CN111385800A - Carrier scheduling method and device for LTE capacity balance - Google Patents

Carrier scheduling method and device for LTE capacity balance Download PDF

Info

Publication number
CN111385800A
CN111385800A CN201811634455.3A CN201811634455A CN111385800A CN 111385800 A CN111385800 A CN 111385800A CN 201811634455 A CN201811634455 A CN 201811634455A CN 111385800 A CN111385800 A CN 111385800A
Authority
CN
China
Prior art keywords
cell
term
expanded
scheduling
dynamic short
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.)
Granted
Application number
CN201811634455.3A
Other languages
Chinese (zh)
Other versions
CN111385800B (en
Inventor
刘兵
王明
张琪斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Boco Inter Telecom Technology Co ltd
Original Assignee
Beijing Boco Inter Telecom Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Boco Inter Telecom Technology Co ltd filed Critical Beijing Boco Inter Telecom Technology Co ltd
Priority to CN201811634455.3A priority Critical patent/CN111385800B/en
Publication of CN111385800A publication Critical patent/CN111385800A/en
Application granted granted Critical
Publication of CN111385800B publication Critical patent/CN111385800B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10Dynamic resource partitioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/08Load balancing or load distribution
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453Resources in frequency domain, e.g. a carrier in FDMA
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/12Wireless traffic scheduling
    • H04W72/1263Mapping of traffic onto schedule, e.g. scheduled allocation or multiplexing of flows
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/535Allocation or scheduling criteria for wireless resources based on resource usage policies

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a carrier scheduling method for LTE capacity equalization, which comprises the following steps: determining a high-load cell to be expanded and a low-load cell in the LTE cell according to transmission data and flow data of the LTE cell in a set time period; acquiring a dynamic short-term capacity expansion cell in the high-load cell to be expanded and a dynamic short-term idle cell in the low-load cell according to the fault information, the load balance information and the resource configuration information of the high-load cell to be expanded; determining an area to be expanded of the dynamic short-term expansion cell and an idleable area of the dynamic short-term idle cell according to performance data, planning data and scene resource data of the dynamic short-term expansion cell and the dynamic short-term idle cell; presetting a scheduling strategy, and acquiring the scheduling strategy of the dynamic short-term expansion cell according to the scheduling characteristic parameter information of the dynamic short-term expansion cell; and executing a scheduling task according to the scheduling strategy, and matching the area to be expanded of the dynamic short-term expansion cell with the free area of the dynamic short-term free cell. The invention also discloses a carrier scheduling device for LTE capacity equalization.

Description

Carrier scheduling method and device for LTE capacity balance
Technical Field
The present invention relates to the communications industry, and more particularly, to a carrier scheduling technique.
Background
After the LTE mobile communication network is built on a large scale for many years, the overall network performance has reached a high level. With the popularization of unlimited packages, the flow of 4G in the whole network continuously and rapidly increases; the problem of high load in a hot spot area is more prominent due to the imbalance of services; the change of the user behavior habits also leads to stronger business guarantee requirements for high-speed and low-delay requirements of videos, games and the like, and brings huge pressure on wireless network optimization work; the rapid construction of the 4G network leads to the increasing of the existing network stock resources, and how to take charge of the existing network resources, dig the inefficient carrier frequency and improve the resource use efficiency becomes an important part of load improvement.
The flow rate becomes the most important profit point of an operator, a capacity expansion optimization system facing to the high flow rate problem is established, the problem of capacity limitation of the current network and the future is solved, and the network performance and the user perception are ensured.
The tidal effect of partial areas of the existing network is obvious, and a large number of cells are in a periodic idle state, so that the existing network stock resources are required to be stocked, a carrier resource automatic scheduling system is established, the automatic scheduling of carrier soft resources (License) under a local network is realized, the network load problem of the tidal cells is effectively solved, the investment is saved, and the network load problem is solved to a certain extent.
Therefore, how to furthest draw the idle resources of the idle cell according to the use condition of the current network resources is a problem to be solved urgently.
Disclosure of Invention
The invention provides a carrier scheduling method for LTE capacity equalization, which comprises the following steps:
determining a high-load cell to be expanded and a low-load cell in the LTE cell according to transmission data and flow data of the LTE cell in a set time period;
acquiring a dynamic short-term capacity expansion cell in the high-load cell to be expanded and a dynamic short-term idle cell in the low-load cell according to the fault information, the load balance information and the resource configuration information of the high-load cell to be expanded and the low-load cell;
determining an area to be expanded of the dynamic short-term expansion cell and an idleable area of the dynamic short-term idle cell according to performance data, planning data and scene resource data of the dynamic short-term expansion cell and the dynamic short-term idle cell;
presetting a scheduling strategy, and acquiring the scheduling strategy of the dynamic short-term expansion cell according to the scheduling characteristic parameter information of the dynamic short-term expansion cell;
and executing a scheduling task according to the scheduling strategy, and matching the area to be expanded of the dynamic short-term expansion cell with the free area of the dynamic short-term free cell.
Preferably, the method further comprises:
presetting a cell data planning template, and importing planning data of the dynamic short-term expansion cell and the dynamic short-term idle cell into the scheduling task according to the cell planning template;
generating a script command according to the planning parameter data of the dynamic short-term capacity expansion cell and the dynamic short-term idle cell;
executing a corresponding scheduling task according to the scheduling strategy of the dynamic short-term capacity expansion cell according to the script command;
and executing the scheduling task to automatically match the area to be expanded of the dynamic short-term expansion cell with the area to be idled of the dynamic short-term idled cell according to a principle of priority of the long idled area.
Further, the method for determining the high-load cell to be expanded and the low-load cell in the LTE cell according to the transmission data and the traffic data of the LTE cell in the set time period is specifically as follows:
when transmission data and flow data of the LTE cell in a set time period meet a preset high load threshold value, determining the LTE cell as a high load cell to be expanded;
and when the transmission data and the flow data of the LTE cell in a set time period meet a preset idle threshold value and the LTE cell is a non-urban low-flow cell, determining that the LTE cell is a low-load cell.
Further, the method for obtaining the dynamic short-term capacity expansion cell in the high-load cell to be expanded according to the fault information, the load balancing information and the resource configuration information of the high-load cell to be expanded specifically includes:
judging whether the high-load cell to be expanded has a fault according to the fault information of the high-load cell to be expanded;
judging whether the high-load cell to be expanded is load balanced or not according to the load balancing information of the high-load cell to be expanded;
judging whether the high-load cell to be expanded is in full resource allocation and limited hardware according to the resource configuration information of the high-load cell to be expanded;
and determining the high-load cell to be expanded without faults, load balance, non-resource full allocation and non-hardware limitation as a dynamic short-term expansion cell.
In detail, the method for determining the area to be expanded of the dynamic short-term expansion cell and the free area of the dynamic short-term free cell according to the performance data, the planning data, and the scene resource data of the dynamic short-term expansion cell and the dynamic short-term free cell specifically includes:
acquiring performance data in the dynamic short-term idle cell cycle, determining the idle time period of the dynamic short-term idle cell according to the performance data in the dynamic short-term idle cell cycle and the preset idle time rule, and acquiring an idle-capable area of the dynamic short-term idle cell according to the idle time period of the dynamic short-term idle cell and cell frequency point frequency band information in combination with a preset sector carrier frequency value, wherein the idle-capable area comprises an idle-capable time period and an idle-capable frequency band;
acquiring performance data in the dynamic short-term capacity expansion cell cycle, determining a short-term capacity expansion duration of the dynamic short-term capacity expansion cell according to the performance data in the dynamic short-term capacity expansion cell cycle and the preset capacity expansion rule, and combining the preset capacity expansion rule according to the short-term capacity expansion duration and frequency point frequency band information of uplink and downlink PRBs (physical resource blocks) utilization rate, the number of users, flow and the cell to obtain a to-be-expanded area of the dynamic short-term capacity expansion cell, wherein the to-be-expanded area comprises the to-be-expanded time and the to-be-expanded frequency band.
Preferably:
the preset idle time rule is specifically as follows: presetting a cell flow value and the number of users in a period, and recording cell time intervals meeting the flow value and the number of users; acquiring an intersection time interval A of cell time intervals meeting a preset time length A in a cycle, wherein the intersection time interval A is an idle time interval, and recording the idle time interval and a cell corresponding to the idle time interval;
the preset capacity expansion rule is specifically as follows: the method comprises the steps of presetting cell load numerical values and time length numerical values in a period, recording cells meeting the cell load numerical values and the time length numerical values, recording cell time periods meeting the preset upper PRB utilization rate and the preset lower PRB utilization rate and the user quantity in the cell period, obtaining intersection time periods B of the cell time periods meeting the preset time length B in the period, wherein the intersection time periods B are short-term expansion continuous time periods, and recording the short-term expansion continuous time periods and the corresponding cells.
In detail, the method for acquiring the scheduling policy of the dynamic short-term scalability cell according to the scheduling characteristic parameter information of the dynamic short-term scalability cell by the preset scheduling policy specifically includes:
determining scheduling characteristic parameter information and scheduling strategies of different scenes according to the scenes;
the scheduling characteristic parameter information at least comprises one of time interval idle busy information, flow information, capacity information and holiday information;
the scheduling strategies comprise regular tidal effect scheduling, major activity guarantee scheduling, holiday scheduling, burst high-load scheduling and potential high-load scheduling;
and acquiring a corresponding scheduling strategy according to the scheduling characteristic parameters of the dynamic short-term capacity expansion cell.
The invention also discloses a carrier scheduling device for LTE capacity equalization, which comprises:
the candidate cell determining unit is used for determining a high-load cell to be expanded and a low-load cell in the LTE cell according to the transmission data and the flow data of the LTE cell in a set time period;
a target cell determining unit, configured to obtain a dynamic short-term capacity expansion cell in the high-load cell to be expanded and a dynamic short-term idle cell in the low-load cell according to the fault information, the load balancing information, and the resource configuration information of the high-load cell to be expanded and the low-load cell determined by the candidate cell determining unit;
a target area determining unit, configured to determine, according to the performance data, planning data, and scene resource data of the dynamic short-term capacity expansion cell and the dynamic short-term idleness cell determined by the target cell determining unit, an area to be expanded of the dynamic short-term capacity expansion cell and an idleable area of the dynamic short-term idleness cell;
the scheduling strategy unit is used for presetting a scheduling strategy and acquiring the scheduling strategy of the dynamic short-term capacity expansion cell according to the scheduling characteristic parameter information of the dynamic short-term capacity expansion cell;
and the carrier scheduling unit is used for executing a scheduling task according to the scheduling strategy acquired by the scheduling strategy unit and matching the area to be expanded of the dynamic short-term expansion cell with the free area of the dynamic short-term free cell.
Specifically, the on-carrier scheduling unit further includes:
the scheduling task importing module is used for presetting a cell data planning template and importing the planning data of the dynamic short-term expansion cell and the dynamic short-term idle cell into a scheduling task according to the cell planning template;
the script command generating module is used for generating script commands according to the planning parameter data of the dynamic short-term capacity expansion cell and the dynamic short-term idle cell;
the scheduling task execution module is used for executing corresponding scheduling tasks according to the script command generated by the script command generation module and the scheduling strategy of the dynamic short-term capacity expansion cell;
and executing the scheduling task to automatically match the area to be expanded of the dynamic short-term expansion cell with the area to be idled of the dynamic short-term idled cell according to a principle of priority of the long idled area.
Specifically, the target cell determining unit further includes:
the dynamic short-term capacity expansion cell determining module is used for judging whether the high-load cell to be expanded has a fault according to the fault information of the high-load cell to be expanded; judging whether the high-load cell to be expanded is load balanced or not according to the load balancing information of the high-load cell to be expanded; judging whether the high-load cell to be expanded is in full resource allocation and limited hardware according to the resource configuration information of the high-load cell to be expanded; and determining the high-load cell to be expanded without faults, load balance, non-resource full allocation and non-hardware limitation as a dynamic short-term expansion cell.
And the dynamic short-term idle cell determining module is used for obtaining the dynamic short-term idle cell in the low-load cell according to the fault information, the load balancing information and the resource configuration information of the low-load cell.
Specifically, the target area determining module further includes:
the determination module of the idle-capable area is used for acquiring the performance data in the dynamic short-term idle-capable cell cycle determined by the determination module of the dynamic short-term idle-capable cell, determining the idle period of the dynamic short-term idle-capable cell according to the performance data in the dynamic short-term idle-capable cell cycle and the preset idle time rule, and acquiring the idle-capable area of the dynamic short-term idle-capable cell according to the idle period of the dynamic short-term idle-capable cell and the cell frequency point frequency band information in combination with the preset sector carrier frequency value, wherein the idle-capable area comprises the idle period and the idle frequency band.
And the to-be-expanded area determining module is used for acquiring the performance data in the dynamic short-term expanded cell period determined by the dynamic short-term expanded cell determining module, determining the short-term expanded duration of the dynamic short-term expanded cell according to the performance data in the dynamic short-term expanded cell period and the preset expansion rule, and combining the short-term expanded duration and the frequency point frequency band information of the cell with the preset expansion rule to obtain the to-be-expanded area of the dynamic short-term expanded cell, wherein the to-be-expanded area comprises the to-be-expanded duration and the to-be-expanded frequency band.
Preferably:
the preset idle time rule of the idle-capable area determining module is specifically as follows: presetting a cell flow value and the number of users in a period, and recording cell time intervals meeting the flow value and the number of users; acquiring an intersection time interval A of cell time intervals meeting a preset time length A in a cycle, wherein the intersection time interval A is an idle time interval, and recording the idle time interval and a cell corresponding to the idle time interval;
the preset capacity expansion rule of the to-be-expanded area determination module is specifically as follows: the method comprises the steps of presetting cell load numerical values and time length numerical values in a period, recording cells meeting the cell load numerical values and the time length numerical values, recording cell time periods meeting the preset upper PRB utilization rate and the preset lower PRB utilization rate and the user quantity in the cell period, obtaining intersection time periods B of the cell time periods meeting the preset time length B in the period, wherein the intersection time periods B are short-term expansion continuous time periods, and recording the short-term expansion continuous time periods and the corresponding cells.
Specifically, the scheduling policy unit further includes:
the characteristic parameter determining module is used for determining scheduling characteristic parameter information and scheduling strategies of different scenes according to the scenes; the scheduling characteristic parameter information at least comprises one of time interval idle busy information, flow information, capacity information and holiday information;
the scheduling strategies comprise regular tidal effect scheduling, major activity guarantee scheduling, holiday scheduling, burst high-load scheduling and potential high-load scheduling;
and the scheduling strategy determining module is used for acquiring a corresponding scheduling strategy according to the scheduling characteristic parameters of the dynamic short-term capacity expansion cell determined by the characteristic parameter determining module.
As can be seen from the foregoing technical solutions, the carrier scheduling method for LTE capacity balancing disclosed in the embodiments of the present invention is based on an identification algorithm of carrier intelligent scheduling (idle and busy) in a capacity problem: and carrying out intelligent carrier scheduling on the dynamic short-term idle cell and the dynamic short-term capacity expansion cell. The implementation of the adjustment scheme is completed by acquiring data such as traffic statistics, base station configuration, cell parameters and the like related to the wireless network. And the scheduling cells are divided into real-time resource scheduling, periodic resource scheduling and special scene resource scheduling, and the matching of the scheduling cells is automatically carried out. And automatically matching the capacity expansion frequency band and time interval of the cell to be expanded with the idle frequency band and time interval of the idle cell to be extracted, and preferentially matching the idle cell with the long available time interval. By realizing idle busy compensation, the current network resources are activated, and resource waste caused by blind capacity expansion is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a carrier scheduling method for LTE capacity balancing according to an embodiment of the present disclosure;
FIG. 2 is a flowchart of a method provided in a second embodiment of the present application;
FIG. 3 is a flowchart of a method provided in a third embodiment of the present application;
FIG. 4 is a flowchart of a method provided in the fourth embodiment of the present application;
fig. 5 is a schematic structural diagram of a carrier scheduling apparatus for LTE capacity balancing according to a fifth embodiment of the present application;
fig. 6 is a schematic structural diagram of an apparatus according to a sixth embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, 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 obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, a carrier scheduling method for LTE capacity balancing according to a first embodiment of the present invention is shown.
Step S01: and determining a high-load cell to be expanded and a low-load cell in the LTE cell according to the transmission data and the flow data of the LTE cell in a set time period.
And when the transmission data and the flow data of the LTE cell in a set time period meet a preset high load threshold value, determining that the LTE cell is a high load cell to be expanded.
And when the transmission data and the flow data of the LTE cell in a set time period meet a preset idle threshold value and the LTE cell is a non-urban low-flow cell, determining that the LTE cell is a low-load cell.
The transmission data can be uplink and downlink RRC number and uplink and downlink utilization rate data, the flow data can be uplink and downlink flow data, and the busy time and idle time of a cell can be determined according to the total busy and idle standard of the whole network in a set time period. A high load threshold and a free threshold can be set according to actual experience and current network conditions, and when the specific value of each index exceeds the threshold, the cell to be expanded with high load and the cell with low load are determined.
Step S02: and acquiring a dynamic short-term capacity expansion cell in the high-load cell to be expanded and a dynamic short-term idle cell in the low-load cell according to the fault information, the load balance information and the resource configuration information of the high-load cell to be expanded and the low-load cell.
Here, the high load of the cell caused by other factors in the high-load cell to be expanded is excluded, and the cell is not suitable for carrier scheduling. And similarly, low-load cells which are not suitable for short-term idling are excluded.
Step S03: and determining the area to be expanded of the dynamic short-term expansion cell and the free area of the dynamic short-term free cell according to the performance data, the planning data and the scene resource data of the dynamic short-term expansion cell and the dynamic short-term free cell.
And determining a region to be expanded and a free region of the cell according to the flow data of the cell, a service station of the cell, a cell frequency band, a frequency point, a covered sector carrier frequency number and the like in a specific time period.
Step S04: and presetting a scheduling strategy, and acquiring the scheduling strategy of the dynamic short-term expansion cell according to the scheduling characteristic parameter information of the dynamic short-term expansion cell.
The scheduling is classified into real-time resource scheduling, fixed-period resource scheduling, and specific-scene resource scheduling. And carrying out identification analysis and resource scheduling on the high-load cells in different scenes. Real-time resource scheduling: the identification and resource scheduling of the 15-minute granularity burst high-load cell are realized; fixed period resource scheduling: the method is used for dealing with the regular tidal effect and requires the realization of automatic scheduling of carriers of early and late peaks and weekends of important scenes such as colleges and universities, residential areas, business centers, urban roads, enterprises and public institutions, subways and the like; scheduling of resource in specific scene: and (3) resource scheduling for meeting specific guarantee requirements (such as festivals and holidays).
And making unified configuration and storage of a carrier expansion and reduction rule strategy, a license resource scheduling strategy, a college scene customization strategy and the like.
Step S05: and executing a scheduling task according to the scheduling strategy, and matching the area to be expanded of the dynamic short-term expansion cell with the free area of the dynamic short-term free cell.
According to the scheduling strategy, the available frequency band, the available time period, the scheduling period and the like of the scheduling cell are given, so that the scheduling cell can perform scheduling regularly.
And automatically matching the capacity expansion frequency band and time interval of the cell to be expanded with the cell information in the resource pool, and preferentially matching the idle cell with the available time interval. Preferably, the reserved resources can be established in the local network, so as to prevent the occurrence of the situation that the resource pool carrier is insufficient in an emergency.
It can be seen that the embodiment of the present invention provides a carrier scheduling method for LTE capacity balancing, which first determines an area where a network needs to be expanded and an area where the network can be idled, and performs scheduling matching on the areas according to a preset scheduling policy, thereby implementing maximum utilization of existing network resources.
To better illustrate the present invention, a second embodiment is given, as shown in fig. 2, which illustrates in detail how to determine a short-term expanded cell in the present invention.
Step S201: and judging whether the high-load cell to be expanded has a fault according to the fault information of the high-load cell to be expanded.
If there is a failure in a cell, the high load is likely due to the failure and the failed cell is eliminated.
Step S202: and judging whether the high-load cell to be expanded is load balanced or not according to the load balancing information of the high-load cell to be expanded.
If the cell load is unbalanced, the high load may be caused by the load imbalance, thus excluding the load unbalanced cell.
Step S203: and judging whether the high-load cell to be expanded is in full resource allocation and limited hardware or not according to the resource configuration information of the high-load cell to be expanded.
The resource full allocation cell and the hardware limited cell need to adopt a software capacity expansion scheme and a hardware capacity expansion scheme, and are not suitable for dynamic short-term capacity expansion, so that the cells are excluded.
Step S204: and determining the high-load cell to be expanded without faults, load balance, non-resource full allocation and non-hardware limitation as a dynamic short-term expansion cell.
Because some high-load cells are not high-load cells caused by capacity expansion, some high-load cells with interference need to be eliminated before carrier scheduling, and the high-load cells which do not meet the capacity expansion condition are eliminated one by one through the aspects of faults, load balance, resource full allocation and hardware limitation.
To describe in detail how to obtain the free region and the region to be expanded according to carrier scheduling, a third embodiment of the present invention is shown in fig. 3.
Steps S301 to S303 are methods for determining an expandable region, and steps S304 to S306 are methods for determining a region to be expanded. The method for determining the freeable area and the area to be expanded is not limited by the sequence. The method can determine the area which can be idled or the area to be expanded.
Step S301: and acquiring performance data in the dynamic short-term idle cell period.
Step S302: and determining the idle time period of the dynamic short-term idle cell according to the performance data in the period of the dynamic short-term idle cell and the preset idle time rule.
The preset idle time rule is specifically as follows: presetting a cell flow value and the number of users in a period, and recording cell time intervals meeting the flow value and the number of users; acquiring an intersection time interval A of cell time intervals meeting a preset time length A in a cycle, wherein the intersection time interval A is an idle time interval, and recording the idle time interval and a cell corresponding to the idle time interval.
Step S303: and combining preset sector carrier frequency values according to the idle time period and the cell frequency point frequency band information of the dynamic short-term idle cell to obtain an idle-capable area of the dynamic short-term idle cell.
The following describes how to determine the free area according to the cell performance data, the planning data, and the scene resource information provided by the mobile terminal.
1) And screening a list of cells meeting the conditions for more than 7 days according to the maximum number of users per hour in 19 hours (in 06: 00-24: 00) of 7-day performance hour-level granularity and the hourly flow rate of less than 0.5G, and recording the hours meeting the conditions.
2) And extracting the satisfied cell data and the corresponding hours of 7 days according to conditions, finding the cells in time periods with the time of 4 hours on each day according to the time, and recording the time periods of the cells and the maximum flow values of the cells in the time periods.
3) And (3) solving the time intersection of 7 days for the cells with 7-day results, wherein the intersection follows the following principle (both forward and backward):
if the meeting time period of the current time of the cell is within the first time period (for example, point 7-11 meets, and the first time period is point 6-12), comparing the two days, and taking the intersection as the current time period (intersection, namely point 7-11);
if the time period starting time of the current day of the cell is less than the time period starting time of the first day (if the point 6-11 is satisfied, the time period of the first day is 7-12), comparing the two days, and taking the intersection as the time period of the current day (the intersection is the point 7-11);
if the cell has a plurality of time periods per day satisfying the data of >4 hours, (e.g. 6-10 points, 12-16 points, 19-23 points), it must intersect with the data of the first day and keep a new time period.
This data comparison is continued for 7 days and finally results of intersection and intersection of cells meeting 7 days are obtained, and cells not meeting 7 days of intersection are deleted in the results.
4) And (3) performing data screening on each cell in the list according to the frequency band corresponding to the frequency point (F1/F2/D1/D2/D3), wherein the rule is as follows:
the station belongs to a multi-cell co-station, and the carrier frequency number of the same coverage sector is 2, which is a prerequisite.
When the common-station cell and the sectors F1 and F2 reach the idle threshold, F1 needs to be reserved, and only F2 is brought into the idle area;
d1, D2 and D3 of the co-sited cell reach the idle threshold, D1 and D2 need to be reserved, and only D3 is brought into the idle area;
when the capacity reduction of the co-sited cell co-sector F frequency band (F1, F2) and the D frequency band (D1, D2, D3) occurs, and simultaneously the idle threshold is reached, only the D3 is included in the idle area
The combination of co-sited cells with sectors F1, D1/D2/D3, which requires the reservation of F1, only include D1 or D2, or D3 in the idle region.
When the combination of the co-sited cell and the sector F2, D1/D2/D3 reaches the idle threshold, F2 must be reserved, and only D1, D2 or D3 is included in the idle area.
The combination of the co-sited cell and the sectors D1, D2, D1 and D3 reach the idle threshold, D1 is reserved, and D2 or D3 is contained in the idle area.
When the combination of the co-sited cell and the sectors D2 and D3 reaches the idle threshold, D2 is reserved, and D3 is contained in the idle area. The freeable area table is shown in table 1:
TABLE 1 freezable area schematic
Figure BDA0001929702180000121
The carrier frequency number of the sector with the same coverage is 2, two cells with the same coverage, namely F1/F2/D1/D2/D3, are removed, and an FDD cell with the frequency point of the cell with the same coverage being <36000, is removed.
The extractable region includes an extractable time period and an extractable frequency band.
Step S304: and acquiring performance data in the dynamic short-term capacity expansion cell period.
Step S305: and determining the short-term capacity expansion duration of the dynamic short-term capacity expansion cell according to the performance data in the dynamic short-term capacity expansion cell cycle and the preset capacity expansion rule.
Step S306: and combining the preset capacity expansion rule according to the short-term capacity expansion duration and the uplink and downlink PRB utilization rate, the number of users, the flow and the frequency band information of the cell to obtain a to-be-expanded area of the dynamic short-term capacity expansion cell, wherein the to-be-expanded area comprises the to-be-expanded duration and the to-be-expanded frequency band.
The preset capacity expansion rule is specifically as follows: the method comprises the steps of presetting cell load numerical values and time length numerical values in a period, recording cells meeting the cell load numerical values and the time length numerical values, recording cell time periods meeting the preset upper PRB utilization rate and the preset lower PRB utilization rate and the user quantity in the cell period, obtaining intersection time periods B of the cell time periods meeting the preset time length B in the period, wherein the intersection time periods B are short-term expansion continuous time periods, and recording the short-term expansion continuous time periods and the corresponding cells.
The following describes the performance data and frequency band, planning data, and scene resource information according to capacity.
1) And according to the performance hour granularity of more than 7 days, recording the continuous time periods of short-term super-busy hours in 19 hours (in 06: 00-24: 00) of each hour meeting the high-load algorithm, performing intersection taking in the time periods of 7 days to obtain the final continuous time period of short-term expansion (such as 17:00-22:00), wherein the minimum busy hour time period > is more than 4 hours, namely an early busy hour cell or a late busy hour cell (only one of the early busy hour and the late busy hour can be taken).
Capacity expansion standard of high load algorithm:
and determining a standard according to the cell classification of the large, medium and small packets, and implementing carrier frequency capacity expansion when the cell reaches a threshold in busy. The cell classification standard and the capacity expansion threshold are shown in table 2:
TABLE 2 cell classification criteria and capacity expansion threshold
Figure BDA0001929702180000131
Figure BDA0001929702180000141
The cell capacity expansion verification logic is as follows: the number of "valid RRC users" reaches the threshold and "uplink utilization reaches the threshold" and "uplink traffic reaches the threshold" ] or the number of "valid RRC users" reaches the threshold and "downlink utilization reaches the threshold (PDSCH or PDCCH)" and "downlink traffic reaches the threshold".
2) And (3) extracting the satisfied cell data and the corresponding hours from 7 days according to conditions, solving the cells with time periods to be expanded in early busy hour or late busy hour with the time of 4 hours each day according to the time, and recording the time periods of the cells, the PRB utilization rate corresponding to the time periods and the larger number of users.
The time intersection of more than 7 days follows the following principle (both forward and backward):
if the meeting time period of the current time of the cell is within the first time period (for example, point 7-11 meets, and the first time period is point 6-12), comparing the two days, and taking the intersection as the current time period (intersection, namely point 7-11);
if the time period starting time of the current day of the cell is less than the time period starting time of the first day (if the point 6-11 is satisfied, the time period of the first day is 7-12), comparing the two days, and taking the intersection as the time period of the current day (the intersection is the point 7-11);
if the cell has a plurality of time periods per day satisfying the data of >4 hours, (e.g. 6-10 points, 12-16 points, 19-23 points), it must intersect with the data of the first day and keep a new time period.
This data comparison is continued for 7 days and finally results of intersection and intersection of cells meeting 7 days are obtained, and cells not meeting 7 days of intersection are deleted in the results.
And if the high load time interval of more than 4 hours appears in both the morning and evening busy hours and the evening busy hours, dynamic scheduling is not calculated, and the dynamic scheduling is included in the static long-term capacity expansion list.
4) And (3) performing data screening on each cell in the list according to the frequency band corresponding to the frequency point (F1/F2/D1/D2/D3), wherein the rule is as follows:
when the co-station cell and the sectors F1 and F2 both reach the capacity expansion threshold, the capacity expansion can not be carried out any more (the capacity expansion of F3 is not supported temporarily at present) and the co-station cell and the sectors need to be brought into a new station;
when the same sectors D1, D2 and D3 of the co-sited cell reach the idle threshold, capacity expansion can not be carried out, and the co-sited cell needs to be brought into a newly built station;
if the F frequency band (F1) and the D frequency band (D1) of the same station reach the capacity expansion rule at the same time, the D frequency band (D2) is expanded preferentially and the F frequency band (F2) is considered secondarily; when the D-band (D1, D2) reaches the expansion rule at the same time, the D-band (D3) is preferentially expanded.
5) And sequencing the statistical data according to the duration of the continuous load high period, and sequencing according to the RRC number.
In order to describe the implementation process of scheduling execution of the present invention in more detail, the following embodiment is given with reference to an example, as shown in fig. 4.
Step S401: and presetting a cell data planning template, and importing the planning data of the dynamic short-term expansion cell and the dynamic short-term idle cell into the scheduling task according to the cell planning template.
And (2) carrying out cell data planning on the dynamic short-term expansion cell and the dynamic short-term idle cell, importing partial expansion cell data planning which needs to be filled by self according to planning templates of different manufacturers (Zhongxing and Huawei), inheriting cell parameters covered by the same frequency band of the same sector (automatic matching data configuration), planning the adjacent cell relation (inheriting the adjacent cell relation of the cell covered by the same sector), and planning hardware resources (inheriting the hardware planning parameters covered by the same frequency band of the same sector).
And importing the planning data into a scheduling task.
Step S402: and generating a script command according to the planning parameter data of the dynamic short-term expansion cell and the dynamic short-term idle cell.
And automatically generating an execution script command for the imported cell planning data and the automatically inherited parameter data and the neighbor cell data.
Step S403: and executing a corresponding scheduling task according to the scheduling strategy of the dynamic short-term capacity expansion cell according to the script command.
And determining scheduling characteristic parameter information and scheduling strategies of different scenes according to the scenes.
The scheduling characteristic parameter information at least comprises one of time interval idle busy information, flow information, capacity information and holiday information.
The scheduling strategies comprise regular tidal effect scheduling, major activity guarantee scheduling, holiday scheduling, burst high load scheduling and potential high load scheduling.
Regular tidal effect scheduling scheme: the system automatically identifies the rules of the service in different scenes, finds out the tidal effect cell meeting the requirements of capacity expansion and capacity reduction from the cells of the whole network according to the concept of the tidal effect cell, and determines the area and busy and idle time periods of the cell, such as: and the residential area, the industrial park, the office building, the enterprise and public institution, and the scenic spot and the enterprise and public institution on the weekend are regularly dismantled and busy. Such as: the dormitory area of the colleges and universities, the residential area, the industrial park, the office building, the enterprise and public institution of the workday, the scenic spot on the weekend, the enterprise and public institution are regularly dismantled and repaired.
The early-time, the noon-time and the late-time periods can be divided according to the service rule, each time period divides the cell into idle busy groups according to the service rule, intelligent matching license resource scheduling is carried out, and the idle group license resources are scheduled to the busy groups.
1) And the early idle group cell schedules resources to the early busy group cell.
2) And scheduling resources from the cell of the idle group to the cell of the busy group.
3) And the late idle group cell schedules resources to the late busy group cell.
And dynamic short-term capacity expansion and dynamic short-term idle scheduling setting of regular tidal effect scheduling are supported.
Major activity guarantee scheduling scheme: in the daily network maintenance work, carrier cell expansion is carried out on some hot spot areas and major activity guarantee areas, but the cell lists may not be in the automatic identification and judgment list of the system. Important activities, time, location, involved cell names (including emergency vehicles) need to be predicted in advance.
The method can provide related manually defined capacity expansion inlets, can input a capacity expansion list and scenes into a system, automatically acquire a manually input or selected list of cells to be expanded and a manually set resource capacity expansion time period, and complete the capacity expansion work of the carrier cells by the automatically scheduled flow in combination with the latest configuration data under the conditions of sufficient software and hardware resources and normal station state.
A holiday scene scheduling scheme: the users are migrated in a large scale during holidays, the guarantee work is heavy, the carrier scheduling system assists in completing capacity expansion in advance before holidays, and assists in completing resource release after holidays, so that the guarantee work content is simplified, and the guarantee quality is improved.
And the predictable and manual predicted output and festival cell capacity expansion guarantee scheme finishes resource scheduling before the festival by manually confirming the established temporary resource pool.
Burst high load scheduling scheme: the system realizes automatic identification of scene resource attributes and high load indexes of the carrier cells, performs 15-minute quasi-real-time service monitoring according to the characteristics of the wireless network service package, combines the standard of the high load cells, performs rapid capacity expansion on the cells meeting the conditions, improves the capacity, and solves the high load problem in the shortest time.
The cells to be expanded and reduced need to be classified into large, medium and small packets according to the group standard, and the determination standard (changeable) strategy is used for identification.
Potential high load scheduling scheme: massive performance data, historical expansion and reduction scheme information and other data are learned through a machine, expansion and reduction capacity evaluation algorithm schemes under different service modes are trained, and a capacity prediction model is built to predict potential high-load cells.
The system automatically executes capacity expansion meeting the soft expansion condition; and generating a task work order which cannot be subjected to soft expansion, butting and centralizing the order dispatch, and manually completing the expansion.
And acquiring a corresponding scheduling strategy according to the scheduling characteristic parameters of the dynamic short-term capacity expansion cell.
And executing the scheduling task to automatically match the area to be expanded of the dynamic short-term expansion cell with the area to be idled of the dynamic short-term idled cell according to a principle of priority of the long idled area.
The invention also discloses a carrier scheduling device with balanced LTE capacity, and a fifth embodiment of the invention is given first, as shown in FIG. 5, to explain the structural characteristics of the device.
The device includes:
the candidate cell determining unit 1 is configured to determine a high-load cell to be expanded and a low-load cell in the LTE cell according to transmission data and traffic data of the LTE cell in a set time period.
And the target cell determining unit 2 is configured to obtain a dynamic short-term capacity expansion cell in the high-load cell to be expanded and a dynamic short-term idle cell in the low-load cell according to the fault information, the load balancing information, and the resource configuration information of the high-load cell to be expanded and the low-load cell determined by the candidate cell determining unit.
And a target area determining unit 3, configured to determine, according to the performance data, the planning data, and the scene resource data of the dynamic short-term capacity expansion cell and the dynamic short-term idled cell determined by the target cell determining unit, an area to be expanded of the dynamic short-term capacity expansion cell and an idleable area of the dynamic short-term idled cell.
And the scheduling strategy unit 4 is used for presetting a scheduling strategy and acquiring the scheduling strategy of the dynamic short-term capacity expansion cell according to the scheduling characteristic parameter information of the dynamic short-term capacity expansion cell.
And the carrier scheduling unit 5 is configured to execute a scheduling task according to the scheduling policy acquired by the scheduling policy unit, and match the region to be expanded of the dynamic short-term expansion cell with the free region of the dynamic short-term free cell.
To better illustrate the structure of each part of the device of the present invention, a sixth embodiment is given, as shown in fig. 6.
The candidate cell determining unit 1 is configured to determine a high-load cell to be expanded and a low-load cell in the LTE cell according to transmission data and traffic data of the LTE cell in a set time period.
The target cell determining unit 2 further includes:
a dynamic short-term capacity expansion cell determining module 21, configured to determine whether a fault exists in the high-load cell to be expanded according to the fault information of the high-load cell to be expanded; judging whether the high-load cell to be expanded is load balanced or not according to the load balancing information of the high-load cell to be expanded; judging whether the high-load cell to be expanded is in full resource allocation and limited hardware according to the resource configuration information of the high-load cell to be expanded; and determining the high-load cell to be expanded without faults, load balance, non-resource full allocation and non-hardware limitation as a dynamic short-term expansion cell.
And the dynamic short-term idle cell determining module 22 is configured to obtain a dynamic short-term idle cell in the low-load cell according to the fault information, the load balancing information, and the resource configuration information of the low-load cell.
The target area determination unit 3 further includes:
a determination module 31 for determining an idle-capable area, configured to acquire performance data in a dynamic short-term idle-capable cell cycle determined by the determination module, determine an idle period of the dynamic short-term idle-capable cell according to the performance data in the dynamic short-term idle-capable cell cycle and a preset idle time rule, and acquire the idle-capable area of the dynamic short-term idle-capable cell according to the idle period of the dynamic short-term idle-capable cell and cell frequency band information in combination with a preset sector carrier frequency value, where the idle-capable area includes an idle-capable period and an idle-capable frequency band.
The preset idle time rule of the idle-capable area determining module is specifically as follows: presetting a cell flow value and the number of users in a period, and recording cell time intervals meeting the flow value and the number of users; acquiring an intersection time interval A of cell time intervals meeting a preset time length A in a cycle, wherein the intersection time interval A is an idle time interval, and recording the idle time interval and a cell corresponding to the idle time interval.
A to-be-expanded area determining module 32, configured to acquire performance data in a dynamic short-term expanded cell period determined by the dynamic short-term expanded cell determining module, determine a short-term expanded duration of the dynamic short-term expanded cell according to the performance data in the dynamic short-term expanded cell period and the preset expansion rule, and obtain the to-be-expanded area of the dynamic short-term expanded cell according to the short-term expanded duration and the combination of the uplink and downlink PRB utilization, the number of users, the flow rate, and the frequency band information of the cell with the preset expansion rule, where the to-be-expanded area includes the to-be-expanded duration and the to-be-expanded frequency band.
The preset capacity expansion rule of the to-be-expanded area determination module is specifically as follows: the method comprises the steps of presetting cell load numerical values and time length numerical values in a period, recording cells meeting the cell load numerical values and the time length numerical values, recording cell time intervals meeting the preset upper PRB utilization rate and the preset lower PRB utilization rate and the user quantity in the cell period, obtaining intersection time intervals B of the cell time intervals meeting the preset time length B in the period, recording the short-term expansion duration time intervals and the corresponding cells in the short-term expansion duration time intervals, wherein the intersection time intervals B are short-term expansion duration time intervals
The scheduling policy unit 4 further includes:
a characteristic parameter determining module 41, configured to determine scheduling characteristic parameter information and scheduling policies of different scenarios according to the scenarios; the scheduling characteristic parameter information at least comprises one of time interval idle busy information, flow information, capacity information and holiday information.
The scheduling strategies comprise regular tidal effect scheduling, major activity guarantee scheduling, holiday scheduling, burst high load scheduling and potential high load scheduling.
And a scheduling policy determining module 42, configured to obtain a corresponding scheduling policy according to the scheduling characteristic parameter of the dynamic short-term scalability cell determined by the characteristic parameter determining module.
The carrier scheduling unit 5 further includes:
and a scheduling task importing module 51, configured to preset a cell data planning template, and import the planning data of the dynamic short-term capacity-expanding cell and the dynamic short-term idle cell into a scheduling task according to the cell planning template.
And the script command generating module 52 is configured to generate a script command according to the planning parameter data of the dynamic short-term capacity expansion cell and the dynamic short-term idle cell.
And the scheduling task executing module 53 is configured to execute a corresponding scheduling task according to the scheduling policy of the dynamic short-term expansion cell according to the script command generated by the script command generating module.
And executing the scheduling task to automatically match the area to be expanded of the dynamic short-term expansion cell with the area to be idled of the dynamic short-term idled cell according to a principle of priority of the long idled area.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the foregoing method may be referred to for the corresponding process in the above-described apparatus embodiment, and is not repeated herein.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that the embodiments of the application described herein may be practiced in sequences other than those illustrated.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (13)

1. A carrier scheduling method for LTE capacity equalization, the method comprising:
determining a high-load cell to be expanded and a low-load cell in the LTE cell according to transmission data and flow data of the LTE cell in a set time period;
acquiring a dynamic short-term capacity expansion cell in the high-load cell to be expanded and a dynamic short-term idle cell in the low-load cell according to the fault information, the load balance information and the resource configuration information of the high-load cell to be expanded and the low-load cell;
determining an area to be expanded of the dynamic short-term expansion cell and an idleable area of the dynamic short-term idle cell according to performance data, planning data and scene resource data of the dynamic short-term expansion cell and the dynamic short-term idle cell;
presetting a scheduling strategy, and acquiring the scheduling strategy of the dynamic short-term expansion cell according to the scheduling characteristic parameter information of the dynamic short-term expansion cell;
and executing a scheduling task according to the scheduling strategy, and matching the area to be expanded of the dynamic short-term expansion cell with the free area of the dynamic short-term free cell.
2. The method of claim 1, further comprising:
presetting a cell data planning template, and importing planning data of the dynamic short-term expansion cell and the dynamic short-term idle cell into the scheduling task according to the cell planning template;
generating a script command according to the planning parameter data of the dynamic short-term capacity expansion cell and the dynamic short-term idle cell;
executing a corresponding scheduling task according to the scheduling strategy of the dynamic short-term capacity expansion cell according to the script command;
and executing the scheduling task to automatically match the area to be expanded of the dynamic short-term expansion cell with the area to be idled of the dynamic short-term idled cell according to a principle of priority of the long idled area.
3. The method according to any one of claims 1 to 2, wherein the method for determining the high-load cell to be expanded and the low-load cell in the LTE cell according to the transmission data and the traffic data of the LTE cell in the set time period specifically comprises:
when transmission data and flow data of the LTE cell in a set time period meet a preset high load threshold value, determining the LTE cell as a high load cell to be expanded;
and when the transmission data and the flow data of the LTE cell in a set time period meet a preset idle threshold value and the LTE cell is a non-urban low-flow cell, determining that the LTE cell is a low-load cell.
4. The method according to claim 3, wherein the method for obtaining the dynamic short-term capacity expansion cell in the high-load cell to be expanded according to the fault information, the load balancing information, and the resource configuration information of the high-load cell to be expanded specifically comprises:
judging whether the high-load cell to be expanded has a fault according to the fault information of the high-load cell to be expanded;
judging whether the high-load cell to be expanded is load balanced or not according to the load balancing information of the high-load cell to be expanded;
judging whether the high-load cell to be expanded is in full resource allocation and limited hardware according to the resource configuration information of the high-load cell to be expanded;
and determining the high-load cell to be expanded without faults, load balance, non-resource full allocation and non-hardware limitation as a dynamic short-term expansion cell.
5. The method according to claim 4, wherein the method for determining the area to be expanded of the dynamic short-term expansion cell and the idleable area of the dynamic short-term idle-drawing cell according to the performance data, the planning data, and the scene resource data of the dynamic short-term expansion cell and the dynamic short-term idle-drawing cell specifically comprises:
acquiring performance data in the dynamic short-term idle cell cycle, determining the idle time period of the dynamic short-term idle cell according to the performance data in the dynamic short-term idle cell cycle and the preset idle time rule, and acquiring an idle-capable area of the dynamic short-term idle cell according to the idle time period of the dynamic short-term idle cell and cell frequency point frequency band information in combination with a preset sector carrier frequency value, wherein the idle-capable area comprises an idle-capable time period and an idle-capable frequency band;
acquiring performance data in the dynamic short-term capacity expansion cell cycle, determining a short-term capacity expansion duration of the dynamic short-term capacity expansion cell according to the performance data in the dynamic short-term capacity expansion cell cycle and the preset capacity expansion rule, and combining the preset capacity expansion rule according to the short-term capacity expansion duration and frequency point frequency band information of uplink and downlink PRBs (physical resource blocks) utilization rate, the number of users, flow and the cell to obtain a to-be-expanded area of the dynamic short-term capacity expansion cell, wherein the to-be-expanded area comprises the to-be-expanded time and the to-be-expanded frequency band.
6. The method of claim 5, wherein:
the preset idle time rule is specifically as follows: presetting a cell flow value and the number of users in a period, and recording cell time intervals meeting the flow value and the number of users; acquiring an intersection time interval A of cell time intervals meeting a preset time length A in a cycle, wherein the intersection time interval A is an idle time interval, and recording the idle time interval and a cell corresponding to the idle time interval;
the preset capacity expansion rule is specifically as follows: the method comprises the steps of presetting cell load numerical values and time length numerical values in a period, recording cells meeting the cell load numerical values and the time length numerical values, recording cell time periods meeting the preset upper PRB utilization rate and the preset lower PRB utilization rate and the user quantity in the cell period, obtaining intersection time periods B of the cell time periods meeting the preset time length B in the period, wherein the intersection time periods B are short-term expansion continuous time periods, and recording the short-term expansion continuous time periods and the corresponding cells.
7. The method according to claim 6, wherein the method for obtaining the scheduling policy of the dynamic short-term scalability cell according to the scheduling characteristic parameter information of the dynamic short-term scalability cell in the preset scheduling policy is specifically:
determining scheduling characteristic parameter information and scheduling strategies of different scenes according to the scenes;
the scheduling characteristic parameter information at least comprises one of time interval idle busy information, flow information, capacity information and holiday information;
the scheduling strategies comprise regular tidal effect scheduling, major activity guarantee scheduling, holiday scheduling, burst high-load scheduling and potential high-load scheduling;
and acquiring a corresponding scheduling strategy according to the scheduling characteristic parameters of the dynamic short-term capacity expansion cell.
8. An apparatus for scheduling carriers for LTE capacity equalization, the apparatus comprising:
the candidate cell determining unit is used for determining a high-load cell to be expanded and a low-load cell in the LTE cell according to the transmission data and the flow data of the LTE cell in a set time period;
a target cell determining unit, configured to obtain a dynamic short-term capacity expansion cell in the high-load cell to be expanded and a dynamic short-term idle cell in the low-load cell according to the fault information, the load balancing information, and the resource configuration information of the high-load cell to be expanded and the low-load cell determined by the candidate cell determining unit;
a target area determining unit, configured to determine, according to the performance data, planning data, and scene resource data of the dynamic short-term capacity expansion cell and the dynamic short-term idleness cell determined by the target cell determining unit, an area to be expanded of the dynamic short-term capacity expansion cell and an idleable area of the dynamic short-term idleness cell;
the scheduling strategy unit is used for presetting a scheduling strategy and acquiring the scheduling strategy of the dynamic short-term capacity expansion cell according to the scheduling characteristic parameter information of the dynamic short-term capacity expansion cell;
and the carrier scheduling unit is used for executing a scheduling task according to the scheduling strategy acquired by the scheduling strategy unit and matching the area to be expanded of the dynamic short-term expansion cell with the free area of the dynamic short-term free cell.
9. The apparatus of claim 8, wherein the on-carrier scheduling unit further comprises:
the scheduling task importing module is used for presetting a cell data planning template and importing the planning data of the dynamic short-term expansion cell and the dynamic short-term idle cell into a scheduling task according to the cell planning template;
the script command generating module is used for generating script commands according to the planning parameter data of the dynamic short-term capacity expansion cell and the dynamic short-term idle cell;
the scheduling task execution module is used for executing corresponding scheduling tasks according to the script command generated by the script command generation module and the scheduling strategy of the dynamic short-term capacity expansion cell;
and executing the scheduling task to automatically match the area to be expanded of the dynamic short-term expansion cell with the area to be idled of the dynamic short-term idled cell according to a principle of priority of the long idled area.
10. The apparatus as claimed in any of claims 8-9, wherein the target cell determining unit further comprises:
the dynamic short-term capacity expansion cell determining module is used for judging whether the high-load cell to be expanded has a fault according to the fault information of the high-load cell to be expanded; judging whether the high-load cell to be expanded is load balanced or not according to the load balancing information of the high-load cell to be expanded; judging whether the high-load cell to be expanded is in full resource allocation and limited hardware according to the resource configuration information of the high-load cell to be expanded; and determining the high-load cell to be expanded without faults, load balance, non-resource full allocation and non-hardware limitation as a dynamic short-term expansion cell.
And the dynamic short-term idle cell determining module is used for obtaining the dynamic short-term idle cell in the low-load cell according to the fault information, the load balancing information and the resource configuration information of the low-load cell.
11. The apparatus of claim 10, wherein the target area determination module further comprises:
the determination module of the idle-capable area is used for acquiring the performance data in the dynamic short-term idle-capable cell cycle determined by the determination module of the dynamic short-term idle-capable cell, determining the idle period of the dynamic short-term idle-capable cell according to the performance data in the dynamic short-term idle-capable cell cycle and the preset idle time rule, and acquiring the idle-capable area of the dynamic short-term idle-capable cell according to the idle period of the dynamic short-term idle-capable cell and the cell frequency point frequency band information in combination with the preset sector carrier frequency value, wherein the idle-capable area comprises the idle period and the idle frequency band.
And the to-be-expanded area determining module is used for acquiring the performance data in the dynamic short-term expanded cell period determined by the dynamic short-term expanded cell determining module, determining the short-term expanded duration of the dynamic short-term expanded cell according to the performance data in the dynamic short-term expanded cell period and the preset expansion rule, and combining the short-term expanded duration and the frequency point frequency band information of the cell with the preset expansion rule to obtain the to-be-expanded area of the dynamic short-term expanded cell, wherein the to-be-expanded area comprises the to-be-expanded duration and the to-be-expanded frequency band.
12. The apparatus of claim 11, wherein:
the preset idle time rule of the idle-capable area determining module is specifically as follows: presetting a cell flow value and the number of users in a period, and recording cell time intervals meeting the flow value and the number of users; acquiring an intersection time interval A of cell time intervals meeting a preset time length A in a cycle, wherein the intersection time interval A is an idle time interval, and recording the idle time interval and a cell corresponding to the idle time interval;
the preset capacity expansion rule of the to-be-expanded area determination module is specifically as follows: the method comprises the steps of presetting cell load numerical values and time length numerical values in a period, recording cells meeting the cell load numerical values and the time length numerical values, recording cell time periods meeting the preset upper PRB utilization rate and the preset lower PRB utilization rate and the user quantity in the cell period, obtaining intersection time periods B of the cell time periods meeting the preset time length B in the period, wherein the intersection time periods B are short-term expansion continuous time periods, and recording the short-term expansion continuous time periods and the corresponding cells.
13. The method of claim 12, wherein the scheduling policy unit further comprises:
the characteristic parameter determining module is used for determining scheduling characteristic parameter information and scheduling strategies of different scenes according to the scenes; the scheduling characteristic parameter information at least comprises one of time interval idle busy information, flow information, capacity information and holiday information;
the scheduling strategies comprise regular tidal effect scheduling, major activity guarantee scheduling, holiday scheduling, burst high-load scheduling and potential high-load scheduling;
and the scheduling strategy determining module is used for acquiring a corresponding scheduling strategy according to the scheduling characteristic parameters of the dynamic short-term capacity expansion cell determined by the characteristic parameter determining module.
CN201811634455.3A 2018-12-29 2018-12-29 Carrier scheduling method and device for LTE capacity equalization Active CN111385800B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811634455.3A CN111385800B (en) 2018-12-29 2018-12-29 Carrier scheduling method and device for LTE capacity equalization

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811634455.3A CN111385800B (en) 2018-12-29 2018-12-29 Carrier scheduling method and device for LTE capacity equalization

Publications (2)

Publication Number Publication Date
CN111385800A true CN111385800A (en) 2020-07-07
CN111385800B CN111385800B (en) 2024-07-19

Family

ID=71222983

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811634455.3A Active CN111385800B (en) 2018-12-29 2018-12-29 Carrier scheduling method and device for LTE capacity equalization

Country Status (1)

Country Link
CN (1) CN111385800B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112328289A (en) * 2020-11-26 2021-02-05 新华三信息技术有限公司 Firmware upgrading method, device, equipment and storage medium
CN112584391A (en) * 2020-12-04 2021-03-30 中国联合网络通信集团有限公司 Cell two-carrier expansion method and device
CN112601245A (en) * 2020-12-03 2021-04-02 中国移动通信集团内蒙古有限公司 Method and device for evaluating utilization condition of capacity resources in long-term evolution area
CN113923789A (en) * 2020-07-10 2022-01-11 中国移动通信集团浙江有限公司 LTE carrier scheduling device and method
CN114189904A (en) * 2021-12-20 2022-03-15 浪潮通信信息系统有限公司 LTE carrier frequency resource scheduling method and device
CN114302439A (en) * 2020-09-22 2022-04-08 中国移动通信集团设计院有限公司 LTE network-based capacity balance analysis method and device
WO2022127617A1 (en) * 2020-12-16 2022-06-23 中兴通讯股份有限公司 Load balancing method and apparatus thereof, base station, and computer readable storage medium
CN115250486A (en) * 2021-04-28 2022-10-28 中国移动通信集团四川有限公司 Network capacity expansion method and device and electronic equipment

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103167513A (en) * 2013-02-01 2013-06-19 上海大唐移动通信设备有限公司 Method and device for expanding capacity of carrier
WO2014198026A1 (en) * 2013-06-13 2014-12-18 华为技术有限公司 Method and apparatus for sending cell handover command
CN105611546A (en) * 2015-12-21 2016-05-25 中国联合网络通信集团有限公司 Network expansion method and network expansion evaluation device
CN105992228A (en) * 2015-01-29 2016-10-05 中国移动通信集团浙江有限公司 Wireless network capacity expansion method and device and electronic device
US20170017918A1 (en) * 2015-07-14 2017-01-19 Tata Consultancy Services Limited Method and system for enabling dynamic capacity planning
CN106535222A (en) * 2015-09-15 2017-03-22 中国移动通信集团广东有限公司 Method and apparatus for automatically generating regulation schemes for base station baseband processing board
WO2018068661A1 (en) * 2016-10-11 2018-04-19 阿里巴巴集团控股有限公司 Paxos protocol-based methods and apparatuses for online capacity expansion and reduction of distributed consistency system
CN108271197A (en) * 2016-12-30 2018-07-10 上海大唐移动通信设备有限公司 A kind of LTE capacity analysis methods and device
CN108271180A (en) * 2016-12-30 2018-07-10 北京亿阳信通科技有限公司 A kind of parameter check method and device
WO2018126810A1 (en) * 2017-01-03 2018-07-12 中兴通讯股份有限公司 Spectrum resource sharing method and device
CN108770017A (en) * 2018-05-23 2018-11-06 南京欣网通信科技股份有限公司 A kind of radio resource method for dynamically balancing and system, computer program

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103167513A (en) * 2013-02-01 2013-06-19 上海大唐移动通信设备有限公司 Method and device for expanding capacity of carrier
WO2014198026A1 (en) * 2013-06-13 2014-12-18 华为技术有限公司 Method and apparatus for sending cell handover command
CN105992228A (en) * 2015-01-29 2016-10-05 中国移动通信集团浙江有限公司 Wireless network capacity expansion method and device and electronic device
US20170017918A1 (en) * 2015-07-14 2017-01-19 Tata Consultancy Services Limited Method and system for enabling dynamic capacity planning
CN106535222A (en) * 2015-09-15 2017-03-22 中国移动通信集团广东有限公司 Method and apparatus for automatically generating regulation schemes for base station baseband processing board
CN105611546A (en) * 2015-12-21 2016-05-25 中国联合网络通信集团有限公司 Network expansion method and network expansion evaluation device
WO2018068661A1 (en) * 2016-10-11 2018-04-19 阿里巴巴集团控股有限公司 Paxos protocol-based methods and apparatuses for online capacity expansion and reduction of distributed consistency system
CN108271197A (en) * 2016-12-30 2018-07-10 上海大唐移动通信设备有限公司 A kind of LTE capacity analysis methods and device
CN108271180A (en) * 2016-12-30 2018-07-10 北京亿阳信通科技有限公司 A kind of parameter check method and device
WO2018126810A1 (en) * 2017-01-03 2018-07-12 中兴通讯股份有限公司 Spectrum resource sharing method and device
CN108770017A (en) * 2018-05-23 2018-11-06 南京欣网通信科技股份有限公司 A kind of radio resource method for dynamically balancing and system, computer program

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
KUMAR GOURAB MALLIK ET.AL: ""Energy Efficient Hot Spot Load Balancing in Mobile Cellular Network"", 《2012 THIRD INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGY》, 25 December 2012 (2012-12-25) *
WANG, R; ET.AL: ""Dynamic Smooth Handover Method based on Transition Zones"", 《6TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND COMPUTER SCIENCE (ICAMCS)》, 5 June 2018 (2018-06-05) *
中国移动: "《拆闲补忙专项手册》", 《拆闲补忙专项手册》, 8 October 2010 (2010-10-08) *
李银等: ""基于负载均衡和自动软扩容的LTE资源调度方法"", 《电信技术》 *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113923789B (en) * 2020-07-10 2023-08-18 中国移动通信集团浙江有限公司 LTE carrier scheduling device and method
CN113923789A (en) * 2020-07-10 2022-01-11 中国移动通信集团浙江有限公司 LTE carrier scheduling device and method
CN114302439B (en) * 2020-09-22 2023-08-01 中国移动通信集团设计院有限公司 Capacity equalization analysis method and device based on LTE network
CN114302439A (en) * 2020-09-22 2022-04-08 中国移动通信集团设计院有限公司 LTE network-based capacity balance analysis method and device
CN112328289A (en) * 2020-11-26 2021-02-05 新华三信息技术有限公司 Firmware upgrading method, device, equipment and storage medium
CN112328289B (en) * 2020-11-26 2023-08-25 新华三信息技术有限公司 Firmware upgrading method, device, equipment and storage medium
CN112601245B (en) * 2020-12-03 2023-04-07 中国移动通信集团内蒙古有限公司 Method and device for evaluating utilization condition of capacity resources in long-term evolution area
CN112601245A (en) * 2020-12-03 2021-04-02 中国移动通信集团内蒙古有限公司 Method and device for evaluating utilization condition of capacity resources in long-term evolution area
CN112584391B (en) * 2020-12-04 2023-01-24 中国联合网络通信集团有限公司 Cell two-carrier expansion method and device
CN112584391A (en) * 2020-12-04 2021-03-30 中国联合网络通信集团有限公司 Cell two-carrier expansion method and device
WO2022127617A1 (en) * 2020-12-16 2022-06-23 中兴通讯股份有限公司 Load balancing method and apparatus thereof, base station, and computer readable storage medium
CN115250486A (en) * 2021-04-28 2022-10-28 中国移动通信集团四川有限公司 Network capacity expansion method and device and electronic equipment
CN115250486B (en) * 2021-04-28 2024-06-11 中国移动通信集团四川有限公司 Network capacity expansion method and device and electronic equipment
CN114189904A (en) * 2021-12-20 2022-03-15 浪潮通信信息系统有限公司 LTE carrier frequency resource scheduling method and device

Also Published As

Publication number Publication date
CN111385800B (en) 2024-07-19

Similar Documents

Publication Publication Date Title
CN111385800A (en) Carrier scheduling method and device for LTE capacity balance
CN113543284A (en) Energy saving method, base station, control unit and storage medium
CN110505650B (en) Intelligent evaluation method and device for capacity of random heterogeneous hierarchical network
US8433329B2 (en) System and method for prioritizing user communications
CN108337110B (en) Virtual resource management method and device and computer readable storage medium
CN104252337A (en) Task execution in grid computing system, edge device, andgrid server
CN108770017B (en) Dynamic equalization method and system for wireless resources
CN111885618B (en) Network performance optimization method and device
US20100298022A1 (en) Configuration of radio coverage
US20130148596A1 (en) Resource management system and method of centralized base station in mobile communication network
WO2018233679A1 (en) Load-balancing method and apparatus
CN110677854A (en) Method, apparatus, device and medium for carrier frequency capacity adjustment
CN112235804A (en) Base station remote unit dynamic grouping method and device, and cell networking method and system
EP3952420B1 (en) Fingerprint library creation and application methods and apparatuses, centralized processing device and base station
CN108966237B (en) Method and device for determining frequency fading evaluation standard and frequency fading evaluation method and device
CN117591285A (en) Computing power resource scheduling and distributing system and method
CN115515208A (en) Base station energy saving method, base station energy saving system, base station and storage medium
CN104113857A (en) Wireless capacity optimization method and device
CN106162671B (en) A kind of base station deployment location determining method and device
CN113766523B (en) Method and device for predicting network resource utilization rate of serving cell and electronic equipment
CN113258679B (en) Power grid monitoring system channel distribution method based on server instance capacity reduction
US20060146707A1 (en) Device for processing traffic data to optimize control of quality of service in a communications network
CN114035940A (en) Resource allocation method and device
CN111385821B (en) LTE carrier demand quantity prediction method and device
US9622094B2 (en) Self-optimizing communication network with criteria class-based functions

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
GR01 Patent grant
GR01 Patent grant