CN113347696A

CN113347696A - Power distribution method and device

Info

Publication number: CN113347696A
Application number: CN202010136988.XA
Authority: CN
Inventors: 魏兴; 王晓龙; 闫琦
Original assignee: Huawei Technical Service Co Ltd
Current assignee: Huawei Technical Service Co Ltd
Priority date: 2020-03-02
Filing date: 2020-03-02
Publication date: 2021-09-03
Anticipated expiration: 2040-03-02
Also published as: CN113347696B; WO2021174960A1

Abstract

The embodiment of the application relates to a power distribution method, which is applied to a power sharing cell of multiple frequency points. The method comprises the following steps: acquiring parameter information of each cell in a plurality of cells, wherein the parameter information comprises: the method comprises the steps that a measurement report MR, transmission power information, load information and power sharing group information are obtained, wherein each cell corresponds to a frequency point; dividing the plurality of cells into at least one power sharing group according to the power sharing group information, wherein power sharing among the cells in the power sharing group is realized; for each power sharing group, constructing a multi-frequency point model of the power sharing group; distributing the transmitting power of the power sharing group according to the multi-frequency point model and preset configuration information to obtain the transmitting power of each cell in the power sharing group; and transmitting the transmitting power distributed to each cell to the base station of the corresponding cell. The power of various systems can be cooperatively optimized, and the overall spectral efficiency, energy conservation and load balance of the system are ensured to be optimal.

Description

Power distribution method and device

Technical Field

The present invention relates to the field of communications, and in particular, to a power allocation method and apparatus based on user location and traffic distribution.

Background

Currently, Long Term Evolution (LTE) and new radio access (NR) technologies are mainly static control when performing downlink power control. And the static control is that the terminal performs parameter configuration of reference power or power offset according to the coverage capability of each channel or signal, and then adjusts the transmitting power of an uplink channel according to the determined parameter configuration.

However, in the coverage of the wireless network, for example, a Base Station (BS) in fig. 1 is located at the intersection of three adjacent cells, and the area covered by the base station in one cell is a sector. Generally, one cell corresponds to one sector, but in some practical cases, there may be a plurality of sectors combined into one cell, and for example, one cell may be formed by 3 sectors. To simplify the concept of cell and sector, a sector can be colloquially considered to be equivalent to a cell. The difference of the distribution quantity of users is obvious for different frequency points in the same cell. Just like the two frequency points F1 and F2 shown in fig. 1, the frequency points may be numbers of fixed frequencies, and in general, the frequency points may also represent a frequency range with the fixed frequencies as the center frequency points. Of course, in one example, the frequencies F1 and F2 may be two frequency points of the F band, and the frequency range may be 1885 and 1915 MHz. Wherein, the frequency range of the F1 frequency point can be 1885-1905MHz, and the central frequency point can be 1895 MHz; the frequency range of the F2 frequency point can be 1904.4-1914.4MHz, and the central frequency point can be 1909.4 MHz. Obviously, the number of the user distribution of two different frequency points is different, for example, the F1 frequency point is distributed with only 1 user, and the F2 frequency point is distributed with 5 users. Of course, the fluctuation of data traffic between different frequency points in the same cell is also obvious, for example, as shown in fig. 2. It can be seen that the frequency F1 of cell 1 and the frequency F2 of cell 1 have completely different data traffic fluctuations. The same is true for cell 2 and cell 3.

Obviously, different power can be configured for different cells and different frequency points of the same cell, so that the communication quality is ensured and the mutual interference can be avoided.

Disclosure of Invention

The embodiment of the application provides a power distribution method, which divides cells with different numbers into a plurality of power sharing groups by acquiring parameter information of each cell. Wherein, power sharing can be performed between each cell in the power sharing group. And aiming at each power sharing group, distributing the power in the power sharing group according to different requirements, so that the shared power is optimally distributed while a plurality of cells in the power sharing group meet the requirements.

In a first aspect, a power allocation method is provided, and the method includes: acquiring parameter information of each cell in a plurality of cells, wherein the parameter information comprises: the method comprises the steps that measurement reports MR, transmission power information, load information and power sharing group information are obtained, wherein each cell corresponds to a frequency point, and the frequency points of different cells can be the same or different; dividing the plurality of cells into at least one power sharing group according to the power sharing group information, wherein power sharing among the cells in the power sharing group is realized; aiming at each power sharing group, constructing a multi-frequency point model of the power sharing group according to the MR, the transmitting power information and the load information of each cell in the power sharing group; distributing the transmitting power of the power sharing group according to the multi-frequency point model and preset configuration information to obtain the transmitting power of each cell in the power sharing group; and transmitting the transmitting power distributed to each cell to the base station of the corresponding cell. The power of various systems can be cooperatively optimized, and the overall spectral efficiency, energy conservation and load balance of the system are ensured to be optimal.

In one possible embodiment, constructing the multi-frequency-point model of the power-sharing group according to the MR, the transmission power information and the load information of each cell in the power-sharing group includes: dividing the area of each cell in the power sharing group into a plurality of grids; determining a load-power function of each cell according to the load information, the transmitting power information and the coverage area information of each cell, wherein the coverage area information is determined according to the grid; determining path loss information from the grid to each cell according to the MR and the transmitting power information of each cell; aiming at each grid, determining a home service cell of the grid according to the transmitting power information of each cell and the path loss information from the grid to each cell; and constructing the multi-frequency point model of the power sharing group according to the MR and the load-power function of the home service cell.

In one possible embodiment, the MR includes reference signal received power, RSRP, information for indicating the signal strength of the cell; determining the path loss information from the grid to each cell according to the MR and the transmission power information of each cell comprises the following steps: determining X cells covering the grids for each grid, wherein X is a positive integer and is less than or equal to the number of the acquired cells; and determining the path loss information from the grid to each cell in the X cells according to the RSRP information and the transmitting power information of each cell in the X cells.

In one possible embodiment, determining the home serving cell of each grid according to the changed transmission power information and the path loss information of the grid to each cell includes: determining the changed RSRP information of each cell in the X cells according to the changed transmitting power information and the path loss information from the grid to each cell; and determining one cell in the X cells as a home service cell of the grid according to the changed RSRP information of each cell.

In one possible embodiment, the parameter information further includes signal-to-noise ratio information; and determining one cell in the X cells as a home service cell of the grid according to the changed RSRP information and the signal-to-noise ratio information of each cell. The determination of the home serving cell is more accurate.

In one possible embodiment, constructing the multi-frequency-point model of the power sharing group according to the MR and the load-power function of each home serving cell comprises: aiming at each frequency point of each grid, constructing a single-grid single-frequency point model according to the MR of the attributive service cell of the grid, the MR of the adjacent cell of the attributive service cell and a load-power function of the attributive service cell of the grid; constructing a single-grid multi-frequency point model according to each single-grid single-frequency point model of the same grid; the multi-frequency point model of the power-sharing group is constructed from the single-grid multi-frequency point model of each grid to optimize based on the higher throughput of the cell.

In one possible embodiment, the parameter information further includes: cell frequency point information; constructing the multi-frequency point model of the power sharing group according to the MR and the load-power function of each home service cell comprises the following steps: constructing a single-frequency point model according to a load-power function and frequency point information of a home service cell; and constructing the multi-frequency point model of the power sharing group according to the single-frequency point model and preset configuration information. Optimization may be based on load balancing of different cells.

In one possible embodiment, the parameter information further includes: cell frequency point information and cell bandwidth information; constructing the multi-frequency point model of the power sharing group according to the MR and the load-power function of each home service cell comprises the following steps: aiming at each home service cell, constructing a single-cell power consumption model according to a load-power function, transmission power information and cell bandwidth information of the home service cell; constructing a single-frequency point power consumption model according to the cell frequency point information and the single-cell power consumption model; and constructing the multi-frequency point model of the power sharing group according to the single-frequency point power consumption model and preset configuration information. The optimization can be performed based on the electric quantity consumption of different cells, so that the energy is saved and the environment is protected.

In one possible embodiment, the configuration information includes priority coefficients of a plurality of frequency points.

In one possible embodiment, the method further comprises: constructing a whole network model according to the multi-frequency point model of each power sharing group; distributing the transmitting power of each power sharing group according to the whole network model and the configuration information to obtain the transmitting power of each cell in each power sharing group; and transmitting the transmitting power of each cell to the base station of the corresponding cell. And the cooperative optimization among a plurality of power sharing groups can be carried out, and the optimization range is further ensured to be expanded.

In one possible embodiment, the method further comprises: the power sharing group information is acquired by the base station.

In a possible embodiment, the parameter information further includes a connection relationship between the baseband processing unit BBU and the AAU, and the MR includes latitude and longitude information; the method further comprises the following steps: and acquiring power sharing group information according to the longitude and latitude information in the MR and the connection relation between the BBU and the AAU.

In a second aspect, there is provided a power distribution apparatus, the apparatus comprising: a receiver configured to acquire parameter information of each of a plurality of cells, the parameter information including: the method comprises the steps that measurement reports MR, transmission power information, load information and power sharing group information are obtained, wherein each cell corresponds to a frequency point, and the frequency points of different cells can be the same or different; a processor coupled to the memory and reading and executing instructions in the memory; executing the instructions when the processor is running, such that the processor is further operable to: dividing the plurality of cells into at least one power sharing group according to the power sharing group information, wherein power sharing among the cells in the power sharing group is realized; aiming at each power sharing group, constructing a multi-frequency point model of the power sharing group according to the MR, the transmitting power information and the load information of each cell in the power sharing group; distributing the transmitting power of the power sharing group according to the multi-frequency point model and preset configuration information to obtain the transmitting power of each cell in the power sharing group; and the transmitter is used for transmitting the transmitting power distributed to each cell to the base station of the corresponding cell. The power of various systems can be cooperatively optimized, and the overall spectral efficiency, energy conservation and load balance of the system are ensured to be optimal.

In one possible embodiment, the processor is further configured to: dividing the area of each cell in the power sharing group into a plurality of grids; determining a load-power function of each cell according to the load information, the transmitting power information and the coverage area information of each cell, wherein the coverage area information is determined according to the grid; determining path loss information from the grid to each cell according to the MR and the transmitting power information of each cell; aiming at each grid, determining a home service cell of the grid according to the transmitting power information of each cell and the path loss information from the grid to each cell; and constructing the multi-frequency point model of the power sharing group according to the MR and the load-power function of the home service cell.

In one possible embodiment, the MR includes reference signal received power, RSRP, information for indicating the signal strength of the cell; the processor is further configured to: determining X cells covering the grids for each grid, wherein X is a positive integer and is less than or equal to the number of the acquired cells; and determining the path loss information from the grid to each cell in the X cells according to the RSRP information and the transmitting power information of each cell in the X cells.

In one possible embodiment, the processor is further configured to: determining the changed RSRP information of each cell in the X cells according to the changed transmitting power information and the path loss information from the grid to each cell; and determining one cell in the X cells as a home service cell of the grid according to the changed RSRP information of each cell.

In one possible embodiment, the parameter information further includes signal-to-noise ratio information; the processor is further configured to: and determining one cell in the X cells as a home service cell of the grid according to the changed RSRP information and the signal-to-noise ratio information of each cell. The determination of the home serving cell is more accurate.

In one possible embodiment, the processor is further configured to: aiming at each frequency point of each grid, constructing a single-grid single-frequency point model according to the MR of the attributive service cell of the grid, the MR of the adjacent cell of the attributive service cell and a load-power function of the attributive service cell of the grid; constructing a single-grid multi-frequency point model according to each single-grid single-frequency point model of the same grid; the multi-frequency point model of the power-sharing group is constructed from the single-grid multi-frequency point model of each grid to optimize based on the higher throughput of the cell.

In one possible embodiment, the parameter information further includes: cell frequency point information; the processor is further configured to: constructing a single-frequency point model according to a load-power function and frequency point information of a home service cell; and constructing the multi-frequency point model of the power sharing group according to the single-frequency point model and preset configuration information. Optimization may be based on load balancing of different cells.

In one possible embodiment, the parameter information further includes: cell frequency point information and cell bandwidth information; the processor is further configured to: aiming at each home service cell, constructing a single-cell power consumption model according to a load-power function, transmission power information and cell bandwidth information of the home service cell; constructing a single-frequency point power consumption model according to the cell frequency point information and the single-cell power consumption model; and constructing the multi-frequency point model of the power sharing group according to the single-frequency point power consumption model and preset configuration information. The optimization can be performed based on the electric quantity consumption of different cells, so that the energy is saved and the environment is protected.

In one possible embodiment, the processor is further configured to: constructing a whole network model according to the multi-frequency point model of each power sharing group; distributing the transmitting power of each power sharing group according to the whole network model and the configuration information to obtain the transmitting power of each cell in each power sharing group; the transmitter is further configured to transmit the transmission power of each cell to the base station of the corresponding cell. And the cooperative optimization among a plurality of power sharing groups can be carried out, and the optimization range is further ensured to be expanded.

In one possible embodiment, the receiver is further configured to acquire the power sharing group information through the base station.

In a possible embodiment, the parameter information further includes a connection relationship between the baseband processing unit BBU and the AAU, and the MR includes latitude and longitude information; the processor is further used for acquiring power sharing group information according to the longitude and latitude information in the MR and the connection relation between the BBU and the AAU.

In a third aspect, a computer-readable storage medium is provided, having instructions stored thereon, wherein the instructions, when executed on a terminal, cause the terminal to perform the method of any of the first aspect.

In a fourth aspect, there is provided a computer program device comprising instructions which, when run on a terminal, cause the terminal to perform the method of any one of the first aspects.

The application discloses a power distribution method and a power distribution device. And aiming at each power sharing group, constructing a multi-frequency point model according to the MR, the transmitting power information and the load information of each cell in the power sharing group. And distributing the transmitting power of the power sharing group according to the multi-frequency point model and preset configuration information to obtain the transmitting power of each cell in the power sharing group. And then transmitting the transmitting power of each cell to the base station of the corresponding cell. The power of various systems can be cooperatively optimized, and the overall spectral efficiency, energy conservation and load balance of the system are ensured to be optimal.

Drawings

Fig. 1 is a schematic diagram of a user distribution in a conventional communication network;

fig. 2 is a schematic diagram of data traffic fluctuation of a conventional communication network;

fig. 3 is a schematic view of an application scenario provided in an embodiment of the present application;

fig. 4 is a schematic diagram of a connection relationship between an AAU and a BBU provided in an embodiment of the present application;

FIG. 5 is a schematic diagram of power sharing provided by an embodiment of the present application;

fig. 6 is a schematic diagram of power allocation of LTE and NR according to an embodiment of the present disclosure;

fig. 7 is a schematic diagram of a unidirectional power adjustment provided in an embodiment of the present application;

fig. 8 is a schematic diagram of a network level power adjustment according to an embodiment of the present application;

FIG. 9 is a block diagram of a power distribution system according to an embodiment of the present disclosure;

FIG. 10 is a block diagram of another power distribution system according to an embodiment of the present application;

fig. 11 is a flowchart of a power allocation method according to an embodiment of the present application;

fig. 12 is a schematic diagram of grid division according to an embodiment of the present application;

fig. 13 is a schematic diagram of a power distribution effect provided in the embodiment of the present application;

fig. 14 is a schematic diagram of a power distribution apparatus according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

The method and the device are mainly applied to the power sharing scene among a plurality of cells. Fig. 3 is a schematic diagram of an application scenario. The power-sharing group may include a plurality of cells, for example, the power-sharing group 1 includes cells 1 to 7, the power-sharing group 2 includes cells 8 to 10, and the power-sharing group 3 includes cells 11 to 14. It will of course be appreciated that there may be more power-sharing groups and that there may be any other number of cells within each power-sharing group. For each power sharing group, a plurality of cells in the group share a certain amount of power, i.e., power is shared among a plurality of cells in the group. Shared power means that for a multimode base station, when the power utilization rate of one cell is low, the cell can share idle power to other cells in the group for use. Of course, if the power utilization rate of other cells in the group is low, other cells in the group may also share the idle power to the cell.

The actual physical connection for the power sharing scenario may be as shown in fig. 4, for example. Fig. 4 shows a schematic connection relationship between an Active Antenna Unit (AAU) and a baseband unit (BBU). The AAU is an integrated component of a Radio Unit (RU) and an antenna (antenna unit, AU) of a base station. The BBU is mainly used for processing base band signals of the base station. It is understood that a plurality of cells of the same power sharing group share one AAU, which may be referred to as a common AAU for short. Different cells may correspond to different frequency points, and multiple cells share one AAU, which means that multiple frequency points may share one AAU. As shown in fig. 4, the AAUs of each cell may include macro (macro) AAUs, optical fiber (optical fiber), and micro (micro) AAUs, and the AAUs of different cells may be connected to the BBU through an optical fiber transmission network. The AAUs connected via the BBU can be regarded as a whole, i.e. the AAUs connected via the BBU can be regarded as one AAU, so that the AAUs are shared by the cells connected to each other.

It is noted that "power sharing group" and "common AAU" are understood to have the same meaning in this application.

For multiple cells in a common AAU, power may be shared, for example, a power sharing diagram shown in fig. 5. The gray power portion of fig. 5 illustrates a common AAU power pool. For multiple cells within the common AAU, it also means that the power in the power pool in the common AAU needs to be commonly used. The power pool of the common AAU may be regarded as the total power that the common AAU may use. For example, the LTE cell in the AAU uses a part of the power in the power pool, and the NR cell in the AAU also uses a part of the power in the power pool. However, it may be that, at some time, the power of the LTE cell may not be fully utilized, and for the idle power that is not utilized, the power may be allocated to the NR cell in the common AAU for use, so as to implement power sharing between cells. It is of course understood that power sharing may be achieved for all power within the common AAU for different cells within the common AAU. The residual power of the cell in the power sharing group (sharing AAU) is shared to other cells which have transmission requirements and are limited in power, so that the power utilization rate and the throughput rate of cell services are improved, and the user experience is improved.

In one example, for the case that an LTE cell and an NR cell share power in a common AAU, since the site density of LTE is higher than that of NR, joint adjustment at the network level may be performed, so as to achieve a corresponding optimization target. For example, as shown in fig. 6, for a common AAU, a part of power in the power pool may be allocated to the LTE cell and another part of power may be allocated to the NR cell. E.g. dividing the power P of the power pool into P_LTEAnd P_NRAnd then subdividing the LTE cell or the NR cell. For example, a NR1 cell allocates d1 power, a NR2 cell allocates d2 power, a LTE1 cell allocates d3 power, a LTE3 cell allocates d4 power, and a LTE2 cell allocates d5 power. After power distribution is carried out on a plurality of cells in the common AAU, part of power of an original LTE cell can be distributed to the NR cell for use, so that the throughput rate of the NR cell is improved, the interference of the LTE cell is reduced, and the service quality of the LTE cell is improved. On the contrary, part of the power of the original NR cell may be distributed to the LTE cell, so as to improve the coverage capability of the LTE cell.

In some aspects, power adjustment may be achieved through unidirectional power control of a Mobile Station (MS). Mobile station represents a terminal device of a mobile user, e.g. a mobile phone, a tabletBrain, wearable device, vehicle-mounted device, and the like. For example, the mobile station measures the propagation loss between the mobile station and the base station according to the strength of the pilot signal received by the base station, thereby determining the magnitude of the transmission power. The transmission power of the mobile station is controlled within a certain range. If the mobile station received power is low, it indicates that the forward link (downlink) loss is high, and the mobile station may consider that the reverse link (uplink) loss is also high. The mobile station can increase its own transmit power. Conversely, if the mobile station received power is greater, the mobile station's transmit power is decreased. By the mobile station itself performing power control, it is clear that this scheme is only for a single user. Such as a unidirectional power adjustment scheme shown in fig. 7. MS (Mass Spectrometry)₁Determining the received power as

And determines the power loss of the forward link, then the MS₁Controlling its own transmission power to

So as to offset the loss of the corresponding reverse link. For MS, the same principle applies₂According to the receipt

Power, controlling the transmission power of itself to be adjusted to

It is obvious that the transmit power of each control itself is different for different MSs. It can be seen that this scheme is only power adjustment for the mobile stations served by itself in a cell, and the adjustment may result in mutual interference among a plurality of mobile stations in different cells. For example, the "near-far effect" may occur. The "near-far effect" is a phenomenon in which an MS located closer to a base station will interfere with an MS located farther from the base station.

In other schemes, of course, for a certain frequency point, when the mobile station is working to transmit signals, the mobile station is a useful signal with respect to the serving cell, and is an interference signal with respect to the non-serving cell. The received desired signal and the interfering signal are different for different cells. According to the ratio of the signal received by each cell to the interference, the transmitting power of the mobile station is adjusted to a reasonable level, thereby bringing the gain to the performance of the whole network. It is clear that the scheme adjusts power at the network level, not for a certain base station, or for a certain mobile station. For example, fig. 8 shows a schematic diagram of network level power adjustment, and it can be seen that the signal transmitted by each mobile station is only useful for the serving cell in which the mobile station is located. Are interfering signals with respect to other neighboring cells. For a plurality of frequency points existing in a plurality of operators, part of or all cells are AAU-shared cells, that is, power is allocated from the same power pool. For a single frequency point, the optimization of power is only adjustment from the network optimization angle of the frequency point, which may result in that the power of the power pool in the AAU is not used up, or the overall network performance of a certain important frequency point is poor, so that it cannot be ensured that the efficiency of the overall frequency spectrum is optimal, the service quality of each cell is optimal, energy is saved most, or the load is more uniform. Therefore, controlling the power allocation becomes a key issue for network downlink planning and optimization.

The power sharing method and the power sharing device aim at power sharing among cells with different frequency points in a network, a plurality of different frequency points possibly exist in the same physical area, and the number of base stations corresponding to each cell, the position of the base stations, the number of users served by the cell and the load are also different. Therefore, by collecting the parameter information of each cell, power distribution is performed on a plurality of cells in the common AAU according to different optimization targets. And carrying out power distribution aiming at different frequency points of the same cell and among a plurality of different cells, namely reasonably configuring the transmitting power. The interference among a plurality of cells with different frequency points is solved, and the optimal network performance is ensured. By configuring different powers for different physical channels and physical signals, the performance of the whole network system can be optimized, and the network coverage quality and the user service experience can be effectively improved, such as the optimal throughput rate of a certain frequency point, the optimal throughput rate of the whole network, the most balanced load or the lowest power consumption (the most energy-saving).

The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application.

Fig. 9 is a schematic diagram of a power distribution system framework according to an embodiment of the present application.

As shown in fig. 9, in the present application, parameter information of each cell is first acquired by a data acquisition module 901. The data collecting module 901 can collect parameter information of different cells through a base station. In some cases, the collection may also be performed manually, for example, a worker directly collects the parameter information of the cell by using a terminal device. Then, the data processing module 902 calculates feature information of each cell according to the collected parameter information of different cells, and constructs a multi-frequency point model. The calculated characteristic information may be, for example, path loss information, location information, load information, and/or the like. And then constructing a multi-frequency point model according to the acquired parameter information and the calculated path loss information. The power allocation module 903 obtains the transmission power of each cell in the AAU through a frequency point model according to different optimization targets. And obtaining a power allocation scheme of a specific optimization target through an optimization algorithm. The command issuing module 904 issues the transmission power of different cells to the base station of the corresponding cell. Different cells correspond to the same or different frequency points, such as frequency points f1, f2, and f 3. And distributing the power in the power pool according to the calculated transmitting power respectively, so that the cells do not interfere with each other any more and the expected optimization target can be met.

Fig. 10 is a schematic diagram of another power distribution system framework provided in the embodiment of the present application.

As shown in fig. 10, the data processing module 902 may also construct a multi-frequency point model according to a preset configuration; and the power allocation module 903 may also obtain a power allocation scheme for a specific optimization target with reference to a preset configuration. The preset configuration is specific information preset before power allocation, and may be, for example, information such as constraints of some variables, preset threshold values, priorities corresponding to different frequency points, power constraints of different power sharing groups, and specific optimization targets.

Fig. 11 is a flowchart of a power allocation method according to an embodiment of the present application.

As shown in fig. 11, there is provided a power allocation method applied to the system framework shown in fig. 9 and 10, and the method may include the following steps:

s1101, collecting parameter information of each cell in a plurality of cells.

Parameter information of a plurality of cells is collected by the data collection module 901. The areas where the collected cells are located may be different, for example, the collected areas include a certain urban area and a certain county. The parameter information may include a Measurement Report (MR) of each cell, transmission power information of each cell, load information of each cell, or power sharing group information. The power sharing group information may also be referred to as AAU-common information, and the AAU-common information records which cells are AAU-common to the cell. In one example, the data collection module 901 may collect parameter information of multiple cells through a network management tool. The acquired MR can be shown in table 1.

TABLE 1

Of course, in some examples, the parameter information may further include location information of each cell, frequency point information of each cell, model information of an AAU connected to each cell, and the like. The location information may be present alone or included in the MR. In one example, the MR may further include location information of the cell, such as longitude and latitude, as shown in table 2.

Cell ID	Longitude (G)	Latitude
			123	104.027	30.618
456	189.473	28.796
			…	…	…

TABLE 2

For example, table 3 shows that the parameter information includes transmission power information of each cell, frequency point information of each cell, and model information of an AAU connected to each cell. The parameter information may also include, for example, the bandwidth of the cell and the AAU frame slot number. The AAU frame slot numbers are used for describing the connection information of the AAUs and the BBUs, and the same frame slot numbers of different cells indicate that the AAUs of the cells are connected with the same BBU together, so that the common AAU is formed. The AAU model is used to indicate which model of AAU the cell is connected to. It will be appreciated that, typically, the AAU models for a plurality of cell connections sharing an AAU are the same. It should be noted that a plurality of cells having the same model AAU may not be the common AAU, and for which cells are the common AAU, the determination needs to be made through the common AAU information.

Cell ID	Bandwidth of	Frequency point	Transmitting power	AAU cabinet frame groove number	AAU model
						123	100M	F1	20w	123	AAAA
456	20M	F2	40w	123	AAAA
						…	…	…	…	…	…

TABLE 3

In yet another example, the collected parameter information includes load information of each cell, such as shown in table 4.

Cell ID	Amount of inflow water	PRB utilization
			123	9999	25％
456	1000000	50％
			…	…	…

TABLE 4

Table 4 includes the amount of water coming from the cell and the Physical Resource Block (PRB) utilization. The incoming water amount represents the number of communication services carried by the cell, and the PRB utilization rate represents the use condition of the PRB of the cell. The water inflow is substantially proportional to the PRB utilization, that is, the higher the water inflow of a cell is, the higher the PRB utilization of the cell is. Obviously, when the water volume of a certain cell is relatively large and the PRB utilization rate is also relatively high, the load of the cell is relatively large.

S1102, divide the plurality of cells into at least one power sharing group.

The data processing module 902 performs corresponding feature calculation according to the parameter information of each cell acquired by the data acquisition module 901. For example, the characteristics of the common AAU of each cell are calculated according to the collected common AAU information of each cell. The data processing module 902 groups a plurality of cells that together have an AAU. For example, the collected power sharing group information of each cell may be that the common AAU information of cell a is the common AAU with cell C and cell D; the common AAU information of the cell B is common AAU with the cell E; the AAU information of the cell C is the AAU information shared by the cell A and the cell D; the AAU information of the cell D is the AAU information shared by the cell A and the cell C; the AAU-shared information of cell E is AAU-shared with cell B. Based on the above information, cell a, cell C, and cell D may be divided into one common AAU, and cell B and cell E may be divided into another common AAU.

In one example, the AAU-sharing information may directly record cell IDs of other cells sharing the AAU with the cell. Such as shown in table 5.

Cell ID	AAU model	With which cells share an AAU	Whether it is total of AAU
				123	AAAA	456	Is that
456	AAAA	123	Is that
				789	BBBB		Whether or not
…	…	…	…

TABLE 5

As can be seen, table 5 records the AAU sharing situation of each cell, for example, the AAU sharing the cell 123 and the cell 456, and the AAU model connected to the cell 123 is AAAA; the cell 456 and the cell 123 share an AAU, and the AAU model connected with the cell 456 is AAAA; cell 789 does not share an AAU with any other cell, and the AAU model connected to cell 789 is BBBB. And may determine which cells are co-AAU cells, e.g., may determine that cell 123 and cell 456 are co-AAU cells and cell 789 is not a co-AAU cell.

Of course, the power sharing group information may also be determined according to the location information of the cell and the connection condition between the AAU and the BBU. It can be understood that, if the acquired parameter information does not include the location information of the cell, the longitude and latitude information may be added to the MR in the parameter information of the cell by using a positioning algorithm. In an example, the positioning algorithm may be, for example, a fingerprint positioning algorithm, a triangulation positioning algorithm, a cell positioning algorithm, an indoor and outdoor distinguishing algorithm, and the like, which is not limited herein. The MR with the added position information can be regarded as combining table 1 and table 2 into one table, for example, as shown in table 6.

TABLE 6

In one example, the common AAU condition of each cell as shown in table 5 can be determined, for example, by the longitude and latitude information of each cell recorded in table 6 and the AAU cabinet frame slot number (AAU and BBU connection information) recorded in table 3. For example, the AAU of cell a, the AAU of cell C, and the AAU of cell D are commonly connected to one BBU, and the AAU of cell B and the AAU of cell E are commonly connected to one BBU. Because different physical regions may have the same AAU cabinet frame slot number, it is also possible to consider that different cells in the same block have the same AAU cabinet frame slot number according to the longitude and latitude information of each cell. And according to the position information, if the cell A, the cell C and the cell D are positioned in the same fixed area, the cell B and the cell D are positioned in the same fixed area. Cell a, cell C, and cell D may be divided into one common AAU and cell B and cell E may be divided into another common AAU. For example, cell a, cell C, and cell D are all beijing areas, and cell B and cell D are both shanxi areas. Of course, if the cell a and the cell D are beijing areas and the cell C is a south-of-the-river area, the AAU cabinet frame slot numbers of the cell C are the same as those of the cell a and the cell D, but the cell a and the cell D can be still only divided into a common AAU, and the common AAU does not include the cell D.

It is noted that in one extreme case there may be only one cell in a power-sharing group, and in the other extreme case, all cells collected over the entire range may be located in the same power-sharing group.

S1103, aiming at each power sharing group, calculating the path loss information of each cell in the power sharing group, and constructing a multi-frequency point model.

First, the data processing module 902 determines a geographical area covered by the collected multiple cells according to the collected location information of the multiple cells. And dividing the geographical area of a plurality of cells into squares with the same size, wherein each square is called a grid. For example, as shown in fig. 12, the whole area is an area of the collected multiple cells, and each corresponding cell is a grid.

And calculating the path loss information between each grid and each cell according to the MR of each cell and the transmission power information aiming at each grid. The path loss here may be regarded as an uplink path loss or a downlink path loss, and it is understood that the uplink path loss and the downlink path loss may be regarded as the same if the base station and the mobile station are not located at the same position. Therefore, the path loss information determined by the downlink information may be used as the path loss of the downlink or the path loss of the uplink. The MR includes Reference Signal Receiving Power (RSRP) information, which is a cell level shown in table 1 and has a unit of decibel-milliwatt dBm. In one example, the path loss information may be obtained by subtracting the cell level from the transmit power. Of course, in other examples, more other information may be considered according to the actual situation, and the path loss information is obtained through common calculation, which is not limited herein. Based on the level of each cell and the transmission power, the path loss information from each grid to each cell can be obtained, for example, as shown in table 7.

TABLE 7

It should be noted that when calculating the road loss information, it may be determined which cells each grid can be covered by according to the location information (longitude and latitude) of the grid and the location information (longitude and latitude) of each cell. Then, for each grid, path loss information for a plurality of cells that can cover the grid is calculated.

The data processing module 902 may also determine a load-power function of each cell according to the collected load information of each cell, the coverage area of each cell, and the transmission power information of each cell, for example, as shown in table 8.

TABLE 8

It can be seen that the load versus power relationship can be expressed by a linear function. For convenience of description, the load-power function is represented by a unary linear equation, wherein k1, k2, k3 are used to represent coefficients in the functional equation, and b1, b2, b3 are used to represent constants in the functional equation. Obviously, the coefficients and constants are only shown here, and in other examples, the coefficients and constants may be developed by machine learning and referring to more parameters, and the present application is not limited herein. In some examples, the determination of the power-load function may be that the function of the water inflow and the PRB utilization of the cell is first obtained by calculating the water inflow and the PRB utilization, and then the power is introduced into the function of the water inflow and the PRB utilization through the relationship between the power and the water inflow, so as to obtain the function of the power and the PRB utilization, that is, the power-load function.

The data processing module 902 calculates the collected data in a machine learning manner to obtain a load-power function common to each cell. When a new power is input, the PRB utilization rate of each cell under the new power can be obtained.

The data processing module 902 constructs, for each power sharing group of at least one power sharing group, a multi-frequency point model of the power sharing group according to preset configuration information, the MR of each cell in the power sharing group, and the calculated load-power function of each cell in the power sharing group. The preset configuration information may be preset in the data processing module 902, or may be acquired by the data acquisition module 901.

The configuration information includes various optimization objectives that are possible, such as optimizing throughput for 5G, more uniform overall load, more energy efficient overall, and so on. In still other examples, the configuration information may further include priorities of different frequency points and corresponding priority coefficients. It can be referred to table 9.

Frequency point	Priority level	Priority coefficient
			F1	1	0.9
F2	2	0.3
			F3	3	0
…	…	…

TABLE 9

It can be seen that different frequency points have different priorities. Meanwhile, the multi-frequency point model has different priority coefficients for different priorities when being constructed. Obviously, the higher the priority of the frequency point is, the higher the corresponding priority coefficient is.

In an example, if the optimization objective is to optimize the 5G throughput, for example, in a non-independent Network (NSA) scenario, the NR and LTE cells are common AAU cells, and different cells may share power. To optimize the throughput of the NR cell, part of the power of the LTE cell can therefore be used for the NR cell. After the LTE cell borrows power, the coverage area of the cell is reduced, and the interference of the LTE on NR is reduced; for the NR cell, the coverage is improved, and the signal-to-noise ratio or the signal-to-interference-and-noise ratio of the cell is also improved.

The multi-frequency point model may be constructed by first constructing a single-grid single-frequency point model F, and then constructing a single-grid multi-frequency point model F according to the multiple single-grid single-frequency point models F and the priority coefficients, which may be calculated by F ═ k ×.f, for example. And k is the priority coefficient of each frequency point. And finally, constructing a multi-frequency point model G according to the multiple single-grid multi-frequency point models F, wherein the multi-frequency point model G can be obtained by calculation of G ═ Sigma F.

In an example, when constructing the single-grid single-frequency point model, the single-grid single-frequency point model may be obtained by referring to the signal strength and the PRB utilization rate of the home serving cell to which each grid belongs, and the signal strength and the PRB utilization rate of the neighbor cell of the home serving cell. Of course, some interference factors such as noise may also be considered. For example, the single-grid single-frequency-point model may be obtained by f1 ═ signal strength of the current grid home serving cell)/(signal strength of the home serving cell neighbor × + N of PRB utilization of the neighbor. Wherein f1 is a possible expression form of the single-grid single-frequency point model f; n represents an algebraic form of noise and/or other interference factors. Of course, the calculation may also be performed for the same-frequency cell, for example, f1 ═ signal strength of the current grid home serving cell)/(signal strength of a neighboring cell having the same frequency as the home serving cell · PRB utilization ratio of the neighboring cell + signal strength of a neighboring cell having a different frequency but overlapping with the home serving cell · frequency domain overlapping coefficient · PRB utilization ratio of the neighboring cell + N). It can be understood that the value of N can be taken according to the actually detected noise condition. And then, according to the obtained single-frequency-point single-grid model F1, referring to priority coefficients k of different frequency points, and obtaining a single-grid multi-frequency-point model F1 through F1 ═ k ═ F1. Where F1 is one possible representation of the above-described single-grid multi-frequency point model F, Σ represents an additive sum. Finally, a multi-frequency point model G1 is calculated by G1 ═ Σ F1. Wherein, G1 is a possible expression form of the multi-frequency point model G. In other examples, for the case where there are multiple power-sharing groups, the entire net model Z1 may also be constructed in conjunction with the multi-frequency point model G1 for each power-sharing group. In the range of the collected cells, there may exist a plurality of power sharing groups, and the plurality of power sharing groups constitute a network environment of the whole network. The adjustment of the whole network can be a macroscopic adjustment based on a plurality of different power sharing groups. For example, the entire network model may be calculated by Z1 ═ Σ G1, or different power sharing groups have different priority coefficients j, or by Z1 ═ Σ j × G1.

For the determination of the home serving cell of each grid in the multi-frequency point model, it can be understood that when the transmission power of the cell changes, the level of each cell detected by each grid also changes. Since the path loss information from the grid to each cell is not changed, the level information of each cell detected by the grid can be calculated by the path loss information and the new transmission power of each cell. Since the level information of a cell may characterize the signal strength of the cell detected by the grid, the home serving cell of the grid may be determined from the cell level information. Wherein, the level information of the cells detected by each grid to cover the grid can be shown in table 10.

Watch 10

It can be seen that the level, i.e. the signal strength, of each cell covered by the grid detected by the grid can be obtained by subtracting the path loss of each grid to each cell covered by the grid, which is calculated by the data processing module 902, from the new transmission power of each cell. The home serving cell for the grid may then be determined from either the a3 quasi-side or the S quasi-side. It is obvious that each grid belongs to only one cell. The a3 criterion may be used to trigger handover between grid co-frequency cells or inter-frequency cells, and when the data processing module 902 detects that the signal strength of the neighboring cell is higher than that of the original cell, the handover of the home serving cell may be triggered. After the handover, when the mobile station at the grid position communicates with the base station, data and service transmission can be performed through the new home serving cell. Of course, in other examples, the handover of the home serving cell may also be triggered when the data processing module 902 detects that the signal strength of the neighboring cell is higher than the signal strength of the original cell by a certain offset. Wherein the offset may be a predetermined fixed value. The S criterion is used to continue to camp on the current cell when it is detected that the signal strength of the current cell meets the preset requirement, that is, the home serving cell does not perform handover. In some other examples, the camping on the current cell may be continued when the signal strength and the signal quality of the cell both meet preset requirements. It is noted that the serving cells of the grids can be calculated independently for LTE and NR, e.g. if the same grid belongs to only one cell in an LTE network; if in an NR network, the grid may also belong to a certain cell in the NR. Because the frequency points used by LTE and NR are different, it is generalized that for each grid, the home serving cell under each frequency point can be calculated based on different frequency points.

In another example, if the optimization objective is load balancing, for example, in a non-stand alone (NSA) scenario, the NR and LTE cells are AAU-shared cells, and power may be shared between different cells. In order to optimize the load balancing, part of the power of the LTE cell can therefore be used by the NR cell. The coverage area of the LTE cell is reduced after the power of the LTE cell is borrowed, and the load capacity of the LTE is reduced; for the NR cell, the coverage area is improved, and the load capacity of the cell is improved, so that the overall load is more balanced.

The multi-frequency point model can be constructed by firstly constructing a single-frequency point model s and then constructing a multi-frequency point model G according to a plurality of single-frequency point models s and priority coefficients.

In one example, when constructing the single frequency point model, the PRB utilization rate of each cell at the current power may be first calculated according to the transmit power information of each cell and the load-power function. Obviously, if the transmission power of each cell is changed, the PRB utilization of each cell is also changed accordingly. As the power of each cell changes, the coverage of each cell changes, and the number of grids assigned to the cell changes. The determination of the grid home serving cell may refer to the manner described in table 10, and is not described herein again. Then, a multi-cell single-frequency-point model is constructed, and for example, the multi-cell single-frequency-point model can be calculated through s1 ═ ((Σ PRB utilization rate of the frequency-point cell) × (Σ PRB utilization rate of the frequency-point cell))/(number of the frequency-point cells ∑ (PRB utilization rate of other frequency-point cells × (PRB utilization rate of other frequency-point cells) ×). s1 is one possible representation of the multi-cell single frequency point model s described above. And the other frequency point cells are cells of other frequency points except the frequency point. It can be understood that, for a single frequency point model in each power sharing group, if only one cell exists for the frequency point in the power sharing group, the single frequency point model is a single frequency point model of the single cell; of course, if the frequency point in the power sharing group only has a plurality of cells, the single frequency point model is a multi-cell single frequency point model. Finally, a multi-frequency point model G2 is constructed by combining the priority coefficients k of the frequency points, and for example, a multi-frequency point model G2 is calculated by G2 ═ ((Σ k × s1) × (Σ k × s 1))/(number of frequency points ∑ (k × s1 × s 1)). Wherein, G2 is a possible expression form of the multi-frequency point model G. In other examples, for the case where there are multiple power-sharing groups, the entire net model Z2 may also be constructed in conjunction with the multi-frequency point model G2 for each power-sharing group. The concept of the whole network is similar to Z1, and for convenience of description, the description thereof is omitted. For example, the entire network model may be calculated by Z2 ═ Σ G2, or different power sharing groups have different priority coefficients j, or by Z2 ═ Σ j × G2.

In another example, if the optimization target is the amount of power consumed per hertz, for example, in a non-stand alone (NSA) scenario, the NR and LTE cells are common AAU cells, and power may be shared between different cells. In order to optimize the load balancing, part of the power of the LTE cell can therefore be used by the NR cell. The LTE cell is reduced in the coverage area after power is borrowed, and the power consumption of the LTE is slightly improved; for the NR cell, the coverage is improved, and the power consumption of the cell is also improved. But the whole power consumption is lower, so that the whole network is more energy-saving.

The multi-frequency point model can be constructed by firstly constructing a single-cell power consumption model L and then constructing a single-frequency point power consumption model L according to the multiple single-cell power consumption models L. And finally, constructing a multi-frequency point model G according to the power consumption models F of the single-frequency points and the priority coefficients k of the frequency points.

In one example, when constructing the single-cell power consumption model, the PRB utilization rate of each cell at the current power may be first calculated according to the transmit power information of each cell and the load-power function. Obviously, if the transmission power of each cell is changed, the PRB utilization of each cell is also changed accordingly. Obviously, the power of each cell changes, so the coverage area of each cell changes, and the number of grids assigned to the cell changes. The determination of the grid home serving cell may refer to the manner described in table 10, and is not described herein again. Then, a single-cell power consumption model is constructed, for example, by calculating the transmit power of the current cell (i.e., the PRB utilization rate of the current cell — the cell bandwidth) from l 1. Where l1 is one possible expression of the above single-cell power consumption model l. And then, constructing a single-frequency point power consumption model L, wherein it can be understood that the frequency points of each cell may be the same or different, and for the cells with the same frequency point, the single-frequency point power consumption model can be obtained by calculating according to L1 ═ Σ 1. L1 is a possible expression form of the above single-frequency-point power consumption model L. It can be understood that, for the power consumption model of a single frequency point in each power sharing group, if only one cell exists at the frequency point in the power sharing group, the power consumption model of the single frequency point is a power consumption model of the single cell; of course, if the frequency point in the power sharing group only has a plurality of cells, the single-frequency power consumption model is a multi-cell single-frequency power consumption model. And finally, combining the power consumption models of the single frequency points and the priority coefficients k of the frequency points to construct a multi-frequency-point model G3, which can be calculated through G3 ═ k ═ F2. Wherein, G3 is a possible expression form of the multi-frequency point model G. In other examples, for the case where there are multiple power-sharing groups, the entire net model Z3 may also be constructed in conjunction with the multi-frequency point model G3 for each power-sharing group. The concept of the whole network is similar to Z1, and for convenience of description, the description thereof is omitted. For example, the entire network model may be calculated by Z3 ═ Σ G3, or different power sharing groups have different priority coefficients j, or by Z3 ═ Σ j × G3.

And S1104, performing power allocation on a plurality of cells in the power sharing group according to preset configuration information and the multi-frequency point model.

The power allocation module 903 allocates the transmission power in each power sharing group according to preset configuration information and the multi-frequency-point model of each power sharing group constructed by the data processing module 902, for each power sharing group. It is understood that the allocated transmission power of each cell may be the whole maximum power of the power sharing group, or only a part of the power in the power sharing group may be allocated.

The preset configuration information may include maximum transmission power of different AAU models and power constraints corresponding to the different AAU models. The power constraint may include, among other things, a minimum transmit power and a power difference from the common AAU cell, such as shown in table 11.

AAU model	Maximum transmission power	Minimum transmit power (optional)	Range of power ratio
				AAAA	100W	20W	0.5～2
BBBB	500W	10W	0.5～2
				XXXX	320W	5W	0.5～4
…	…	…	…

TABLE 11

Where the power ratio range describes the ratio of the transmit power of a certain cell to the transmit power of other cells in the AAU. For example, the AAU model of the AAU connected to a cell is AAAA, the cell is assigned a transmit power of a W, and other cells sharing AAU with the cell have a transmit power of b W. The power ratio range defines the ratio between a and b, for example between 0.5 and 2, i.e. 0.5. ltoreq. a/b. ltoreq.2. Of course, the above numerical values are merely examples and are not intended to limit the present application.

In still other examples, the configuration information may further include coverage requirements of different frequency points, for example, the signal strength of different frequency points is greater than a signal strength threshold, and a signal-to-noise ratio (SNR) of different frequency points needs to be greater than a signal-to-interference plus noise ratio (SINR) threshold, and the like. Of course, the signal strength, the signal-to-noise ratio or the signal-to-interference-and-noise ratio of different frequency points may also be greater than or equal to the respective corresponding threshold, which is not limited herein. The signal strength may be represented by RSRP, but may be represented by other parameters in other examples. In one example, the coverage requirements for different frequency points may be as shown in table 12.

Frequency point	Signal strength	Signal-to-noise ratio (or SINR)
			F1	-100	-3
F2	-105	-2
			F3	-100	-3
…	…	…

TABLE 12

It can be understood that when the transmission power of the power sharing group is allocated, the requirements of each configuration information need to be met, and the requirements of the optimization target in the configuration information need to be reached.

In a possible implementation manner, an optimization algorithm may be adopted to solve an optimal solution of the multi-frequency-point model under the condition of power limitation of each cell in the power sharing group. The optimization algorithm may be a nonlinear optimization algorithm, a particle swarm algorithm, or a heuristic algorithm, and the like, which is not limited herein.

In one example, if the optimal power of each cell is calculated by using the example group algorithm, M particles need to be randomly generated first, and each example includes the random power allocated to a certain cell in the current power sharing group. Then, the fitness function of the M particles is calculated, and the particle with the best fitness is reserved. And updating the power allocation scheme of the power sharing group according to the power scheme contained in the most adaptive particle. And repeatedly calculating the fitness of the M particles until the fitness function is not promoted any more. And acquiring the power distribution scheme of each cell under each current frequency. The fitness function is calculated by the multi-frequency point model under different optimization targets given in S1103. Of course, if the overall optimization distribution is performed on a plurality of power sharing groups, the calculation can be performed through the whole network model, and the optimal solution under the model is finally obtained.

It should be noted by those skilled in the art that the configuration information referred to in the present application may be configured manually, or dynamically based on functions such as statistics, machine learning, or online, and may of course be configured in other equivalent manners, which is not limited herein.

And S1105, sending the distributed power to the base station corresponding to each cell.

And sending the optimal transmitting power of each cell in the power sharing group obtained by calculation in the step S1104 to the base station corresponding to each cell, so that each base station communicates with the corresponding cell at the power according to the corresponding transmitting power. In one example, a network management tool may be used for issuing, and in other examples, the optimal power information of each cell may also be manually issued to the base station corresponding to each cell.

For example, if the optimization target is to optimize the 5G throughput, after the optimal transmit power of each cell is calculated by the power allocation module 903, as shown in a schematic diagram of power allocation effect shown in fig. 13, the new transmit power of each cell is obtained through calculation, and when the mobile station passes through a certain area, after the grid of the area on the LTE side passes through reselection of the home serving cell, for example, a cell switched to FDD1800 is selected. Because the LTE cell and the NR cell share the AAU, and the LTE cell shares part of power to the NR cell for use, the grid is switched to a cell with higher signal-to-noise ratio or throughput rate in a home service cell at the LTE side. But it is possible for the NR cell in the area to remain camped on the original cell because it gets more power and the edge snr or sir is better than before the power change.

Since LTE cells share power with NR cells, the overall LTE base station density is higher than NR. When the adjustment of the NR power acquisition gain is limited, assuming that the NR side power adjustment priority is higher, since the remaining power of the power-limited LTE side is not always fully utilized, the NR can "borrow" power from LTE, so that on one hand, the gain of the NR throughput rate is improved, on the other hand, the interference on the LTE side can be reduced, and the perception on the LTE side is improved.

For example, if the optimization target is the load balancing degree, the remaining power on the LTE side is not used up, depending only on the NR side power adjustment. Therefore, by means of power borrowing, a multi-frequency point model or a whole network model in S1103 is used for calculation, and an optimal solution is obtained. The load of the whole network at each frequency point is more balanced, and the service quality experience of the user in each cell is more stable.

For another example, if the optimization target is the amount of power consumed by a single hz, energy is currently saved only within a single frequency point, and cooperation before multiple frequency points is not utilized. Therefore, calculation can be performed through the multi-frequency point model or the whole network model in S1103, and an optimal solution is obtained. By coordinating the power and the load among a plurality of frequency points, the whole system is more energy-saving, more electric charges can be saved for operators, and meanwhile, the system is more environment-friendly and is beneficial to energy conservation and emission reduction.

The method comprises the steps of collecting parameter information of each cell in the plurality of cells, and dividing the plurality of cells into at least one power sharing group according to power sharing group information in the parameter information. And aiming at each power sharing group, constructing a multi-frequency point model according to the MR, the transmitting power information and the load information of each cell in the power sharing group. And distributing the transmitting power of the power sharing group according to the multi-frequency point model and preset configuration information to obtain the transmitting power of each cell in the power sharing group. And then transmitting the transmitting power of each cell to the base station of the corresponding cell. The power of various systems can be cooperatively optimized, and the overall spectral efficiency, energy conservation and load balance of the system are ensured to be optimal.

Fig. 14 is a schematic diagram of a VM migration apparatus according to an embodiment of the present application.

As shown in fig. 14, a power distribution apparatus 1400 is provided, the apparatus 1400 may include a processor 1401, a memory 1402, a receiver 1403, a transmitter 1404, and a bus 1405. The processor 1401, memory 1402, receiver 1403, transmitter 1404 in the device 1400 may establish a communication connection over the bus 1405. The receiver 1403 is used for receiving external information; the transmitter 1404 is for transmitting information to the outside.

Processor 1401 may be a Central Processing Unit (CPU).

Memory 1402 may include volatile memory (volatile memory), such as random-access memory (RAM); the memory 1402 may also include a non-volatile memory (english: non-volatile memory), such as a read-only memory (ROM), a flash memory, a Hard Disk Drive (HDD) or a Solid State Drive (SSD); memory 1402 may also include a combination of the above types of memory.

A receiver 1403, configured to acquire parameter information of each of multiple cells, where the parameter information includes: the measurement report MR, the transmission power information, the load information and the power sharing group information, wherein each cell corresponds to one frequency point, and one frequency point corresponds to one or more cells.

A processor 1401 for coupling with the memory 1402, and reading and executing instructions in the memory 1402; the instructions are executed when processor 1401 is run, such that processor 1401 is further configured to: dividing the plurality of cells into at least one power sharing group according to the power sharing group information, wherein power sharing among the cells in the power sharing group is realized; aiming at each power sharing group, constructing a multi-frequency point model of the power sharing group according to the MR, the transmitting power information and the load information of each cell in the power sharing group; and distributing the transmitting power of the power sharing group according to the multi-frequency point model and preset configuration information to obtain the transmitting power of each cell in the power sharing group.

A transmitter 1404, configured to transmit the transmission power allocated to each cell to the base station of the corresponding cell.

In one possible implementation, the processor 1401 is further configured to: dividing the area of each cell in the power sharing group into a plurality of grids; determining a load-power function of each cell according to the load information, the transmitting power information and the coverage area information of each cell, wherein the coverage area information is determined according to the grid; determining path loss information from the grid to each cell according to the MR and the transmitting power information of each cell; aiming at each grid, determining a home service cell of the grid according to the transmitting power information of each cell and the path loss information from the grid to each cell; and constructing the multi-frequency point model of the power sharing group according to the MR and the load-power function of the home service cell.

In one possible embodiment, the MR includes reference signal received power, RSRP, information for indicating the signal strength of the cell; processor 1401 is further configured to: determining X cells covering the grids for each grid, wherein X is a positive integer and is less than or equal to the number of the acquired cells; and determining the path loss information from the grid to each cell in the X cells according to the RSRP information and the transmitting power information of each cell in the X cells.

In one possible implementation, the processor 1401 is further configured to: determining the changed RSRP information of each cell in the X cells according to the changed transmitting power information and the path loss information from the grid to each cell; and determining one cell in the X cells as a home service cell of the grid according to the changed RSRP information of each cell.

In one possible embodiment, the parameter information further includes signal-to-noise ratio information; processor 1401 is further configured to: and determining one cell in the X cells as a home service cell of the grid according to the changed RSRP information and the signal-to-noise ratio information of each cell.

In one possible implementation, the processor 1401 is further configured to: aiming at each frequency point of each grid, constructing a single-grid single-frequency point model according to the MR of the attributive service cell of the grid, the MR of the adjacent cell of the attributive service cell and a load-power function of the attributive service cell of the grid; constructing a single-grid multi-frequency point model according to each single-grid single-frequency point model of the same grid; and constructing the multi-frequency point model of the power sharing group according to the single-grid multi-frequency point model of each grid.

In one possible embodiment, the parameter information further includes: cell frequency point information; processor 1401 is further configured to: constructing a single-frequency point model according to a load-power function and frequency point information of a home service cell; and constructing the multi-frequency point model of the power sharing group according to the single-frequency point model and preset configuration information.

In one possible embodiment, the parameter information further includes: cell frequency point information and cell bandwidth information; processor 1401 is further configured to: aiming at each home service cell, constructing a single-cell power consumption model according to a load-power function, transmission power information and cell bandwidth information of the home service cell; constructing a single-frequency point power consumption model according to the cell frequency point information and the single-cell power consumption model; and constructing the multi-frequency point model of the power sharing group according to the single-frequency point power consumption model and preset configuration information.

In one possible implementation, the processor 1401 is further configured to: constructing a whole network model according to the multi-frequency point model of each power sharing group; distributing the transmitting power of each power sharing group according to the whole network model and the configuration information to obtain the transmitting power of each cell in each power sharing group; the transmitter 1404 is further configured to transmit the transmission power of each cell to the base station of the corresponding cell.

In one possible embodiment, the receiver 1403 is also used for acquiring the power sharing group information by the base station.

In a possible embodiment, the parameter information further includes a connection relationship between the baseband processing unit BBU and the AAU, and the MR includes latitude and longitude information; the processor 1401 is further configured to obtain power sharing group information according to the longitude and latitude information in the MR and the connection relationship between the BBU and the AAU.

It will be further appreciated by those of ordinary skill in the art that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, and the program may be stored in a computer-readable storage medium, where the storage medium is a non-transitory medium, such as a random access memory, a read only memory, a flash memory, a hard disk, a solid state disk, a magnetic tape (magnetic tape), a floppy disk (floppy disk), an optical disk (optical disk), and any combination thereof.

The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method of power allocation, the method comprising:

acquiring parameter information of each cell in a plurality of cells, wherein the parameter information comprises: the method comprises the steps that a measurement report MR, transmission power information, load information and power sharing group information are obtained, wherein each cell corresponds to a frequency point;

dividing the plurality of cells into at least one power sharing group according to the power sharing group information, wherein power sharing among the cells in the power sharing group is realized;

aiming at each power sharing group, constructing a multi-frequency point model of the power sharing group according to the MR, the transmitting power information and the load information of each cell in the power sharing group;

distributing the transmitting power of the power sharing group according to the multi-frequency point model and preset configuration information to obtain the transmitting power of each cell in the power sharing group;

and transmitting the transmitting power distributed to each cell to a base station of a corresponding cell.

2. The method of claim 1, wherein the constructing the multi-frequency point model of the power-sharing group according to the MR, the transmit power information, and the load information of each cell in the power-sharing group comprises:

dividing the area of each cell in the power sharing group into a plurality of grids;

determining a load-power function of each cell according to the load information, the transmission power information and coverage area information of each cell, wherein the coverage area information is determined according to the grid;

determining path loss information from the grid to each cell according to the MR and the transmission power information of each cell;

for each grid, determining a home service cell of the grid according to the transmitting power information of each cell and the path loss information from the grid to each cell;

and constructing a multi-frequency point model of the power sharing group according to the MR of the home service cell and the load-power function.

3. The method of claim 2, wherein the MR comprises reference signal received power, RSRP, information for representing signal strength of a cell; the determining, according to the MR and the transmission power information of each cell, the path loss information from the grid to each cell includes:

determining X cells covering the grids for each grid, wherein X is a positive integer and is less than or equal to the number of acquired cells;

and determining the path loss information from the grid to each cell in the X cells according to the RSRP information and the transmitting power information of each cell in the X cells.

4. The method of claim 3, wherein said determining a home serving cell for each of said grids based on said changed transmit power information and said grid-to-cell path loss information comprises:

determining the changed RSRP information of each cell in the X cells according to the changed transmitting power information and the path loss information from the grid to each cell;

and determining one cell in the X cells as the home service cell of the grid according to the changed RSRP information of each cell.

5. The method of any of claims 2-4, wherein the constructing the multi-frequency point model of the power-sharing group according to the MR and the load-power function of each home serving cell comprises:

aiming at each frequency point of each grid, constructing a single-grid single-frequency point model according to the MR of the attributive service cell of the grid, the MR of the adjacent cell of the attributive service cell and the load-power function of the attributive service cell of the grid;

constructing a single-grid multi-frequency point model according to each single-grid single-frequency point model of the same grid;

and constructing the multi-frequency point model of the power sharing group according to the single-grid multi-frequency point model of each grid.

6. The method of any of claims 2-4, wherein the parameter information further comprises: cell frequency point information; the constructing a multi-frequency point model of the power sharing group according to the MR and the load-power function of each home serving cell includes:

constructing a single-frequency point model according to the load-power function and the frequency point information of the home service cell;

and constructing the multi-frequency point model of the power sharing group according to the single-frequency point model and preset configuration information.

7. The method of any of claims 2-4, wherein the parameter information further comprises: cell frequency point information and cell bandwidth information; the constructing a multi-frequency point model of the power sharing group according to the MR and the load-power function of each home serving cell includes:

aiming at each home service cell, constructing a single-cell power consumption model according to the load-power function, the transmitting power information and the cell bandwidth information of the home service cell;

constructing a single frequency point power consumption model according to the cell frequency point information and the single cell power consumption model;

and constructing the multi-frequency point model of the power sharing group according to the single-frequency point power consumption model and preset configuration information.

8. The method of any one of claims 1-7, wherein the method further comprises:

constructing a whole network model according to the multi-frequency point model of each power sharing group;

distributing the transmitting power of each power sharing group according to the whole network model and the configuration information to obtain the transmitting power of each cell in each power sharing group;

and transmitting the transmitting power of each cell to a base station of a corresponding cell.

9. The method of claim 1, wherein the method further comprises:

and acquiring the power sharing group information through a base station.

10. The method of claim 1, wherein the parameter information further includes a connection relationship between a baseband processing unit (BBU) and an AAU, and the MR includes latitude and longitude information; the method further comprises the following steps:

and acquiring the power sharing group information according to the longitude and latitude information in the MR and the connection relation between the BBU and the AAU.

11. A power distribution apparatus, the apparatus comprising:

a receiver configured to acquire parameter information of each of a plurality of cells, where the parameter information includes: the method comprises the steps that a measurement report MR, transmission power information, load information and power sharing group information are obtained, wherein each cell corresponds to a frequency point;

a processor coupled to the memory and reading and executing instructions in the memory;

executing the instructions when executed by the processor, causing the processor to further:

and the transmitter is used for transmitting the transmitting power distributed to each cell to the base station of the corresponding cell.

12. The apparatus of claim 11, wherein the processor is further configured to:

13. The apparatus of claim 12, wherein the MR comprises reference signal received power, RSRP, information representing signal strength of a cell; the processor is further configured to:

14. The apparatus of claim 13, wherein the processor is further configured to:

15. The apparatus of any of claims 12-14, wherein the processor is further configured to:

16. The apparatus of any of claims 12-14, wherein the parameter information further comprises: cell frequency point information; the processor is further configured to:

aiming at each frequency point, constructing a single-frequency point model according to the load-power function and the frequency point information of the home serving cell;

17. The apparatus of any of claims 12-14, wherein the parameter information further comprises: cell frequency point information and cell bandwidth information; the processor is further configured to:

18. The apparatus of any of claims 11-17, wherein the processor is further configured to:

the transmitter is further configured to send the transmission power of each cell to the base station of the corresponding cell.

19. The apparatus of claim 11, wherein the receiver is further for obtaining the power-sharing group information by a base station.

20. The apparatus of claim 11, wherein the parameter information further includes a connection relationship between a baseband processing unit BBU and an AAU, and the MR includes latitude and longitude information; the processor is further configured to acquire the power sharing group information according to the longitude and latitude information in the MR and the connection relationship between the BBU and the AAU.

21. A computer-readable storage medium having instructions stored thereon, which, when run on a terminal, cause the terminal to perform the method of any one of claims 1-10.

22. A computer program device comprising instructions which, when run on a terminal, cause the terminal to perform the method of any one of claims 1-10.