CN112020073A - Cell classification method and device - Google Patents

Cell classification method and device Download PDF

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Publication number
CN112020073A
CN112020073A CN202010796680.8A CN202010796680A CN112020073A CN 112020073 A CN112020073 A CN 112020073A CN 202010796680 A CN202010796680 A CN 202010796680A CN 112020073 A CN112020073 A CN 112020073A
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cell
flow
pdcch
total
busy hour
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CN112020073B (en
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曹艳霞
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24—Cell structures
    • H04W16/26—Cell enhancers or enhancement, e.g. for tunnels, building shadow
    • 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

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a cell classification method and a cell classification device, and relates to the technical field of communication. The method comprises the following steps: first, a total flow rate of a cell in each of a plurality of periods and a load rate of a PDCCH of the cell in each of the plurality of periods are acquired, respectively. Then, the total busy hour flow of the cell is determined according to the total flow of the cell in each period of a plurality of periods. And then, determining the total busy hour flow of the PDCCH of the cell according to the total flow of the PDCCH of the cell in each period of a plurality of periods and the load rate of the PDCCH of the cell in each period of the plurality of periods. Next, the busy hour traffic ratio of the PDCCH of the cell is determined. And finally, determining the type of the cell according to the busy hour total flow of the cell and the busy hour flow ratio of the PDCCH of the cell. It can be seen that the present invention determines the traffic type of a cell through the traffic application characteristics of the cell (the ratio of the total busy hour traffic of the cell to the busy hour traffic of the PDCCH of the cell). Therefore, the problem of how to classify the cells according to the service application characteristics of the cells is solved.

Description

Cell classification method and device
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for classifying cells.
Background
When a fifth generation mobile communication technology (5th generation wireless systems, 5G) cell is expanded, capacity analysis or expansion demand analysis needs to be performed on the 5G cell. Due to the complexity and the service richness of the 5G network service application, it is difficult to use a uniform standard for measurement when performing capacity analysis or capacity expansion requirement analysis on a 5G cell. Therefore, 5G cells need to be classified according to their service application characteristics, so as to employ different capacity analysis procedures and parameters for different types of 5G cells. However, there is no method for classifying 5G cells according to service application characteristics of the 5G cells in the related art.
Disclosure of Invention
The invention provides a cell classification method and a cell classification device, which are used for solving the problem of classifying cells according to service application characteristics of the cells.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for classifying cells, including: first, a total flow rate of a cell in each of a plurality of periods and a load factor of a downlink control channel (PDCCH) of the cell in each of the plurality of periods are acquired, respectively. Then, the total busy hour flow of the cell is determined according to the total flow of the cell in each period of a plurality of periods. And then, determining the total busy hour flow of the PDCCH of the cell according to the total flow of the PDCCH of the cell in each period of a plurality of periods and the load rate of the PDCCH of the cell in each period of the plurality of periods. Next, the busy hour traffic ratio of the PDCCH of the cell is determined. And finally, determining the type of the cell according to the busy hour total flow of the cell and the busy hour flow ratio of the PDCCH of the cell. The total traffic is total traffic of an uplink Medium Access Control (MAC) layer and a downlink MAC layer. The total busy hour flow of the cell is the average value of the total flow of N periods with the maximum total flow in a plurality of periods of the cell, and N is a positive integer. The total busy-time traffic of the PDCCH of the cell is an average value of total traffic of N periods in which the load factor of the PDCCH of the cell is the maximum among a plurality of periods. The ratio of the busy hour traffic of the PDCCH of the cell is the ratio of the total busy hour traffic of the cell to the total busy hour traffic of the PDCCH of the cell.
It can be seen that the present invention determines the traffic type of a cell through the traffic application characteristics of the cell (the ratio of the total busy hour traffic of the cell to the busy hour traffic of the PDCCH of the cell). Therefore, the problem of how to classify the cells according to the service application characteristics of the cells is solved.
In a second aspect, the present invention provides an apparatus for classifying a cell, the apparatus comprising: the device comprises an acquisition unit, a first determination unit, a second determination unit, a third determination unit and a first classification unit. An obtaining unit, configured to obtain a total traffic of each period of a cell in a plurality of periods and a load rate of a PDCCH of the cell in each period of the plurality of periods, respectively, where the total traffic is a total traffic of an uplink MAC layer and a downlink MAC layer. The first determining unit is used for determining the total busy-hour flow of the cell according to the total busy-hour flow of the cell in each period of the plurality of periods, the total busy-hour flow of the cell is the average value of the total flow of the cell in the N periods with the maximum total flow in the plurality of periods, and N is a positive integer. And a second determining unit, configured to determine a total busy-time traffic of the PDCCH of the cell according to a total traffic of the PDCCH of the cell in each of the multiple cycles and a load rate of the PDCCH of the cell in each of the multiple cycles, where the total busy-time traffic of the PDCCH of the cell is an average of the total traffic of the PDCCH of the cell in the N cycles with the largest load rate in the multiple cycles. And a third determining unit, configured to determine a busy hour traffic ratio of the PDCCH of the cell, where the busy hour traffic ratio of the PDCCH of the cell is a ratio of a total busy hour traffic of the cell to a total busy hour traffic of the PDCCH of the cell. And the first classification unit is used for determining the type of the cell according to the busy hour total flow of the cell and the busy hour flow ratio of the PDCCH of the cell.
In a third aspect, the present invention provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a cell classification apparatus, cause the cell classification apparatus to perform the cell classification method according to the first aspect.
In a fourth aspect, the present invention provides a computer program product comprising instructions which, when run on a sorting apparatus for a cell, cause the sorting apparatus for a cell to perform the method for sorting cells according to the first aspect.
In a fifth aspect, the present invention provides a device for classifying cells, including: a processor and a memory, the memory being arranged to store a program, the processor calling the program stored in the memory to perform the method of classifying a cell as described in the first aspect.
Reference may be made to the detailed description of the first aspect and various implementations thereof for specific descriptions of the second to fifth aspects and various implementations thereof in the present disclosure; moreover, the beneficial effects of the second aspect to the fifth aspect and the various implementation manners thereof may refer to the beneficial effect analysis of the first aspect and the various implementation manners thereof, and are not described herein again.
These and other aspects of the invention will be more readily apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a first schematic structural diagram of a cell classification apparatus according to an embodiment of the present invention;
fig. 2 is a first flowchart illustrating a method for classifying cells according to an embodiment of the present invention;
fig. 3 is a second flowchart illustrating a method for classifying cells according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cell classification apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" and the like in the description of the present invention and the drawings are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "comprising" and "having" and any variations thereof as referred to in the description of the invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
It should be noted that in the description of the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or illustrations. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present invention, the meaning of "a plurality" means two or more unless otherwise specified.
The embodiment of the present invention provides a cell classification method, which may be executed by the cell classification apparatus 100. Fig. 1 shows a hardware configuration of a classification apparatus 100 of cells. As shown in fig. 1, the cell classifying apparatus 100 may include at least one processor 101, a communication line 102, a memory 103, and a communication interface 104.
Specifically, the processor 101 is configured to execute computer-executable instructions stored in the memory 103, so as to implement steps or actions of the terminal.
The processor 101 may be a chip. For example, the Field Programmable Gate Array (FPGA) may be an Application Specific Integrated Circuit (ASIC), a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit (DSP), a Micro Controller Unit (MCU), a Programmable Logic Device (PLD) or other integrated chips.
A communication line 102 for transmitting information between the processor 101 and the memory 103.
The memory 103 is used for storing and executing computer execution instructions and is controlled by the processor 101 to execute.
The memory 103 may be separate and coupled to the processor via the communication line 102. The memory 103 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM). It should be noted that the memory of the systems and apparatus described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
A communication interface 104 for communicating with other devices or a communication network. The communication network may be an ethernet, a Radio Access Network (RAN), or a Wireless Local Area Network (WLAN).
The method for classifying cells according to the embodiment of the present invention will be described with reference to the apparatus 100 for classifying cells shown in fig. 1.
As shown in fig. 2, the method for classifying cells according to the embodiment of the present invention includes:
s201, the cell classification device 100 obtains the total flow rate of the cell in each of the plurality of periods and the load factor of the PDCCH of the cell in each of the plurality of periods.
Wherein, the total flow is the total flow of the uplink MAC layer and the downlink MAC layer. Cells include, but are not limited to, 5G cells.
The multiple cycles may be on the same day, week, month, quarter, or year. The duration of each of the plurality of cycles may be 1 hour.
The load rate of the PDCCH may be a ratio of a number of CCEs (control channel elements) occupied by the PDCCH to an available number of CCEs of the PDCCH.
S202, the cell classification device 100 determines the total busy hour traffic of the cell according to the total traffic of the cell in each of a plurality of cycles.
The total busy hour flow of the cell is an average value of total flow of N periods with the largest total flow in a plurality of periods of the cell, N is a positive integer, and a value of N may be 3. The total traffic in busy hours of a cell may be SmaxAnd (4) showing.
Optionally, the total busy hour traffic of the cell may also be a weighted average of the total traffic of N cycles in which the total traffic of the cell is maximum in the multiple cycles.
Specifically, S202 may include:
the classification apparatus 100 of the cell determines N traffic busy periods of the cell.
The busy hour period of the cell is N periods with the maximum total flow in a plurality of periods of the cell.
The classification device 100 of the cell determines the average of the total traffic of the N traffic busy hour periods of the cell.
The cell classification device 100 determines the total busy hour traffic of the cell based on the average of the total traffic of the N busy hour periods of the cell.
S203, the cell classification device 100 determines the total busy hour traffic of the PDCCH of the cell according to the total traffic of the cell in each of the plurality of periods and the load factor of the PDCCH of the cell in each of the plurality of periods.
The total busy hour flow of the PDCCH of the cell is an average value of total flow of N periods with the largest load factor among a plurality of periods of the PDCCH of the cell. The total traffic in busy time of PDCCH of a cell can be SPDCCHAnd (4) showing.
Optionally, the total busy-time traffic of the PDCCH of the cell may also be a weighted average of total traffic of N periods with the largest load rate among a plurality of periods of the PDCCH of the cell.
Specifically, S203 may include:
the classification apparatus 100 of the cell determines N busy hour periods of the PDCCH of the cell.
The N busy periods of the PDCCH of the cell are N periods with the largest load rate in a plurality of periods of the PDCCH of the cell.
The cell classification device 100 determines an average value of the total flow of N busy hour periods of the PDCCH of the cell.
The cell classification device 100 determines the total busy hour traffic of the PDCCH of the cell based on the average of the total traffic of the PDCCH of the cell for N busy hour periods.
S204, the cell classification device 100 determines the busy hour traffic ratio of the PDCCH of the cell.
The busy hour flow ratio of the PDCCH of the cell is the ratio of the total busy hour flow of the cell to the total busy hour flow of the PDCCH of the cell.
Alternatively, the relation "busy hour traffic ratio of PDCCH of cell ═ S" may be usedPDCCH/Smax"determine busy hour traffic ratio of PDCCH of cell.
S205, the cell classification device 100 determines the type of the cell based on the busy hour total traffic of the cell and the busy hour traffic ratio of the PDCCH of the cell.
Specifically, S205 may include:
if the total busy hour traffic of the cell is greater than the first threshold and the busy hour traffic ratio of the PDCCH of the cell is greater than the second threshold, the classification device 100 of the cell determines that the cell is a high-traffic cell.
If the total busy hour flow of the cell is greater than the first threshold and the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, the classification device 100 of the cell determines that the cell is a mixed cell of the high flow service and the packet service.
If the total busy hour traffic of the cell is less than or equal to the first threshold and the busy hour traffic ratio of the PDCCH of the cell is greater than the second threshold, the classification device 100 of the cell determines that the cell is a low-flow service cell.
If the total busy hour flow of the cell is less than or equal to the first threshold and the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, the classification device 100 of the cell determines that the cell is a low-flow service cell or a small-packet service cell.
Wherein the first threshold may be SthMeaning that the first threshold may take on a value of 10 Gigabytes (GB)/hour (hour).
The second threshold may be betathThat is, the value range of the second threshold is [0, 1 ]]The value of the second threshold may be 0.7.
The high-flow service cell is a cell with higher service flow. For example, the service types with high requirements on service rate and traffic, such as video, games, and download, are mainly used.
The mixed cell of the high flow service and the packet service is a cell which has the characteristics of both the high flow service cell and the packet service cell.
The packet service cell is a cell which frequently transmits packets and has a small packet data amount.
Packet services refer to services similar to a heartbeat mechanism, and in order to implement instant messaging, messages such as signaling are often sent periodically, and even if the messages run in a background, the messages are kept in an online state. The amount of data packets transmitted each time is small, but relatively frequently, and much overhead is occupied for the control channel.
The low-flow service cell is a cell with lower service flow. For example, the cell mainly refers to a service type with low service rate and low traffic demand, such as browsing a webpage and reading online.
As can be seen from the above steps (S201-S205), the method for classifying a cell according to the embodiment of the present invention determines the service type of the cell according to the service application characteristics of the cell (i.e., the ratio between the total busy hour traffic of the cell and the busy hour traffic of the PDCCH of the cell). Therefore, the problem of how to classify the cells according to the service application characteristics of the cells is solved.
With reference to fig. 2, as shown in fig. 3, the method for classifying cells according to the embodiment of the present invention further includes:
s206, the cell classification device 100 determines the average value of the load factors of the N busy periods of the PDCCH of the cell.
S207, the cell classification device 100 determines the busy hour load rate of the PDCCH of the cell based on the average of the load rates of the N busy hour periods of the PDCCH of the cell.
The busy hour load rate of the PDCCH of the cell is the average value of the load rates of the PDCCH of the cell in N periods with the maximum load rate in a plurality of periods.
Optionally, the busy hour load rate of the PDCCH of the cell may also be a weighted average of the load rates of the PDCCH of the cell in N cycles with the largest load rate among multiple cycles.
Optionally, if the total busy hour traffic of the cell is less than or equal to the first threshold and the busy hour traffic ratio of the DCCH of the cell is less than or equal to the second threshold, the determining, by the classification device 100 of the cell, that the cell is a low-flow service cell or a small-packet service cell may include:
if the total busy hour flow of the cell is less than or equal to a first threshold, the busy hour flow ratio of the PDCCH of the cell is less than or equal to a second threshold, and the busy hour load rate of the PDCCH of the cell is greater than a third threshold, the classification device 100 of the cell determines that the cell is a small packet service cell.
If the total busy hour traffic of the cell is less than or equal to the first threshold, the busy hour traffic ratio of the PDCCH of the cell is less than or equal to the second threshold, and the busy hour load rate of the PDCCH of the cell is less than or equal to the third threshold, the classification device 100 of the cell determines that the cell is a low-flow service cell.
Wherein the third thresholdThe value can be represented by [. eta. ]thThat is, the value range of the third threshold is [0, 1 ]]The value of the third threshold may be 0.5.
When the total busy hour flow of a cell is less than or equal to a first threshold, the busy hour flow ratio of a PDCCH of the cell is less than or equal to a second threshold, and the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, the cell is not divided into a mixed cell of low flow service and packet service because the low flow service and the packet service have the characteristic that the data volume is small, the main difference point of the low flow service and the packet service is the overhead of a control channel, the overhead of the packet service on the control channel is large, and the low flow service and the packet service can be further distinguished through the PDCCH load; when the total busy hour flow of the cell is greater than a first threshold and the busy hour flow ratio of the PDCCH of the cell is less than or equal to a second threshold, the cell is determined to be a mixed cell of high flow service + packet service because the overhead of the control channel is relatively large for the high flow service when the packet service and the high flow service are mixed together, and therefore the two types of services cannot be distinguished.
The cell classification method provided by the embodiment of the invention can be used for classifying the cells of a New Radio (NR) system.
The embodiment of the invention also provides a cell capacity expansion analysis method. The method comprises the following steps:
firstly, determining a Physical Downlink Shared Channel (PDSCH) load type of a cell, then determining a PDSCH capacity expansion threshold according to the PDSCH load type of the cell, and then judging according to the busy hour utilization rate of the PDSCH of the cell.
And if the busy hour utilization rate of the PDSCH of the cell is less than or equal to the busy hour utilization rate threshold value of the PDSCH, carrying out capacity expansion analysis according to the busy hour utilization rate of the PDCCH of the cell.
Specifically, the capacity expansion analysis according to the busy hour utilization rate of the PDCCH includes:
if the busy hour utilization rate of the PDCCH of the cell is greater than the busy hour utilization rate threshold value of the PDCCH, firstly, the configuration optimization is carried out on the downlink resource of the cell, and then the resource-free capacity expansion requirement of the cell is determined.
And if the busy hour utilization rate of the PDCCH of the cell is less than or equal to the busy hour utilization rate threshold value of the PDCCH, directly determining the resource-free capacity expansion requirement of the cell.
And if the busy hour utilization rate of the PDSCH of the cell is greater than the busy hour utilization rate threshold value of the PDSCH, carrying out capacity expansion analysis according to the cell type.
Specifically, the performing capacity expansion analysis according to the cell type includes:
if the cell is a high-flow service cell or a mixed cell of high-flow service and packet service, the flow threshold of the cell is determined according to the type of the cell. And then, judging according to the busy hour flow of a downlink MAC layer of the cell.
And if the busy hour flow of the downlink MAC layer of the cell is greater than the busy hour flow threshold value of the downlink MAC layer, performing capacity expansion analysis according to the number of downlink layers of the cell.
Specifically, the performing capacity expansion analysis according to the number of downlink layers of the cell includes:
and if the downlink layer number of the cell is greater than the threshold value of the downlink layer number, determining that the cell has downlink resources and the capacity expansion requirement of the transmission layer number.
If the downlink layer number of the cell is less than or equal to the downlink layer number threshold value, optimizing the cell according to a user pairing algorithm, and if the cell does not have an optimization item, determining that the cell has a downlink resource capacity expansion requirement.
If the busy hour flow of the downlink MAC layer of the cell is less than or equal to the busy hour flow threshold value of the downlink MAC layer, optimizing the downlink spectrum efficiency of the cell according to an optimization algorithm, and then determining the resource-free capacity expansion requirement of the cell.
If the cell is a packet service cell, firstly, the judgment is carried out according to the number of users connected in the RRC busy hour of the cell. If the number of users connected in the cell in the RRC busy hour is larger than the threshold value of the number of users connected in the RRC busy hour, the cell is determined to have the capacity expansion requirement of a Radio Resource Control (RRC) license (license). And if the number of users connected in the RRC busy hour of the cell is less than or equal to the threshold value of the number of users connected in the RRC busy hour, determining that the cell has no capacity expansion requirement temporarily.
And if the cell is a low-flow service cell, determining that the cell has no capacity expansion requirement temporarily.
The scheme provided by the embodiment of the invention is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, with the exemplary elements and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The classification apparatus 100 of the cell according to the embodiment of the present invention may perform functional module division according to the above method, for example, each functional module may be divided according to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
An embodiment of the present invention provides a cell classification apparatus 100, configured to perform the above cell classification method, and as shown in fig. 4, the cell classification apparatus 100 includes: an acquisition unit 401, a first determination unit 402, a second determination unit 403, a third determination unit 404, and a first classification unit 405.
An obtaining unit 401 is configured to obtain a total traffic of each period of the cell in the multiple periods and a load rate of the PDCCH of the cell in each period of the multiple periods, where the total traffic is a total traffic of the uplink MAC layer and the downlink MAC layer. For example, in conjunction with fig. 2, the obtaining unit 401 may be configured to perform S201.
A first determining unit 402, configured to determine a total busy-time traffic of the cell according to a total traffic of the cell in each of a plurality of periods, where the total busy-time traffic of the cell is an average of total traffic of N periods where the total traffic of the cell is maximum in the plurality of periods, and N is a positive integer. For example, in conjunction with fig. 2, the first determining unit 402 may be configured to perform S202.
A second determining unit 403, configured to determine a total busy-time traffic of the PDCCH of the cell according to a total traffic of the PDCCH of the cell in each of the multiple cycles and a load factor of the PDCCH of the cell in each of the multiple cycles, where the total busy-time traffic of the PDCCH of the cell is an average of the total traffic of the PDCCH of the cell in the N cycles with the largest load factor in the multiple cycles. For example, in conjunction with fig. 2, the second determination unit 403 may be configured to perform S203.
A third determining unit 404, configured to determine a busy hour traffic ratio of the PDCCH of the cell, where the busy hour traffic ratio of the PDCCH of the cell is a ratio of a total busy hour traffic of the cell to a total busy hour traffic of the PDCCH of the cell. For example, in conjunction with fig. 2, the third determining unit 404 may be configured to perform S204.
A first classification unit 405, configured to determine a type of a cell according to a busy hour total flow rate of the cell and a busy hour flow rate ratio of a PDCCH of the cell. For example, in conjunction with fig. 2, the first classification unit 405 may be used to perform S205.
The first determining unit 402 is specifically configured to: and determining N busy periods of the cell, wherein the busy periods of the cell are N periods with the maximum total flow in a plurality of periods. An average of the total traffic for the N busy hour periods of the cell is determined. And determining the busy hour total flow of the cell according to the average value of the total flow of the N busy hour periods of the flow of the cell.
The second determining unit 403 is specifically configured to: and determining N busy periods of the PDCCH of the cell, wherein the N busy periods of the PDCCH of the cell are N periods with the largest load rate in a plurality of periods. An average of a total traffic of N busy hour periods of a PDCCH of a cell is determined. And determining the total busy hour flow of the PDCCH of the cell according to the average value of the total busy hour flows of the PDCCH of the cell in N busy hour periods.
The first classification unit 405 is specifically configured to: and if the total busy hour flow of the cell is greater than a first threshold value and the busy hour flow ratio of the PDCCH of the cell is greater than a second threshold value, determining that the cell is a high-flow service cell and the high-flow service cell is a cell with higher service flow. If the total busy hour flow of the cell is greater than a first threshold value and the busy hour flow ratio of the PDCCH of the cell is less than or equal to a second threshold value, the cell is determined to be a mixed cell of high flow service and packet service, the mixed cell of the high flow service and the packet service is a cell which has the characteristics of both the high flow service cell and the packet service cell, and the packet service cell is a cell which frequently sends data packets and has smaller data packet data flow. And if the total busy hour flow of the cell is less than or equal to a first threshold and the busy hour flow ratio of the PDCCH of the cell is greater than a second threshold, determining that the cell is a low-flow service cell and the low-flow service cell is a cell with lower service flow. And if the total busy hour flow of the cell is less than or equal to a first threshold value and the busy hour flow ratio of the PDCCH of the cell is less than or equal to a second threshold value, determining that the cell is a low-flow service cell or a small-packet service cell.
As shown in fig. 4, the apparatus 100 for classifying cells may further include: a fourth determination unit 406 and a fifth determination unit 407.
A fourth determining unit 406, configured to determine an average value of the load rates of the N busy hour periods of the PDCCH of the cell. For example, in conjunction with fig. 3, the fourth determination unit 406 may be configured to perform S206.
A fifth determining unit 407, configured to determine the busy hour load rate of the PDCCH of the cell according to an average of the load rates of the N busy hour periods of the PDCCH of the cell, where the busy hour load rate of the PDCCH of the cell is an average of the load rates of the N periods of the PDCCH of the cell with the largest load rate in multiple periods. For example, in conjunction with fig. 3, the fifth determining unit 407 may be configured to execute S207.
Optionally, the first classification unit 405 is specifically configured to: and if the total busy hour flow of the cell is less than or equal to a first threshold, the busy hour flow ratio of the PDCCH of the cell is less than or equal to a second threshold, and the busy hour load rate of the PDCCH of the cell is greater than a third threshold, determining that the cell is a small packet service cell. And if the total busy hour flow of the cell is less than or equal to a first threshold, the busy hour flow ratio of the PDCCH of the cell is less than or equal to a second threshold, and the busy hour load rate of the PDCCH of the cell is less than or equal to a third threshold, determining that the cell is a low-flow service cell.
Specifically, as shown in fig. 1 and 4. The acquiring unit 401, the first determining unit 402, the second determining unit 403, the third determining unit 404, the first classifying unit 405, the fourth determining unit 406, and the fifth determining unit 407 in fig. 4 call a program in the memory 103 via the communication line 102 by the processor 101 in fig. 1 to execute the above-described cell classification method.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided by the present invention, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (12)

1. A method for classifying a cell, comprising:
respectively obtaining total flow of a cell in each period of a plurality of periods and a load rate of a physical downlink shared channel (PDCCH) of the cell in each period of the plurality of periods, wherein the total flow is total flow of an uplink Medium Access Control (MAC) layer and a downlink MAC layer;
determining the total busy hour flow of the cell according to the total flow of the cell in each period of the plurality of periods, wherein the total busy hour flow of the cell is the average value of the total flow of the cell in the N periods with the maximum total flow of the plurality of periods, and N is a positive integer;
determining the total busy-time flow of the PDCCH of the cell according to the total flow of the PDCCH of the cell in each period of the plurality of periods and the load rate of the PDCCH of the cell in each period of the plurality of periods, wherein the total busy-time flow of the PDCCH of the cell is the average value of the total flow of the PDCCH of the cell in N periods with the maximum load rate in the plurality of periods;
determining a busy hour flow ratio of the PDCCH of the cell, wherein the busy hour flow ratio of the PDCCH of the cell is a ratio of a busy hour total flow of the cell to a busy hour total flow of the PDCCH of the cell;
and determining the type of the cell according to the busy hour total flow of the cell and the busy hour flow ratio of the PDCCH of the cell.
2. The method of claim 1, wherein the determining the total amount of busy hours for the cell based on the total amount of traffic for the cell in each of the plurality of cycles comprises:
determining N busy periods of traffic of the cell, wherein the busy periods of traffic of the cell are N periods with the largest total traffic of the cell in the multiple periods;
determining an average value of total flow of N busy hour periods of flow of the cell;
and determining the total busy hour flow of the cell according to the average value of the total busy hour flow of the N busy hour periods of the cell.
3. The method according to claim 1 or 2, wherein the determining the total busy-time traffic of the PDCCH of the cell according to the total traffic of the PDCCH of the cell in each of the plurality of periods and the load rate of the PDCCH of the cell in each of the plurality of periods comprises:
determining N busy hour periods of the PDCCH of the cell, wherein the N busy hour periods of the PDCCH of the cell are N periods with the largest load rate in the plurality of periods;
determining an average of a total flow of N busy hour periods of a PDCCH of the cell;
and determining the total busy hour flow of the PDCCH of the cell according to the average value of the total busy hour flow of the PDCCH of the cell in N busy hour periods.
4. The method of claim 3, wherein the determining the type of the cell according to the busy hour total traffic of the cell and the busy hour traffic ratio of the PDCCH of the cell comprises:
if the total busy hour flow of the cell is greater than a first threshold value and the busy hour flow ratio of the PDCCH of the cell is greater than a second threshold value, determining that the cell is a high-flow service cell, wherein the high-flow service cell is a cell with higher service flow;
if the total busy hour flow of the cell is greater than the first threshold value and the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold value, determining that the cell is a mixed cell of high flow service and packet service, wherein the mixed cell of the high flow service and the packet service is a cell which has the characteristics of both the high flow service cell and the small packet service cell, and the packet service cell is a cell which frequently sends data packets and has smaller data packet data volume;
if the total busy hour flow of the cell is less than or equal to the first threshold and the busy hour flow ratio of the PDCCH of the cell is greater than the second threshold, determining that the cell is a low-flow service cell, and the low-flow service cell is a cell with lower service flow;
and if the total busy hour flow of the cell is less than or equal to the first threshold and the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, determining that the cell is the low-flow service cell or the packet service cell.
5. The classification method according to claim 4, further comprising:
determining an average value of the load rates of the N busy hour periods of the PDCCH of the cell;
determining the busy hour load rate of the PDCCH of the cell according to the average value of the load rates of the N busy hour periods of the PDCCH of the cell, wherein the busy hour load rate of the PDCCH of the cell is the average value of the load rates of the N periods with the maximum load rate in the plurality of periods of the PDCCH of the cell;
if the total busy-hour traffic of the cell is less than or equal to the first threshold and the busy-hour traffic ratio of the PDCCH of the cell is less than or equal to the second threshold, determining that the cell is the low-flow service cell or the packet service cell includes:
if the total busy hour flow of the cell is less than or equal to the first threshold, the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, and the busy hour load rate of the PDCCH of the cell is greater than a third threshold, determining that the cell is the packet service cell;
and if the total busy hour flow of the cell is less than or equal to the first threshold, the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, and the busy hour load rate of the PDCCH of the cell is less than or equal to the third threshold, determining that the cell is the low-flow service cell.
6. An apparatus for classifying a cell, comprising: the device comprises an acquisition unit, a first determination unit, a second determination unit, a third determination unit and a first classification unit;
the acquiring unit is configured to acquire a total traffic of a cell in each of a plurality of periods and a load rate of a PDCCH of the cell in each of the plurality of periods, where the total traffic is a total traffic of an uplink MAC layer and a downlink MAC layer;
the first determining unit is configured to determine a total busy-hour flow of the cell according to a total flow of the cell in each of the plurality of periods, where the total busy-hour flow of the cell is an average of total flows of N periods where the total flow of the cell in the plurality of periods is the largest, and N is a positive integer;
the second determining unit is configured to determine a total busy-time traffic of the PDCCH of the cell according to a total traffic of the PDCCH of the cell in each of the plurality of periods and a load factor of the PDCCH of the cell in each of the plurality of periods, where the total busy-time traffic of the PDCCH of the cell is an average of total traffic of the PDCCH of the cell in N periods with a maximum load factor in the plurality of periods;
the third determining unit is configured to determine a busy hour traffic ratio of the PDCCH of the cell, where the busy hour traffic ratio of the PDCCH of the cell is a ratio of a total busy hour traffic of the cell to a total busy hour traffic of the PDCCH of the cell;
the first classification unit is configured to determine the type of the cell according to a busy hour total flow of the cell and a busy hour flow ratio of a PDCCH of the cell.
7. The classification device according to claim 6, wherein the first determination unit is specifically configured to:
determining N busy periods of traffic of the cell, wherein the busy periods of traffic of the cell are N periods with the largest total traffic of the cell in the multiple periods;
determining an average value of total flow of N busy hour periods of flow of the cell;
and determining the total busy hour flow of the cell according to the average value of the total busy hour flow of the N busy hour periods of the cell.
8. The classification device according to claim 6 or 7, wherein the second determination unit is specifically configured to:
determining N busy hour periods of the PDCCH of the cell, wherein the N busy hour periods of the PDCCH of the cell are N periods with the largest load rate in the plurality of periods;
determining an average of a total flow of N busy hour periods of a PDCCH of the cell;
and determining the total busy hour flow of the PDCCH of the cell according to the average value of the total busy hour flow of the PDCCH of the cell in N busy hour periods.
9. The classification device according to claim 8, wherein the first classification unit is specifically configured to:
if the total busy hour flow of the cell is greater than a first threshold value and the busy hour flow ratio of the PDCCH of the cell is greater than a second threshold value, determining that the cell is a high-flow service cell, wherein the high-flow service cell is a cell with higher service flow;
if the total busy hour flow of the cell is greater than the first threshold value and the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold value, determining that the cell is a mixed cell of high flow service and packet service, wherein the mixed cell of the high flow service and the packet service is a cell which has the characteristics of both the high flow service cell and the small packet service cell, and the packet service cell is a cell which frequently sends data packets and has smaller data packet data volume;
if the total busy hour flow of the cell is less than or equal to the first threshold and the busy hour flow ratio of the PDCCH of the cell is greater than the second threshold, determining that the cell is a low-flow service cell, and the low-flow service cell is a cell with lower service flow;
and if the total busy hour flow of the cell is less than or equal to the first threshold and the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, determining that the cell is the low-flow service cell or the packet service cell.
10. The classification device according to claim 9, further comprising: a fourth determination unit and a fifth determination unit;
the fourth determining unit is configured to determine an average value of load rates of N busy hour periods of the PDCCH of the cell;
the fifth determining unit is configured to determine the busy hour load rate of the PDCCH of the cell according to an average of load rates of N busy hour periods of the PDCCH of the cell, where the busy hour load rate of the PDCCH of the cell is an average of load rates of N periods of the PDCCH of the cell with a maximum load rate among the plurality of periods;
the first classification unit is specifically configured to:
if the total busy hour flow of the cell is less than or equal to the first threshold, the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, and the busy hour load rate of the PDCCH of the cell is greater than a third threshold, determining that the cell is the packet service cell;
and if the total busy hour flow of the cell is less than or equal to the first threshold, the busy hour flow ratio of the PDCCH of the cell is less than or equal to the second threshold, and the busy hour load rate of the PDCCH of the cell is less than or equal to the third threshold, determining that the cell is the low-flow service cell.
11. An apparatus for classifying a cell, the apparatus comprising: one or more processors, and a memory;
the memory is coupled with the one or more processors; the memory for storing computer program code comprising instructions which, when executed by the one or more processors, cause the apparatus for classifying a cell to perform the method of classifying a cell of any of claims 1-5.
12. A computer-readable storage medium comprising instructions that, when executed on a classification apparatus of a cell, cause the classification apparatus of the cell to perform the method of classifying a cell according to any one of claims 1-5.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114845326A (en) * 2022-04-28 2022-08-02 中国联合网络通信集团有限公司 Wireless network resource configuration method and device, electronic equipment and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017133288A1 (en) * 2016-02-04 2017-08-10 中兴通讯股份有限公司 Method and device for selecting uplink power
WO2017171922A1 (en) * 2016-04-01 2017-10-05 Intel IP Corporation Definition of downlink subframes for license assisted access secondary cell for discontinuous reception operation
CN110475255A (en) * 2018-05-10 2019-11-19 ***通信集团浙江有限公司 Network load prediction technique and device
CN110677854A (en) * 2018-07-03 2020-01-10 ***通信集团重庆有限公司 Method, apparatus, device and medium for carrier frequency capacity adjustment
CN111385815A (en) * 2018-12-27 2020-07-07 ***通信集团辽宁有限公司 Method, device, equipment and medium for optimizing cell network resources
CN111490889A (en) * 2019-01-28 2020-08-04 上海大唐移动通信设备有限公司 Method and device for estimating wireless service growth

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017133288A1 (en) * 2016-02-04 2017-08-10 中兴通讯股份有限公司 Method and device for selecting uplink power
WO2017171922A1 (en) * 2016-04-01 2017-10-05 Intel IP Corporation Definition of downlink subframes for license assisted access secondary cell for discontinuous reception operation
CN110475255A (en) * 2018-05-10 2019-11-19 ***通信集团浙江有限公司 Network load prediction technique and device
CN110677854A (en) * 2018-07-03 2020-01-10 ***通信集团重庆有限公司 Method, apparatus, device and medium for carrier frequency capacity adjustment
CN111385815A (en) * 2018-12-27 2020-07-07 ***通信集团辽宁有限公司 Method, device, equipment and medium for optimizing cell network resources
CN111490889A (en) * 2019-01-28 2020-08-04 上海大唐移动通信设备有限公司 Method and device for estimating wireless service growth

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
CMCC等: "《Motivation of SPS support in small cell》", 《3GPP TSG-RAN WG2 MEETING #87 R2-143309》 *
刘光轶: "《LTE网络扩容方法研究》", 《通信与信息技术》 *
杨庭勋等: "《TD-LTE室分高负荷小区解决方案的研究》", 《电信工程技术与标准化》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114845326A (en) * 2022-04-28 2022-08-02 中国联合网络通信集团有限公司 Wireless network resource configuration method and device, electronic equipment and storage medium

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