CN112203322A - Statistical method and device for channel resource utilization rate - Google Patents
Statistical method and device for channel resource utilization rate Download PDFInfo
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Abstract
The embodiment of the invention provides a statistical method and a statistical device for channel resource utilization rate, relates to the technical field of communication, and can complete the statistics of detailed distribution conditions of the channel resource utilization rate on the basis of only occupying a small amount of storage overhead and calculation overhead. The method comprises the following steps: firstly, acquiring the resource utilization rate of a target channel in each dotting period in a statistical period; then dividing the resource utilization rate of the sequentially arranged target channels into M target segments according to a preset rule; wherein M is a positive integer greater than 1; calculating the average value of the resource utilization rate of the target channel in the target segment as the segment resource utilization rate of the target segment; and finally, storing the subsection resource utilization rate of the target subsection.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a statistical method and apparatus for channel resource utilization.
Background
In communication networks such as LTE and NR, the resource utilization rate of a channel (e.g., a PDSCH (physical downlink shared channel), a PUSCH (physical uplink shared channel), a PDCCH (physical downlink control channel), and a PUCCH (physical uplink control channel)) counted by a network management device is an important index for measuring network load and network capacity, and the index of the channel resource utilization rate is reasonably statistically recorded, so that the result of analyzing the network load and the network capacity based on the index data is more accurate. In the prior art, a subframe or a slot time slot (0.5 ms at a 30KHz subcarrier interval of an NR system) is usually used as a time unit for dotting and sampling, and the occupancy of channel resources obtained by dotting and sampling is summarized at a network management side.
Disclosure of Invention
Embodiments of the present invention provide a method and an apparatus for channel resource utilization statistics, which can complete statistics on detailed distribution of channel resource utilization on the basis of only occupying a small amount of storage overhead and calculation overhead.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, a statistical method for channel resource utilization is provided, including: firstly, acquiring the resource utilization rate of a target channel in each dotting period in a statistical period; then dividing the resource utilization rate of the sequentially arranged target channels into M target segments according to a preset rule; wherein M is a positive integer greater than 1; calculating the average value of the resource utilization rate of the target channel in the target segment as the segment resource utilization rate of the target segment; and finally, storing the subsection resource utilization rate of the target subsection.
Based on the technical scheme, after the resource utilization rates of the target channels of all the dotting periods in the statistical period are obtained, the target channels are sequentially arranged according to a preset rule and then are divided into M target segments, and the position and the occupied proportion of each target segment in the resource utilization rates of the sequentially arranged target channels are necessarily known in the segmentation process; and then, after calculating and obtaining the average value of the resource utilization rate of the target channel in each target segment as the segment resource utilization rate of the target channel, storing the segment resource utilization rate of each target segment. Therefore, only a small amount of storage overhead and calculation overhead is occupied, so that when the detailed distribution condition of the channel resource utilization rate in the statistical period needs to be analyzed subsequently, the specific distribution condition of the resource utilization rate of the target channel in the statistical period can be obtained according to the segment resource utilization rate of each segment and the preset rule used by the segment.
In a second aspect, a statistical apparatus for channel resource utilization is provided, including: the device comprises an acquisition module, a segmentation module, a processing module and a storage module. The acquisition module is used for acquiring the resource utilization rate of a target channel in each dotting period in the counting period; the segmentation module is used for dividing the resource utilization rate of the target channel acquired by the acquisition module after the sequential arrangement into M target segments according to a preset rule; m is a positive integer greater than 1; the processing module is used for calculating the average value of the resource utilization rate of the target channel in the target segment, which is obtained by the segmentation module, and taking the average value as the segmentation resource utilization rate of the target segment; and the storage module is used for storing the subsection resource utilization rate of the target subsection calculated by the processing module.
In a third aspect, a statistical apparatus for channel resource utilization is provided, which includes a memory, a processor, a bus, and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; the processor executes the computer-executable instructions stored in the memory when the channel resource utilization statistics apparatus is operating, so that the channel resource utilization statistics apparatus performs the channel resource utilization statistics method as provided in the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, comprising computer-executable instructions, which, when executed on a computer, cause the computer to perform the statistical method of channel resource utilization as provided in the first aspect.
It should be noted that the above instructions may be stored in whole or in part on a computer-readable storage medium. The computer readable storage medium may be packaged together with or separately from the processor of the access network device, which is not limited in this respect.
In a fifth aspect, a computer program product is provided, which when run on a computer causes the computer to perform the statistical method of channel resource utilization as provided by the first aspect.
It can be understood that the solutions of the second aspect to the fifth aspect provided above are all used for executing the corresponding method provided in the first aspect above, and therefore, the beneficial effects that can be achieved by the solutions can refer to the beneficial effects in the corresponding methods provided above, and are not described herein again.
It should be understood that in the present application, the names of the above-mentioned statistics means of channel resource utilization do not constitute limitations on the devices or functional modules themselves, and in actual implementation, these devices or functional modules may appear by other names. Insofar as the functions of the respective devices or functional blocks are similar to those of the present invention, they are within the scope of the claims of the present invention and their equivalents. In addition, the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a system architecture diagram according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a statistical method for channel resource utilization according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating another statistical method for channel resource utilization according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a device for counting channel resource utilization according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another apparatus for counting channel resource utilization 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.
It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. 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.
It should be noted that, in the embodiments of the present invention, "of", "corresponding" and "corresponding" may be sometimes used in combination, and it should be noted that, when the difference is not emphasized, the intended meaning is consistent.
For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used for distinguishing the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like are not limited in number or execution order.
At present, when channel resource utilization is counted, a dotting sampling mode is generally adopted to obtain the channel resource utilization of each sampling point in a counting period, and then the average utilization and the maximum utilization of the channel resources are calculated to be used as the final counting result. However, the statistical data obtained in this way cannot accurately analyze the distribution state of the channel resource utilization rate, and it is impossible to accurately analyze the network load and the network capacity according to the distribution state of the channel resource utilization rate.
In view of the above problems, embodiments of the present application provide a statistical method for channel resource utilization, which can complete statistics on detailed distribution of channel resource utilization on the basis of only occupying a small amount of storage overhead and calculation overhead. The method is applied to a system architecture as shown in fig. 1, and the system may include a network management device 01 and a base station 02. The statistical method of the channel resource utilization rate is mainly executed by a statistical device of the channel resource utilization rate in the network management device 01.
For example, the network management device in the embodiment of the present application may be an OMC (Operation and Maintenance Center). Of course, the device may also be other devices that can acquire the channel resource occupation condition from the base station. This is not specifically limited by the present application.
As an example, the base station 02 may be an access network device (BTS) in a global system for mobile communication (GSM), a Code Division Multiple Access (CDMA), an access network device (node B, NB) in a Wideband Code Division Multiple Access (WCDMA), an access network device (evolved node B, eNB) in a Long Term Evolution (LTE), an access network device (eNB) in an internet of things (IoT) or a narrowband internet of things (NB-IoT), an access network device in a future 5G mobile communication network or a Public Land Mobile Network (PLMN) in a future evolution, which is not limited in any way by the embodiments of the present invention.
Based on the system architecture shown in fig. 1, an embodiment of the present application provides a statistical method for channel resource utilization, which is applied to a statistical device for channel resource utilization, where the statistical device may be the network management device 01 described above, or may be a part of the network management device 01. Referring to fig. 2, the method includes 201-204:
201. and acquiring the resource utilization rate of the target channel in each dotting period in the counting period.
For example, the statistical period may be 30 minutes, and the dotting period may be one radio frame, i.e., 10ms, where each dotting period includes multiple sampling points. For example, taking LTE (long term evolution) system as an example, each subframe in each radio frame is a sampling point, and then one dotting period includes 10 sampling points. For another example, in an NR (New Radio, New air interface) system, a 30KHz subcarrier interval is taken as an example, each timeslot in a Radio frame is a sampling point, and one dotting period includes 20 sampling points. Of course, how many sampling points are included in each dotting period in practice may be determined according to the practice, and the present application does not specifically limit this.
Illustratively, the target channel may be any one of PDSCH, PUSCH, PDCCH, and PUCCH.
Optionally, as shown in fig. 3, the step 201 may specifically include 2011 and 2012:
2011. and acquiring the number of resources occupied by the target channel of each sampling point in each dotting period in the statistical period and the total number of resources available for the target channel.
For example, the 2011 step may obtain, from the base station, the number of resources occupied by the target channel and the total number of resources available for the target channel for each sampling point in each dotting period in the counting period for the statistical apparatus of the channel resource utilization rate.
For example, the channel resources may be counted by using REs (resource elements) as a basic unit, or may be counted by using RBs (resource blocks) as a basic unit. The difference between the two is that: first, one RB includes a plurality of REs, and channel resources are counted using the RB as a basic unit, and the counted result may be coarser than the REs. Secondly, because the downlink channel mainly used for transmitting the service information may include not only the service information but also certain control information, when the target channel is the PDSCH, if the RB is used as the basic unit, the statistical result is rough, and also because there are not only REs occupied by the service information corresponding to the PDSCH but also REs occupied by certain control information in the RB occupied by the downlink channel, if the RB is used as the basic unit, the statistical result accuracy of the PDSCH resource utilization rate is low, and the REs occupied by the control information can be proposed by using the REs as the basic unit of the PDSCH resource for statistics, so that the result is more accurate. Thirdly, when the target channel is an uplink channel (a PUSCH and a PUCCH in an LTE system), because the uplink information basically does not contain control information, when the rough influence of the statistical result caused by using the RB as the basic unit of the channel resource is not considered, the inaccurate of the statistical result caused by the occupation of the RE by the control information can be avoided by using the RB; further, since the communication protocol in the NR system specifies that resources in the PUCCH should be REs, statistics can be performed only on the PUCCH for NR using REs as a basic unit of resources.
Therefore, generally, for the PUCCH of the PDSCH, PDCCH, and NR systems, RE can be used as a basic unit of resources, and for the PUCCH of the PUSCH and LTE systems, RE or RB can be used as a basic unit of resources.
Taking a communication system as an LTE system, a target channel as a PDSCH, and a basic unit of resources as RE (resource allocation), wherein the number of resources occupied by the PDSCH is the number of REs (including REs of the DMRS including the PDSCH and REs of a reference symbol including the PT-RS) with data transmission in the PDSCH, and the number of resources available for the PDSCH is the difference value obtained by subtracting the number of RE resources (the number of RE resources including control information) in a control domain from the total number of all REs (including the number of downlink REs in a special subframe) in each downlink subframe; further, since the PBCH, PSCH, or SSCH in the LTE system are mainly used for transmitting system information, and RE resources occupied by the PBCH, PSCH, or SSCH are unrelated to the PDSCH, the number of RE resources occupied by the PBCH, PSCH, or SSCH also needs to be deducted when the PBCH, PSCH, or SSCH exists in the downlink subframe.
Taking the communication system as an LTE system, the target channel is a PDSCH, the basic unit of resources is RB as an example, the number of resources occupied by the PDSCH is the number of RBs where REs with data transmission are located in the PDSCH, and the number of resources available to the PDSCH is the number of RBs where the available REs are located.
Taking the communication system as an LTE system, the target channel as a PUSCH, the basic unit of resources as an RB (the same applies to RE), the number of resources occupied by the PUSCH is the number of RBs with data transmission in the PUSCH, and the number of resources available for the PUSCH is the total number of all RBs in each uplink subframe.
Taking the communication system as an LTE system, the target channel as a PDCCH, and the basic unit of resources as REs, the number of resources occupied by the PDCCH is the number of REs in the PDCCH for data transmission, and the number of resources available for the PDCCH is the number of all control domain RE resources (the number of RE resources including control information) in each downlink subframe.
Taking an LTE communication system as an LTE system, a target channel is a PDCCH, and a basic unit of resources is an RB as an example, the number of resources occupied by the PDCCH is the number of RBs where REs with data transmission are located in the PDCCH, and the number of resources available to the PDCCH is the number of RBs where the available REs are located.
Taking the communication system as an LTE system, the target channel as a PUCCH, the basic unit of resources as an RB (the same applies to REs), the number of resources occupied by the PUCCH is the number of RBs with data transmission in the PUCCH, and the number of resources available for the PUCCH is the total number of all RBs in each uplink subframe.
Taking a communication system as an NR system, a target channel as a PDSCH, and a basic unit of resources as REs as an example, the number of resources occupied by the PDSCH is the number of REs (including REs including DMRS of the PDSCH and REs including reference symbols of PT-RS) with data transmission in the PDSCH, and the number of resources available for the PDSCH is a difference between the total number of all REs (including the number of downlink REs in a special time slot) in each downlink time slot and the number of RE resources (the number of RE resources including control information) spatially configured by PDCCH set (control resource set); further, in the NR system, SSB (synchronization signal and PBCH block ) is mainly used for transmitting system information, and RE resources occupied by the SSB are irrelevant to PDSCH, so that when the SSB exists in a downlink slot, the number of RE resources occupied by the SSB needs to be deducted.
Further, taking the communication system as an NR system, the target channel as a PDSCH, and the basic unit of resources as an RB, the number of resources occupied by the PDSCH is the number of RBs where REs for data transmission are located in the PDSCH, and the number of resources available for the PDSCH is the number of RBs where the available REs are located.
Taking the communication system as an NR system, the target channel as a PUSCH, the basic unit of the resource as an RB (the same applies to RE), the number of resources occupied by the PUSCH is the number of RBs with data transmission in the PUSCH, and the number of resources available for the PUSCH is the total number of all RBs in each uplink slot.
Taking the communication system as an NR system, the target channel as a PDCCH, and the basic unit of resources as REs as an example, the number of resources occupied by the PDCCH is the number of REs with data transmission in the PDCCH, and the number of resources available for the PDCCH is the number of RE resources spatially configured by all PDCCH sets (control resource sets) in each downlink subframe.
Taking the communication system as an NR system, the target channel as a PDCCH, and the basic unit of resources as an RB as an example, the number of resources occupied by the PDCCH is the number of RBs where REs with data transmission are located in the PDCCH, and the number of resources available to the PDCCH is the number of RBs where the available REs are located.
Taking the communication system as an NR system, the target channel as a PUCCH, and the basic unit of resources as REs, where the number of resources occupied by the PUCCH is the number of REs in the PUCCH having data transmission, and the number of resources available to the PUCCH is the total number of all REs in each uplink subframe.
2012. And calculating the resource utilization rate of the dotting period according to a first preset formula according to the number of resources occupied by the target channel of each sampling point in the dotting period and the total number of resources available for the target channel.
Wherein, the first preset formula is as follows:
wherein R isijThe number of resources occupied by a target channel of a jth sampling point in an ith dotting period is shown; rtotal_ijThe total available resource number of the target channel is the jth sampling point in the ith dotting period.
Illustratively, where R is specifically RB or RE depends on actual requirements, and is not specifically limited herein.
202. Dividing the resource utilization rate of the sequentially arranged target channels into M target segments according to a preset rule; m is a positive integer greater than 1.
Optionally, referring to fig. 3, the step 202 may specifically be 202A:
202A, dividing the resource utilization rate of the target channels after the sequential arrangement into a preset number of target segments according to M threshold values.
Wherein, the M threshold values comprise M-1 threshold values which are different in size and are all larger than 0 and smaller than 1, and a threshold value 1; the M threshold values correspond one-to-one to the M target segments.
The number of the resource utilization rates of the target channels in the target segment is the product of the difference value obtained by subtracting the maximum second threshold value in the threshold values smaller than the first threshold value from the first threshold value corresponding to the target segment and the total number of the resource utilization rates of the target channels acquired in the statistical period.
Illustratively, the resource utilization of the target channel after the sequential arrangement is β1、β2、β3、β4、β5、β6、β7、β8、β9、β10For example, if the M threshold values are 0.3, 0.6, 0.9 and 1, respectively, then the four target segments obtained are a1, a2, A3 and a4, respectively, where a1 is (β)1、β2、β3)，A2＝(β4、β5、β6)，A3＝(β7、β8、β9)，A4＝(β10). It should be noted that the M threshold values may be determined according to actual requirements, and the higher the required statistical accuracy is, the more threshold values may be set, and the more target segments are divided.
203. And calculating the average value of the resource utilization rate of the target channel in the target segment as the segment resource utilization rate of the target segment.
Optionally, as shown in fig. 3, 203 may specifically be 203A:
203A, calculating the average value of the resource utilization rate of the target channel in the target segment according to a second preset formula, and taking the average value as the segment resource utilization rate of the target segment.
Wherein the second predetermined formula is:
wherein λ isiResource utilization, β, for the ith target segmentjIs the resource utilization rate, TH, of the jth target channel in the resource utilization rates of the sequentially arranged target channelsiIs the ith threshold value after the M threshold values are arranged in sequence.
204. Storing the segment resource utilization for the target segment.
Optionally, taking a statistical apparatus for performing a statistical method for channel resource utilization as network management equipment as an example, because M thresholds in the foregoing steps may exist in configuration parameters of the network management equipment in practice, only the segment resource utilization of the target segment may be stored under normal conditions, and the configuration parameters of the network management equipment may be checked to obtain the result when the corresponding threshold of each target segment needs to be known subsequently. However, in practice, there may be a case where the threshold value is changed, so that the threshold value in the configuration parameter and the obtained target segment are not matched, and at this time, if statistical analysis needs to be performed in combination with the segment resource utilization rate of the target segment and the corresponding threshold value, a problem that corresponding data cannot be obtained is caused, so referring to fig. 3, step 204 may be executed while step 205 is executed:
205. and storing M threshold values and the corresponding relation between the target segment and the threshold value.
Further optionally, although the segment resource utilization of the M target segments can already complete the statistics of the detailed distribution of the channel resource utilization to some extent, in general, in order to more fully reflect the actual distribution of the resource utilization of the target channels in the statistical period, as shown in fig. 3, the method further includes 206 and 207:
206. and determining the maximum value and the average value of the resource utilization rate of the target channels of all dotting periods in the counting period.
Step 206 is performed after step 2012.
207. And storing the maximum value and the average value of the resource utilization rate of the target channels of all dotting periods in the statistical period.
According to the technical scheme provided by the embodiment of the application, after the resource utilization rates of the target channels of all dotting periods in the statistical period are obtained, the target channels are sequentially arranged according to the preset rule and then are divided into M target segments, and the position and the occupied proportion of each target segment in the resource utilization rates of the sequentially arranged target channels are necessarily known in the segmentation process; and then, after calculating and obtaining the average value of the resource utilization rate of the target channel in each target segment as the segment resource utilization rate of the target channel, storing the segment resource utilization rate of each target segment. Therefore, only a small amount of storage overhead (M pieces of storage data or 2M pieces of storage data) and calculation overhead is required to be occupied, so that when the detailed distribution condition of the channel resource utilization rate in the statistical period needs to be analyzed, the specific distribution condition of the resource utilization rate of the target channel in the statistical period can be obtained according to the segment resource utilization rate of each segment and the preset rule used by the segment.
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 embodiment of the present invention may perform functional module division on the statistical apparatus of channel resource utilization according to the above method example, for example, each functional module may be divided corresponding 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.
Referring to fig. 4, a schematic structural diagram of a device 03 for channel resource utilization statistics provided in the embodiment of the present application is shown, which specifically includes: an acquisition module 31, a segmentation module 32, a processing module 33 and a storage module 34.
Specifically, the obtaining module 31 is configured to obtain a resource utilization rate of a target channel in each dotting period in a statistical period; a segmenting module 32, configured to divide the resource utilization rate of the target channels acquired by the sequentially arranged acquiring module 31 into M target segments according to a preset rule; m is a positive integer greater than 1; a processing module 33, configured to calculate an average value of the resource utilization rates of the target channels in the target segment, obtained by the segmenting module 32, as a segmented resource utilization rate of the target segment; and a storage module 34, configured to store the segment resource utilization of the target segment calculated by the processing module 33.
Optionally, the obtaining module 31 is specifically configured to: acquiring the number of resources occupied by a target channel of each sampling point in each dotting period in a statistical period and the total number of resources available for the target channel;
calculating the resource utilization rate of the dotting period according to a first preset formula according to the number of resources occupied by the target channel of each sampling point in the dotting period and the total number of resources available for the target channel;
the first predetermined formula is:
wherein R isijThe number of resources occupied by a target channel of a jth sampling point in an ith dotting period is shown; rtotal_ijThe total available resource number of the target channel is the jth sampling point in the ith dotting period.
Optionally, the segmentation module 32 is specifically configured to: dividing the resource utilization rate of the target channel acquired by the sequentially arranged acquisition module 31 into a preset number of target segments according to the M threshold values; the M threshold values comprise M-1 threshold values which are different in size and are all larger than 0 and smaller than 1, and a threshold value 1; m threshold values correspond to M target segments one by one;
the number of the resource utilization rates of the target channels in the target segments is the product of the difference value obtained by subtracting the maximum second threshold value in the threshold values smaller than the first threshold value from the first threshold value corresponding to the target segments and the total number of the resource utilization rates of the target channels acquired in the statistical period.
Optionally, the processing module 33 is specifically configured to: calculating the average value of the resource utilization rate of the target channel in the target segment, which is obtained by the segmentation module 32, according to a second preset formula, and taking the average value as the segment resource utilization rate of the target segment;
the second predetermined formula is:
wherein λ isiResource utilization, β, for the ith target segmentjIs the resource utilization rate, TH, of the jth target channel in the resource utilization rates of the sequentially arranged target channelsiIs the ith threshold value after the M threshold values are arranged in sequence.
Optionally, the storage module 34 is further configured to: and storing M threshold values and the corresponding relation between the target segment and the threshold value.
Optionally, the processing module 33 is further configured to determine a maximum value and an average value of resource utilization rates of all target channels acquired by the acquiring module 31 in the statistical period; the storage module 34 is further configured to store the maximum value and the average value of the resource utilization rates of all target channels obtained in the statistical period determined by the processing module 33.
The statistical apparatus for channel resource utilization provided in the embodiment of the present application is mainly used to perform the statistical method for channel resource utilization provided in the foregoing embodiment, so that the corresponding beneficial effects can be expressed by referring to the foregoing embodiment, and are not described herein again.
In the case of using an integrated module, the statistical device for channel resource utilization includes: the device comprises a storage unit, a processing unit and an interface unit. The processing unit is used for controlling management, for example, the processing unit is used for supporting the access network device to execute the steps executed by the segmentation module 32 and the processing module 33 in the foregoing embodiments; the interface unit is used for supporting the information interaction between the statistical device of the channel resource utilization rate and other devices. Such as interaction with a base station. The storage unit, which is used for the program codes and data of the access network device, is equivalent to the storage module in the above embodiment.
For example, the processing unit is a processor, the storage unit is a memory, and the interface unit is a communication interface. Referring to fig. 5, another statistical apparatus for channel resource utilization is provided in the embodiments of the present invention, which includes a memory 41, a processor 42, a bus 43, and a communication interface 44; the memory 41 is used for storing computer execution instructions, and the processor 42 is connected with the memory 41 through a bus 43; when the channel resource utilization statistics apparatus is operating, the processor 42 executes computer-executable instructions stored in the memory 41 to cause the channel resource utilization statistics apparatus to perform the channel resource utilization statistics method provided in the above-described embodiments.
In particular implementations, processor 42(42-1 and 42-2) may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 5, for example, as one embodiment. And as an example, the statistical means for channel resource utilization may comprise a plurality of processors 42, such as processor 42-1 and processor 42-2 shown in fig. 5. Each of the processors 42 may be a Single-core processor (Single-CPU) or a Multi-core processor (Multi-CPU). Processor 42 may refer herein to one or more devices, circuits, and/or processing cores that process data (e.g., computer program instructions).
The Memory 41 may be a Read-Only Memory 41 (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable Read-Only Memory (EEPROM), a compact disc Read-Only Memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), a magnetic disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 41 may be self-contained and coupled to the processor 42 via a bus 43. The memory 41 may also be integrated with the processor 42.
In a specific implementation, the memory 41 is used for storing data in the present application and computer-executable instructions corresponding to software programs for executing the present application. Processor 42 may perform various functions of the statistical means of channel resource utilization by running or executing software programs stored in memory 41 and invoking data stored in memory 41.
The communication interface 44 is any device, such as a transceiver, for communicating with other devices or communication networks, such as a control system, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), and the like. The communication interface 44 may include a receiving unit implementing a receiving function and a transmitting unit implementing a transmitting function.
The bus 43 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an extended ISA (enhanced industry standard architecture) bus, or the like. The bus 43 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes computer-executable instructions, and when the computer-executable instructions are executed on a computer, the computer is enabled to execute the statistical method for channel resource utilization provided in the foregoing embodiment.
The embodiment of the present invention further provides a computer program product, where the computer program product may be directly loaded into a memory and contains a software code, and the computer program product is loaded and executed by a computer, so as to implement the statistical method for channel resource utilization provided in the foregoing embodiment.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer-readable storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical function division, and there may be other division ways in actual implementation. For example, various elements or components may be combined or may be integrated into another device, or some features may be omitted, or not implemented. 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 be one physical unit or a plurality of physical units, may be located in one place, or may be distributed to a plurality of different places. 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributed to by the prior art, or all or part of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiment 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 (14)
1. A statistical method for channel resource utilization is characterized by comprising the following steps:
acquiring the resource utilization rate of a target channel in each dotting period in a statistical period;
dividing the resource utilization rate of the target channels after sequential arrangement into M target segments according to a preset rule; m is a positive integer greater than 1;
calculating the average value of the resource utilization rate of the target channel in the target segment, and taking the average value as the segment resource utilization rate of the target segment;
storing the segment resource utilization for the target segment.
2. The method according to claim 1, wherein the obtaining the resource utilization of the target channel in each dotting period in the counting period comprises:
acquiring the number of resources occupied by a target channel of each sampling point in each dotting period in a statistical period and the total number of resources available for the target channel;
calculating the resource utilization rate of the dotting period according to a first preset formula according to the number of resources occupied by the target channel of each sampling point in the dotting period and the total number of resources available for the target channel;
the first preset formula is as follows:
wherein R isijThe number of resources occupied by the target channel for the jth sampling point in the ith dotting period is shown; rtotal_ijThe total available resource number of the target channel is the jth sampling point in the ith dotting period.
3. The method of claim 1, wherein the dividing the resource utilization of the target channels into M target segments according to a predetermined rule comprises:
dividing the resource utilization rate of the target channels after the sequential arrangement into a preset number of target segments according to M threshold values; the M threshold values comprise M-1 threshold values which are different in size and are all larger than 0 and smaller than 1, and a threshold value 1; the M threshold values correspond to the M target segments one by one;
the number of the resource utilization rates of the target channels in the target segment is the product of the difference value obtained by subtracting the maximum second threshold value in the threshold values smaller than the first threshold value from the first threshold value corresponding to the target segment and the total number of the resource utilization rates of the target channels acquired in the statistical period.
4. The statistical method for channel resource utilization according to claim 3, wherein the calculating an average value of resource utilization of the target channel in the target segment as the segment resource utilization of the target segment comprises:
calculating the average value of the resource utilization rate of the target channel in the target segment according to a second preset formula, and taking the average value as the segment resource utilization rate of the target segment;
the second preset formula is as follows:
wherein λ isiResource utilization, β, for the ith target segmentjIs the resource utilization rate, TH, of the jth target channel in the resource utilization rates of the target channels after the sequential arrangementiIs the ith threshold value after the M threshold values are arranged in sequence.
5. The statistical method for channel resource utilization according to claim 3, further comprising:
and storing the M threshold values and the corresponding relation between the target segment and the threshold values.
6. The statistical method for channel resource utilization according to claim 1, further comprising:
determining the maximum value and the average value of the resource utilization rate of the target channels of all dotting periods in the statistical period;
and storing the maximum value and the average value of the resource utilization rate of the target channels of all dotting periods acquired in the counting period.
7. A statistical apparatus for channel resource utilization, comprising:
the acquisition module is used for acquiring the resource utilization rate of the target channel in each dotting period in the counting period;
the segmentation module is used for dividing the resource utilization rate of the target channel acquired by the acquisition module after the sequential arrangement into M target segments according to a preset rule; m is a positive integer greater than 1;
the processing module is used for calculating the average value of the resource utilization rate of the target channel in the target segment, which is obtained by the segmentation module, and taking the average value as the segmentation resource utilization rate of the target segment;
and the storage module is used for storing the subsection resource utilization rate of the target subsection calculated by the processing module.
8. The apparatus for channel resource utilization statistics according to claim 7, wherein the obtaining module is specifically configured to:
acquiring the number of resources occupied by a target channel of each sampling point in each dotting period in a statistical period and the total number of resources available for the target channel;
calculating the resource utilization rate of the dotting period according to a first preset formula according to the number of resources occupied by the target channel of each sampling point in the dotting period and the total number of resources available for the target channel;
the first preset formula is as follows:
wherein R isijThe number of resources occupied by the target channel for the jth sampling point in the ith dotting period is shown; rtotal_ijThe total available resource number of the target channel is the jth sampling point in the ith dotting period.
9. The apparatus for channel resource utilization statistics according to claim 7, wherein the segmentation module is specifically configured to:
dividing the resource utilization rate of the target channel acquired by the acquisition module after the sequential arrangement into a preset number of target segments according to M threshold values; the M threshold values comprise M-1 threshold values which are different in size and are all larger than 0 and smaller than 1, and a threshold value 1; the M threshold values correspond to the M target segments one by one;
the number of the resource utilization rates of the target channels in the target segment is the product of the difference value obtained by subtracting the maximum second threshold value in the threshold values smaller than the first threshold value from the first threshold value corresponding to the target segment and the total number of the resource utilization rates of the target channels acquired in the statistical period.
10. The apparatus for channel resource utilization statistics according to claim 9, wherein the processing module is specifically configured to:
calculating the average value of the resource utilization rate of the target channel in the target segment, which is obtained by the segmentation module, according to a second preset formula, and taking the average value as the segment resource utilization rate of the target segment;
the second preset formula is as follows:
wherein λ isiResource utilization, β, for the ith target segmentjIs the resource utilization rate, TH, of the jth target channel in the resource utilization rates of the target channels after the sequential arrangementiIs the ith threshold value after the M threshold values are arranged in sequence.
11. The apparatus for statistics of channel resource utilization according to claim 9, wherein the storage module is further configured to:
and storing the M threshold values and the corresponding relation between the target segment and the threshold values.
12. The apparatus for statistics of channel resource utilization according to claim 7,
the processing module is further configured to determine a maximum value and an average value of resource utilization rates of all target channels acquired by the acquisition module within a statistical period;
the storage module is further configured to store the maximum value and the average value of the resource utilization rates of all the target channels obtained within the statistical period determined by the processing module.
13. A statistical device of channel resource utilization rate is characterized by comprising a memory, a processor, a bus and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through the bus; the computer-executable instructions stored in the memory are executed by the processor when the channel resource utilization statistics apparatus is running, so as to cause the channel resource utilization statistics apparatus to perform the channel resource utilization statistics method according to any one of claims 1-6.
14. A computer-readable storage medium comprising computer-executable instructions that, when executed on a computer, cause the computer to perform the statistical method of channel resource utilization of any one of claims 1-6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113573351A (en) * | 2021-07-27 | 2021-10-29 | 中国联合网络通信集团有限公司 | Method and device for determining wireless resource utilization rate, electronic equipment and storage medium |
| CN115277507A (en) * | 2022-07-25 | 2022-11-01 | 中国联合网络通信集团有限公司 | Calculation method, device and equipment for PRB spectrum utilization rate and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010086902A1 (en) * | 2009-02-02 | 2010-08-05 | Hitachi, Ltd. | Information apparatus and method of generating tuning plan for resource configuration of storage system |
| US20140359084A1 (en) * | 2013-05-20 | 2014-12-04 | Tencent Technology (Shenzhen) Company Limited | Electronic device, storage medium and file transferring method |
| CN107205030A (en) * | 2017-05-31 | 2017-09-26 | 成都博视美达文化传播有限公司 | Server resource dispatching method and system |
| CN108874535A (en) * | 2018-05-14 | 2018-11-23 | 中国平安人寿保险股份有限公司 | A kind of task adjusting method, computer readable storage medium and terminal device |
| CN109005017A (en) * | 2017-06-07 | 2018-12-14 | 深圳市金立通信设备有限公司 | A kind of signal processing method, device, base station and user equipment |
| CN110959258A (en) * | 2017-08-25 | 2020-04-03 | 华为技术有限公司 | Data transmission method and device |
-
2020
- 2020-09-30 CN CN202011061811.4A patent/CN112203322B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010086902A1 (en) * | 2009-02-02 | 2010-08-05 | Hitachi, Ltd. | Information apparatus and method of generating tuning plan for resource configuration of storage system |
| US20140359084A1 (en) * | 2013-05-20 | 2014-12-04 | Tencent Technology (Shenzhen) Company Limited | Electronic device, storage medium and file transferring method |
| CN107205030A (en) * | 2017-05-31 | 2017-09-26 | 成都博视美达文化传播有限公司 | Server resource dispatching method and system |
| CN109005017A (en) * | 2017-06-07 | 2018-12-14 | 深圳市金立通信设备有限公司 | A kind of signal processing method, device, base station and user equipment |
| CN110959258A (en) * | 2017-08-25 | 2020-04-03 | 华为技术有限公司 | Data transmission method and device |
| CN108874535A (en) * | 2018-05-14 | 2018-11-23 | 中国平安人寿保险股份有限公司 | A kind of task adjusting method, computer readable storage medium and terminal device |
Non-Patent Citations (2)
| Title |
|---|
| ZTE CORPORATION: "R4-1811629 \"TP for TS38.141-1: Occupied bandwidth (section 4.1.2 and 6.6.2)\"", 3GPP TSG_RAN\\WG4_RADIO, no. 4 * |
| 陈熔;: "物联网资源负载均衡共享有效调度仿真", 计算机仿真, no. 11 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113573351A (en) * | 2021-07-27 | 2021-10-29 | 中国联合网络通信集团有限公司 | Method and device for determining wireless resource utilization rate, electronic equipment and storage medium |
| WO2023005448A1 (en) * | 2021-07-27 | 2023-02-02 | 中国联合网络通信集团有限公司 | Wireless resource utilization rate determination method and apparatus, electronic device and storage medium |
| CN115277507A (en) * | 2022-07-25 | 2022-11-01 | 中国联合网络通信集团有限公司 | Calculation method, device and equipment for PRB spectrum utilization rate and storage medium |
| CN115277507B (en) * | 2022-07-25 | 2023-06-16 | 中国联合网络通信集团有限公司 | PRB spectrum utilization rate calculation method, device, equipment and storage medium |
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|---|---|
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