CN114258072B - Interference scene power self-adaptive shrinkage starting method and system - Google Patents
Interference scene power self-adaptive shrinkage starting method and system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/241—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
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Abstract
The embodiment of the application discloses a method and a system for adaptively shrinking and starting interference scene power, which are used for migrating severely interfered cells to SINR gain estimation of other cells after shrinking power is carried out on edge users from the occurrence of atmospheric waveguide interference, obtaining the optimal shrinking power through voting and weighting of the edge users, shunting the edge users to other different frequency band cells with better perception or cells with better frequency band, improving user experience, reducing user complaints, considering both the edge users and the good point user perception, seeking balance points of the edge users and the good point user perception, and greatly improving the prior working mode.
Description
[ field of technology ]
The application relates to the technical field of power self-adaptive contraction, in particular to an interference scene power self-adaptive contraction starting method and system.
[ background Art ]
With the large-scale construction of LTE (Long Term Evolution ) networks, chinese mobile 4G (the 4th generation mobile communication technology, fourth generation mobile communication technology) users are growing in bursts. The interference factors of the TD-LTE (Time Division Long Term Evolution, time-sharing long-term evolution) network are more and more, wherein the interference with the widest influence range and the greatest processing difficulty is atmospheric waveguide interference, the problem of atmospheric waveguide interference is effectively avoided and solved, the problem of wireless communication development is solved, the influence of atmospheric waveguide on the interference of cell edge users is relatively large, the edge users possibly cannot make calls, cannot get on the network, the user perception is influenced, and the part of users can be migrated to other standard networks, so that the user perception is improved. In this context, an automatic power shrink function is proposed when the atmospheric waveguide interferes with cells, so that edges perceived poorly in the atmospheric waveguide scenario reside in other affected smaller cells.
The Chinese patent with the application number of CN201380003880.1 is a cooperative multi-cell scheduling method and device, which implements and provides a cooperative multi-cell scheduling method and device, wherein the centralized controller comprises: a determining unit (11) configured to determine a power allocation pattern of each cell on a time-frequency resource in a cooperation set including at least two cells, where a transmitting power of each cell indicated by the power allocation pattern of each cell on the time-frequency resource maximizes a network utility total value of the cooperation set; and a transmitting unit (12) configured to transmit a power allocation pattern indication message to a base station controlling a cell in the coordination set, so that the base station adjusts a modulation and coding scheme (MCS, modulation and Coding Scheme) of the first cell on a time-frequency resource according to interference generated by the N co-frequency neighbor cells of the first cell to a User Equipment (UE) of the first cell when the N co-frequency neighbor cells use the downlink transmission power determined by the determining unit (11). The method and the device have the advantages that the network utility total value of the cooperation set is maximum when the downlink transmitting power of each cell determined by the base station is adopted, so that the data transmission rate and the network throughput are improved. The scheme mainly guarantees the maximum value of the network spectrum efficiency, and does not consider the perception of edge users.
The application number is: the chinese patent of CN200510104836.7, "method and apparatus for adaptive power adjustment based on reducing DSL line crosstalk", provides a method and apparatus for adaptive power adjustment based on reducing DSL (Digital Subscriber Line ) line crosstalk. The application mainly comprises the following steps: firstly, calculating crosstalk power spectral density of adjacent lines to the line and estimating a crosstalk function; and then, according to the crosstalk power spectral density and the crosstalk function obtained by calculation, determining the transmitting power spectral density of the local terminal equipment, and controlling the transmitting power by the local terminal equipment according to the transmitting power spectral density. The method for adjusting the self-adaptive power of the application enhances or reduces the transmitting power, reduces the adverse effect caused by crosstalk between xDSL (x Digital Subscriber Line ) lines, eliminates or fully reduces the serious effect of crosstalk in a far-end application scene, and ensures that the lines reach the optimal working state. This solution is not suitable for the field of wireless communication.
In a TDD (Time Division Duplexing, time division duplex) wireless communication system, under certain specific weather, topography and environmental conditions, the transmission of wireless signals can form an atmospheric waveguide effect, and the downlink signal of a remote base station still has larger strength after long-distance transmission, so that interference is generated on the uplink time slot receiving signal of a local base station, the time generated by the atmospheric waveguide interference has no obvious regularity, the manual monitoring and adjustment difficulty is high, and the efficiency is lower.
[ application ]
In view of the above, the embodiments of the present application provide a method and a system for adaptive power shrink starting in an interference scenario, which are used for solving the technical problem in the prior art that a remote base station is easily interfered by an atmospheric waveguide after long-distance signal transmission, so that a local base station generates interference when receiving a signal.
In a first aspect, an embodiment of the present application provides an interference scenario power adaptive shrink starting method, where the method includes: detecting the external interference condition of the cell users; screening out edge users from the cell users; and calculating the optimal value of the power parameter of the edge user.
In a preferred embodiment, the step of detecting an external interference situation of a cell user comprises: judging whether the cell users are interfered by the outside or not; if the cell users are interfered by the outside, executing the step of screening the edge users from the cell users; if the cell user is not interfered by the outside, the setting of the initial power parameter of the cell user is kept unchanged.
In a preferred embodiment, the step of screening out edge users among the cell users includes: based on the measurement report of the cell user, statistically analyzing the distribution condition of the accumulated distribution function of the cell; acquiring an edge level threshold value of the cell according to the distribution condition of the accumulated distribution function of the cell; and selecting the edge users with the receiving level smaller than the edge level threshold value from the cell users.
In a preferred embodiment, the step of screening out edge users among the cell users includes: presetting a level value; and selecting edge users with the receiving level smaller than the level value from the cell users.
In a preferred embodiment, the step of calculating an optimal value of a power parameter of the edge user comprises: calculating the level gain Rc of the self-adaptive power-reduction rear edge user; acquiring the interference condition of a neighboring cell of a cell where an edge user is located, and obtaining an interference gain Ic based on the strongest interference condition of the neighboring cell and the current interference condition of the edge user; based on the level gain Rc and the interference gain Ic, the signal-to-noise ratio gain SINR of the edge user can be obtained; and traversing the power gain RSy of the edge user to obtain the maximum value of the profit sum SINRC of the edge user, and taking RSy corresponding to the maximum value of the profit sum SINRC as the optimal value of the power parameter of the edge user.
In a preferred embodiment, the power gain RSy includes a signal-to-noise ratio gain and a load gain, satisfying power gain = signal-to-noise ratio gain x load gain.
In a preferred embodiment, the load gain is a ratio of the strongest neighbor cell physical resource block utilization to the cell physical resource block utilization.
In a second aspect, an embodiment of the present application provides an interference scenario power adaptive shrink start system, where the system includes: the detection module is used for detecting the external interference condition of the cell users; the selecting module is used for screening out edge users from the cell users; and the calculating module is used for calculating the optimal value of the power parameter of the edge user.
In a third aspect, an embodiment of the present application provides a base station, including: a memory and a processor; the memory is used for storing codes of an interference scene power self-adaptive shrink starting method; the processor is configured to execute the code stored in the memory, so that the base station performs the method according to the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, comprising a program or instructions which, when run on a computer, perform a method as described in the first aspect.
Compared with the prior art, the technical scheme has at least the following beneficial effects:
according to the interference scene power self-adaptive shrinkage starting method and system disclosed by the embodiment of the application, from the occurrence of atmospheric waveguide interference, after the severely interfered cells carry out shrinkage power on edge users, the severely interfered cells are transferred to SINR gain estimation of other cells, the best shrinkage power is obtained through voting weighting of the edge users, and the edge users can be shunted to other different-frequency-band cells with better perception or cells with better frequency band, so that user experience is improved, user complaints are reduced, both the edge users and the good-point user perception are not lost, balance points of the edge users and the good-point users are sought, and the method is greatly improved compared with the prior working mode.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic step diagram of an interference scenario power adaptive shrink start method according to embodiment 1 of the present application;
fig. 2 is a flowchart of a step of detecting an external interference situation of a cell user in the interference scenario power adaptive shrink start method provided in embodiment 1 of the present application;
fig. 3 is a flowchart of a first method in a step of screening edge users from cell users in the interference scenario power adaptive shrink start method provided in embodiment 1 of the present application;
fig. 4 is a flowchart of a second method in the step of screening out edge users from cell users in the interference scenario power adaptive shrink start method provided in embodiment 1 of the present application;
fig. 5 is a flowchart of the step of calculating the optimal value of the power parameter of the edge user in the interference scenario power adaptive shrink start method provided in embodiment 1 of the present application;
fig. 6 is a schematic block diagram of an interference scenario power adaptive shrink start system according to embodiment 2 of the present application.
Reference numerals:
1-a detection module; 2-a selection module; 3-a calculation module.
[ detailed description ] of the application
For a better understanding of the technical solution of the present application, the following detailed description of the embodiments of the present application refers to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
As shown in fig. 1, embodiment 1 of the application discloses an interference scene power adaptive contraction starting method, which aims to solve the technical problem that a local base station generates interference when receiving signals due to the fact that a remote base station is easy to be interfered by an atmospheric waveguide after long-distance signal transmission in the prior art.
The method comprises the following steps:
step100: interference scenario power adaptive puncturing begins.
Step200: and detecting the external interference condition of the cell users.
In Step200, when detecting that the cell user is interfered by the outside, the edge user is screened to calculate the optimal value of the power parameter, and if not detecting that the cell user is interfered by the outside, the setting of the initial power parameter of the cell user is kept unchanged. As shown in fig. 2, step200 includes:
step201: and judging whether the cell users are interfered by the outside. If the cell user is interfered externally, executing Step300; if the cell user is not subject to external interference, step202 is performed.
Step202: the setting of the initial power parameters of the cell users is kept unchanged.
Step300: and screening out the edge users from the cell users.
In general, the edge users perceive worst when the atmospheric waveguide interferes, so in Step300, there may be two methods for deciding the edge users among the cell users, the first is to use a relative value algorithm, which includes the following steps, as shown in fig. 3:
step301: based on the measurement report of the cell user, the distribution condition of the accumulated distribution function of the cell is statistically analyzed.
In this Step301, the base station statistically analyzes the CDF distribution (cumulative distribution function ) of the cell RSRP (Reference Signal Receiving Power, reference signal received power) based on the MR (Measurement Report ).
Step302: and obtaining the edge level threshold value of the cell according to the distribution condition of the accumulated distribution function of the cell.
In Step302, the base station sets RSRP (X is the set edge user ratio) corresponding to the X% point of the CDF distribution as the edge user reception level, sets X to 10, and counts the lowest 10% level threshold in the cell MR as the edge level threshold.
Step303: and selecting the edge users with the receiving level smaller than the edge level threshold value from the cell users.
In this Step303, the base station marks users with RSRP below the edge level threshold as edge users.
The second is to use an absolute level value algorithm, i.e. the level value below a certain threshold is noted as an edge user, which comprises the following steps, as shown in fig. 4:
step301': a level value is preset.
Step302': and selecting edge users with the receiving level smaller than the level value from the cell users.
When steps Step301 'and Step302' are executed, power cannot be reduced too much during power adjustment, and all users are shared to other cells, so that only how to reach the maximum gain of the edge users during self-adaptive power reduction is calculated, the gain of all users is not calculated, and the calculation amount is reduced.
Step400: an optimal value of the power parameter of the edge user is calculated. Then, the process returns to Step200 to continue the interference decision.
When the interference level of the cell exceeds a threshold, for example, the interference level > -105, the parameter set with the highest gain is selected by traversing the power parameters RSy and customizing the shrink power parameter set {1dBm,2dBm … dBm }, and the cell with the better SINR (Signal to Interference plus Noise Ratio ) is migrated from the edge user cell meeting the condition, so as to obtain better perception.
As shown in fig. 5, the specific implementation procedure is as follows:
step401: the level gain Rc of the adaptive power-down trailing edge user is calculated.
In Step401, the level gain of the edge user is obtained by the strongest neighbor in the MR reported by the edge user, the downlink level gain is RSn (strongest neighbor) -RSs (power shrinkage value), and the level gain is effective only when RSs-RSy is smaller than RSn (otherwise, the edge user still resides in the source cell at this time, the level gain is-RSy), and the uplink level gain of the edge user is rc=rsn-RSs because the uplink and downlink path losses are substantially consistent.
Step402: and acquiring the interference condition of the neighboring cell of the cell where the edge user is located, and obtaining the interference gain Ic based on the interference condition of the strongest neighboring cell and the current interference condition of the edge user.
In Step402, the interference situation of the neighboring cell of the edge user Is obtained through the interaction information of the X2 interface (the X2 interface Is an interconnection interface between e-nodebs and supports direct transmission of data and signaling), the interference level gain Is the strongest neighboring cell interference situation minus the current interference situation, i.e., ic (interference gain) =in (neighboring cell interference situation) -Is (own cell interference situation), and only takes effect when RSs-RSy < RSn, otherwise, the interference gain value Is li 0.
Step403: based on the level gain Rc and the interference gain Ic, the signal-to-noise ratio gain SINR of the edge user can be obtained.
In Step403, the interference gain Is subtracted from the level gain to determine that the SINR gain Is SINRc, sinrc=rc-ic=rsn-RSs-in+is. Where RSy Is the shrink power parameter, RSs Is the serving cell level, RSn Is the strongest neighbor cell level, is the serving cell interference, and In Is the strongest neighbor cell interference.
Step404: and traversing the power gain RSy of the edge user to obtain the maximum value of the profit sum SINRC of the edge user, and taking RSy corresponding to the maximum value of the profit sum SINRC as the optimal value of the power parameter of the edge user.
In Step404, the sum of total profit SINRc values (sinrc1+sinrc2+isinrcn) is obtained by traversing the power parameters RSy of the edge user to obtain the power parameter RSy of the edge user as the optimal value of the adaptive power adjustment algorithm.
Specifically, as shown in table 1, when the adaptive power is selected to shrink by 2db, the SINR gain (level gain-interference gain) of the edge user is 6, -2, all the edge user gains are 6+ -2+ -2, the gain is 0, when the adaptive power is selected to shrink by 6db, the SINR (signal to noise ratio) gain is 6+ -2+2+3=9, at this time, the shrink power 6db is selected as the adaptive adjustment scheme, and if the traversing parameter set has no gain greater than zero, the situation is kept unchanged.
TABLE 1
Wherein the power gain RSy includes a signal-to-noise ratio gain and a load gain, satisfying the power gain = signal-to-noise ratio gain x load gain. And the load gain is the ratio of the utilization rate of the physical resource block of the strongest neighbor cell to the utilization rate of the physical resource block of the cell. In the interference scenario, considering that the load is also an important factor affecting the transmission efficiency, when calculating the power parameter RSy, calculating the power gain=signal-to-noise ratio gain (wireless environment) ×load gain is more accurate, wherein the load gain=the utilization rate of the strongest neighbor cell PRB (physical resource block)/the utilization rate of the own cell PRB, when the RSs-RSy is smaller than the RSn, otherwise, the edge user remains in the source cell, the load gain is 1, and remains unchanged, and the sum of the total gain comprehensive gain values (edge user 1 comprehensive gain+edge user 2 comprehensive gain+edge user n comprehensive gain) is maximum when traversing RSy, so as to obtain the RSy value as the optimal value of the adaptive power adjustment algorithm.
Example 2
As shown in fig. 6, in embodiment 2 of the present application, an interference scenario power adaptive shrink start system is disclosed, the system includes: the detection module 1 is used for detecting the external interference condition of the cell users; a selection module 2, configured to screen out edge users from cell users; a calculating module 3, configured to calculate an optimal value of the power parameter of the edge user.
Example 3
The embodiment 3 of the present application also provides a base station, including: memory and processor:
the memory is used for storing codes of the interference scene power self-adaptive shrink starting method;
and the processor is used for executing codes stored in the memory so as to enable the base station to execute the interference scene power self-adaptive shrink starting method disclosed in the embodiment 1 of the application.
Example 4
Embodiment 4 of the present application provides a computer-readable storage medium including a program or instructions which, when executed on a computer, performs the interference scenario power adaptive shrink starting method of embodiment 1 of the present application.
According to the interference scene power self-adaptive shrink starting method and system disclosed by the embodiments 1 to 4, after the interference serious cell generates the interference of the atmospheric wave guide, the interference serious cell shifts to other cell SINR gain estimation after the edge user contracts the power, the edge user votes and weights to obtain the optimal contraction power, and the edge user can be shunted to other different frequency band cells with better perception or cells with better frequency band, so that the user experience is improved, the user complaint is reduced, the edge user is not only considered, but also the good point user perception is not lost, and the balance point of the edge user and the good point user is sought, so that the method and system have great improvement compared with the prior working mode.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a high-density digital video disc (Digital Video Disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the application.
Claims (9)
1. An interference scenario power adaptive shrink turn-on method, the method comprising:
detecting the external interference condition of the cell users;
screening out edge users from the cell users;
calculating an optimal value of the power parameter of the edge user;
wherein the step of calculating the optimal value of the power parameter of the edge user comprises:
calculating the level gain Rc of the self-adaptive power-reduction rear edge user;
acquiring the interference condition of a neighboring cell of a cell where an edge user is located, and obtaining an interference gain Ic based on the strongest interference condition of the neighboring cell and the current interference condition of the edge user;
based on the level gain Rc and the interference gain Ic, the signal-to-noise ratio gain SINR of the edge user can be obtained, the signal-to-noise ratio gain SINR of the edge user is judged to be the gain sum SINRc of the edge user by subtracting the interference gain Ic from the level gain Rc;
and traversing the power gain RSy of the edge user to obtain the maximum value of the profit sum SINRC of the edge user, and taking RSy corresponding to the maximum value of the profit sum SINRC as the optimal value of the power parameter of the edge user.
2. The interference scenario power adaptive shrink start method according to claim 1, wherein the step of detecting an external interference situation of a cell user comprises:
judging whether the cell users are interfered by the outside or not;
if the cell users are interfered by the outside, executing the step of screening the edge users from the cell users;
if the cell user is not interfered by the outside, the setting of the initial power parameter of the cell user is kept unchanged.
3. The interference scenario power adaptive shrink starting method according to claim 1, wherein the step of screening out edge users among the cell users comprises:
based on the measurement report of the cell user, statistically analyzing the distribution condition of the accumulated distribution function of the cell;
acquiring an edge level threshold value of the cell according to the distribution condition of the accumulated distribution function of the cell;
and selecting the edge users with the receiving level smaller than the edge level threshold value from the cell users.
4. The interference scenario power adaptive shrink starting method according to claim 1, wherein the step of screening out edge users among the cell users comprises:
presetting a level value;
and selecting edge users with the receiving level smaller than the level value from the cell users.
5. The interference scenario power adaptive shrink turn-on method of claim 1, wherein the power gain RSy comprises a signal-to-noise ratio gain and a load gain, satisfying power gain = signal-to-noise ratio gain x load gain.
6. The method of claim 5, wherein the load gain is a ratio of the strongest neighbor cell physical resource block utilization to the cell physical resource block utilization.
7. An interference scenario power adaptive shrink gating system, the system comprising:
the detection module is used for detecting the external interference condition of the cell users;
the selecting module is used for screening out edge users from the cell users;
the computing module is used for computing the optimal value of the power parameter of the edge user;
wherein the step of calculating the optimal value of the power parameter of the edge user comprises:
calculating the level gain Rc of the self-adaptive power-reduction rear edge user;
acquiring the interference condition of a neighboring cell of a cell where an edge user is located, and obtaining an interference gain Ic based on the strongest interference condition of the neighboring cell and the current interference condition of the edge user;
based on the level gain Rc and the interference gain Ic, the signal-to-noise ratio gain SINR of the edge user can be obtained, the signal-to-noise ratio gain SINR of the edge user is judged to be the gain sum SINRc of the edge user by subtracting the interference gain Ic from the level gain Rc;
and traversing the power gain RSy of the edge user to obtain the maximum value of the profit sum SINRC of the edge user, and taking RSy corresponding to the maximum value of the profit sum SINRC as the optimal value of the power parameter of the edge user.
8. A base station, comprising: a memory and a processor;
the memory is used for storing codes of an interference scene power self-adaptive shrink starting method;
the processor configured to execute code stored in the memory to cause the base station to perform the method of any one of claims 1 to 6.
9. A computer readable storage medium comprising a program or instructions which, when run on a computer, performs the method of any one of claims 1 to 6.
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| "5G超密集组网的功率分配和叠加传输";刘蓓;《中国优秀博硕士学位论文全文数据库（硕士）》;全文 * |
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|---|---|
| CN114258072A (en) | 2022-03-29 |
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