CN115442846A - Data distribution method and device - Google Patents
Data distribution method and device Download PDFInfo
- Publication number
- CN115442846A CN115442846A CN202110613398.6A CN202110613398A CN115442846A CN 115442846 A CN115442846 A CN 115442846A CN 202110613398 A CN202110613398 A CN 202110613398A CN 115442846 A CN115442846 A CN 115442846A
- Authority
- CN
- China
- Prior art keywords
- value
- shunting
- time
- threshold
- terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 47
- 230000015654 memory Effects 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 11
- 230000008447 perception Effects 0.000 abstract description 7
- 230000006855 networking Effects 0.000 description 9
- 238000004891 communication Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000000737 periodic effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0215—Traffic management, e.g. flow control or congestion control based on user or device properties, e.g. MTC-capable devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0231—Traffic management, e.g. flow control or congestion control based on communication conditions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0289—Congestion control
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a data distribution method and device. The method comprises the following steps: determining a next moment shunting threshold value according to a current moment shunting threshold value, a next moment shunting threshold value predicted value and a next moment shunting threshold period predicted value on the basis of a data shunting point of a target cell under the condition of meeting a preset condition; carrying out data distribution according to the distribution threshold value at the next moment; wherein the preset condition comprises any one of: the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value; the GBR terminal throughput is less than the first difference. The data distribution method and the data distribution device can realize the prediction and dynamic adjustment of the distribution threshold value of the data distribution point, thereby effectively improving the user perception.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a data offloading method and apparatus.
Background
5G (5 th generation mobile networks, fifth generation mobile communication technology) networks generally adopt an NSA networking mode (Non-Stand alone networking) as an important evolution technology for 5G business. The 3GPP (3 rd Generation Partnership Project) offers a variety of NSA networking modes, including the option3 series, option4 series, and option7 series. Under different NSA networking modes, an eNB (Evolved Node B) base station and a gNB (next generation Node B) base station respectively serve as data anchors, that is, serve as distribution and aggregation points of NSA data to undertake a offloading task of the NSA data.
In the prior art, common data offloading methods include MCG (Master Cell Group) offloading, SCG (Secondary Cell Group) offloading, and dynamic offloading based on RLC (Radio Link Control)/X2 state. The MCG offloading or SCG offloading is to fix data on one side of the MCG or SCG for offloading, and the method cannot fully utilize the advantage of NSA networking dual connection, which may cause waste of air interface resources on one side and resource congestion on the other side. The dynamic flow distribution based on the RLC/X2 state is based on the current RLC buffer state of the base station and the flow distribution regulation of the X2 link state at the data anchor point side. The method does not consider the information of the number of terminal users, the waiting time of the unscheduled terminal, the priority of the user and the like, so that the maximum terminal required throughput cannot be realized, and meanwhile, certain hysteresis exists, and the prediction of the shunting threshold cannot be realized.
Disclosure of Invention
The invention provides a data distribution method and a data distribution device, which are used for solving the technical problem that a data distribution point in the prior art cannot predict a distribution threshold.
The invention provides a data distribution method, which comprises the following steps:
determining a next moment shunting threshold value according to a current moment shunting threshold value, a next moment shunting threshold value predicted value and a next moment shunting threshold period predicted value on the basis of a data shunting point of a target cell under the condition of meeting a preset condition;
carrying out data distribution according to the distribution threshold value at the next moment;
wherein the preset condition comprises any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
In an embodiment, the determining, when the preset condition is satisfied, the next-time shunting threshold value according to the current-time shunting threshold value, the next-time shunting threshold prediction value, and the next-time shunting threshold period prediction value includes:
and determining the next-moment shunting threshold value based on the minimum value of the current-moment shunting threshold value, the next-moment shunting threshold predicted value and the next-moment shunting threshold cycle predicted value under the condition that the GBR terminal throughput is greater than the first difference value.
In an embodiment, the determining, when the preset condition is satisfied, the next-time shunting threshold value according to the current-time shunting threshold value, the next-time shunting threshold prediction value, and the next-time shunting threshold period prediction value includes:
determining the average waiting time length of a first terminal and the average waiting time length of a second terminal under the condition that the GBR terminal throughput is smaller than the first difference value;
determining the next-time shunting threshold value based on the minimum value of the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value under the condition that a second difference value between the average waiting time length of the first terminal and the waiting time length of the second terminal is greater than a preset difference value;
determining the next moment shunting threshold value based on the maximum value of the current moment shunting threshold value, the next moment shunting threshold predicted value and the next moment shunting threshold period predicted value under the condition that the second difference value is smaller than the preset difference value;
the average waiting time of the first terminal is determined based on the number of the unscheduled terminals on the first side corresponding to the data shunting point and the waiting time corresponding to each terminal, and the average waiting time of the second terminal is determined based on the number of the unscheduled terminals on the second side corresponding to the data shunting point and the waiting time corresponding to each terminal.
In one embodiment, the next-time shunt threshold prediction value is determined as follows:
and determining a predicted value of the shunt threshold at the next moment according to the shunt threshold at the current moment and the average value of the shunt threshold at the preset starting moment to the previous moment.
In one embodiment, the next-time diversion threshold period prediction value is determined as follows:
and determining the predicted value of the next-moment shunting threshold period according to the actual value of the last-moment shunting threshold period, the predicted value of the last-moment shunting threshold period and a preset average coefficient.
The invention provides a data shunting device, comprising:
the determining module is used for determining a next-time shunting threshold value according to a current-time shunting threshold value, a next-time shunting threshold predicted value and a next-time shunting threshold period predicted value on the basis of a data shunting point of a target cell under the condition that a preset condition is met;
the shunting module is used for shunting data according to the shunting threshold value at the next moment;
wherein the preset condition includes any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
In an embodiment, the determining, when the preset condition is satisfied, the next time shunting threshold value according to the current time shunting threshold value, the next time shunting threshold predicted value, and the next time shunting threshold period predicted value includes:
and determining the shunting threshold value at the next moment based on the minimum value among the shunting threshold value at the current moment, the shunting threshold predicted value at the next moment and the shunting threshold period predicted value at the next moment under the condition that the throughput of the GBR terminal is greater than the first difference value.
In an embodiment, the determining, when the preset condition is satisfied, the next-time shunting threshold value according to the current-time shunting threshold value, the next-time shunting threshold prediction value, and the next-time shunting threshold period prediction value includes:
determining the average waiting time length of a first terminal and the average waiting time length of a second terminal under the condition that the GBR terminal throughput is smaller than the first difference value;
determining the next-time shunting threshold value based on the minimum value of the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value under the condition that a second difference value between the average waiting time length of the first terminal and the waiting time length of the second terminal is greater than a preset difference value;
determining the next-time shunting threshold value based on the maximum value among the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value under the condition that the second difference value is smaller than the preset difference value;
the average waiting time of the first terminal is determined based on the number of the unscheduled terminals on the first side corresponding to the data shunting point and the waiting time corresponding to each terminal, and the average waiting time of the second terminal is determined based on the number of the unscheduled terminals on the second side corresponding to the data shunting point and the waiting time corresponding to each terminal.
The invention provides electronic equipment which comprises a memory and a memory stored with a computer program, wherein the processor realizes the steps of the data distribution method when executing the program.
The present invention provides a processor-readable storage medium storing a computer program for causing a processor to execute the steps of the data offloading method.
The invention provides a data distribution method and a device, wherein a distribution threshold value at the current moment, a distribution threshold predicted value at the next moment and a distribution threshold period predicted value at the next moment are used for determining the distribution threshold value at the next moment, so that the influence of a time sequence on the distribution threshold is fully considered; and the relation between the GBR terminal throughput of the target cell and the difference value between the current-time throughput of the target cell and the current-time shunting threshold value is combined to dynamically adjust the shunting threshold value, so that the optimal prediction and selection of the next-time shunting threshold value are realized, and the user perception is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are 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 flow chart of a data offloading method provided in the present invention;
FIG. 2 is a second schematic flow chart of a data distribution method according to the present invention;
fig. 3 is a schematic structural diagram of a data offloading device provided in the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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 invention.
Fig. 1 is a schematic flow diagram of a data offloading method provided in the present invention. Referring to fig. 1, the data offloading method provided by the present invention includes:
wherein the preset condition comprises any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
The execution main body of the data distribution method provided by the invention can be electronic equipment, a component in the electronic equipment, an integrated circuit or a chip. The electronic device may be a mobile electronic device or a non-mobile electronic device. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palmtop computer, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), and the like, and the present invention is not limited in particular.
The following describes the technical solution of the present invention in detail by taking an example in which a computer executes the data offloading method provided by the present invention.
Optionally, the data offloading method provided by the present invention may be implemented in an NSA networking mode, for example, including: option3 mode, option3X mode, option7X mode, etc., or other networking modes capable of data offloading may be employed.
Optionally, in step 110, the data diversion point in the NSA networking mode may be an eNB base station or a gNB base station. For example: in the option3X mode, the core network is an EPC (Evolved packet core), the deployment of a 5G NR (New Radio, new air interface) Radio access network uses an eNB base station in an LTE (Long term evolution) system as a master base station, and a gNB base station is a slave base station. The data plane has multiple paths for transmission, so that data shunting points exist. Data splitting in the Option3x mode is based on a data packet level, and a data splitting point is a gNB base station. And the user plane data can be loaded on the eNB base station by shunting part of the data through the gNB base station, and the rest of the data is continuously loaded on the gNB base station.
Optionally, in step 110, based on the target cell in the preset time period, calculating a predicted value of a next-time shunting threshold according to the shunting threshold of the data shunting point at multiple consecutive times; and calculating a predicted value of the next-moment shunting threshold period according to the shunting threshold value at the same moment in the fixed period. And determining the shunting threshold value at the next moment by combining the GBR terminal throughput and the current moment throughput of the target cell in the preset condition, the shunting threshold predicted value at the next moment and the shunting threshold period predicted value at the next moment under the condition of considering user perception.
Optionally, the preset condition includes any one of: the GBR (Guaranteed Bit Rate) terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and a current time shunting threshold value; the GBR terminal throughput is less than the first difference. The GBR terminal throughput is determined according to the number of GBR terminals and the bit rate minimum threshold corresponding to each terminal.
For example: assuming that the target cell is an LTE cell and the throughput at the current time is N LTE Current time shunting threshold value
The number of GBR terminals is m, and the minimum threshold corresponding to the bit rate minimum threshold corresponding to each terminal is x in sequence 1 、x 2 、…x m GBR terminal throughput G x The minimum requirements are as follows:
when the throughput of the GBR terminal is larger than a first difference value between the throughput at the current moment and a current moment shunting threshold value
Now, it is described that the GBR terminal throughput G cannot be reached x At minimum, the GBR terminal bit rate cannot be guaranteed. When the GBR terminal throughput is less than the first difference value
It means that the GBR terminal bit rate can be guaranteed at this time.
Optionally, in step 120, the splitting threshold of the data splitting point at the next time is set as the splitting threshold at the next time, so that the splitting threshold at each time is optimally predicted and selected.
The data distribution method provided by the invention adopts the distribution threshold value at the current moment, the distribution threshold predicted value at the next moment and the distribution threshold period predicted value at the next moment to determine the distribution threshold value at the next moment, and fully considers the influence of the time sequence on the distribution threshold; and the relation between the GBR terminal throughput of the target cell and the difference value between the current-time throughput of the target cell and the current-time shunting threshold value is combined to dynamically adjust the shunting threshold value, so that the optimal prediction and selection of the next-time shunting threshold value are realized, and the user perception is effectively improved.
In an embodiment, the determining, when the preset condition is satisfied, the next-time shunting threshold value according to the current-time shunting threshold value, the next-time shunting threshold prediction value, and the next-time shunting threshold period prediction value includes:
and determining the next-moment shunting threshold value based on the minimum value of the current-moment shunting threshold value, the next-moment shunting threshold predicted value and the next-moment shunting threshold cycle predicted value under the condition that the GBR terminal throughput is greater than the first difference value.
Optionally, under the condition that the throughput of the GBR terminal is greater than the first difference between the throughput at the current time and the current time shunting threshold, after the data shunting point branches a part of bandwidth, the minimum requirement of the throughput of the GBR terminal cannot be met, that is, the bit rate of the GBR terminal cannot be guaranteed, then a fast decrementing strategy is required to be adopted to reduce the shunting threshold at the data shunting point side. Therefore, the next-time shunting threshold value is determined based on the minimum value among the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value.
Optionally, assume that the next time split threshold is
Shunt threshold value at present
Next moment shunting threshold predicted value w 1 Next moment shunting threshold period predicted value w 2 Then there is
According to the data distribution method provided by the invention, the distribution threshold value at the next moment is reduced by adopting a fast decreasing strategy, so that the minimum requirement of the GBR terminal throughput is met, the bit rate of the GBR terminal is ensured, and the user perception is effectively improved; and the dynamic adjustment of the shunting threshold by the data shunting point is realized by judging the throughput of the GBR terminal and the first difference value.
In an embodiment, the determining, when the preset condition is satisfied, the next-time shunting threshold value according to the current-time shunting threshold value, the next-time shunting threshold prediction value, and the next-time shunting threshold period prediction value includes:
determining the average waiting time length of a first terminal and the average waiting time length of a second terminal under the condition that the GBR terminal throughput is smaller than the first difference value;
determining the next-time shunting threshold value based on the minimum value of the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value under the condition that a second difference value between the first terminal average waiting time length and the second terminal waiting time length is greater than a preset difference value;
determining the next moment shunting threshold value based on the maximum value of the current moment shunting threshold value, the next moment shunting threshold predicted value and the next moment shunting threshold period predicted value under the condition that the second difference value is smaller than the preset difference value;
the average waiting time of the first terminal is determined based on the number of the unscheduled terminals on the first side corresponding to the data distribution point and the waiting time corresponding to each terminal, and the average waiting time of the second terminal is determined based on the number of the unscheduled terminals on the second side corresponding to the data distribution point and the waiting time corresponding to each terminal.
Optionally, in a case that the GBR terminal throughput is greater than the first difference, a first terminal average waiting duration and a second terminal average waiting duration are determined. The average waiting time of the terminals is determined according to the number of the unscheduled terminals in the target cell and the waiting time corresponding to each terminal. The non-scheduling terminal comprises a first side non-scheduling terminal and a second side non-scheduling terminal of the target cell data shunting point. In the NSA networking mode, one side of the data splitting point may be an eNB side or a gNB side.
Alternatively, assuming the option3 mode is adopted, the gNB is the data splitting point. And if the target cell is an LTE cell, a first-side unscheduled terminal is an eNB side terminal, and a second-side unscheduled terminal is a gNB side terminal. And collecting eNB terminal information and gNB terminal information in the cell and average waiting time of unscheduled terminals at the eNB side and the gNB side.
For example: assuming that the current non-scheduled terminal at the eNB side is i, the waiting time t corresponding to each terminal i The number of the class terminals is u 1 If yes, the average waiting time of the currently unscheduled terminal at the eNB side is:
assuming that the current non-scheduled terminal at the gNB side is j, the waiting time t corresponding to each terminal j The number of the terminals of the type is u 2 If yes, the average waiting time of the currently unscheduled terminal at the gbb side is:
when the GBR terminal throughput is less than the first difference value
When T is determined 1 And T 2 And if so, comparing the average waiting time of the unscheduled terminals on the eNB side and the gNB side.
Optionally, when a second difference between the average waiting time of the first terminal and the waiting time of the second terminal is greater than the preset difference, that is, the average waiting time of the first terminal is too long, the shunting threshold value at the next time needs to be properly reduced. Therefore, the next-time shunting threshold value is determined based on the minimum value among the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value.
For example: if T 1 -T 2 ＞Δ t That is, the average waiting time of the eNB-side terminal is longer than the average waiting time of the gbb-side terminal, the average waiting time of the eNB-side terminal is too long, and the offloading threshold value at the next time needs to be decreased, then the offloading threshold value at the next time exists
Comprises the following steps:
wherein, delta t Is a preset difference value, v 1 Desired perceived rate, u, for the eNB side end user 1 The number of non-scheduled terminals (i.e., the number of terminals waiting to be scheduled) is set to the eNB side.
Optionally, when the second difference is smaller than the preset difference, the average waiting time of the first terminal is smaller than the average waiting time of the second terminal, that is, the average waiting time of the second terminal is too long, and the shunt threshold value at the next time needs to be properly increased. Therefore, the next moment shunting threshold value is determined based on the maximum value among the current moment shunting threshold value, the next moment shunting threshold predicted value and the next moment shunting threshold period predicted value.
For example: if T 1 -T 2 ＜Δ t That is, the average waiting duration of the eNB side terminal is less than the average waiting duration of the gbb side terminal, the average waiting duration of the gbb side terminal is too long, and the shunting threshold value at the next time needs to be increased, then the shunting threshold value at the next time exists
Comprises the following steps:
wherein, delta t Is a preset difference value, v 2 For the gNB side terminal user to expect the perception rate u 2 The number of non-scheduled terminals (i.e., the number of terminals waiting to be scheduled) is set to the eNB side.
Optionally, when the absolute value of the second difference is smaller than the preset difference, the difference between the average waiting time of the first terminal and the average waiting time of the second terminal is smaller, and then one of the current time shunting threshold value, the next time shunting threshold prediction value and the next time shunting threshold period prediction value is randomly selected as the next time shunting threshold value.
For example: if T 1 -T| 2 ＜Δ t If the difference between the average waiting time of the eNB side terminal and the average waiting time of the gNB side terminal is small, the eNB side terminal randomly selects the average waiting time of the gNB side terminal
As the next time shunting threshold, there is the next time shunting threshold
Comprises the following steps:
according to the data distribution method provided by the invention, the average waiting time of the first terminal and the average waiting time of the second terminal are compared based on the throughput of the GBR terminal, and the distribution threshold value at the next moment is determined, so that the dynamic adjustment of the distribution threshold by the data distribution point is realized.
In one embodiment, the next-time shunt threshold prediction value is determined as follows:
and determining a predicted value of the shunt threshold at the next moment according to the shunt threshold at the current moment and the average value of the shunt threshold at the preset starting moment to the previous moment.
Optionally, according to the shunting threshold values of the data shunting point at a plurality of continuous moments, an average value of the current-moment shunting threshold value and the shunting threshold value from the preset starting moment to the previous moment may be obtained, and then a next-moment shunting threshold predicted value is determined.
For example: assuming that the average shunt threshold value after n time points is W 1 That is, as a next time shunting threshold prediction value after passing through a preset time to a current time, there are:
wherein the content of the first and second substances,
a threshold value is distributed for the current moment of the data distribution point;
the average value of the shunt threshold is the average value of the shunt threshold at the last moment; next moment shunting threshold predicted value W 1 The method comprises the steps of reflecting the longitudinal continuous change condition of n moments within a preset time period of a shunt threshold value; the flow-dividing threshold value w indicates the flow divided by the data dividing point to the other side. Shunting threshold value at current moment in the mode
Mainly referring to the bandwidth occupied by the gbb side terminal.
According to the data distribution method provided by the invention, the distribution threshold value at the historical moment is utilized fully, the continuous change condition of the distribution threshold value at different moments is utilized, the distribution threshold value predicted value at the next moment is determined, the dynamic prediction of the distribution threshold value based on the time sequence is realized, and the timeliness and the accuracy of the distribution threshold value prediction are improved.
In one embodiment, the next-time shunting threshold period prediction value is determined as follows:
and determining the predicted value of the next-moment shunting threshold period according to the actual value of the last-moment shunting threshold period, the predicted value of the last-moment shunting threshold period and a preset average coefficient.
Optionally, the shunting threshold value at every fixed period may be calculated according to the periodic variation of the shunting threshold value of the data shunting point, and then the shunting threshold period predicted value at the next time may be determined according to the actual value of the shunting threshold period at the previous time, the predicted value of the shunting threshold period at the previous time, and the preset average coefficient.
For example: assuming that the weighted average of the shunt threshold values every fixed period t is W 2 That is, as the predicted value of the shunting threshold period at the next time, there are:
wherein, W 2 The actual setting value of the shunting threshold value of the last time period t-1;
is the last time period W 2 The predicted value of the shunting threshold period is obtained; a is a moving average coefficient, and a can be set to a coefficient greater than 0.5; t is a period, and the period t can be 1 hour, 24 hours and the like, and can be set according to actual conditions. W is a group of 2 The method can reflect the periodic prediction of the shunt value at the same time every day, and measures the periodic change of the shunt threshold value within a certain time span.
According to the data distribution method provided by the invention, the predicted value of the distribution threshold period at the next moment is determined according to the change condition of the distribution threshold value at the same moment in a certain period, so that the dynamic prediction of the distribution threshold value based on a time sequence is realized, and the timeliness and the accuracy of the distribution threshold value prediction are improved.
Fig. 2 is a second schematic flow chart of the data offloading method provided by the present invention. Referring to fig. 2, the data offloading method provided by the present invention includes:
The data offloading device provided by the present invention is described below, and the data offloading device described below and the data offloading method described above may be referred to correspondingly.
Fig. 3 is a schematic structural diagram of a data offloading device provided in the present invention. Referring to fig. 3, the data offloading device provided by the present invention includes:
a determining module 310, configured to determine a next-time splitting threshold value according to a current-time splitting threshold value, a next-time splitting threshold prediction value, and a next-time splitting threshold period prediction value, when a preset condition is met, based on a data splitting point of a target cell;
the shunting module 320 is configured to perform data shunting according to the next time shunting threshold value;
wherein the preset condition includes any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
The data distribution method provided by the invention adopts the distribution threshold value at the current moment, the distribution threshold predicted value at the next moment and the distribution threshold period predicted value at the next moment to determine the distribution threshold value at the next moment, and fully considers the influence of a time sequence on the distribution threshold; and the relation between the GBR terminal throughput of the target cell and the difference between the current-time throughput of the target cell and the current-time shunting threshold value is combined to dynamically adjust the shunting threshold value, so that the optimal prediction and selection of the next-time shunting threshold value are realized, and the user perception is effectively improved.
In an embodiment, the determining module 310 is further specifically configured to:
and determining the next-moment shunting threshold value based on the minimum value of the current-moment shunting threshold value, the next-moment shunting threshold predicted value and the next-moment shunting threshold cycle predicted value under the condition that the GBR terminal throughput is greater than the first difference value.
In an embodiment, the determining module 310 is further specifically configured to:
determining the average waiting time length of a first terminal and the average waiting time length of a second terminal under the condition that the GBR terminal throughput is smaller than the first difference value;
determining the next-time shunting threshold value based on the minimum value of the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value under the condition that a second difference value between the first terminal average waiting time length and the second terminal waiting time length is greater than a preset difference value;
determining the next moment shunting threshold value based on the maximum value of the current moment shunting threshold value, the next moment shunting threshold predicted value and the next moment shunting threshold period predicted value under the condition that the second difference value is smaller than the preset difference value;
the average waiting time of the first terminal is determined based on the number of the unscheduled terminals on the first side corresponding to the data distribution point and the waiting time corresponding to each terminal, and the average waiting time of the second terminal is determined based on the number of the unscheduled terminals on the second side corresponding to the data distribution point and the waiting time corresponding to each terminal.
In one embodiment, the next-time shunt threshold prediction value is determined as follows:
and determining the predicted value of the shunting threshold at the next moment according to the shunting threshold at the current moment and the average value of the shunting threshold at the preset starting moment to the previous moment.
In one embodiment, the next-time shunting threshold period prediction value is determined as follows:
and determining the predicted value of the next-moment shunting threshold period according to the actual value of the last-moment shunting threshold period, the predicted value of the last-moment shunting threshold period and a preset average coefficient.
Fig. 4 illustrates a schematic structural diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor) 410, a Communication Interface (Communication Interface) 420, a memory (memory) 430 and a Communication bus 440, wherein the processor 410, the Communication Interface 420 and the memory 430 are communicated with each other via the Communication bus 440. The processor 410 may invoke computer programs in the memory 430 to perform the steps of the data splitting method, including, for example:
determining a next moment shunting threshold value according to a current moment shunting threshold value, a next moment shunting threshold value predicted value and a next moment shunting threshold period predicted value on the basis of a data shunting point of a target cell under the condition of meeting a preset condition;
carrying out data distribution according to the distribution threshold value at the next moment;
wherein the preset condition comprises any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, when the program instructions are executed by a computer, the computer being capable of executing the data offloading method provided by the above methods, the method including:
determining a next-time shunting threshold value according to a current-time shunting threshold value, a next-time shunting threshold value predicted value and a next-time shunting threshold period predicted value on the basis of a data shunting point of a target cell under the condition of meeting a preset condition;
carrying out data distribution according to the distribution threshold value at the next moment;
wherein the preset condition comprises any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
On the other hand, an embodiment of the present application further provides a processor-readable storage medium, where the processor-readable storage medium stores a computer program, where the computer program is configured to enable the processor to execute the data offloading method provided in the foregoing embodiments, for example, the method includes:
determining a next-time shunting threshold value according to a current-time shunting threshold value, a next-time shunting threshold value predicted value and a next-time shunting threshold period predicted value on the basis of a data shunting point of a target cell under the condition of meeting a preset condition;
carrying out data distribution according to the distribution threshold value at the next moment;
wherein the preset condition comprises any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
The processor-readable storage medium can be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memories (NAND FLASH), solid State Disks (SSDs)), etc.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on the understanding, the above technical solutions substantially or otherwise contributing to the prior art may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will 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 such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A data distribution method is characterized by comprising the following steps:
determining a next moment shunting threshold value according to a current moment shunting threshold value, a next moment shunting threshold value predicted value and a next moment shunting threshold period predicted value on the basis of a data shunting point of a target cell under the condition of meeting a preset condition;
carrying out data distribution according to the distribution threshold value at the next moment;
wherein the preset condition includes any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
2. The data offloading method according to claim 1, wherein determining the offloading threshold value at the next time according to the offloading threshold value at the current time, the offloading threshold value at the next time, and the offloading threshold period prediction value at the next time when a preset condition is satisfied includes:
and determining the next-moment shunting threshold value based on the minimum value of the current-moment shunting threshold value, the next-moment shunting threshold predicted value and the next-moment shunting threshold cycle predicted value under the condition that the GBR terminal throughput is greater than the first difference value.
3. The data splitting method according to claim 1, wherein the determining a splitting threshold value at a next time according to a splitting threshold value at a current time, a splitting threshold prediction value at a next time, and a splitting threshold period prediction value at a next time when a preset condition is satisfied includes:
determining the average waiting time length of a first terminal and the average waiting time length of a second terminal under the condition that the GBR terminal throughput is smaller than the first difference value;
determining the next-time shunting threshold value based on the minimum value of the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value under the condition that a second difference value between the average waiting time length of the first terminal and the waiting time length of the second terminal is greater than a preset difference value;
determining the next moment shunting threshold value based on the maximum value of the current moment shunting threshold value, the next moment shunting threshold predicted value and the next moment shunting threshold period predicted value under the condition that the second difference value is smaller than the preset difference value;
the average waiting time of the first terminal is determined based on the number of the unscheduled terminals on the first side corresponding to the data shunting point and the waiting time corresponding to each terminal, and the average waiting time of the second terminal is determined based on the number of the unscheduled terminals on the second side corresponding to the data shunting point and the waiting time corresponding to each terminal.
4. The data splitting method according to any one of claims 1 to 3, wherein the next time splitting threshold prediction value is determined by:
and determining a predicted value of the shunt threshold at the next moment according to the shunt threshold at the current moment and the average value of the shunt threshold at the preset starting moment to the previous moment.
5. The data splitting method according to any one of claims 1 to 3, wherein the next-time splitting threshold period prediction value is determined by:
and determining the predicted value of the next-moment shunting threshold period according to the actual value of the last-moment shunting threshold period, the predicted value of the last-moment shunting threshold period and a preset average coefficient.
6. A data offloading device, comprising:
the determining module is used for determining a next-time shunting threshold value according to a current-time shunting threshold value, a next-time shunting threshold predicted value and a next-time shunting threshold period predicted value on the basis of a data shunting point of a target cell under the condition that a preset condition is met;
the shunting module is used for shunting data according to the shunting threshold value at the next moment;
wherein the preset condition includes any one of:
the GBR terminal throughput of the target cell is larger than a first difference value between the current time throughput of the target cell and the current time shunting threshold value;
the GBR terminal throughput is less than the first difference.
7. The data splitting device according to claim 6, wherein the determining a next time splitting threshold value according to the current time splitting threshold value, a next time splitting threshold prediction value, and a next time splitting threshold period prediction value when the preset condition is satisfied includes:
and determining the shunting threshold value at the next moment based on the minimum value among the shunting threshold value at the current moment, the shunting threshold predicted value at the next moment and the shunting threshold period predicted value at the next moment under the condition that the throughput of the GBR terminal is greater than the first difference value.
8. The data splitting device according to claim 6, wherein the determining a next time splitting threshold value according to the current time splitting threshold value, a next time splitting threshold prediction value, and a next time splitting threshold period prediction value when the preset condition is satisfied includes:
determining the average waiting time length of a first terminal and the average waiting time length of a second terminal under the condition that the GBR terminal throughput is smaller than the first difference value;
determining the next-time shunting threshold value based on the minimum value of the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value under the condition that a second difference value between the first terminal average waiting time length and the second terminal waiting time length is greater than a preset difference value;
determining the next-time shunting threshold value based on the maximum value among the current-time shunting threshold value, the next-time shunting threshold predicted value and the next-time shunting threshold period predicted value under the condition that the second difference value is smaller than the preset difference value;
the average waiting time of the first terminal is determined based on the number of the unscheduled terminals on the first side corresponding to the data distribution point and the waiting time corresponding to each terminal, and the average waiting time of the second terminal is determined based on the number of the unscheduled terminals on the second side corresponding to the data distribution point and the waiting time corresponding to each terminal.
9. An electronic device comprising a processor and a memory storing a computer program, wherein the processor implements the steps of the data offloading method according to any one of claims 1 to 5 when executing the computer program.
10. A processor-readable storage medium, wherein the processor-readable storage medium stores a computer program for causing a processor to execute the steps of the data offloading method according to any one of claims 1 through 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110613398.6A CN115442846A (en) | 2021-06-02 | 2021-06-02 | Data distribution method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110613398.6A CN115442846A (en) | 2021-06-02 | 2021-06-02 | Data distribution method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115442846A true CN115442846A (en) | 2022-12-06 |
Family
ID=84240361
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110613398.6A Pending CN115442846A (en) | 2021-06-02 | 2021-06-02 | Data distribution method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115442846A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102811465A (en) * | 2012-07-11 | 2012-12-05 | 北京邮电大学 | Service shunting system and method based on feedback information under heterogeneous network |
| US20150271698A1 (en) * | 2014-03-21 | 2015-09-24 | Nokia Technologies Oy | Method, Apparatus, And Computer Program Product For Facilitating Load Based Changes Of Data Offloading Thresholds |
| CN106465207A (en) * | 2014-10-15 | 2017-02-22 | 华为技术有限公司 | Load distributing method and network-side device in heterogeneous network |
| CN108337190A (en) * | 2018-01-31 | 2018-07-27 | 新华三技术有限公司 | Shunt method and device |
| CN111010711A (en) * | 2019-11-08 | 2020-04-14 | 京信通信系统（中国）有限公司 | Data distribution strategy determination method, system, auxiliary base station, main base station and equipment |
| CN111050360A (en) * | 2019-11-21 | 2020-04-21 | 京信通信系统（中国）有限公司 | Uplink data distribution method, device, base station and computer readable storage medium |
| CN112714417A (en) * | 2021-01-29 | 2021-04-27 | 南京邮电大学 | C-V2X traffic flow control method for cellular internet of vehicles |
-
2021
- 2021-06-02 CN CN202110613398.6A patent/CN115442846A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102811465A (en) * | 2012-07-11 | 2012-12-05 | 北京邮电大学 | Service shunting system and method based on feedback information under heterogeneous network |
| US20150271698A1 (en) * | 2014-03-21 | 2015-09-24 | Nokia Technologies Oy | Method, Apparatus, And Computer Program Product For Facilitating Load Based Changes Of Data Offloading Thresholds |
| CN106465207A (en) * | 2014-10-15 | 2017-02-22 | 华为技术有限公司 | Load distributing method and network-side device in heterogeneous network |
| CN108337190A (en) * | 2018-01-31 | 2018-07-27 | 新华三技术有限公司 | Shunt method and device |
| CN111010711A (en) * | 2019-11-08 | 2020-04-14 | 京信通信系统（中国）有限公司 | Data distribution strategy determination method, system, auxiliary base station, main base station and equipment |
| CN111050360A (en) * | 2019-11-21 | 2020-04-21 | 京信通信系统（中国）有限公司 | Uplink data distribution method, device, base station and computer readable storage medium |
| CN112714417A (en) * | 2021-01-29 | 2021-04-27 | 南京邮电大学 | C-V2X traffic flow control method for cellular internet of vehicles |
Non-Patent Citations (2)
| Title |
|---|
| ERICSSON: "R2-1702749 " UL split in Dual Connectivity"", 《3GPP TSG-RAN WG2 #97BIS TDOC R2-1702749》, 7 April 2017 (2017-04-07) * |
| 巴欣然: ""5Ｇ网络下多连接关键技术的研究"", 《中国优秀博士学位论文全文数据库（信息科技I辑）》, 15 January 2021 (2021-01-15) * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109511156B (en) | Method and device for selecting PRACH (physical random Access channel) resources | |
| US9826430B2 (en) | Controlling uplink congestion in a wireless communication network | |
| US8611825B2 (en) | Method and apparatus for providing a dynamic inactivity timer in a wireless communications network | |
| US8885584B2 (en) | Multiple concurrent data link management | |
| CN110248417B (en) | Resource allocation method and system for communication service in power Internet of things | |
| US9928209B2 (en) | Pre-buffering of content data items to be rendered at a mobile terminal | |
| US20120182890A1 (en) | Adaptive peer discovery based on non peer discovery transmissions and device density for wi-fi | |
| US9380605B1 (en) | Allocating resources in a wireless communication system | |
| WO2014094310A1 (en) | Resource scheduling method and device | |
| US20230224693A1 (en) | Communication method and device, and electronic device and computer-readable storage medium | |
| CN110324883B (en) | Method for configuring physical downlink control channel, user equipment and network side equipment | |
| US8699464B1 (en) | Multi-band communication with a wireless device | |
| CN104581970A (en) | Adaptive-scheduling method and equipment | |
| CN101702821B (en) | Admittance method, device and communication system | |
| CN101932101A (en) | Transmission time interval (TTI) adjustment method and network equipment | |
| CN102695283B (en) | Dispatching method of downlink subframes and base station | |
| CN114208255A (en) | Communication method and apparatus, electronic apparatus, and computer-readable storage medium | |
| CN115442846A (en) | Data distribution method and device | |
| Semov et al. | Adaptive resource scheduling based on neural network and mobile traffic prediction | |
| EP2930617A1 (en) | Resource management method and device | |
| CN112020073B (en) | Cell classification method and device | |
| CN111867111B (en) | Method and device for scheduling equipment | |
| CN114449664A (en) | Uplink resource allocation method, system, intelligent terminal and storage medium | |
| US9088959B1 (en) | Paging back-off timer | |
| KR101640541B1 (en) | Mobile device and method for channel access using the mobile device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |