CN110784894A - LTE system load balancing method and device - Google Patents
LTE system load balancing method and device Download PDFInfo
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- CN110784894A CN110784894A CN201810856865.6A CN201810856865A CN110784894A CN 110784894 A CN110784894 A CN 110784894A CN 201810856865 A CN201810856865 A CN 201810856865A CN 110784894 A CN110784894 A CN 110784894A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/16—Performing reselection for specific purposes
- H04W36/22—Performing reselection for specific purposes for handling the traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The embodiment of the invention provides a method and a device for balancing loads of an LTE (Long term evolution) system. The method comprises the following steps: when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal; and carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal. According to the embodiment of the invention, the optimal balance based on user perception can be realized by carrying out differentiated load balance on the terminals of different user types.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a method and a device for balancing loads of an LTE (Long term evolution) system.
Background
With the development of LTE networks, the LTE networks become increasingly complex, and the introduction of multi-layer networking and heterogeneous networking brings some important technical challenges. For example, the load of cells is unbalanced due to the change of the network structure, so that a part of cells are overloaded and even generate data congestion, and another part of cells are relatively idle and are lightly loaded. Therefore, the problem of load balancing among multiple carriers is particularly important.
The existing load balancing method generally transfers part of user equipment of a high-load cell to a low-load cell based on the number of users or the utilization rate of PRB, reduces the load of the high-load cell, and thus balances the traffic distribution among the cells.
However, the influence of sensing network load by users at different positions is different, and the simple load balancing based on the number of users or the utilization rate of the PRB cannot achieve the optimal balancing of various user senses, so how to achieve the optimal load balancing of different users becomes a problem to be solved urgently.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a method and a device for balancing the load of an LTE system.
In one aspect, an embodiment of the present invention provides a method for load balancing of an LTE system, where the method includes:
when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal;
and carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal.
In another aspect, an embodiment of the present invention provides an LTE system load balancing apparatus, where the apparatus includes:
the judging unit is used for judging the user type of the terminal according to the RSRP and SINR under the current cell reported by the terminal when the load of the current cell is overloaded;
and the processing unit is used for carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal.
On the other hand, the embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the program to implement the steps of the method for load balancing in the LTE system as described above.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for load balancing of an LTE system as described above.
According to the embodiment of the invention, the optimal balance based on user perception can be realized by carrying out differentiated load balance on the terminals of different user types.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a load balancing method for an LTE system according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for obtaining load information of a target cell according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an LTE system load balancing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 shows a flowchart of an LTE system load balancing method according to an embodiment of the present invention.
As shown in fig. 1, the method for balancing the load of the LTE system according to the embodiment of the present invention specifically includes the following steps:
s11, when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal;
specifically, when the LTE network load (PRB utilization, transmission resource load, hardware resource load, cell capacity) is overloaded, the user type is determined according to the performance indexes of Reference Signal Receiving Power (RSRP) and Signal to Interference plus Noise Ratio (SINR) of the local cell reported by the terminal.
And S12, carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal.
Specifically, different user-aware network load overload indicators are different, for example, an indicator of the user-aware network overload at the center of a cell is a rate, and an indicator of the user-aware network overload at the edge of the cell is whether the cell is covered, so that different load balancing can be performed for different user perceptions to more reasonably balance network loads.
According to the embodiment of the invention, the optimal balance based on user perception can be realized by carrying out differentiated load balance on the terminals of different user types.
Specifically, the user types include a center user, an edge user, and a general user.
On the basis of the foregoing embodiment, S11 specifically includes:
when the RSRP reported by the terminal meets a first value range and the SINR meets a second value range, the user type of the terminal is a central user;
when the RSRP reported by the terminal meets a third value range and the SINR meets a fourth value range, the user type of the terminal is a common user;
and when the RSRP reported by the terminal meets a fifth value range and the SINR meets a sixth value range, the user type of the terminal is an edge user.
According to the embodiment of the invention, users in a cell are divided into three user types, namely a central user, an edge user and a common user according to user positions, and a differentiated judgment threshold is formulated according to RSRP and SINR parameters of the cell reported by a terminal so as to identify the type of the accessed terminal.
Specifically, the differentiated user identification decision threshold is as follows:
and a decision threshold one: RSRP > is-95 dBm, SINR > is 12;
and a second judgment threshold: RSRP [ -105, -95) dBm, SINR [ -4, 12);
and a decision threshold is three: RSRP [ -115, -105) dBm, SINR < 4.
The terminal collects and reports the RSRP and SINR of the cell, the base station eNodeB judges the type of the accessed UE according to the differentiated user identification judgment threshold, wherein the terminal meeting the threshold I judges that the user type is a central user, the terminal meeting the threshold II judges that the user type is a common user, and the terminal meeting the threshold III judges that the user type is an edge user.
On the basis of the foregoing embodiment, S12 specifically includes:
when the user type of the terminal is a central user, carrying out load balancing based on rate priority;
when the user type of the terminal is an edge user, carrying out load balancing based on coverage area priority;
and when the user type of the terminal is a common user, carrying out load balancing based on the number of the cell users.
The embodiment of the invention performs load balancing based on rate priority on the central user, performs load balancing based on coverage priority on the edge users, performs load balancing based on the number of users in a cell on the common users, and can perform corresponding load transfer according to different overload perceptions of users at different positions, thereby realizing optimal load balancing.
Specifically, when the user type of the terminal is a central user, performing rate-first-based load balancing includes:
acquiring load information of a target cell, wherein the load information comprises RSRP and PRB information;
predicting the full load rate of the terminal in the target cell according to the load information of the current cell and the load information of the target cell;
and when the full load rate of the terminal in the target cell is greater than the full load rate of the terminal in the current cell, transferring the terminal to the target cell.
In the embodiment of the invention, when the source side base station is in high load, the load condition of the target cell is interacted through an X2 port, and the available PRB (Physical Resource Block) information of the target cell is obtained; the method comprises the steps of predicting the MCS condition of a user in a target cell based on a relation fitting curve of the RSRP and the MCS (Modulation and coding scheme) of the user in a cell (namely a source side cell) reported by a terminal under the target cell, further judging the possible sensing rate of the user in the target cell, comparing the sensing rate, and selecting to balance the user to the optimal cell.
Fig. 2 is a schematic flowchart illustrating a process in which a source cell and a target cell acquire load information of the target cell through an X2 port according to an embodiment of the present invention.
Referring to fig. 2, the step of acquiring load information of a target cell according to the embodiment of the present invention includes:
when the source side base station has high load, the source side base station sends a Resource Status Request (Resource Status Request message) to the target base station to acquire load information (the load information comprises information such as MCS, RSRP, PRB period and the like) of the target cell;
the target base station replies a Resource Status Response (Resource Status Response message) to the source base station after receiving the Resource Status request message to indicate that the load interaction request is responded;
the target base station periodically reports cell load information and user type identification information including information of MCS, RSRP, PRB period and the like of a cell by sending Resource Status Update message;
and when the source side base station has low load, sending a Resource Status Request to stop the interaction of the load information.
The target base station sends a Resource Status Update message, which includes the MCS, RSRP, and PRB period of the cell after the terminal is transferred to the target cell, and the user type of the terminal in the target cell, so that when the subsequent network load balance changes, new load balance is performed according to the above parameters.
Specifically, the predicting the full load rate of the terminal in the target cell according to the load information of the current cell and the load information of the target cell includes:
predicting the MCS of the terminal in the target cell according to the relation between the RSRP and the MCS of the terminal in the current cell and the RSRP of the target cell;
and predicting the full load rate of the terminal in the target cell according to the MCS of the terminal in the target cell and the PRB information of the target cell.
The embodiment of the invention can fit the relationship between the PRSP and the MCS of the terminal user based on the performance of the terminal in the cell, and the wireless environments of the same user are basically similar, so that the PRSP and the MCS of the user in other peripheral load balancing target cells are basically consistent, and the MCS value of the user in other cells can be predicted based on the RSPR condition reported to other cells of the cell by the user.
After the number of available PRBs of the target cell and the MCS of the predicted user are obtained, a full-load TBS (Transport Block Size) of the target cell can be obtained, and then the full-load rate of the target cell is predicted based on the corresponding relationship between the MCS and the PRBs.
Specifically, when the user type of the terminal is an edge user, performing load balancing based on coverage priority includes:
calculating a load balancing weight threshold of the terminal according to the difference value of the RSRP of the terminal in the current cell and the target cell, the difference value of the PRB utilization rate of the current cell and the target cell and the difference value of the number of users of the current cell and the target cell;
and when the load balancing weight threshold is greater than a preset threshold, transferring the terminal to a target cell.
According to the load balancing method based on coverage priority, the difference value of the RSRP of the source cell and the target cell, the number of users of the source cell and the target cell, the difference value of PRBs and the like are compared according to a certain set weight, and after weighting, the traditional method for balancing the load based on the network load indexes such as the number of users or PRBs is changed, risks of user off-line and the like are reduced, and user perception is guaranteed.
Specifically, the calculating the load balancing weight threshold of the terminal includes:
the calculation formula of the load balancing weight threshold is as follows:
K1*(RSRP1-RSRP2)+K2*(U1-U2)+K3*(PRB1-PRB2)
wherein, K1 is an RSRP weight coefficient, RSRP1 is the reference signal received power measured by the current cell, and RSRP2 is the reference signal received power measured by the target cell;
k2 is a cell user number weight coefficient, U1 is the current cell user number, and U2 is the target cell user number;
k3 is the PRB weight coefficient, and PRB1 is current district PRB utilization ratio, and PRB2 is the target district PRB utilization ratio.
By setting the load balancing weight threshold of the edge user, the edge user occupies the target cell when the actual calculation weight value is greater than the load balancing weight threshold of the edge user, and occupies the source cell when the actual calculation weight value is less than the load balancing weight threshold of the edge user.
The embodiment of the invention also provides a load balancing device of the LTE system.
Fig. 3 shows a schematic structural diagram of an LTE system load balancing apparatus according to an embodiment of the present invention.
As shown in fig. 3, the LTE system load balancing apparatus provided in the embodiment of the present invention includes a determining unit 11 and a processing unit 12, where:
the judging unit 11 is configured to, when a load of a current cell is overloaded, judge a user type of the terminal according to RSRP and SINR reported by the terminal in the current cell;
the processing unit 12 is configured to perform load balancing based on rate prioritization, coverage prioritization or cell user number according to the user type of the terminal.
According to the embodiment of the invention, the optimal balance based on user perception can be realized by carrying out differentiated load balance on the terminals of different user types.
Specifically, the user types include a center user, an edge user, and a general user;
on the basis of the foregoing embodiment, the determining unit 11 is configured to determine that the user type of the terminal is a central user when RSRP reported by the terminal meets a first value range and SINR meets a second value range;
when the RSRP reported by the terminal meets a third value range and the SINR meets a fourth value range, the user type of the terminal is a common user;
and when the RSRP reported by the terminal meets a fifth value range and the SINR meets a sixth value range, the user type of the terminal is an edge user.
On the basis of the above embodiment, the processing unit 12 includes:
the first processing module is used for carrying out load balancing based on rate priority when the user type of the terminal is a central user;
the second processing module is used for carrying out load balancing based on coverage area priority when the user type of the terminal is an edge user;
and the third processing module is used for carrying out load balancing based on the number of cell users when the user type of the terminal is a common user.
Specifically, the first processing module includes:
the acquisition submodule is used for acquiring load information of a target cell, wherein the load information comprises RSRP (reference signal received power) and PRB (physical resource block) information;
the prediction submodule is used for predicting the full load rate of the terminal under the target cell according to the load information of the current cell and the load information of the target cell;
and the first transferring submodule is used for transferring the terminal to the target cell when the full load rate of the terminal under the target cell is greater than the full load rate of the terminal under the current cell.
Specifically, the prediction sub-module is configured to predict the MCS of the terminal in the target cell according to the relation between the RSRP and the MCS of the terminal in the current cell and the RSRP of the target cell; and predicting the full load rate of the terminal in the target cell according to the MCS of the terminal in the target cell and the PRB information of the target cell.
Specifically, the second processing module includes:
the calculation submodule is used for calculating a load balancing weight threshold of the terminal according to the difference value of the RSRP of the terminal under the current cell and the target cell, the difference value of the PRB utilization rate of the current cell and the target cell and the difference value of the number of users of the current cell and the target cell;
and the second transfer submodule is used for transferring the terminal to the target cell when the load balancing weight threshold is greater than a preset threshold.
Specifically, the calculation formula of the load balancing weight threshold is as follows:
K1*(RSRP1-RSRP2)+K2*(U1-U2)+K3*(PRB1-PRB2)
wherein, K1 is an RSRP weight coefficient, RSRP1 is the reference signal received power measured by the current cell, and RSRP2 is the reference signal received power measured by the target cell;
k2 is a cell user number weight coefficient, U1 is the current cell user number, and U2 is the target cell user number;
k3 is the PRB weight coefficient, and PRB1 is current district PRB utilization ratio, and PRB2 is the target district PRB utilization ratio.
The functional modules in the embodiments of the present invention may be implemented by a hardware processor (hardware processor), and the embodiments of the present invention are not described again.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
An embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method shown in fig. 1 is implemented.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
As shown in fig. 4, the electronic device provided by the embodiment of the present invention includes a memory 21, a processor 22, a bus 23, and a computer program stored on the memory 21 and executable on the processor 22. The memory 21 and the processor 22 complete communication with each other through the bus 23.
The processor 22 is used to call the program instructions in the memory 21 to implement the method of fig. 1 when executing the program.
For example, the processor implements the following method when executing the program:
when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal;
and carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal.
The electronic equipment provided by the embodiment of the invention can realize the optimal balance based on user perception by carrying out differentiated load balance on the terminals of different user types.
Embodiments of the present invention also provide a non-transitory computer readable storage medium, on which a computer program is stored, and the program, when executed by a processor, implements the steps of fig. 1.
For example, the processor implements the following method when executing the program:
when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal;
and carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal.
The non-transitory computer-readable storage medium provided by the embodiment of the invention can realize optimal balance based on user perception by performing differentiated load balance on terminals of different user types.
An embodiment of the present invention discloses a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the methods provided by the above-mentioned method embodiments, for example, including:
when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal;
and carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal.
Those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments instead of others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An LTE system load balancing method, the method comprising:
when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal;
and carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal.
2. The method of claim 1,
the user types comprise a central user, an edge user and a common user;
the judging the user type of the terminal according to the RSRP and the SINR reported by the terminal comprises:
when the RSRP reported by the terminal meets a first value range and the SINR meets a second value range, the user type of the terminal is a central user;
when the RSRP reported by the terminal meets a third value range and the SINR meets a fourth value range, the user type of the terminal is a common user;
and when the RSRP reported by the terminal meets a fifth value range and the SINR meets a sixth value range, the user type of the terminal is an edge user.
3. The method of claim 1,
the performing, according to the user type, load balancing based on rate prioritization, coverage prioritization or cell user number includes:
when the user type of the terminal is a central user, carrying out load balancing based on rate priority;
when the user type of the terminal is an edge user, carrying out load balancing based on coverage area priority;
and when the user type of the terminal is a common user, carrying out load balancing based on the number of the cell users.
4. The method of claim 3, wherein performing rate-first based load balancing when the user type of the terminal is a center user comprises:
acquiring load information of a target cell;
predicting the full load rate of the terminal in the target cell according to the load information of the current cell and the load information of the target cell;
and when the full load rate of the terminal in the target cell is greater than the full load rate of the terminal in the current cell, transferring the terminal to the target cell.
5. The method of claim 4, wherein the predicting the full loading rate of the terminal in the target cell according to the load information of the current cell and the load information of the target cell comprises:
predicting the MCS of the terminal in the target cell according to the relation between the RSRP and the MCS of the terminal in the current cell and the RSRP of the target cell;
and predicting the full load rate of the terminal in the target cell according to the MCS of the terminal in the target cell and the PRB information of the target cell.
6. The method of claim 3, wherein performing coverage-first based load balancing when the user type of the terminal is edge user comprises:
calculating a load balancing weight threshold of the terminal according to the difference value of the RSRP of the terminal in the current cell and the target cell, the difference value of the PRB utilization rate of the current cell and the target cell and the difference value of the number of users of the current cell and the target cell;
and when the load balancing weight threshold is greater than a preset threshold, transferring the terminal to a target cell.
7. The method of claim 6, wherein the calculating the load balancing weight threshold for the terminal comprises:
the calculation formula of the load balancing weight threshold is as follows:
K1*(RSRP1-RSRP2)+K2*(U1-U2)+K3*(PRB1-PRB2)
wherein, K1 is an RSRP weight coefficient, RSRP1 is the reference signal received power measured by the current cell, and RSRP2 is the reference signal received power measured by the target cell;
k2 is a cell user number weight coefficient, U1 is the current cell user number, and U2 is the target cell user number;
k3 is the PRB weight coefficient, and PRB1 is current district PRB utilization ratio, and PRB2 is the target district PRB utilization ratio.
8. An LTE system load balancing apparatus, the apparatus comprising:
the judging unit is used for judging the user type of the terminal according to the RSRP and SINR under the current cell reported by the terminal when the load of the current cell is overloaded;
and the processing unit is used for carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of LTE system load balancing according to any of claims 1-7.
10. A non-transitory computer readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of load balancing the LTE system according to any of claims 1-7.
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| CN113259954A (en) * | 2020-02-13 | 2021-08-13 | 中国移动通信集团广东有限公司 | Method and device for determining quality difference processing strategy and electronic equipment |
| CN113347662A (en) * | 2020-02-18 | 2021-09-03 | 中国移动通信集团浙江有限公司 | Load balancing method and device, computing equipment and computer storage medium |
| CN113709814A (en) * | 2020-05-20 | 2021-11-26 | 中国移动通信集团陕西有限公司 | Load balancing method and device, computing equipment and computer readable storage medium |
| CN114258081A (en) * | 2021-11-16 | 2022-03-29 | 中国联合网络通信集团有限公司 | Load balancing method and device for same-coverage cells, electronic equipment and storage medium |
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| CN113347662B (en) * | 2020-02-18 | 2022-09-27 | 中国移动通信集团浙江有限公司 | Load balancing method and device, computing equipment and computer storage medium |
| CN113709814A (en) * | 2020-05-20 | 2021-11-26 | 中国移动通信集团陕西有限公司 | Load balancing method and device, computing equipment and computer readable storage medium |
| CN111614417A (en) * | 2020-05-22 | 2020-09-01 | 中国联合网络通信集团有限公司 | Method and device for determining signal-to-interference-plus-noise ratio |
| CN111614417B (en) * | 2020-05-22 | 2022-04-26 | 中国联合网络通信集团有限公司 | Method and device for determining signal-to-interference-plus-noise ratio |
| CN114258081A (en) * | 2021-11-16 | 2022-03-29 | 中国联合网络通信集团有限公司 | Load balancing method and device for same-coverage cells, electronic equipment and storage medium |
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