimization rule;

a processing module 801, configured to predict a raster path and a target data volume according to the raster path information and a current raster, where the target data volume is a data volume to be received by a target user;

a processing module 801, configured to predict a channel state of each wireless raster in the raster path according to the raster path and historical raster information, where a target data volume is a data volume to be received by a target user;

a processing module 801, configured to determine an air interface resource allocation policy according to the target data amount and the channel state of each wireless raster in the raster path, where the air interface resource allocation policy is used to allocate air interface resources to a target user.

In the embodiment of the present invention, compared with the prior art, the processing module 801 corrects the scheduling information of the current raster according to the historical raster information, and predicts the channel state of the raster path and the subsequent wireless raster in the raster path, so as to select a reasonable air interface resource allocation policy to send data to the user, so that the user obtains sufficient data, and the network experience of the user is improved.

It should be noted that the above-described method embodiments of the present invention may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The processor may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

It will be appreciated that the memory in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), double data rate SDRAM, enhanced SDRAM, SLDRAM, Synchronous Link DRAM (SLDRAM), and direct rambus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for scheduling data, comprising:

2. The data scheduling method of claim 1, wherein the constructing the wireless grids, and obtaining the raster path information of the wireless grids and the historical grid information of each wireless grid comprises:

receiving Reference Signal Received Power (RSRP) fed back by historical users, and dividing a wireless grid according to the RSRP;

3. The data scheduling method of claim 2, wherein the modifying the scheduling information of the current grid according to the historical grid information of the current grid and a preset optimization rule comprises:

calculating to obtain an initial block error rate IBLER according to the scheduling parameters and the scheduling result of the historical user;

selecting an MCS according to the historical channel quality;

correcting the order of the MCS according to the MCS correction value;

4. The data scheduling method of claim 2, wherein obtaining raster path information according to the historical raster path experienced by the historical users comprises:

counting historical raster paths experienced by the historical users;

5. The method of claim 4, wherein obtaining the raster path and the target data volume according to the raster path information and the current raster comprises:

if not, no air interface resource allocation is carried out on the target user;

judging whether the next wireless grid is an end grid or not;

if the grid is the end grid, determining a grid path;

6. The data scheduling method according to any one of claims 1 to 5, wherein the determining an air interface resource allocation policy according to the target data volume and a channel state of each raster in the raster path includes:

if the preset value is reached, judging whether the channel state of the wireless grid where the target user is located reaches a preset scheduling condition;

7. An access network device, comprising:

8. The access network device of claim 7,

the building module is specifically configured to receive Reference Signal Received Power (RSRP) fed back by a historical user, and divide a wireless grid according to the RSRP;

9. The access network device of claim 8,

the correction module is further used for calculating to obtain an initial block error rate IBLER according to the scheduling parameters and the scheduling result of the historical user;

10. The access network device of claim 8,

11. The access network device of claim 10,

the prediction module is further configured to not allocate air interface resources to the target user when the current raster is not a wireless raster in the historical raster path;

12. Access network device according to any of claims 7 to 11,

13. An access network device, comprising: