JP-7856756-B2 - Network capacity optimization method, apparatus, and system

JP7856756B2JP 7856756 B2JP7856756 B2JP 7856756B2JP-7856756-B2

Inventors

シュイ，ゥルイユエ
シー，シヤオリー

Assignees

華為技術有限公司

Dates

Publication Date: 20260511
Application Date: 20220930
Priority Date: 20211011

Claims (14)

A method for optimizing network capacity, wherein the method is performed by a communication device. This is the step of receiving the first request message , The first request message includes network capacity optimization requirement information, and the network capacity optimization requirement information includes network capacity optimization targets and network capacity optimization limiting conditions. The aforementioned network capacity optimization target is used to describe the requirements for the network capacity performance of the first area, and, The aforementioned network capacity optimization limiting conditions are used to describe the conditions for determining the network capacity performance of the first area. Steps and This step involves determining a network capacity optimization solution for the first area based on the aforementioned network capacity optimization requirements information. The network capacity optimization solution is used to address at least one network capacity problem present in the first area. Steps and The steps include optimizing the network capacity of the first area based on the network capacity optimization solution, Includes, The aforementioned network capacity optimization target is based on the following information: A first parameter, which is used to determine the maximum value of the proportion of high-load cells in the first area, and/or, which is used to determine the maximum value of the quantity of high-load cells in the first area. A second parameter, which is used to determine the maximum value of the proportion of load-unbalanced cells in the first area, and/or, which is used to determine the maximum value of the quantity of load-unbalanced cells in the first area. A third parameter, which is used to determine the average number of users in each cell in the first area, or The fourth parameter is used to determine the throughput of the first area, Includes one or more of the following: If the network capacity optimization requirements information includes the network capacity optimization limit conditions, the network capacity optimization limit conditions include the following information: A first determination condition, which includes one or more conditions used to determine that a cell is a high-load cell, or A second determination condition, which includes one or more conditions used to determine that a cell is a load-unbalanced cell, Includes one or more of the following: The first decision condition is as follows: The physical resource block utilization of the cell is above the first threshold. The average number of users in a cell must be above the second threshold. The number of wireless resource control users connected to the cell is equal to or greater than the third threshold, or The available capacity of the cell is above the fourth threshold. Includes one or more of the following: The second determination condition is as follows: The difference in physical resource block utilization between adjacent cells is greater than or equal to the fifth threshold. The difference in the average number of users between adjacent cells is greater than or equal to the active user quantity imbalance threshold. The number of wireless resource control connected users in adjacent cells is equal to or greater than the sixth threshold, or The available capacity of the adjacent cell is less than or equal to the seventh threshold. It includes one or more of the following, If the network capacity optimization requirement information includes optimization requirement information in a plurality of first frequency bands, the network capacity optimization limiting condition further includes a condition for determining load imbalance cells in the plurality of first frequency bands. The determination conditions for the load imbalance cells in the plurality of first frequency bands are as follows: The difference in physical resource block utilization rates between adjacent cells in the plurality of first frequency bands is greater than or equal to the eighth threshold. The difference in the average number of users between adjacent cells in the plurality of first frequency bands is greater than or equal to the ninth threshold. The number of wireless resource control connected users in adjacent cells in the plurality of first frequency bands is equal to or greater than the tenth threshold, or The available capacity of adjacent cells in the plurality of first frequency bands is greater than or equal to the 11th threshold. Including one or more of the following: method.
The network capacity optimization requirement information includes optimization requirement information in one or more first frequency bands. The method according to claim 1.
The step of determining a network capacity optimization solution for the first area based on the network capacity optimization requirements information is: The steps include: acquiring first data based on the aforementioned network capacity optimization requirements information; A step of determining the root cause of the network capacity problem occurring in the first area based on the first data, A step of determining the network capacity optimization solution for the first area based on the root cause of the network capacity problem occurring in the first area, The method according to claim 1, including the method described in claim 1.
After the step of optimizing the network capacity of the first area based on the network capacity optimization solution, the method further: This is a step in determining the first information corresponding to the first area, The first information includes one or more of the following: a first quantity of high-load cells, a first quantity of unbalanced load cells, a first proportion of high-load cells, and a first proportion of unbalanced load cells. Steps and The steps include transmitting the first information, The method according to claim 1, including the method described in claim 1.
The above method further, This is a step in determining the first information corresponding to the first area, The first information includes one or more of the following: a first quantity of high-load cells, a first quantity of unbalanced load cells, a first proportion of high-load cells, and a first proportion of unbalanced load cells. Steps and A step of determining whether the network capacity performance of the first area satisfies the network capacity optimization target based on the first information and the network capacity optimization target, This is the step of sending the second piece of information. The second information indicates whether the network capacity performance of the first area satisfies the network capacity optimization target. Steps and The method according to claim 1, including the method described in claim 1.
A method for optimizing network capacity, wherein the method is performed by a communication device. This is a step in determining network capacity optimization requirements. The aforementioned network capacity optimization requirements information includes network capacity optimization targets and network capacity optimization constraints, The aforementioned network capacity optimization target is used to describe the network capacity performance requirements for the first area, and The aforementioned network capacity optimization limiting conditions are used to describe the conditions for determining the network capacity performance of the first area. Steps and This is the step of sending the first request message, The first request message includes the network capacity optimization requirement information, The first request message is used to request that the network capacity of the first area be optimized based on the network capacity optimization requirement information. Steps and Includes, The aforementioned network capacity optimization target is based on the following information: A first parameter, which is used to determine the maximum value of the proportion of high-load cells in the first area, and/or, which is used to determine the maximum value of the quantity of high-load cells in the first area. A second parameter, which is used to determine the maximum value of the proportion of load-unbalanced cells in the first area, and/or, which is used to determine the maximum value of the quantity of load-unbalanced cells in the first area. A third parameter, which is used to determine the average number of users in each cell in the first area, or The fourth parameter is used to determine the throughput of the first area, Includes one or more of the following: If the network capacity optimization requirements information includes the network capacity optimization limit conditions, the network capacity optimization limit conditions include the following information: A first determination condition, which includes one or more conditions used to determine that a cell is a high-load cell, or A second determination condition, which includes one or more conditions used to determine that a cell is a load-unbalanced cell, Includes one or more of the following: The first decision condition is as follows: The physical resource block utilization of the cell is above the first threshold. The average number of users in a cell must be above the second threshold. The number of wireless resource control users connected to the cell is equal to or greater than the third threshold, or The available capacity of the cell is above the fourth threshold. Includes one or more of the following: The second determination condition is as follows: The difference in physical resource block utilization between adjacent cells is greater than or equal to the fifth threshold. The difference in the average number of users between adjacent cells is greater than or equal to the active user quantity imbalance threshold. The number of wireless resource control connected users in adjacent cells is equal to or greater than the sixth threshold, or The available capacity of the adjacent cell is less than or equal to the seventh threshold. It includes one or more of the following, If the network capacity optimization requirement information includes optimization requirement information in a plurality of first frequency bands, the network capacity optimization limiting condition further includes a condition for determining load imbalance cells in the plurality of first frequency bands. The determination conditions for the load imbalance cells in the plurality of first frequency bands are as follows: The difference in physical resource block utilization rates between adjacent cells in the plurality of first frequency bands is greater than or equal to the eighth threshold. The difference in the average number of users between adjacent cells in the plurality of first frequency bands is greater than or equal to the ninth threshold. The number of wireless resource control connected users in adjacent cells in the plurality of first frequency bands is equal to or greater than the tenth threshold, or The available capacity of adjacent cells in the plurality of first frequency bands is greater than or equal to the 11th threshold. Including one or more of the following: method.
The network capacity optimization requirement information includes optimization requirement information in one or more first frequency bands. The method according to claim 6 .
The above method further, The first step is to receive first information, the first information being the following information, The first quantity of high-load cells, the first quantity of unbalanced load cells, the first proportion of high-load cells, and the first proportion of unbalanced load cells, A step that includes one or more of the following, A step of adjusting the network capacity optimization requirements information based on the first information and the network capacity optimization limit conditions, The method according to claim 6, including the method described in claim 6 .
The above method further, The step of receiving second information, wherein the second information indicates whether the network capacity performance of the first area satisfies the network capacity optimization goal. The steps include adjusting the network capacity optimization requirements information based on the second information, The method according to claim 6, including the method described in claim 6 .
A communication device comprising a communication module and a processing module, The communication module is configured to perform the receiving step/transmitting step in any one of claims 1 to 5 or claims 6 to 9 , and The processing module is configured to perform the processing steps in any one of claims 1 to 5 or 6 to 9 . Communication device.
A computer-readable storage medium, The aforementioned computer-readable storage medium stores instructions. When the aforementioned instruction is executed, The method described in any one of claims 1 to 5 is carried out, The method described in any one of claims 6 to 9 is carried out. Computer-readable storage medium.
It's a tip, The aforementioned chip includes a processor, The aforementioned processor is coupled to a communication interface, The processor is configured to execute a computer program or instructions, and performs the method described in any one of claims 1 to 5 , or the method described in any one of claims 6 to 9 , The aforementioned communication interface is configured to communicate with another module other than the aforementioned chip. Tip.
A communication system comprising a first functional unit and a second functional unit, The first functional unit is configured to carry out the method described in any one of claims 1 to 5 , and The second functional unit is configured to carry out the method described in any one of claims 6 to 9 . Communication system.
A computer program that includes instructions, When the aforementioned instruction is executed, the computer is instructed to carry out the method according to any one of claims 1 to 5 , or the method according to any one of claims 6 to 9 . Computer program.

Description

This application relates to the field of communication technology, and more particularly to methods, apparatus, and systems for optimizing network capacity. Cross-reference of related applications This application claims priority to Chinese Patent Application No. 202111184353.8, titled "NETWORK CAPACITY OPTIMIZATION METHOD, APPARATUS, AND SYSTEM," filed with the China National Intellectual Property Administration on 11 October 2021, which is incorporated herein by reference in its entirety. The network architecture of fifth-generation (5G) mobile communication technology is more flexible than that of previous mobile communication technologies. Key features include: servitization of the 5G core network, separation of the radio access network (RAN) into central units (CUs) and distributed units (DUs), and flexible customization of network slices. With the development of mobile communication technology, the demands on key performance indicators such as network coverage, capacity, rate, and mobility, particularly the demand for network capacity, are constantly increasing. 5G networks support 5GtoB industrial services (e.g., meter reading services, video surveillance services, and remote control services). However, 5GtoB industrial services have very high demands on key performance indicators such as user latency, call drop rate, and terminal access volume. Network capacity requirements fluctuate at different moments and locations, and different 5G-to-B industrial services have different network capacity requirements. Therefore, the network capacity of the 5G network needs to be dynamically adjusted during the deployment of 5G-to-B industrial services to satisfy the dynamic nature of those services. Network capacity is key to guaranteeing the performance of a network or service. However, wireless network resources are limited. Therefore, how to dynamically adjust network resources to satisfy the different service requirements regarding network capacity is key to the operation and maintenance of 5G networks. This application provides a network capacity optimization method and apparatus for adjusting the network capacity of an area based on network capacity optimization requirements so that the network capacity performance of the area satisfies the requirements. This application provides the following technical solutions: According to a first aspect, this application provides a method for optimizing network capacity. The method includes the following steps: A first functional unit obtains network capacity optimization requirements information, including at least a network capacity optimization target. Network capacity performance that is relevant to an area and satisfies the network capacity optimization target satisfies the requirements, or the network capacity optimization target is used as the requirement for the network capacity performance of the first area. Based on the network capacity optimization requirements information, the first functional unit determines a network capacity optimization solution for the first area. The network capacity optimization solution is used to address at least one network capacity problem present in the first area. Based on the network capacity optimization solution, the first functional unit optimizes the network capacity of the first area. Optionally, network capacity optimization requirements information may include network capacity optimization constraints in addition to network capacity optimization targets. Network capacity optimization constraints are used to describe the conditions for determining the network capacity performance of the first area. In other words, network capacity optimization constraints are used to determine whether the network capacity performance of the first area satisfies the network capacity optimization targets. This application provides a method for optimizing network capacity. In this method, network capacity optimization requirements information is acquired, which includes at least a network capacity optimization target, used to describe the network capacity performance requirements of a first area. In other words, the network capacity optimization target carried in the network capacity optimization requirements information in this embodiment of the application is satisfyable by the network capacity of the first area and represents a requirement anticipated by the operator or another third party. Therefore, a network capacity optimization solution determined for the first area based on the network capacity optimization target can be used to address at least the network capacity problem existing in the first area. Thus, when the network capacity of the first area is subsequently optimized using the network capacity optimization solution, the network capacity optimization target can be quickly satisfied. That is, the network capacity performance of the optimized area can satisfy the requirements as quickly as possible. Furthermore, when network