CN105636056B - Energy-saving method, device and system for optimizing spectrum resources - Google Patents
Energy-saving method, device and system for optimizing spectrum resources Download PDFInfo
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- CN105636056B CN105636056B CN201410648513.3A CN201410648513A CN105636056B CN 105636056 B CN105636056 B CN 105636056B CN 201410648513 A CN201410648513 A CN 201410648513A CN 105636056 B CN105636056 B CN 105636056B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
- H04W16/10—Dynamic resource partitioning
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses an energy-saving method, a device and a system for optimizing spectrum resources, wherein the method comprises the following steps: establishing a resource state model of each cell based on the historical KPI data of each cell, and predicting resource use trend and resource idle time period of each cell according to the resource state model of each cell; determining the bandwidth applicable to the cell according to the corresponding resource use trend aiming at the cell meeting the resource optimization condition, and reallocating the frequency band for the cell according to the width of the bandwidth; the resource optimization conditions include: during the predicted resource idle period. By adopting the method of the invention, the idle time period and the resource use situation trend of the cell can be judged, and the resource optimization is carried out by utilizing the idle time period and the resource use situation trend, thereby improving the utilization rate of frequency spectrum resources and achieving the effects of reducing interference and saving energy.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an energy saving method, an energy saving device, and an energy saving system for spectrum resource self-optimization.
Background
Gartner advisory reports show that the ICT (information Communication technology) industry has a direct impact on global greenhouse gas emissions of 2-2.5%, wherein the impact of the Communication industry is about 1/4 and annual power consumption has exceeded 200 hundred million kilowatt-hours; according to measurement and calculation, the energy consumption of the base station equipment accounts for 90% of the energy consumption of the whole mobile communication network equipment, and accounts for 60% -70% of the total power consumption of the whole operation and maintenance of a communication operator, the energy conservation of the base station becomes the key for the energy conservation of the whole mobile communication network, and how to reduce the energy consumption of the base station also becomes the topic of environmental protection and cost concerned by the communication operator.
The scheme proposed by the industry for base station energy saving at present comprises the following steps: cell shutdown, symbol shutdown, and other schemes all have their own deficiencies. From the KPI (Key Performance Indicator) data of the indian airtel commercial network, the resource usage (number of users, RB utilization, throughput) of each cell is periodic while maintaining the difference from other cells. A coverage blind area is easily caused by switching off a cell, and the sudden user experience is influenced; symbol turn-off has an effect but power saving is not complete. The 3GPP protocol defines six bandwidths of the LTE system, i.e., 1.4MHz, 3MHz, 5MHz, 10MHz, 15MHz, and 20MHz, different bandwidths, and the same Reference Signal (RS) power, which has the same coverage effect but with a significant difference in power consumption, and can make up for the deficiency of symbol turn-off by adjusting the bandwidth. The CN200810218058 patent describes that the system bandwidth is dynamically adjusted based on the number of users and the utilization condition of MAC resources in the base station, but the adjustment time of this method belongs to the second level, the granularity is too small, and the burstiness and the tide nature of the base station data service may cause the phenomenon of repeated bandwidth adjustment, which finally results in poor user experience effect.
Disclosure of Invention
The invention provides an energy-saving method, device and system for optimizing spectrum resources, which are used for solving the problems of inaccurate judgment of a cell idle state and waste of cell power resources in the prior art.
According to an aspect of the present invention, there is provided a method for saving energy by optimizing spectrum resources, comprising:
establishing a resource state model of each cell based on the KPI data of the historical key performance indexes of each cell, and predicting the resource use trend and the resource idle time period of each cell according to the resource state model of each cell;
determining the bandwidth applicable to the cell according to the corresponding resource use trend aiming at the cell meeting the resource optimization condition, and reallocating the frequency band for the cell according to the width of the bandwidth; the resource optimization conditions include: during the predicted resource idle period.
In accordance with another aspect of the present invention, there is provided a network management server comprising:
the modeling module is used for establishing a resource state model of each cell based on the historical KPI data of each cell;
the prediction module is used for predicting the resource use trend and the resource idle time period of each cell according to the resource state model of each cell;
and the output module is used for outputting the predicted resource use trend and resource idle time period information of each cell to the corresponding base station so that the base station performs resource optimization according to the resource use trend and the resource idle time period of the cell.
According to a third aspect of the present invention, there is provided a base station comprising:
the information receiving module is used for acquiring the resource use trend and the resource idle time period information of each cell, which are predicted by the network management server according to the resource state model of each cell;
the resource optimization module is used for determining the bandwidth applicable to the cell according to the corresponding resource use trend aiming at the cell meeting the resource optimization condition, and reallocating the frequency band for the cell according to the width of the bandwidth; the resource optimization conditions include: during the predicted resource idle period.
According to a fourth aspect of the present invention, an energy saving system with spectrum resources optimized is provided, which includes the network management server and the base station provided by the present invention.
The invention has the following beneficial effects:
compared with the prior art, the method can judge the idle time period and the resource use situation trend of the cell, optimize resources by utilizing the idle time period and the resource use situation trend, improve the utilization rate of frequency spectrum resources and achieve the effects of reducing interference and saving energy.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in 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 only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an energy saving method for optimizing spectrum resources according to an embodiment of the present invention;
FIG. 2 is a diagram of a system architecture in which the method of the present invention is applied;
FIG. 3 is a table of performance statistics for throughput usage within one or two days of a cell as set forth in an embodiment of the present invention;
FIG. 4 is a table showing performance statistics of throughput usage within two days of a cell in accordance with an embodiment of the present invention;
fig. 5 is a flowchart of an energy saving method for optimizing spectrum resources according to a second embodiment of the present invention;
FIG. 6 is a flowchart illustrating timing for executing steps in the flowchart of the method illustrated in FIG. 5;
FIG. 7 is a diagram illustrating a base station networking in accordance with an embodiment of the present invention;
FIG. 8 is a bandwidth division diagram according to an embodiment of the present invention;
FIG. 9 is a frequency band allocation diagram according to an embodiment of the present invention;
FIG. 10 is a diagram of frequency allocation in accordance with another embodiment of the present invention;
fig. 11 is a block diagram of a network management server according to an embodiment of the present invention;
fig. 12 is a block diagram of a base station according to an embodiment of the present invention.
Detailed Description
In order to solve the problems of inaccurate cell idle state judgment and cell power resource waste in the prior art, the invention provides an energy-saving method, device and system for optimizing spectrum resources. 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 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.
Example one
The 3GPP protocol defines six bandwidths of an LTE (Long Term Evolution system) system, namely 1.4MHz, 3MHz, 5MHz, 10MHz, 15MHz, and 20MHz, and different bandwidths, and the same Reference Signal (RS) power has the same coverage effect, but the power consumption has obvious differences.
According to the embodiment of the invention, through collecting and analyzing the historical KPI data of the base station, a resource state model is established for each cell, and the future resource use trend and the resource idle time period of the cell are predicted according to the model, so that the self-optimization of the system bandwidth and the frequency band is realized, and the purpose of saving energy is achieved.
Specifically, the present invention provides an energy saving method for optimizing spectrum resources, as shown in fig. 1, including the following steps:
step S101, establishing a resource state model of each cell based on historical KPI data of each cell;
the specific implementation manner of the step is as follows: (1) collecting KPI data of each cell by taking a set time period as a time unit; (2) calculating KPI data of D days of each cell, analyzing the resource use condition of each time period of each cell, and obtaining a resource state model of each cell; wherein D is a preset value.
Step S102, predicting resource use trend and resource idle time period of each cell according to the resource state model of each cell;
step S103, aiming at the cells meeting the resource optimization conditions, determining the bandwidth applicable to the cells according to the corresponding resource use trend, and reallocating the frequency band for the cells according to the width of the bandwidth; the resource optimization conditions include: during the predicted resource idle period.
Based on the above principle, several specific and preferred embodiments are given below to more clearly illustrate the specific implementation process of the method for resource optimization. The following embodiments may be used alone in combination with the steps S101 to 103, or may be used in combination with the steps S101 to 103 in a plurality of embodiments.
In this embodiment, the establishment of the resource state model and the prediction of the resource usage trend and the resource idle period of each cell may be performed by the base station, but is preferably performed by the network management server so as not to affect the efficiency of the base station.
Further, in the method according to this embodiment, the bandwidth applicable to the cell is determined only by the resource usage trend given in step S103. However, this method does not consider the actual resource usage of the cell, and there may be a case where the bandwidth determined by the resource usage trend is smaller than the current actually required bandwidth, thereby causing the system to overload and exit the energy saving mode. In order to avoid the situation, the invention provides a preferable implementation mode, which not only considers the resource use trend, but also considers the actual resource use situation of the cell, and better optimizes the scheme of the invention. The method comprises the following specific steps:
determining the bandwidth B1 applicable to the cell according to the corresponding resource use trend;
determining the lowest bandwidth B2 which can be used by the cell according to the current resource use condition of the cell;
when B2 is larger than B1, a bandwidth is finally determined by taking B2 as a criterion or B1 as the finally determined bandwidth.
To make the above manner of determining the bandwidth clearer, the following is exemplified:
example 1:
example 2:
the energy saving mode may use a bandwidth such as: 1.4M, 3M, 5M, 10M and 15M, wherein the number of users accommodated in each bandwidth and the provided wireless resources are different; when selecting the bandwidth, it needs to determine which bandwidth to use by combining with the current resource usage, otherwise, it is easy to cause system overload and exit the energy saving mode.
Further, in the method of this embodiment, in consideration of timeliness of resource optimization, when performing resource optimization, a time granularity of a cell resource state model is used as a period, a bandwidth applicable to the period of a cell is determined according to a corresponding resource usage trend at a time when each period arrives, whether the bandwidth is the same as a currently applied bandwidth is determined, and when the bandwidth is different from the currently determined bandwidth, a frequency band is reallocated to the cell by using the width of the currently determined bandwidth. That is, in an idle period, the bandwidth is determined for multiple times, and the frequency band is reallocated, so that the resource parameters obtained through optimization can better meet the actual requirements.
Further, in the method of this embodiment, the resource optimization condition further includes, but is not limited to: and reaching a set resource optimization adjustment period, and/or ensuring that the current resource utilization rate is lower than a set first threshold value.
Further, in the method according to this embodiment, the method further includes: when a certain cell meets the condition of exiting resource optimization, restoring the resource parameters of the cell to the original values; the condition for satisfying the exit resource optimization includes but is not limited to: and ending the resource idle time period, or enabling the current resource utilization rate to be higher than a set second threshold value.
Further, in the method of this embodiment:
before the frequency band is reallocated for the cell, the terminal of the cell is switched to the adjacent cell, after the frequency band is reallocated for the cell, the resource parameter change information is notified to the adjacent cell, and the terminal meeting the switching condition is switched back to the original cell;
before recovering the resource parameters of the cell, the terminal of the cell is switched to the adjacent cell, after recovering the resource parameters of the cell, the resource parameter recovery information is notified to the adjacent cell, and the terminal meeting the switching conditions is switched back to the original cell.
The handover condition, simply (ignoring parameters such as hysteresis threshold, etc. here), refers to: reference Signal Received Power (RSRP) of a target cell is greater than RSRP + n of a serving cell, n is a report threshold of a switching measurement report and generally takes a value of 1-3dbm, and a base station carries out switching judgment and execution according to the measurement report reported by a terminal.
Further, in the method of this embodiment, according to the width of the bandwidth, the frequency band is reallocated to the cell, which is preferably implemented as follows: and selecting a frequency band from the original bandwidth to be distributed to the corresponding cell on the basis of taking the determined bandwidth as a frequency band selection unit and reducing the inter-cell interference.
The implementation manner of selecting a frequency band from the original bandwidth to allocate to the corresponding cell may be, but is not limited to:
dividing the original bandwidth into N frequency bands, and labeling each frequency band according to 0, 1, … and N-1;
obtaining a numerical value i by taking N as a module of the PCI of the cell, and distributing the frequency band with the frequency band label number equal to i to the cell; where N ═ INT (original cell bandwidth/determined bandwidth), where INT denotes rounding.
In summary, by adopting the method of the present invention, the idle time period and the resource usage trend of the cell can be judged, and resource optimization is performed by using the idle time period and the resource usage trend, so that the utilization rate of the spectrum resource is improved, and the effects of reducing interference and saving energy are achieved.
Example two
The embodiment of the invention provides an energy-saving method for optimizing spectrum resources, the implementation principle of the method is the same as that of the embodiment I, and only more technical details of the invention are given, so that the specific implementation process of the method provided by the invention can be better described.
A system framework diagram of the energy saving method for optimizing spectrum resources according to the present invention is shown in fig. 2, and the method mainly works in the following two network elements: a base station system and a network management server.
The base station system is used as a wireless network terminal access point and reports KPI data of the cell to a network management server; and performing energy-saving processing according to the cell resource use trend and the idle time period predicted by the network management server.
And the network management server acquires KPI data information of each cell, analyzes and processes the KPI data information, establishes a resource state model of each cell, and predicts the future resource use trend and idle time period of the cell, so that the base station performs self-optimization energy conservation based on the prediction information.
A PDCCH (Physical Downlink Control Channel) carries Control information of a terminal, a PDSCH (Physical Downlink Shared Channel) carries Downlink data traffic information of the terminal, and a PUSCH (Physical Uplink Shared Channel) carries Uplink data traffic information of the terminal; the idle state of system resources can be judged according to the resource utilization rate of PDCCH and the RB utilization rate of PDSCH/PUSCH.
Specifically, the energy saving method for optimizing spectrum resources according to the embodiment of the present invention includes:
a, dividing 24 hours a day into a plurality of time periods;
the time period is a time unit of the cell resource state model, and the granularity can be set as follows: such as 30 minutes.
B, the network management server acquires KPI data, analyzes and obtains the resource use condition of each time period of each cell according to the statistical result of D days to obtain a resource state model of the cell, and can further determine the resource use trend and the resource idle time period of the cell according to the resource state model;
wherein, the analyzing the resource usage of each time slot of each cell includes: the number of users, the utilization rate of PDCCH, the utilization rate of RB, the throughput, the bandwidth, whether the cell is overloaded or not and other information in the time period;
d is the number of days of mode reference; preferably, in the statistical analysis, the data of working days, rest days and holidays are processed separately.
The resource usage of the cell obtained by the analysis is described below with reference to fig. 3 and 4:
the resource usage (e.g., number of users, RB utilization, etc.) of each cell is periodic while maintaining the diversity with other cells. As shown in fig. 3 and 4, the performance statistics (KPI data obtained from the indian airtel current network) of throughput usage in two days for the first cell and the second cell respectively show that the resource usage rate is in a very low state (time on the horizontal axis and throughput on the vertical axis) when the first cell has two time periods; and the resource utilization rate of the second cell is in a very low state in a time period.
Therefore, the rough trend of the cell resources can be judged and predicted through the statistical analysis and processing of the historical KPI data, and the energy conservation under the conditions of periodicity and difference of the cell data service can be better solved.
C, when the cell reaches the self-optimization adjusting moment, starting to judge whether to enter a self-optimization link;
in the invention, self-optimization cannot be too frequent, otherwise, user experience is influenced; in contrast, the invention sets a self-optimization adjustment period, and the granularity can be set as follows: if every 30 minutes, when the self-optimization adjustment cycle is reached, further judging whether the current time is in a resource idle period, and whether the utilization rate of the PDCCH of the cell is less than U1 and the utilization rate of the resources of the cell is less than R1, and entering a self-optimization link when the utilization rates of the PDCCH of the cell and the PDCCH of the cell are all less than U1.
And D, entering a bandwidth self-optimization mode, executing four actions of terminal switching, bandwidth self-optimization, frequency band self-optimization and neighbor cell notification, and specifically as follows:
d1, bandwidth self-optimization: determining which bandwidth B is used according to historical resource use trends (historical bandwidth, user number, RB utilization rate, overload or not) and current resource use conditions (user number, PDCCH utilization rate, RB utilization rate and the like);
d2, frequency band self-optimization: (original default bandwidth of system is W)/(decision which bandwidth is used is B) — (number of frequency segments which can be divided into bandwidth B is N); n is rounded, the frequency band allocation is based on PCI (Physical Cell Id) characteristics, assignable frequency bands are labeled according to 0, 1 and … N-1, and the frequency band is allocated according to mod (PCI, N) by the Cell;
d3, switching terminal: switching the terminal of the cell to the adjacent cell; and after the cell completes resource adjustment according to the bandwidth self-optimization and frequency band self-optimization modes, switching the terminal meeting the switching condition back to the original cell.
d4, informing the neighbor: after the cell completes resource adjustment according to the bandwidth self-optimization and frequency band self-optimization modes, the cell notifies the adjacent cell of resource adjustment information (frequency band and frequency point modification information).
E, exiting the self-optimization mode condition: the utilization rate of the PDCCH of the cell is more than U2 or the utilization rate of the resources of the cell is more than R2; or, the idle period ends;
in order to avoid the user from exiting the energy saving mode due to a temporary burst data service causing a false judgment, the exit from the self-optimization mode is preferably optimized as follows: the PDCCH utilization rate of the cell is always greater than U2 in a continuous period of time T or the resource utilization rate of the cell is always greater than R2 in the continuous period of time T; or, the idle period ends; where T may be set to 30 seconds.
When the cell exits from the self-optimization energy-saving mode, the terminal in the cell is switched to the adjacent cell, and then frequency band and bandwidth recovery is carried out; and after the cell is recovered to be normal, switching the terminal meeting the switching condition back to the original cell.
The above mentioned U1, R1 are thresholds for entering the self-optimization mode, and U2, R2 are thresholds for exiting the self-optimization mode. The resource size of the PDCCH determines the number of the users which can be accommodated, and the utilization rate of the PDCCH also reflects the number of the users and the number of the users which can be accessed again from the side; the cell resources refer to uplink and downlink data regions PDSCH and PUSCH, and are used for data service transmission of users and are allocated according to user requirements. Therefore, R and U are used as decision factors, U1 and R1 are used as thresholds for entering bandwidth adjustment, and U2 and R2 are used as thresholds for exiting bandwidth adjustment.
A preferred embodiment of the present invention is given below with reference to fig. 5 to 9, and further details of the present invention are given in conjunction with the description of the embodiment, so that the present invention can better explain the implementation process of the providing method of the present invention.
The self-optimization energy-saving method based on the historical data model for the long term evolution disclosed by the invention specifically comprises the following steps as shown in figure 5:
step 4, the base station acquires the resource idle time period and the resource use trend information of each cell from the wireless network management server; the base station judges whether the current time is a resource idle time period of one or more cells, if so, the step 5 is carried out, otherwise, the step 3 is carried out;
step 6, entering a bandwidth self-optimization link, and judging which bandwidth is suitable according to a resource use trend model of a corresponding cell by combining the current user number, the PDCCH utilization rate and the RB utilization rate;
step 7, judging whether the currently applied bandwidth is the same as the bandwidth obtained by judgment, if so, entering step 8, otherwise, entering step 11;
step 8, entering a frequency band self-optimization link, (the default bandwidth of the original system is W)/(which bandwidth is determined to be used is B) — (the number of frequency bands which can be divided into bandwidth B is N); n is rounded, the frequency band allocation is based on PCI characteristics, assignable frequency bands are labeled according to 0, 1 and … N-1, and the frequency band is allocated to a cell according to mod (PCI, N); then step 9 is entered;
In order to make the logical relationship between the above steps clearer, fig. 6 is given, and fig. 6 illustrates the specific timing of the above steps by taking the original bandwidth of the cell as 20M as an example.
The following describes the implementation of the present invention with reference to two specific examples:
example 1: same frequency networking
Three cells of a base station (eNodeB) are all in the same-frequency networking, and the initial bandwidth of each cell is 20M (for a TDD system, the uplink and downlink bandwidths are 20M, for an FDD system, the uplink and downlink bandwidths are 20M respectively, and the legend refers to downlink 20M);
the PCIs of the three cells (cell1, cell2, cell3) are 81, 82, 83, respectively, as shown in fig. 7;
according to the historical data model and the current cell state, all three cells judge to enter an energy-saving mode and all adopt 5M bandwidth as cell bandwidth;
the original 20M bandwidth can be divided into 4 5M frequency bands, and the bands are labeled according to the sequence of 0, 1, 2 and 3, as shown in fig. 8;
the PCIs of Cell1, Cell2, and Cell3 are modulo 4 to obtain values of 1, 2, and 3, so that the frequency bands labeled 1, 2, and 3 are respectively allocated to Cell1, Cell2, and Cell3, as shown in fig. 9;
after three cells of the base station enter an energy-saving mode, staggered 5M frequency bands are used respectively, so that the power consumption of the cells is reduced, and the inter-cell interference is reduced.
Example 2: pilot frequency networking
Three cells of a base station (eNodeB) are all pilot frequency networking, and the initial bandwidth of each cell is 20M (for a TDD system, the uplink and downlink bandwidths are 20M, for an FDD system, the uplink and downlink bandwidths are 20M respectively, and the legend refers to downlink 20M);
the PCIs of the three cells (cell1, cell2, cell3) are 81, 82, 83 respectively; as shown in fig. 7.
According to the historical data model and the current cell state, all three cells judge to enter an energy-saving mode and all adopt 5M bandwidth as cell bandwidth;
the original 20M bandwidth can be divided into 4 5M frequency bands, and the frequency bands are labeled according to the sequence of 0, 1, 2 and 3; as shown in fig. 8.
The PCIs of the cells 1, 2, 3 are modulo 4 to obtain values of 1, 2, 3, so that the frequency bands denoted by 1, 2, 3 are respectively allocated to the cells 1, 2, 3, as shown in fig. 10.
After the three cells of the base station enter the energy-saving mode, 5M frequency bands are used respectively, so that the power consumption of the cells is reduced, and the cell interference among eNBs can be reduced.
In conclusion, by adopting the method of the invention, the idle time period and the resource use situation trend of the cell can be judged, and then the frequency band resource is further optimized, thereby improving the utilization rate of the frequency spectrum resource and achieving the effects of reducing interference and saving energy. According to the laboratory test results: when the power of the reference signal is 18dbm, under a no-load scene, the 5M bandwidth is about 45w lower than the 20M bandwidth; 1.4MHz and 3MHz lower. Calculating according to the idle time period of 10 hours in each cell on average, wherein each base station can save 2 degrees of electricity every day and is equal to 1.3 yuan; the bidding of China Mobile 2 period has 23 ten thousand base station sizes, and the electricity charge cost can be reduced by at least 30 ten thousand yuan per day in average in the whole network at that time.
EXAMPLE III
An embodiment of the present invention provides a network management server, as shown in fig. 11, including:
a modeling module 1010, configured to establish a resource state model of each cell based on historical KPI data of each cell;
a predicting module 1020, configured to predict resource usage trends and resource idle periods of each cell according to the resource state model of each cell;
an output module 1030, configured to output the predicted resource usage trend and resource idle period information of each cell to the corresponding base station, so that the base station performs resource optimization according to the resource usage trend and the resource idle period of the cell.
The modeling module 1010 specifically uses a set time period as a unit to acquire KPI data of each cell; calculating KPI data of D days of each cell, analyzing the resource use condition of each time period of each cell, and obtaining a resource state model of each cell; wherein D is a preset value.
In summary, the network management server according to this embodiment can determine the idle time period of the cell and the trend of the resource usage, and provide important parameter support for the base station to perform resource optimization.
Example four
An embodiment of the present invention provides a base station, as shown in fig. 12, including:
an information receiving module 1110, configured to obtain resource usage trend and resource idle period information of each cell, which are predicted by a network management server according to a resource state model of each cell;
a resource optimization module 1120, configured to determine, for a cell that meets a resource optimization condition, a bandwidth applicable to the cell according to a corresponding resource usage trend, and reallocate a frequency band for the cell according to a width of the bandwidth; the resource optimization conditions include: during the predicted resource idle period.
Based on the above structural framework and implementation principles, several specific and preferred embodiments under the above structure are given below to refine and optimize the functions of the base station of the present invention, and specifically relate to the following:
in this embodiment, the method for determining the bandwidth applicable to the cell by the resource optimization module 1120 further includes:
determining the bandwidth B1 applicable to the cell according to the corresponding resource use trend;
determining the lowest bandwidth B2 which can be used by the cell according to the current resource use condition of the cell;
when B2 is larger than B1, a bandwidth is finally determined by taking B2 as a criterion or B1 as the finally determined bandwidth.
Further, in this embodiment, the resource optimization module 1120 is further configured to determine, by using the time granularity of the cell resource state model as a period, a bandwidth applicable to the period of the cell according to the corresponding resource usage trend at the arrival time of each period, determine whether the bandwidth is the same as a currently applied bandwidth, and reallocate a frequency band for the cell according to the width of the currently determined bandwidth when the bandwidth is different from the currently applied bandwidth.
Preferably, in the resource optimization module 1120, the resource optimization conditions further include, but are not limited to: and reaching a set resource optimization adjustment period, and/or ensuring that the current resource utilization rate is lower than a set first threshold value.
Further, the resource optimization module 1120 is further configured to, when a certain cell meets the exit resource optimization condition, restore the resource parameter of the cell to the original value; the condition for satisfying the exit resource optimization includes but is not limited to: and ending the resource idle time period, or enabling the current resource utilization rate to be higher than a set second threshold value.
Further, the resource optimization module 1120 is further configured to switch the terminal of the cell to the neighboring cell before reallocating the frequency band to the cell, notify the neighboring cell of the resource parameter change information after reallocating the frequency band to the cell, and switch the terminal meeting the switching condition back to the original cell; and before recovering the resource parameters of the cell, switching the terminal of the cell to the adjacent cell, after recovering the resource parameters of the cell, notifying the adjacent cell of the resource parameter recovery information, and switching the terminal meeting the switching conditions back to the original cell.
Further, the resource optimization module 1120 selects a frequency band from the original bandwidth to allocate to the corresponding cell based on the determined bandwidth width as a frequency band selection unit and the principle of reducing inter-cell interference.
In the embodiment, the base station optimizes resources by using the idle time period and the resource use condition trend, so that the utilization rate of frequency spectrum resources is improved, and the effects of reducing interference and saving energy are achieved.
EXAMPLE five
The embodiment of the invention provides an energy-saving system with spectrum resources optimized, which comprises a network management server and a base station.
Since the structures and functions of the network management server and the base station have been described in detail in the third and fourth embodiments, the structures and functions are not described in detail in this embodiment.
In addition, since the present embodiment includes the network management server and the base station described in the third and fourth embodiments, the technical effects described in the third and fourth embodiments are also achieved, and further, the technical effects that the system described in the present embodiment can achieve are not described herein again.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (16)
1. A method for energy conservation with spectrum resources optimized, comprising:
establishing a resource state model of each cell based on the KPI data of the historical key performance indexes of each cell, and predicting the resource use trend and the resource idle time period of each cell according to the resource state model of each cell;
determining the bandwidth applicable to the cell according to the corresponding resource use trend aiming at the cell meeting the resource optimization condition, and reallocating the frequency band for the cell according to the width of the bandwidth; the resource optimization conditions include: during the predicted resource idle period; the method for determining the applicable bandwidth of the cell includes: determining the bandwidth B1 applicable to the cell according to the corresponding resource use trend; determining the lowest bandwidth B2 which can be used by the cell according to the current resource use condition of the cell; when B2 is larger than B1, a bandwidth is finally determined by taking B2 as a criterion or B1 as the finally determined bandwidth.
2. The method according to claim 1, wherein the establishing a resource state model of each cell based on the historical key performance indicator KPI data of each cell specifically comprises:
collecting KPI data of each cell by taking a set time period as a time unit;
calculating KPI data of D days of each cell, analyzing the resource use condition of each time period of each cell, and obtaining a resource state model of each cell; wherein D is a preset value.
3. The method according to claim 1, wherein the determining a bandwidth applicable to the cell according to the corresponding resource usage trend, and reallocating the frequency band to the cell according to the width of the bandwidth, specifically includes:
and determining the bandwidth applicable to the period of the cell according to the corresponding resource use trend at the arrival time of each period by taking the time granularity of the cell resource state model as the period, judging whether the bandwidth is the same as the currently applied bandwidth, and reallocating the frequency band for the cell by using the width of the currently determined bandwidth when the bandwidth is different from the currently applied bandwidth.
4. The method of claim 1, wherein the resource optimization condition further comprises: and reaching a set resource optimization adjustment period, and/or ensuring that the current resource utilization rate is lower than a set first threshold value.
5. The method of claim 1, wherein the method further comprises:
when a certain cell meets the condition of exiting resource optimization, restoring the resource parameters of the cell to the original values; the meeting of the exit resource optimization condition comprises: and ending the resource idle time period, or enabling the current resource utilization rate to be higher than a set second threshold value.
6. The method of claim 5, wherein in the method:
before the frequency band is reallocated for the cell, the terminal of the cell is switched to the adjacent cell, after the frequency band is reallocated for the cell, the resource parameter change information is notified to the adjacent cell, and the terminal meeting the switching condition is switched back to the original cell;
before recovering the resource parameters of the cell, the terminal of the cell is switched to the adjacent cell, after recovering the resource parameters of the cell, the resource parameter recovery information is notified to the adjacent cell, and the terminal meeting the switching conditions is switched back to the original cell.
7. The method of claim 1, wherein reallocating frequency bands for cells according to the width of the bandwidth, further comprising: and selecting a frequency band from the original bandwidth to be distributed to the corresponding cell on the basis of taking the determined bandwidth as a frequency band selection unit and reducing the inter-cell interference.
8. The method of claim 7, wherein the selecting a frequency band from the original bandwidth to be allocated to the corresponding cell based on the determined bandwidth as a frequency band selecting unit and the principle of reducing inter-cell interference comprises:
dividing the original bandwidth into N frequency bands, and labeling each frequency band according to 0, 1, … and N-1;
obtaining a numerical value i by taking N as a module of the PCI of the cell, and distributing the frequency band with the frequency band label number equal to i to the cell; where N ═ INT (original cell bandwidth/determined bandwidth), where INT denotes rounding.
9. A network management server, comprising:
the modeling module is used for establishing a resource state model of each cell based on the historical KPI data of each cell;
the prediction module is used for predicting the resource use trend and the resource idle time period of each cell according to the resource state model of each cell;
the output module is used for outputting the predicted resource use trend and resource idle time period information of each cell to the corresponding base station so that the base station can carry out resource optimization according to the resource use trend and the resource idle time period of the cell;
the base station performs resource optimization according to the resource use trend and the resource idle time period of the cell, and the resource optimization comprises the following steps: determining the bandwidth B1 applicable to the cell according to the corresponding resource use trend; determining the lowest bandwidth B2 which can be used by the cell according to the current resource use condition of the cell; when B2 is larger than B1, a bandwidth is finally determined by taking B2 as a criterion or B1 as the finally determined bandwidth.
10. A base station, comprising:
the information receiving module is used for acquiring the resource use trend and the resource idle time period information of each cell, which are predicted by the network management server according to the resource state model of each cell;
the resource optimization module is used for determining the bandwidth applicable to the cell according to the corresponding resource use trend aiming at the cell meeting the resource optimization condition, and reallocating the frequency band for the cell according to the width of the bandwidth; the resource optimization conditions include: during the predicted resource idle period; the method for determining the applicable bandwidth of the cell includes: determining the bandwidth B1 applicable to the cell according to the corresponding resource use trend; determining the lowest bandwidth B2 which can be used by the cell according to the current resource use condition of the cell; when B2 is larger than B1, a bandwidth is finally determined by taking B2 as a criterion or B1 as the finally determined bandwidth.
11. The base station of claim 10, wherein the resource optimization module is further configured to determine, at the time of arrival of each period, a bandwidth applicable to the period of the cell according to the corresponding resource usage trend, determine whether the bandwidth is the same as a currently applied bandwidth, and reallocate the frequency band for the cell according to the currently determined bandwidth when the bandwidth is different from the currently applied bandwidth.
12. The base station of claim 10, wherein the resource optimization module further comprises: and reaching a set resource optimization adjustment period, and/or ensuring that the current resource utilization rate is lower than a set first threshold value.
13. The base station of claim 10, wherein the resource optimization module is further configured to restore the resource parameters of the cell to the original values when the cell satisfies the exit resource optimization condition; the meeting of the exit resource optimization condition comprises: and ending the resource idle time period, or enabling the current resource utilization rate to be higher than a set second threshold value.
14. The base station of claim 13, wherein the resource optimization module is further configured to switch a terminal of the cell to the neighboring cell before reallocating the frequency band to the cell, notify the neighboring cell of the resource parameter change information after reallocating the frequency band to the cell, and switch back the terminal meeting the switching condition to the original cell; and before recovering the resource parameters of the cell, switching the terminal of the cell to the adjacent cell, after recovering the resource parameters of the cell, notifying the adjacent cell of the resource parameter recovery information, and switching the terminal meeting the switching conditions back to the original cell.
15. The base station of claim 10, wherein the resource optimization module is further configured to select a frequency band from the original bandwidth to be allocated to the corresponding cell based on the determined bandwidth as a frequency band selection unit and based on the principle of reducing inter-cell interference.
16. An energy efficient system with spectrum resources optimized, comprising: the network management server of claim 9, and the base station of any one of claims 10 to 15.
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| CN201410648513.3A CN105636056B (en) | 2014-11-14 | 2014-11-14 | Energy-saving method, device and system for optimizing spectrum resources |
| PCT/CN2015/077693 WO2016074446A1 (en) | 2014-11-14 | 2015-04-28 | Method, apparatus, and system for energy conservation of frequency spectrum resource self-optimization |
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| CN109996246B (en) * | 2017-12-30 | 2022-05-10 | 中国移动通信集团辽宁有限公司 | Energy-saving method, device, equipment and medium for base station cell |
| CN110363319B (en) * | 2018-03-26 | 2023-09-29 | 阿里巴巴集团控股有限公司 | Resource allocation method, server, resource claim method and client |
| CN109327844B (en) * | 2018-11-27 | 2021-09-14 | 中国联合网络通信集团有限公司 | Cell capacity expansion method and device |
| CN111372259B (en) * | 2018-12-26 | 2022-04-22 | 华为技术有限公司 | Performance evaluation method and device of wireless system |
| CN112118587B (en) * | 2019-06-19 | 2022-08-26 | 大唐移动通信设备有限公司 | Cell management method and equipment |
| CN112218231B (en) * | 2019-07-11 | 2023-10-10 | 中兴通讯股份有限公司 | Radio resource management method and device |
| CN113453344B (en) * | 2020-03-26 | 2023-06-09 | 大唐移动通信设备有限公司 | Method, device and storage medium for resisting adjacent cell bursty interference fluctuation |
| BR112022022959A2 (en) * | 2020-05-14 | 2023-01-17 | Huawei Tech Co Ltd | TERMINAL DEVICE AND CELL SELECTION METHOD |
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