CN114828050A - Method, device, equipment and medium for determining service capacity - Google Patents
Method, device, equipment and medium for determining service capacity Download PDFInfo
- Publication number
- CN114828050A CN114828050A CN202210502363.XA CN202210502363A CN114828050A CN 114828050 A CN114828050 A CN 114828050A CN 202210502363 A CN202210502363 A CN 202210502363A CN 114828050 A CN114828050 A CN 114828050A
- Authority
- CN
- China
- Prior art keywords
- average
- cell
- service
- capacity
- rate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 64
- 230000005540 biological transmission Effects 0.000 claims abstract description 49
- 230000023402 cell communication Effects 0.000 claims description 10
- 230000004913 activation Effects 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 5
- 238000006467 substitution reaction Methods 0.000 claims description 3
- 238000011144 upstream manufacturing Methods 0.000 claims description 2
- 230000006854 communication Effects 0.000 abstract description 17
- 238000004891 communication Methods 0.000 abstract description 15
- 238000010295 mobile communication Methods 0.000 description 15
- 238000004364 calculation method Methods 0.000 description 7
- 238000004088 simulation Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000008447 perception Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011022 operating instruction Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The application provides a method, a device, equipment and a medium for determining service capacity. The method comprises the following steps: and acquiring guaranteed bit rate GBR corresponding to the service with the set service quality grade in the cell, and acquiring the utilization rate of communication resources of the cell or the average busy hour rate of transmission corresponding to the highest service volume time period from a network management background of an operator according to the guaranteed bit rate GBR. And then, calculating the average actual maximum rate of cell transmission according to the busy hour average rate, and determining the average capacity of the cell set service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate. The method ensures that the determined capacity of the service with the set service quality level is more accurate.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a medium for determining a service capacity.
Background
In the network communication process, when the network is overloaded or congested, in order to ensure that a certain Service is not delayed or discarded in a specific mobile network system, Quality of Service (QoS) with a priority different from that of other services is set for the Service, and the Service may be referred to as a set Quality of Service class Service.
In order to ensure the normal operation of the QoS class setting service that requires the transmission rate setting, the capacity of the QoS class setting service in a cell, that is, the number of QoS class users that can be accommodated by a cell, needs to be determined. In the prior art, the capacity of a service with a set quality of service level is generally determined by theoretically calculating the maximum carrying capacity of a mobile communication system, and the capacity is calculated by acquiring the uplink/downlink peak rate of a user in the mobile communication system and calculating the capacity through the uplink/downlink peak rate.
However, the capacity of the service of the set quality of service class determined by the prior art is larger than the actual capacity, and the result is not accurate enough.
Disclosure of Invention
The application provides a method, a device, equipment and a medium for determining service capacity, which are used for solving the problems that the capacity of a service for setting a quality of service grade determined by the prior art is larger than the actual capacity, and the result is not accurate enough.
In a first aspect, the present application provides a method for determining service capacity, including:
acquiring guaranteed bit rate GBR corresponding to a cell set service quality grade service;
acquiring the utilization rate of the cell communication resources or the busy hour average rate of the corresponding transmission of the highest traffic time period from the background of the network management of the operator according to the guaranteed bit rate GBR;
calculating the average actual maximum rate of the cell transmission according to the busy hour average rate;
and determining the average capacity of the cell setting service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate.
Optionally, the calculating an average actual maximum rate of the cell transmission according to the busy hour average rate includes:
calculating an average actual maximum rate of transmission for the cell using the following formula:
Q＝λ×R
wherein Q is an average actual maximum rate of the cell transmission, and the average actual maximum rate includes an uplink average actual maximum rate Q U Or downstream average actual maximum rate Q D (ii) a R is the average busy hour rate, and the average busy hour rate comprises the average uplink busy hour rate R U Or downstreamBusy hour average rate R D (ii) a λ is the average number of users activated simultaneously in busy hours, and λ can be directly obtained from the background of the network manager of the operator, or calculated by the following formula:
λ＝μ×α
wherein mu is the number of users in RRC connection controlled by the average radio resource in busy hour cells; alpha is the average user activation ratio of the busy cell.
Optionally, the determining, according to the average actual maximum rate, an average capacity of the cell-defined qos class service that meets the guaranteed bit rate GBR includes:
calculating the average capacity of the service with the set service quality grade of the cell according to the average actual maximum rate;
if the guaranteed bit rate GBR corresponding to the service quality grade service set by the cell is the uplink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the uplink average capacity of the cell;
if the guaranteed bit rate GBR corresponding to the service quality grade service set by the acquired cell is the downlink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the downlink average capacity of the cell;
if the guaranteed bit rate GBR corresponding to the obtained cell-set service quality class service is the uplink guaranteed bit rate GBR and the downlink guaranteed bit rate GBR, the capacity of the cell-set service quality class service is the minimum capacity of the uplink average capacity and the downlink average capacity of the cell.
Optionally, the calculating, according to the average actual maximum rate, an average capacity of the service with the quality of service level set by the cell includes:
calculating the average capacity of the service with the set service quality level of the cell by using the following formula:
wherein C is the cell equipmentDetermining average capacity of service of quality class, the average capacity includes uplink average capacity C U Or downstream average capacity C D Symbol of
Represents rounding down; r G For guaranteed bit rate GBR, the guaranteed bit rate GBR comprises an uplink guaranteed bit rate R UG Or downstream guaranteed bit rate R DG Said upstream average capacity C U The method can also be obtained by equivalent substitution of the following formula:
wherein R is DEG For downlink equivalent guaranteed bit rate GBR, said R DEG Calculated by the following formula:
R DEG ＝R UG ×n
wherein n is a proportionality coefficient, and n is more than or equal to 1.
Optionally, after determining the average capacity of the cell-defined qos class service that meets the guaranteed bit rate GBR according to the average actual maximum rate, the method further includes:
acquiring the total number of cells in a target area containing the cells;
and determining the total capacity of the set service quality grade service in the target area including the cell according to the determined average capacity of the set service quality grade service of the cell and the total number of the cells in the target area.
Optionally, the determining, according to the determined average capacity of the service of the set qos class of the cell and the total number of cells in the target area, the total capacity of the service of the set qos class in the target area including the cell includes:
calculating the total capacity of the set QoS class service in the target region by using the following formula:
wherein, C SD The total capacity of the set service quality grade service meeting the guaranteed bit rate GBR in the target area is obtained; k is the number of cells in the target area; beta is the capacity loss coefficient.
In a second aspect, the present application provides an apparatus for determining a service capacity, including:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a guaranteed bit rate GBR corresponding to a service with a set service quality grade of a cell;
the obtaining module is further configured to obtain, according to the guaranteed bit rate GBR, a busy hour average rate of transmission corresponding to the cell communication resource utilization rate or the highest traffic time period from a network management background of an operator;
a calculating module, configured to calculate an average actual maximum rate of the cell transmission according to the busy hour average rate;
and the determining module is used for determining the average capacity of the cell setting service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate.
Optionally, the calculation module is specifically configured to:
calculating an average actual maximum rate of transmission for the cell using the following formula:
Q＝λ×R
wherein Q is an average actual maximum rate of the cell transmission, and the average actual maximum rate includes an uplink average actual maximum rate Q U Or downstream average actual maximum rate Q D (ii) a R is the average busy hour rate, and the average busy hour rate comprises the average uplink busy hour rate R U Or average rate R of downlink busy hour D (ii) a λ is the average number of users activated simultaneously in busy hours, and λ can be directly obtained from the background of the network manager of the operator, or calculated by the following formula:
λ＝μ×α
wherein mu is the number of users in RRC connection controlled by the average radio resource in busy hour cells; alpha is the average user activation ratio of the busy cell.
In a third aspect, the present application provides an electronic device, comprising: at least one processor, a memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the electronic device to perform the method of any of the first aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement the method of any one of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising a computer program that, when executed by a processor, implements the method of any of the first aspects.
According to the method, the device, the equipment and the medium for determining the service capacity, the guaranteed bit rate GBR corresponding to the service with the set service quality level of the cell is obtained, and the utilization rate of the cell communication resources or the busy hour average rate of corresponding transmission in the highest service volume time period is obtained from the background of a network manager of an operator according to the guaranteed bit rate GBR. And then, calculating the average actual maximum rate of cell transmission according to the busy hour average rate, and determining the average capacity of the cell set service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate. The method and the device enable the determined capacity of the service with the set service quality grade to be more accurate by acquiring the real current network data.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic flowchart of a service capacity determining method according to an embodiment of the present application;
fig. 2 is a flowchart illustrating a method for determining an average capacity of a service with a cell configured quality of service level according to a second embodiment of the present application;
fig. 3 is a schematic flowchart of another method for determining an average capacity of a service with a cell configured quality of service level according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of a service capacity determining apparatus according to a fourth embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to certain embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Due to the development of network communication technology, various data services are emerging continuously, and the demands of users on mobile data services become more diversified. However, the resources provided by the mobile network are limited, and it is often not guaranteed that all services can be performed at full speed anytime anywhere, so operators have to adopt a specific network security policy to preferentially secure high-level services and service awareness of high-level users.
In order to ensure high-level services preferentially, a common method is to classify different services in advance, and give different network resources, i.e., different Quality of Service (QoS), to the services with different priorities.
For example, mobile data services can be classified into the following categories according to the requirements of different services on time delay, packet loss rate, transmission rate, and the like:
conversation class: for example, voice and video telephony services are characterized by real-time performance, end-to-end performance, small time delay, and uplink and downlink symmetry or almost symmetry of traffic.
Interaction class: for example, the services such as web browsing, database retrieval, and network game generally refer to the services of online data interaction between a terminal and a server, and are characterized by a request and response mode.
Streaming media class: for example, a user enjoys services such as audio or video programs on a network, which is characterized by real-time performance, but because the services are transmitted in a single direction and do not need to interact with each other, the real-time performance requirement is not as strict as that of session services, and certain packet loss rate and packet error rate can be tolerated.
Background class: for example, receiving e-mail or multimedia message, receiving transmission file, downloading data and other services. The method has the characteristics that the user has no special requirement on the transmission time, but has high requirement on reducing the packet loss probability.
In the network communication process, when the network is overloaded or congested, in order to ensure that the transmission of some kind of traffic is not delayed or dropped, Quality of Service (QoS) with a priority different from that of other traffic is set for the traffic.
Common QoS configuration requirements are, for example, as follows:
for example: GBR refers to the constant allocation of the bit rate required by the bearer by the network, and the corresponding bit rate can be maintained even in the case of a shortage of network resources.
Another example is: Non-GBR, i.e. Non-GBR, means that the network does not provide the lowest transmission rate guarantee, and in case of network congestion, the traffic needs to bear the requirement of reducing the rate, and the Non-GBR bearer can be maintained for a long time because it does not need to occupy fixed network resources.
For another example: MBR (Maximum Bit Rate) defines the upper Rate limit that a certain service can reach under the condition of sufficient resources. The value of MBR may be greater than or equal to the value of GBR.
Before each QoS service is opened by an operator, in order to ensure the normal operation of the service, the capacity of the service carried by the wireless network is determined, that is, the number of users with set QoS levels that can be accommodated by the wireless network is determined. The determined capacity result can be used as a decision basis for immediately opening a service with a set service quality grade on one hand and can be used as a guidance basis for judging whether the capacity expansion operation needs to be performed on the network in advance on the other hand, and if the operator finds that the capacity cannot reach an expected result, the capacity expansion is performed on the network in advance, and then the opening is performed after the capacity meets the requirement. The reason is that if the service with the set quality of service level is activated without determining the capacity of the service in advance, when the number of users with higher network resource consumption exceeds a certain limit, the quality of the service with the set quality of service level cannot be met, so that the network perception of the users with the specific QoS level is poor.
In the prior art, the capacity of a service with a set quality of service level is generally determined by theoretically calculating the maximum carrying capacity of a mobile communication system, and the capacity is calculated by acquiring the uplink/downlink peak rate of a user in the mobile communication system and calculating the capacity through the uplink/downlink peak rate.
However, the capacity of the service of the set quality of service class determined by the prior art is larger than the actual capacity, and the result is not accurate enough.
This is because the distribution of users in the mobile communication network is random. For example, some users may be distributed closer to the base station, and such users can obtain higher uplink and downlink rate perception with relatively less system resources. However, some other users may be distributed far away from the base station, and these users are likely to occupy relatively more system resources, but the obtained uplink and downlink rates are low because the signal coverage quality of the locations where these users are located is poor, and the user plane data undergoes repeated retransmission and codec correction in the mobile communication system, which wastes a lot of system resources, but the effective transmission rate is not high. Therefore, it is not reasonable to estimate the number of users with a set qos level that can be accommodated by a cell according to the theoretically calculated cell limit capacity, but the actual capacity of the users after actual near, medium and far point distribution should be considered.
At present, the capacity of the service of the set quality of service class is determined by establishing a simulation model according to the actual near point, middle point and far point distribution of the users, for example, the capacity of the service of the set quality of service class is calculated by simulation through establishing a mobile communication network model and a user random distribution model.
However, the existing simulation model has the disadvantages of complex establishing process, large simulation calculation amount, high calculation force requirement on a computer simulation system and inaccurate calculated simulation result.
In fact, most of the services for opening QoS are services having requirements on time delay and packet loss Rate, and the Guaranteed Bit Rate (GBR) of uplink and downlink directly affects the size of the service time delay and the size of the packet loss Rate, where the higher the Guaranteed Bit Rate of uplink and downlink, the smaller the time delay, and the lower the packet loss Rate. Therefore, the capacity of the wireless network for setting the service quality grade service is determined, and the key link is to determine the number of bearable users under the condition of ensuring the uplink/downlink guaranteed bit rate corresponding to the QoS grade service.
Therefore, in order to solve the above technical problems in the prior art, the present application provides a method, an apparatus, a device, and a medium for determining service capacity, where a guaranteed bit rate GBR corresponding to a service with a set quality of service level in a cell is obtained, and a cell communication resource utilization rate or an average busy hour rate transmitted in a time period with the highest traffic volume is obtained from a network management background of an operator according to the guaranteed bit rate GBR. And then, calculating the average actual maximum rate of cell transmission according to the busy hour average rate, and determining the average capacity of the cell set service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate. By acquiring the real current network data, the determined capacity of the service with the set service quality level is more accurate.
The method can be applied to the determination of the capacity of the mobile communication service, wherein the mobile communication service can be a service with a set service quality level, such as a multimedia real-time service like IP telephone, video conference, video on demand, remote education, etc., and these services are usually some important services or key applications, and the priority is set to ensure the preferential allocation of network resources of these services. It is understood that the method for determining the traffic capacity proposed in the present application includes, but is not limited to, the above scenarios, and the listed scenarios are not therefore taken as limitations of the present application.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a service capacity determining method according to an embodiment of the present application, and as shown in fig. 1, the method may be executed by a service capacity determining device, for example, an operator server. The method specifically comprises the following steps:
s101, obtaining a guaranteed bit rate GBR corresponding to a service with a set service quality grade of a cell.
In this embodiment, before acquiring data, a network type corresponding to the service is first specified, for example, 3G, 4G, or 5G. It should be noted that the data obtained from the background of the network manager of the operator must be synchronized in time, and may be data in the same month or data in the same week.
The guaranteed bit rate GBR refers to the minimum bit rate of the guaranteed bearer of the system, and the corresponding bit rate can be maintained even under the condition that the network resources are in shortage. Which includes an uplink guaranteed bit rate GBR and a downlink guaranteed bit rate GBR.
S102, according to the guaranteed bit rate GBR, the utilization rate of the cell communication resources or the busy hour average rate of the corresponding transmission in the highest traffic time period is obtained from the background of the network management of the operator.
The average busy hour rate may be an average busy hour rate of a communication system of an operator, and the system busy hour refers to a time period when the resource utilization rate or the traffic of the local mobile communication network is maximum. The average rate of busy cells can also be taken, and busy cells refer to time periods when each cell respectively takes the resource utilization rate or the traffic of the cell. The average rate of the busy system is obtained only by obtaining the average rate of the resource utilization rate or the time period when the traffic is maximum in the system because the average rate of the resource utilization rate or the time period when the traffic is maximum in each cell is not required to be obtained, and therefore, the average rate of the busy system is more convenient and faster to obtain than the average rate of the busy cell. The busy hour average rate comprises an uplink busy hour average rate and a downlink busy hour average rate.
Illustratively, the acquisition process is described using the busy hour average rate as an example. And acquiring the uplink busy hour rate of each cell in the selected area from the background of the network management of the operator, and adding the uplink busy hour rates of all the cells to divide the number of the cells to obtain the average uplink busy hour rate of each cell. The obtaining mode of the average speed in the downlink busy hour is the same as that of the uplink, and the description is not repeated in the application.
S103, calculating the average actual maximum rate of cell transmission according to the average rate in busy hours.
S104, determining the average capacity of the cell setting service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate.
Determining the average capacity of the cell-defined QoS class service according to the guaranteed bit rate GBR corresponding to the obtained cell-defined QoS class service, specifically:
and if the guaranteed bit rate GBR corresponding to the service quality grade service set by the acquired cell is the uplink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the uplink average capacity of the cell.
And if the guaranteed bit rate GBR corresponding to the service quality grade service set by the acquired cell is the downlink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the downlink average capacity of the cell.
If the guaranteed bit rate GBR corresponding to the obtained cell-set service quality grade service is the uplink guaranteed bit rate GBR and the downlink guaranteed bit rate GBR, the capacity of the cell-set service quality grade service is the minimum capacity of the uplink average capacity and the downlink average capacity of the cell.
In the embodiment of the present application, the guaranteed bit rate GBR corresponding to the service with the set quality of service level in the cell is obtained, and according to the guaranteed bit rate GBR, the utilization rate of the communication resources in the cell or the busy hour average rate transmitted in the time period with the highest traffic volume is obtained from the background of the network management of the operator. And then, calculating the average actual maximum rate of cell transmission according to the busy hour average rate, and determining the average capacity of the cell set service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate. By acquiring the real current network data, the determined capacity of the service with the set service quality level is more accurate.
Further, based on the first embodiment, the following respectively describes the determination process of setting the average capacity of the qos class service for the cell under the condition that the guaranteed bit rate GBR is satisfied with reference to the embodiments shown in fig. 2 and fig. 3.
In one embodiment:
and if the guaranteed bit rate GBR corresponding to the service quality grade service set by the acquired cell is the downlink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the downlink average capacity of the cell.
As shown in fig. 2, fig. 2 is a schematic flowchart of a method for determining an average capacity of a service with a cell quality-of-service level according to a second embodiment of the present application, where the method includes the following steps:
s201, acquiring a downlink guaranteed bit rate GBR corresponding to a cell-set service quality grade service.
S202, according to the downlink guaranteed bit rate GBR, the utilization rate of the cell communication resources or the average rate of the downlink busy hour corresponding to the transmission in the highest traffic time period is obtained from the background of the network management of the operator.
S203, calculating the actual maximum downlink average rate transmitted by the cell according to the average downlink busy hour rate.
In particular, the method comprises the following steps of,
calculating the average actual maximum rate of downlink transmission of the cell by using the following formula (1):
Q D ＝λ×R D (1)
wherein Q is D The actual maximum rate of the downlink average for cell transmission; r D The average rate is the average rate of the downlink busy hour; λ is the average number of users simultaneously active during busy hours.
It should be noted that, in order to improve the accuracy of capacity determination of the present application, the average number of simultaneously active users used must be the number of users that are strictly performing data transmission simultaneously. For example, in a third Generation (3rd Generation, 3G)/fourth Generation (4th Generation, 4G)/fifth Generation (5th Generation, 5G) mobile network system, the average number of users that are simultaneously active must be the average of the number of users that are synchronized for data transmission over a time granularity of a time slot (e.g., 1 slot of 4G has a time length of 0.5 ms).
The average number λ of users simultaneously activated in busy hour can be directly obtained from the operator network management background, but due to the difference of mobile communication devices, if the device cannot directly obtain λ, a more common Radio Resource Control (RRC) connected user number and user activation ratio can also be extracted from the operator network management background for calculation.
Calculating the average number of simultaneously active users in the cell in the downlink busy hour by using the following formula (2):
λ＝μ×α (2)
wherein mu is the average number of RRC connection users in busy hour cells; alpha is the average user activation ratio of the busy cell. It should be noted that if μ is a non-integer, the corresponding integer may be obtained by rounding down, and if α is a non-integer, λ may be calculated by substituting the above equation (2), and then rounding down.
Taking the 4G network as an example, although the average activation ratio of the 4G network users in busy hours in different cells in different regions or in the same region is different, it is common that the average activation ratio is between 8% and 20%, and the operator can take values according to the actual situation of the evaluation region.
S204, determining the downlink average capacity of the cell setting service quality grade service meeting the downlink guaranteed bit rate GBR according to the downlink average actual maximum rate.
In particular, the method comprises the following steps of,
calculating the downlink average capacity of the service with the set service quality level of the cell by using the following formula (3):
wherein, C D Setting the downlink average capacity of the service quality grade service for the cell; symbol
Represents rounding down; r DG The bit rate is guaranteed for the downlink.
In the embodiment of the present application, the downlink guaranteed bit rate GBR corresponding to the service with the set quality of service level in the cell is obtained, and according to the downlink guaranteed bit rate GBR, the downlink busy hour average rate correspondingly transmitted in the period of time when the communication resource utilization rate or the traffic volume is the highest in the cell is obtained from the network management background of the operator. And then, calculating the actual maximum downlink average rate transmitted by the cell according to the average downlink busy hour rate, and further determining the average downlink capacity of the cell set service quality grade service meeting the downlink guaranteed bit rate GBR. The method of the embodiment enables the determined downlink average capacity of the service with the set service quality level to be more accurate by acquiring the real current network data.
In another embodiment:
and if the guaranteed bit rate GBR corresponding to the service quality grade service set by the acquired cell is the uplink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the uplink average capacity of the cell.
As shown in fig. 3, fig. 3 is a flowchart of a further method for determining an average capacity of a service with a cell quality-of-service level according to a third embodiment of the present application, where the method includes the following steps:
s301, obtaining an uplink guaranteed bit rate GBR corresponding to the service with the set service quality grade of the cell.
S302, according to the uplink guaranteed bit rate GBR, acquiring the utilization rate of the cell communication resources or the uplink busy hour average rate correspondingly transmitted in the highest traffic time period from the background of the network management of the operator.
And S303, calculating the average actual maximum uplink rate transmitted by the cell according to the average uplink busy hour rate.
In particular, the method comprises the following steps of,
calculating the average actual maximum rate of uplink transmission of the cell by using the following formula (4):
Q U ＝λ×R U (4)
wherein Q is U The actual maximum rate of the uplink transmission of the cell is the average maximum rate of the uplink transmission of the cell; r U The average rate is the uplink busy hour; the λ is the average number of users simultaneously activated in busy hours, and the value of λ may be directly obtained from the operator network management background, or may be obtained through the formula two, and the specific manner of obtaining through the formula two is the same as the method in the embodiment two, and is not repeated here.
S304, determining the uplink average capacity of the cell setting service quality grade service meeting the uplink guaranteed bit rate GBR according to the uplink average actual maximum rate.
Calculating the uplink average capacity of the service with the set service quality level of the cell by using the following formula (5):
wherein, C U Setting the uplink average capacity of the service quality grade service for the cell; symbol
Represents rounding down; r UG For uplink guard bitThe rate.
It should be particularly noted that, in reality, users in the current network mainly use downlink traffic services, such as video services and web browsing services, and the uplink transmission demand of users is low, data sent in uplink is mainly in packets, and the uplink rate value extracted from the background of the network manager of the operator is generally low, which often fails to reflect the real guarantee capability of the uplink of the mobile communication system.
Therefore, the downlink rate extracted from the background of the network manager is generally higher than the reference value of the uplink rate, and when the uplink average capacity of a single cell for setting the service quality level service needs to be evaluated, the uplink guaranteed bit rate can be converted through the downlink equivalent guaranteed bit rate according to the principle of a mobile communication system, and then the equivalent evaluation is performed according to the method for calculating the downlink average capacity of the cell for setting the service quality level service.
There are many methods for the uplink guaranteed bit rate to be equivalently converted through the downlink equivalent guaranteed bit rate, and the present application provides only an exemplary scheme as follows, and therefore does not serve as a limitation to the present application.
Generally, in a mobile communication system, a theoretical downlink peak rate is higher than a theoretical uplink peak rate, for example, the downlink peak rate is n times of the uplink peak rate, where n ≧ 1. Therefore, the uplink average capacity of the cell-defined qos class service can be calculated by using the following formula (6):
wherein, C U Setting the uplink average capacity of the service quality grade service for the cell; lambda is the average number of simultaneously activated users in busy hour; r D The average rate is the average rate of the downlink busy hour; r DEG For downlink equivalent guaranteed bit rate GBR, wherein R DEG ＝R UG ×n，R UG Securing a bit rate R for uplink UG (ii) a n is a proportionality coefficient, and n is more than or equal to 1; therefore, the above formula (6) may be
In summary, by the conversion of the downlink equivalent guaranteed bit rate, the uplink average capacity of the cell-defined qos class service that meets the requirement of the uplink guaranteed bit rate GBR can be obtained.
In the embodiment of the application, the uplink guaranteed bit rate GBR corresponding to the service with the set quality of service level in the cell is obtained, and according to the uplink guaranteed bit rate GBR, the uplink busy hour average rate correspondingly transmitted in the period of time when the communication resource utilization rate or the traffic volume is the highest in the cell is obtained from the background of the network management of the operator. And then, calculating the average actual maximum uplink rate transmitted by the cell according to the average uplink busy hour rate, and determining the average uplink capacity of the cell set service quality grade service meeting the uplink guaranteed bit rate GBR according to the average actual maximum uplink rate. Or, obtaining the uplink average capacity of the cell set service quality grade service meeting the uplink guaranteed bit rate GBR through the conversion of the downlink equivalent guaranteed bit rate. The method of the embodiment enables the determined uplink average capacity of the service with the set service quality level to be more accurate by acquiring the real current network data.
It can be understood that, through the first to third embodiments, the average capacity of the cell qos class service meeting the guaranteed bit rate, that is, the number of users of the qos class service meeting the GBR requirement that can be maximally supported by an average cell, can be obtained. Further, according to the average capacity of a single cell, the total capacity of the service with the set quality of service level in the target area including the cell can be determined.
In particular, the method comprises the following steps of,
and acquiring the total number of the cells in a target area, wherein the target area must contain the calculated average capacity of the service with the set service quality level of a certain cell.
And determining the total capacity of the service with the set service quality grade of the certain cell in the target area according to the determined average capacity of the service with the set service quality grade of the certain cell and the total number of the cells in the target area.
Calculating the total capacity of the service with the set service quality level in the target area by using the following formula (7):
wherein, C SD The total capacity of the set service quality grade service meeting the guaranteed bit rate GBR in the target area is obtained; k is the number of cells in the target area; beta is a capacity loss coefficient caused by overlapping coverage between cells in a geographical range, beta is any real number in the range of (0, 1), and the specific value of beta can be determined according to actual conditions.
It should be noted that if the total capacity of the set qos class service under the uplink guaranteed bit rate GBR is required to be satisfied in the target area, then C is the uplink average capacity of the set qos class service of the cell included in the target area; if the requirement in the target area is the total capacity of the set service quality grade service under the downlink guaranteed bit rate GBR, then C is the downlink average capacity of the set service quality grade service of the cell contained in the target area; if the requirement in the target area meets both the uplink guaranteed bit rate GBR and the total capacity of the set service quality class service under the downlink guaranteed bit rate GBR, then C is the minimum value of the uplink average capacity and the downlink average capacity of the set service quality class service of the cell included in the target area.
In principle, each cell of a mobile communication system is responsible for covering a certain geographical area, and in order to provide a seamless mobility experience for users, a part of the area of overlapping coverage must be provided between the cells to ensure that voice or data services are not interrupted while the users move between the cells. Empirically, the beta value is typically between 0.01 and 0.05, but is also influenced by the specific overlay coverage definition method. Of course, β may also be a common overlap coverage value in the communication industry, and since the overlap coverage index does not belong to the research focus of the present application, reference may be made to related technologies, and detailed description of the present application is omitted.
It should be noted that the total capacity of the service satisfying the set qos class in the guaranteed bit rate GBR calculated by the above method is the ultimate capacity in the actual network condition of the target area, and is the upper limit of the number of users accommodating the service of the type, where the actual condition includes the actual condition of network coverage, the actual condition of user distribution, and the actual condition of service type distribution. Generally, the user who sets the qos level service does not suggest approaching or reaching the upper limit, because the user who sets the qos level has the capability of preempting resources, once the user approaches or reaches the upper limit, most of wireless resources are occupied, and the network sensing of the general user is seriously degraded, or even the user cannot access the network, thereby causing complaints of the general user. The capacity determination result of the application has important reference significance for the operator to control the user scale of the service with the set service quality grade and ensure the legal rights and interests of people.
Furthermore, in order to facilitate understanding of the method according to any one of the first to third embodiments, a method for determining the set qos class service capacity will be described in detail in a fourth specific embodiment.
For example, if an operator needs to determine the capacity of a service with a set quality of service level in a certain area, the maximum number of users of the service of the type that can be carried in the area is determined. If the downlink guaranteed bit rate of the user with the set service quality level is 2Mbps, the uplink guaranteed bit rate is 1 Mbps. It is known that the average number of users simultaneously activated during busy hours in the average cell in the area is 20, the average downlink rate during busy hours is 5Mbps, and the average uplink rate during busy hours is 0.5 Mbps.
According to the formula (1) and the formula (3), the downlink average capacity of the cell set service quality grade service meeting the downlink guaranteed bit rate can be calculated.
Firstly, the downlink average actual maximum rate of cell transmission is calculated by the following formula:
Q D ＝λ×R D ＝20×5＝100Mbps
then, the downlink average capacity of the service with the set service quality level of the cell is calculated by using the following formula:
according to the above formula (4), formula (5) and formula (6), the uplink average capacity of the cell-defined qos class service that meets the uplink guaranteed bit rate can be calculated:
one possible implementation is:
first, the uplink average actual maximum rate of cell transmission is calculated using the following formula:
Q U ＝λ×R U ＝20×0.5＝10Mbps
then, the uplink average capacity of the service with the set service quality level of the cell is calculated by using the following formula:
another possible implementation is:
by converting the uplink guaranteed bit rate through the downlink equivalent guaranteed bit rate, and according to the proportional relation between the uplink guaranteed bit rate and the downlink guaranteed bit rate, assuming that the downlink guaranteed bit rate is 3 times of the uplink guaranteed bit rate, the uplink average capacity of the cell set service quality grade service is obtained by utilizing the following calculation:
further, in this embodiment, the average capacity of the cell-specific qos class service that meets the downlink guaranteed bit rate is 50, and the average capacity of the cell-specific qos class service that meets the uplink guaranteed bit rate is 33, for example, the average capacity of the cell-specific qos class service is determined.
In particular, the method comprises the following steps of,
if the guaranteed bit rate GBR corresponding to the service quality class service set by the acquired cell is the downlink guaranteed bit rate GBR, the cell sets the capacity of the service quality class service to be 50 downlink average capacities of the cell.
If the guaranteed bit rate GBR corresponding to the service quality class service set by the acquired cell is the uplink guaranteed bit rate GBR, the capacity of the service quality class service set by the cell is 33 uplink average capacities of the cell.
If the guaranteed bit rate GBR corresponding to the obtained cell-set qos class service is the uplink guaranteed bit rate GBR and the downlink guaranteed bit rate GBR, the average capacity C of the qos class service set for the cell included in the target area is set, and the capacity of the qos class service set for the cell is the minimum capacity of both the average uplink capacity and the average downlink capacity of the cell, that is, C is min (50, 33) or 33. Wherein min (-) represents the minimum value of the two.
Furthermore, after the average capacity of the service quality class set in a single cell is determined, the total capacity of the service quality class set in the target area including the cell is determined.
For example, assuming that the target area requires to guarantee both an uplink guaranteed bit rate and a downlink guaranteed bit rate for cell transmission, the number of cells included in the target area is 1000, and the capacity loss coefficient β is 0.016, according to the above formula (7), it can be determined that the total capacity of the service with the set quality of service level in the target area is:
therefore, 32840 users with the set qos class can be accommodated by the total capacity of the qos class service set in the target area.
Fig. 4 is a schematic structural diagram of a service capacity determining apparatus according to a fourth embodiment of the present application, and as shown in fig. 4, the apparatus includes: an acquisition module 401, a calculation module 402, and a determination module 403.
An obtaining module 401 is configured to obtain a guaranteed bit rate GBR corresponding to a service with a quality of service level set in a cell.
The obtaining module 401 is further configured to obtain, according to the guaranteed bit rate GBR, a utilization rate of a cell communication resource or an average busy hour rate of transmission corresponding to a time period with the highest traffic volume from a network management background of an operator.
A calculating module 402, configured to calculate an average actual maximum rate of cell transmission according to the busy hour average rate.
A determining module 403, configured to determine, according to the average actual maximum rate, an average capacity of a cell-specific qos class service that meets the guaranteed bit rate GBR.
In a possible implementation manner, the calculation module 403 is specifically configured to:
the average actual maximum rate of cell transmission is calculated using the following formula:
Q＝λ×R
wherein Q is the average actual maximum rate of cell transmission, and the average actual maximum rate includes the uplink average actual maximum rate Q U Or downstream average actual maximum rate Q D (ii) a R is the average busy hour rate, including the average up busy hour rate R U Or average rate R of downlink busy hour D (ii) a λ is the average number of users activated simultaneously in busy hours, and λ can be directly obtained from the background of the network manager of the operator, or calculated by the following formula:
λ＝μ×α
wherein mu is the number of users in RRC connection controlled by the average radio resource in busy hour cells; alpha is the average user activation ratio of the busy cell.
In a possible implementation manner, the determining module 403 is specifically configured to:
and calculating the average capacity of the service with the set service quality grade in the cell according to the average actual maximum rate.
And if the guaranteed bit rate GBR corresponding to the service quality grade service set by the acquired cell is the uplink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the uplink average capacity of the cell.
And if the guaranteed bit rate GBR corresponding to the obtained cell setting service quality grade service is the downlink guaranteed bit rate GBR, setting the capacity of the service quality grade service as the downlink average capacity of the cell by the cell.
If the guaranteed bit rate GBR corresponding to the obtained cell-set service quality grade service is the uplink guaranteed bit rate GBR and the downlink guaranteed bit rate GBR, the capacity of the cell-set service quality grade service is the minimum capacity of the uplink average capacity and the downlink average capacity of the cell.
In a possible implementation manner, the calculating module 402 is specifically further configured to:
the average capacity of the cell-defined quality of service class service is calculated using the following formula:
wherein, C sets average capacity of service quality grade service for the cell, and the average capacity includes uplink average capacity C U Or downlink average capacity C D Symbol of
Represents rounding down; r G For guaranteed bit rate GBR, guaranteed bit rate GBR comprises uplink guaranteed bit rate R UG Or downlink guaranteed bit rate R DG Average uplink capacity C U The method can also be obtained by equivalent substitution of the following formula:
wherein R is DEG Bit rate GBR, R for downlink equivalent guarantee DEG Calculated by the following formula:
R DEG ＝R UG ×n
wherein, n is a ratio system Number of And n is more than or equal to 1.
In a possible implementation manner, the obtaining module 401 is specifically further configured to obtain a total number of cells in a target area including the cell. The determining module 403 is further specifically configured to determine, according to the determined average capacity of the service quality level setting service of the cell and the total number of cells in the target area, the total capacity of the service quality level setting service in the target area including the cell.
In a possible implementation manner, the calculating module 402 is specifically further configured to:
the total capacity of the service with the set service quality level in the target area is calculated by the following formula:
wherein, C SD The total capacity of the set service quality grade service meeting the guaranteed bit rate GBR in the target area is obtained; k is the number of cells in the target area; beta is the capacity loss coefficient.
It can be understood that the service capacity determining apparatus provided in this embodiment is configured to execute the technical solution in any of the foregoing method embodiments, and the implementation principle and the technical effect are similar, and are not described herein again.
Fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present application. As shown in fig. 5, the electronic device may include: at least one processor 501 and memory 502.
The memory 502 is used for storing programs. In particular, the program may include program code including computer operating instructions.
Optionally, the electronic device may further comprise a communication interface 503. In a specific implementation, if the communication interface 503, the memory 502 and the processor 501 are implemented independently, the communication interface 503, the memory 502 and the processor 501 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. Buses may be classified as address buses, data buses, control buses, etc., but do not represent only one bus or type of bus.
Optionally, in a specific implementation, if the communication interface 503, the memory 502, and the processor 501 are integrated into a chip, the communication interface 503, the memory 502, and the processor 501 may complete communication through an internal interface.
The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, specifically, the computer-readable storage medium stores program instructions, and the program instructions are used in the method for determining the service capacity in the foregoing embodiment.
The present application also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the electronic device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the electronic device to implement the method for determining the service capacity provided by the various embodiments described above.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A method for determining traffic capacity, comprising:
acquiring guaranteed bit rate GBR corresponding to a cell set service quality grade service;
acquiring the utilization rate of the cell communication resources or the busy hour average rate of the corresponding transmission of the highest traffic time period from the background of the network management of the operator according to the guaranteed bit rate GBR;
calculating the average actual maximum rate of the cell transmission according to the busy hour average rate;
and determining the average capacity of the cell setting service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate.
2. The method of claim 1, wherein said calculating an average actual maximum rate of transmissions for said cell based on said busy hour average rate comprises:
calculating an average actual maximum rate of transmission for the cell using the following formula:
Q＝λ×R
wherein Q is an average actual maximum rate of the cell transmission, and the average actual maximum rate includes an uplink average actual maximum rate Q U Or downstream average actual maximum speedRate Q D (ii) a R is the average busy hour rate, and the average busy hour rate comprises the average uplink busy hour rate R U Or average rate R of downlink busy hour D (ii) a λ is the average number of users simultaneously activated in busy hours, and λ is directly obtained from the background of the network manager of the operator or calculated by the following formula:
λ＝μ×α
wherein mu is the number of users in RRC connection controlled by the average radio resource in busy hour cells; alpha is the average user activation ratio of the busy cell.
3. The method of claim 2, wherein the determining an average capacity of the cell-specific QoS class service that meets the Guaranteed Bit Rate (GBR) according to the average actual maximum rate comprises:
calculating the average capacity of the service with the set service quality grade of the cell according to the average actual maximum rate;
if the guaranteed bit rate GBR corresponding to the service quality grade service set by the cell is the uplink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the uplink average capacity of the cell;
if the guaranteed bit rate GBR corresponding to the service quality grade service set by the acquired cell is the downlink guaranteed bit rate GBR, setting the capacity of the service quality grade service by the cell as the downlink average capacity of the cell;
if the guaranteed bit rate GBR corresponding to the obtained cell-set service quality class service is the uplink guaranteed bit rate GBR and the downlink guaranteed bit rate GBR, the capacity of the cell-set service quality class service is the minimum capacity of the uplink average capacity and the downlink average capacity of the cell.
4. The method of claim 3, wherein the calculating an average capacity for the cell-specific QoS class service based on the average actual maximum rate comprises:
calculating the average capacity of the service with the set service quality level of the cell by using the following formula:
wherein C sets the average capacity of the service quality grade service for the cell, and the average capacity comprises the uplink average capacity C U Or downlink average capacity C D Symbol of
Represents rounding down; r G For guaranteed bit rate GBR, the guaranteed bit rate GBR comprises an uplink guaranteed bit rate R UG Or downlink guaranteed bit rate R DG Said upstream average capacity C U The method can also be obtained by equivalent substitution of the following formula:
wherein R is DEG For downlink equivalent guaranteed bit rate GBR, said R DEG Calculated by the following formula:
R DEG ＝R UG ×n
wherein n is a proportionality coefficient, and n is more than or equal to 1.
5. The method of claim 1, wherein after determining an average capacity of the cell-defined quality of service class services that satisfy the Guaranteed Bit Rate (GBR) according to the average actual maximum rate, further comprising:
acquiring the total number of cells in a target area containing the cells;
and determining the total capacity of the set service quality grade service in the target area including the cell according to the determined average capacity of the set service quality grade service of the cell and the total number of the cells in the target area.
6. The method of claim 5, wherein the determining the total capacity of the set QoS class service in the target area including the cell according to the determined average capacity of the set QoS class service of the cell and the total number of cells in the target area comprises:
calculating the total capacity of the set QoS class service in the target area by using the following formula:
wherein, C SD The total capacity of the set service quality grade service meeting the guaranteed bit rate GBR in the target area is obtained; k is the number of cells in the target area; beta is the capacity loss coefficient.
7. An apparatus for determining traffic capacity, comprising:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a guaranteed bit rate GBR corresponding to a service with a set service quality grade of a cell;
the obtaining module is further configured to obtain, according to the guaranteed bit rate GBR, a busy hour average rate of transmission corresponding to the cell communication resource utilization rate or the highest traffic time period from a network management background of an operator;
a calculating module, configured to calculate an average actual maximum rate of the cell transmission according to the busy hour average rate;
and the determining module is used for determining the average capacity of the cell setting service quality grade service meeting the guaranteed bit rate GBR according to the average actual maximum rate.
8. The apparatus of claim 7, wherein the computing module is specifically configured to:
calculating an average actual maximum rate of transmission for the cell using the following formula:
Q＝λ×R
wherein Q is an average actual maximum rate of the cell transmission, and the average actual maximum rate includes an uplink average actual maximum rate Q U Or downstream average actual maximum rate Q D (ii) a R is the average busy hour rate, and the average busy hour rate comprises the average uplink busy hour rate R U Or average rate R of downlink busy hour D (ii) a λ is the average number of users simultaneously activated in busy hours, and λ is directly obtained from the background of the network manager of the operator or calculated by the following formula:
λ＝μ×α
wherein mu is the average number of users in the busy hour cell for controlling RRC connection; and alpha is the average user activation ratio of busy cell.
9. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to implement the method of any of claims 1 to 6.
10. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, are configured to implement the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210502363.XA CN114828050B (en) | 2022-05-10 | 2022-05-10 | Method, device, equipment and medium for determining service capacity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210502363.XA CN114828050B (en) | 2022-05-10 | 2022-05-10 | Method, device, equipment and medium for determining service capacity |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114828050A true CN114828050A (en) | 2022-07-29 |
| CN114828050B CN114828050B (en) | 2024-04-30 |
Family
ID=82513356
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210502363.XA Active CN114828050B (en) | 2022-05-10 | 2022-05-10 | Method, device, equipment and medium for determining service capacity |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114828050B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116390106A (en) * | 2023-04-18 | 2023-07-04 | 国脉通信规划设计有限公司 | Intelligent community 5G network planning method |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0673138B1 (en) * | 1994-03-17 | 2005-02-02 | Fujitsu Limited | Connection admission control method for ATM network |
| WO2007064292A1 (en) * | 2005-12-02 | 2007-06-07 | Telefonaktiebolaget Lm Ericsson (Publ) | Flow control for low bitrate users on high speed downlink |
| EP1986455A1 (en) * | 2007-04-27 | 2008-10-29 | Matsushita Electric Industrial Co., Ltd. | Communication of scheduling related information in a mobile communication system |
| CN101895934A (en) * | 2009-05-20 | 2010-11-24 | 大唐移动通信设备有限公司 | Method and device for optimizing system capacity dynamically |
| CN102281589A (en) * | 2010-06-12 | 2011-12-14 | 普天信息技术研究院有限公司 | High-speed downlink packet service self-adaptive flow control method and device |
| US20120002541A1 (en) * | 2010-07-01 | 2012-01-05 | Verizon Patent And Licensing Inc. | Flow-based proactive connection admission control (cac) in wireless networks |
| US20140274080A1 (en) * | 2013-03-15 | 2014-09-18 | Motorola Solutions, Inc. | Method and apparatus for queued admissions control in a wireless communication system |
| CN104936188A (en) * | 2014-03-21 | 2015-09-23 | 中国移动通信集团公司 | Method of determining wireless network resource utilization rate and apparatus thereof |
| WO2017067505A1 (en) * | 2015-10-23 | 2017-04-27 | 中国联合网络通信集团有限公司 | Network capacity enlargement method and device |
| CN108966238A (en) * | 2017-05-18 | 2018-12-07 | 上海大唐移动通信设备有限公司 | A kind of network expansion method and device |
| CN109688589A (en) * | 2017-10-19 | 2019-04-26 | 中国电信股份有限公司 | Wireless network capacitance planning method and device |
| CN109982390A (en) * | 2017-12-28 | 2019-07-05 | 中国移动通信集团湖北有限公司 | Customer service support method, device, equipment and medium |
| CN110290540A (en) * | 2018-03-19 | 2019-09-27 | 中国移动通信集团吉林有限公司 | A kind of method and device of determining cell capacity |
| CN110505650A (en) * | 2018-05-16 | 2019-11-26 | 中国移动通信集团广东有限公司 | Random isomery Hierarchical Network capacity intelligent evaluation method and device |
-
2022
- 2022-05-10 CN CN202210502363.XA patent/CN114828050B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0673138B1 (en) * | 1994-03-17 | 2005-02-02 | Fujitsu Limited | Connection admission control method for ATM network |
| WO2007064292A1 (en) * | 2005-12-02 | 2007-06-07 | Telefonaktiebolaget Lm Ericsson (Publ) | Flow control for low bitrate users on high speed downlink |
| EP1986455A1 (en) * | 2007-04-27 | 2008-10-29 | Matsushita Electric Industrial Co., Ltd. | Communication of scheduling related information in a mobile communication system |
| CN101895934A (en) * | 2009-05-20 | 2010-11-24 | 大唐移动通信设备有限公司 | Method and device for optimizing system capacity dynamically |
| CN102281589A (en) * | 2010-06-12 | 2011-12-14 | 普天信息技术研究院有限公司 | High-speed downlink packet service self-adaptive flow control method and device |
| US20120002541A1 (en) * | 2010-07-01 | 2012-01-05 | Verizon Patent And Licensing Inc. | Flow-based proactive connection admission control (cac) in wireless networks |
| US20140274080A1 (en) * | 2013-03-15 | 2014-09-18 | Motorola Solutions, Inc. | Method and apparatus for queued admissions control in a wireless communication system |
| CN104936188A (en) * | 2014-03-21 | 2015-09-23 | 中国移动通信集团公司 | Method of determining wireless network resource utilization rate and apparatus thereof |
| WO2017067505A1 (en) * | 2015-10-23 | 2017-04-27 | 中国联合网络通信集团有限公司 | Network capacity enlargement method and device |
| CN108966238A (en) * | 2017-05-18 | 2018-12-07 | 上海大唐移动通信设备有限公司 | A kind of network expansion method and device |
| CN109688589A (en) * | 2017-10-19 | 2019-04-26 | 中国电信股份有限公司 | Wireless network capacitance planning method and device |
| CN109982390A (en) * | 2017-12-28 | 2019-07-05 | 中国移动通信集团湖北有限公司 | Customer service support method, device, equipment and medium |
| CN110290540A (en) * | 2018-03-19 | 2019-09-27 | 中国移动通信集团吉林有限公司 | A kind of method and device of determining cell capacity |
| CN110505650A (en) * | 2018-05-16 | 2019-11-26 | 中国移动通信集团广东有限公司 | Random isomery Hierarchical Network capacity intelligent evaluation method and device |
Non-Patent Citations (5)
| Title |
|---|
| OLAV ØSTERBØ: "Scheduling and capacity estimation in LTE", 《2011 23RD INTERNATIONAL TELETRAFFIC CONGRESS (ITC)》, 10 October 2011 (2011-10-10) * |
| 人人网网友: "无线网络速率与容量的计算", 《HTTPS://WWW.RENRENDOC.COM/PAPER/184388054.HTML》, 12 January 2022 (2022-01-12) * |
| 曹艳霞等: "5G业务信道用户容量分析", 《网络规划》, 30 April 2021 (2021-04-30) * |
| 李宏辉: "基于用户分布和用户感知的无线网络规划方法探讨", 《互联网天地》, 1 December 2014 (2014-12-01) * |
| 黄小光;汪伟;徐辉;董俊华;: "面向业务感知的4G网络容量保障标准研究", 电信技术, no. 02, 25 February 2017 (2017-02-25) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116390106A (en) * | 2023-04-18 | 2023-07-04 | 国脉通信规划设计有限公司 | Intelligent community 5G network planning method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114828050B (en) | 2024-04-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102917466B (en) | Priority scheduling and admission control in a communication network | |
| US10091644B2 (en) | System and method for implementing capability exposure, and capability exposure platform | |
| US8233448B2 (en) | Apparatus and method for scheduler implementation for best effort (BE) prioritization and anti-starvation | |
| JP3924536B2 (en) | Evaluation method of network for mobile communication equipment | |
| US20080045230A1 (en) | Enhanced load based wireless call admission control | |
| CN109951347B (en) | Service identification method, device and network equipment | |
| KR100561615B1 (en) | Apparatus and method of call admission control for QoS provisioning in highspeed protable internet network | |
| US20060171314A1 (en) | Method and system for evaluting number of additional admissible calls for use in call admission control | |
| US8433329B2 (en) | System and method for prioritizing user communications | |
| CN105992282B (en) | Method and device for adjusting quality of service parameters | |
| CN106332088B (en) | Frequency spectrum sharing method based on user fairness among different operators | |
| CN104053183B (en) | A kind of method for managing network resource of LTE system | |
| KR100705447B1 (en) | Mobile terminal and method for qos setting | |
| KR101749200B1 (en) | Method and apparatus for admission control of wireless communications network | |
| CN100417290C (en) | Congestion control method in No.3 generation mobile communication system | |
| CN102469504A (en) | Network congestion decision method and equipment for wireless communication system | |
| CN110769469A (en) | Resource allocation method and base station | |
| CN114828050B (en) | Method, device, equipment and medium for determining service capacity | |
| Navarro-Ortiz et al. | Quality of experience based resource sharing in IEEE 802.11 e HCCA | |
| EP3366060B1 (en) | Allocating radio resources in a cellular network | |
| KR100806215B1 (en) | Method And System for Providing Packet Scheduling for Use in Portable Internet | |
| Balasubramanian | QoS in cellular networks | |
| CN116017567A (en) | Data transmission method and device | |
| CN114268987A (en) | Method, device and computer readable medium for adjusting service quality policy | |
| CN109951329B (en) | Network resource scheduling method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |