CN110662302A - RU subchannel allocation method, device, storage medium and network equipment - Google Patents

RU subchannel allocation method, device, storage medium and network equipment Download PDF

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Publication number
CN110662302A
CN110662302A CN201910822443.1A CN201910822443A CN110662302A CN 110662302 A CN110662302 A CN 110662302A CN 201910822443 A CN201910822443 A CN 201910822443A CN 110662302 A CN110662302 A CN 110662302A
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client
subchannel
flow
traffic
rate
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CN110662302B (en
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柯智慧
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Chengdu Lianzhou International Technology Co ltd
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TP Link Technologies Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453Resources in frequency domain, e.g. a carrier in FDMA
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/53Allocation or scheduling criteria for wireless resources based on regulatory allocation policies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/56Allocation or scheduling criteria for wireless resources based on priority criteria

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses a method, a device, a computer readable storage medium and a network device for RU subchannel allocation, comprising the following steps: acquiring the current flow demand of each client connected with the network equipment at intervals of a preset time period; acquiring a flow mode corresponding to each client according to the current flow demand of each client and a preset flow model grouping table; when the flow mode corresponding to any client is inconsistent with the current flow mode of the client, detecting the interference signal intensity in the RU subchannel of the network equipment; carrying out priority sequencing on RU subchannel groups in a preset RU rate group table according to the interference signal intensity; and carrying out RU subchannel allocation on the client according to the traffic mode corresponding to the client and the RU subchannel groups after the priority ranking. By adopting the technical scheme of the invention, the utilization rate of frequency spectrum resources can be improved, strong interference in an environment frequency spectrum is avoided, and the use experience of a client is improved.

Description

RU subchannel allocation method, device, storage medium and network equipment
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method and an apparatus for RU subchannel allocation, a computer-readable storage medium, and a network device.
Background
At present, when a network device conforming to the IEEE 802.11ax protocol standard uses an Orthogonal Frequency Division Multiple Access (OFDMA) technology, for spectrum resource allocation under the condition that Multiple clients Access, that is, RU subchannel allocation, most of the spectrum resource allocation is contended and randomly allocated in real time based on a signal indicator of a client currently connected to the network device, and an RU subchannel allocated to a different client under random contention has a situation of insufficient bandwidth requirement or excessive bandwidth requirement, resulting in a low utilization rate of spectrum resources and possibly an environmental spectrum interference difference, resulting in that the RU subchannel allocated to the client is in interference affecting communication, and the usage experience of the client is poor.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a method, an apparatus, a computer-readable storage medium, and a network device for RU subchannel allocation, which can perform accurate and reasonable allocation on RU subchannels according to traffic demands of different clients and spectral interference existing in the current environment, improve the utilization rate of spectral resources, avoid strong interference in the environmental spectrum, and improve the user experience of the clients.
In order to solve the above technical problem, an embodiment of the present invention provides an RU subchannel allocation method, including:
acquiring the current flow demand of each client connected with the network equipment at intervals of a preset time period;
acquiring a flow mode corresponding to each client according to the current flow demand of each client and a preset flow model grouping table; wherein, the flow model grouping table comprises a plurality of flow modes corresponding to flow requirements;
when the flow mode corresponding to any client is inconsistent with the current flow mode of the client, detecting the interference signal intensity in the RU subchannel of the network equipment;
carrying out priority sequencing on RU subchannel groups in a preset RU rate group table according to the interference signal intensity; wherein, the RU rate packet table comprises a plurality of RU subchannel packets corresponding to the actual flow rate, and the actual flow rate corresponds to the flow demand;
and carrying out RU subchannel allocation on the client according to the traffic mode corresponding to the client and the RU subchannel groups after the priority ranking.
Further, the acquiring the current traffic demand of each client connected to the network device at every preset time period specifically includes:
counting the flow rate and the data packet length corresponding to each client connected with the network equipment at intervals of a preset time period;
and acquiring the current flow demand of each client according to the flow rate and the data packet length corresponding to each client.
Further, the method further comprises:
acquiring a current flow mode of each client;
acquiring the flow demand corresponding to the current flow mode of each client according to the flow model grouping table;
respectively comparing the current flow demand of each client with the flow demand corresponding to the current flow mode;
and when the current flow demand of any client is inconsistent with the flow demand corresponding to the current flow mode, judging that the flow mode corresponding to the client is inconsistent with the current flow mode of the client.
Further, the performing priority ranking on the RU subchannel packets in the preset RU rate packet table according to the interference signal strength specifically includes:
and according to the sequence of the strength of the interference signal from small to large, the RU subchannel packets in the RU rate packet table are arranged according to the sequence of the priority from high to low.
Furthermore, the flow modes in the flow model grouping table are divided according to the application scenes of the client; the application scenario corresponds to the traffic rate requirement, the data frame length, the data type and the channel quality requirement of the client in the communication process.
Further, the application scenes at least comprise file transmission, network voice calls, network video playing, network games and network monitoring.
Further, the RU subchannel grouping in the RU rate grouping table is divided according to the bandwidth and the frequency of the RU subchannel; the bandwidth and the frequency correspond to the actual traffic rate, respectively.
In order to solve the above technical problem, an embodiment of the present invention further provides an RU subchannel allocation apparatus, including:
the flow demand acquisition module is used for acquiring the current flow demand of each client connected with the network equipment at intervals of a preset time period;
the flow mode acquisition module is used for acquiring a flow mode corresponding to each client according to the current flow requirement of each client and a preset flow model grouping table; wherein, the flow model grouping table comprises a plurality of flow modes corresponding to flow requirements;
the system comprises an interference signal detection module, a traffic pattern detection module and a traffic pattern matching module, wherein the interference signal detection module is used for detecting the interference signal intensity in the RU subchannel of the network equipment when the traffic pattern corresponding to any client is inconsistent with the current traffic pattern of the client;
the priority ordering module is used for carrying out priority ordering on RU subchannel groups in a preset RU rate group list according to the interference signal intensity; wherein, the RU rate packet table comprises a plurality of RU subchannel packets corresponding to the actual flow rate, and the actual flow rate corresponds to the flow demand;
and the RU subchannel allocation module is used for performing RU subchannel allocation on the client according to the RU subchannel groups after the traffic mode and the priority corresponding to the client are sequenced.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein the computer program, when executed, controls an apparatus on which the computer-readable storage medium resides to perform any one of the RU subchannel allocation methods described above.
An embodiment of the present invention further provides a network device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor, when executing the computer program, implements the RU subchannel allocation method described in any one of the above.
Compared with the prior art, the embodiment of the invention provides a method, a device, a computer readable storage medium and a network device for allocating RU subchannels, wherein the method comprises the steps of obtaining a traffic mode corresponding to each client according to the current traffic requirement of each client connected with the network device and a preset traffic model grouping table, detecting the strength of an interference signal in the RU subchannels of the network device when the traffic mode corresponding to any client is inconsistent with the current traffic mode of the client, performing priority ordering on RU subchannel groups in the preset RU rate grouping table according to the strength of the interference signal, and performing RU subchannel allocation on the client according to the traffic mode corresponding to the client and the RU subchannel groups ordered by priority, so that the RU subchannels can be accurately and reasonably allocated according to the traffic requirements of different clients and spectral interference existing in the current environment, the utilization rate of frequency spectrum resources is improved, strong interference in an environment frequency spectrum is avoided, and the use experience of a client is improved.
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Fig. 1 is a flowchart of a preferred embodiment of a method for RU subchannel allocation provided in the present invention;
fig. 2 is a block diagram illustrating a preferred embodiment of an apparatus for RU subchannel allocation according to the present invention;
fig. 3 is a block diagram of a preferred embodiment of a network device provided by 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 any inventive step, are within the scope of the present invention.
It should be noted that, the embodiment of the present invention is preferably executed by a network device (e.g., a wireless router, a wireless AP, etc.) conforming to the IEEE 802.11ax protocol standard, and other network devices having similar functions also belong to the protection scope of the present invention, and the embodiment of the present invention is not limited in particular.
An embodiment of the present invention provides an RU subchannel allocation method, which is a flowchart of a preferred embodiment of the RU subchannel allocation method provided by the present invention, as shown in fig. 1, and the method includes steps S11 to S15:
step S11, acquiring the current flow demand of each client connected with the network equipment at intervals of a preset time period;
step S12, acquiring a traffic mode corresponding to each client according to the current traffic demand of each client and a preset traffic model grouping table; wherein, the flow model grouping table comprises a plurality of flow modes corresponding to flow requirements;
step S13, when the traffic mode corresponding to any client is not consistent with the current traffic mode of the client, detecting the interference signal intensity in the RU sub-channel of the network equipment;
step S14, according to the interference signal intensity, the RU subchannel grouping in the preset RU rate grouping list is subjected to priority ordering; wherein, the RU rate packet table comprises a plurality of RU subchannel packets corresponding to the actual flow rate, and the actual flow rate corresponds to the flow demand;
and step S15, carrying out RU subchannel allocation on the client according to the traffic mode corresponding to the client and the RU subchannel groups after the priority sorting.
It should be noted that, different types of clients generate different traffic demands in different application scenarios, for example, the traffic required in the application scenarios such as video, web browsing, game, etc. is different, the network device pre-establishes a traffic model group table classified based on the traffic demand of the client, the traffic model group table includes a plurality of traffic modes, each traffic mode corresponds to a traffic demand, and the network device also establishes a RU rate packet table in advance, the RU rate packet table includes a plurality of RU subchannel packets, each RU subchannel packet corresponds to an actual traffic rate, each actual traffic rate corresponds to a traffic demand, each actual traffic rate corresponds to a traffic pattern in the traffic model packet table, that is, the traffic patterns in the traffic model packet table have a one-to-one correspondence with the RU subchannel packets in the RU rate packet table.
In specific implementation, the network device obtains the current traffic demand of each client connected to the network device every preset time period (the specific time period can be set according to actual demands), matching the flow mode corresponding to each client according to the current flow demand of each client and the flow model grouping table, when the traffic mode corresponding to any one client is inconsistent with the current traffic mode corresponding to the RU sub-channel group currently used by the client, detecting the interference signal strength in all RU sub-channels of the network equipment, and prioritizes all of the RU subchannel packets in the RU rate packet table based on the interference signal strength in each RU subchannel, and then the RU subchannel allocation is carried out on the client according to the traffic mode corresponding to the client and the RU subchannel packet after the priority sorting.
The RU subchannel allocation method provided by the embodiment of the invention acquires the flow mode corresponding to each client according to the current flow requirement of each client connected with the network equipment and the preset flow model grouping table, detects the interference signal intensity in the RU subchannel of the network equipment when the flow mode corresponding to any client is inconsistent with the current flow mode of the client, carries out priority sequencing on the RU subchannel groups in the preset RU rate grouping table according to the interference signal intensity, carries out RU subchannel allocation on the client according to the flow mode corresponding to the client and the RU subchannel groups after the priority sequencing, thereby accurately and reasonably allocating the RU subchannel according to the flow requirements of different clients and the spectral interference existing in the current environment, and avoiding the situations of insufficient bandwidth requirement or excessive bandwidth requirement of the client, the utilization rate of frequency spectrum resources is improved, strong interference in an environment frequency spectrum is avoided, and the use experience of a client is improved.
In addition, the IEEE 802.11ax protocol defines related concepts of RU only in the physical layer and the MAC layer, and the allocation of RU subchannels is randomly allocated based on the signal quality of the physical layer and the MAC layer and does not rise to the application layer level.
In another preferred embodiment, the acquiring the current traffic demand of each client connected to the network device at preset time intervals specifically includes:
counting the flow rate and the data packet length corresponding to each client connected with the network equipment at intervals of a preset time period;
and acquiring the current flow demand of each client according to the flow rate and the data packet length corresponding to each client.
Specifically, with reference to the above embodiments, the traffic rate and the frame length of the data frames of different types of clients in different application scenarios have particularity, which may be used as a classification and differentiation standard, after the clients access the network device, the network device may record the unique MAC address of each client, and at intervals of a preset time period, the network device detects and counts data such as the traffic rate and the packet length (including but not limited to the traffic rate and the packet length) corresponding to each client connected to the network device through upper layer software, so as to determine the client type and the application scenario of each client according to the data such as the traffic rate and the packet length corresponding to each client obtained through statistics, and further determine the current traffic demand of each client.
It should be noted that, because the application scenario of the client may change during the working process, and the corresponding traffic demand may also change, the current traffic demand of the client needs to be counted at regular time intervals to determine whether to reallocate the RU sub-channel currently used by the client.
In yet another preferred embodiment, the method further comprises:
acquiring a current flow mode of each client;
acquiring the flow demand corresponding to the current flow mode of each client according to the flow model grouping table;
respectively comparing the current flow demand of each client with the flow demand corresponding to the current flow mode;
and when the current flow demand of any client is inconsistent with the flow demand corresponding to the current flow mode, judging that the flow mode corresponding to the client is inconsistent with the current flow mode of the client.
Specifically, with reference to the foregoing embodiment, in order to determine whether the traffic pattern corresponding to each client is consistent with the current traffic pattern corresponding to the RU subchannel packet currently used by the client, the network device first obtains the current traffic pattern corresponding to the RU subchannel packet currently used by each client, then compares the current traffic demand of each client with the traffic demand corresponding to the current traffic pattern of the client, and determines that the traffic pattern corresponding to the client is inconsistent with the current traffic pattern of the client when the current traffic demand of any client is inconsistent with the traffic demand corresponding to the current traffic pattern of the client.
It should be noted that the traffic demand of the client may be a traffic range, and if the current traffic demand range of the client exceeds the traffic demand range corresponding to the current traffic mode of the client, it indicates that the traffic mode corresponding to the client is inconsistent with the current traffic mode of the client.
In another preferred embodiment, the prioritizing the RU subchannel packets in the preset RU rate packet table according to the interference signal strength specifically includes:
and according to the sequence of the strength of the interference signal from small to large, the RU subchannel packets in the RU rate packet table are arranged according to the sequence of the priority from high to low.
Specifically, with reference to the foregoing embodiment, after obtaining the strength of the interference signal in all the RU subchannels, the network device arranges all the RU subchannel packets in the RU rate packet table in the order from high priority to low priority according to the order from low interference signal strength in each RU subchannel to high interference signal strength, and when allocating an RU subchannel to a client, the RU subchannel having a high priority and a low interference signal strength may be allocated to the client corresponding to a traffic pattern with a high traffic demand.
As an improvement of the above scheme, the traffic modes in the traffic model grouping table are divided according to the application scenarios of the client; the application scenario corresponds to the traffic rate requirement, the data frame length, the data type and the channel quality requirement of the client in the communication process.
Specifically, in combination with the above embodiments, different types of clients generate different traffic demands in different application scenarios, and corresponding traffic patterns are different, so that the traffic patterns may be grouped according to the application scenarios (the application scenarios correspond to the data types) of the clients, and the traffic patterns, the traffic rate demands, the data frame lengths, the data types, and the channel quality needs have a one-to-one correspondence relationship.
Preferably, the application scenarios at least include file transfer, network voice call, network video playing, network game and network monitoring.
It can be understood that the application scenarios include, but are not limited to, file transfer, network voice call, network video playing, network game, and network monitoring, and are applicable to any network communication service that may exist in the wireless client.
As an improvement of the above scheme, the RU subchannel blocks in the RU rate block table are divided according to the bandwidth and frequency of the RU subchannel; the bandwidth and the frequency correspond to the actual traffic rate, respectively.
Specifically, in combination with the above embodiments, the RU rate grouping table indicates the actual throughput that can be obtained by the client under different RU subchannel bandwidths, and is a one-to-one correspondence relationship between the actual traffic rate and the RU subchannel bandwidth, and the RU subchannel bandwidths corresponding to different actual traffic rates are the same, but the frequencies may be different, so that there are multiple RU subchannel grouping modes, that is, RU subchannels can be grouped according to the bandwidth and the frequencies of the RU subchannels.
The actual traffic rate in the RU rate packet table has a one-to-one correspondence with the traffic rate requirement in the traffic model packet table, and in a specific rate value, the actual traffic rate is greater than or equal to the corresponding traffic rate requirement, so that the allocated RU subchannel satisfies the traffic requirement of the corresponding client.
It should be noted that, at present, the RU subchannels in the IEEE 802.11ax protocol share several atomic bandwidths, such as RU-26, RU-52, RU-106, RU-242, RU-484, and RU-996, the maximum actual traffic rate that each RU subchannel can support is different, and in a complete channel (specifically, in various cases, such as 20MHz, 40MHz, 80MHz, and 160MHz channels), the several RU subchannels can be grouped differently according to frequency without exceeding the bandwidth limit.
For example, for the RU-26 subchannels, there are 9 RU-26 subchannels with different frequencies in the 20MHz channel, that is, RU 0-RU 8, which correspond to different interference situations, respectively, and then the RU-26 subchannels with different frequencies can be selected to be allocated to the client according to actual needs and in combination with the interference situations.
In the practical application process, assuming that a client is in three application scenes of document printing, high-definition television and video telephone, corresponding to three traffic modes respectively, firstly selecting the bandwidth of an RU subchannel according to the traffic mode, and then selecting RU subchannel groups corresponding to different frequencies according to the interference degree of the RU subchannel, wherein, for document printing, only the RU-26 bandwidth is needed to meet the requirement, and in combination with the above, the RU-26 bandwidth has 9 RU-26 subchannels of different frequencies, namely RU 0-RU 8, assuming that the interference signal strength is ordered as RU0> RU8> RU7 RU > 6 ═ RU5> RU4> RU3> RU2> RU1, and the document printing traffic requirement is low, the RU-26 subchannel groups with large interference (such as RU0, RU8 and RU7) can be allocated to the application scene, and the RU-106 bandwidth needs to be allocated for high-definition television and video telephone, high definition television and video telephony traffic demands are high and RU subchannel packets with less interference in the RU-106 bandwidth can be allocated to both application scenarios.
The embodiment of the present invention further provides an RU subchannel allocation apparatus, which is capable of implementing all the procedures of the RU subchannel allocation method described in any of the above embodiments, and the functions and implemented technical effects of each module and unit in the apparatus are respectively the same as those of the RU subchannel allocation method described in the above embodiments, and are not described herein again.
Referring to fig. 2, it is a block diagram of a preferred embodiment of an apparatus for allocating RU sub-channels according to the present invention, the apparatus includes:
a traffic demand obtaining module 11, configured to obtain a current traffic demand of each client connected to the network device at intervals of a preset time period;
a traffic pattern obtaining module 12, configured to obtain a traffic pattern corresponding to each client according to a current traffic demand of each client and a preset traffic model grouping table; wherein, the flow model grouping table comprises a plurality of flow modes corresponding to flow requirements;
an interference signal detection module 13, configured to detect an interference signal strength in an RU subchannel of a network device when a traffic pattern corresponding to any client is inconsistent with a current traffic pattern of the client;
a priority sorting module 14, configured to perform priority sorting on RU subchannel packets in a preset RU rate packet table according to the interference signal strength; wherein, the RU rate packet table comprises a plurality of RU subchannel packets corresponding to the actual flow rate, and the actual flow rate corresponds to the flow demand;
and the RU subchannel allocation module 15 is configured to perform RU subchannel allocation on the client according to the RU subchannel packet after the traffic pattern and the priority corresponding to the client are sorted.
Preferably, the flow demand obtaining module 11 specifically includes:
the traffic demand counting unit is used for counting the traffic rate and the data packet length corresponding to each client connected with the network equipment at intervals of a preset time period;
and the traffic demand obtaining unit is used for obtaining the current traffic demand of each client according to the traffic rate and the data packet length corresponding to each client.
Preferably, the apparatus further comprises:
the first traffic pattern acquisition module is used for acquiring the current traffic pattern of each client;
the second traffic demand obtaining module is used for obtaining the traffic demand corresponding to the current traffic mode of each client according to the traffic model grouping table;
the flow demand comparison module is used for respectively comparing the current flow demand of each client with the flow demand corresponding to the current flow mode;
and the traffic mode judging module is used for judging that the traffic mode corresponding to the client is inconsistent with the current traffic mode of the client when the current traffic demand of any client is inconsistent with the traffic demand corresponding to the current traffic mode.
Preferably, the prioritization module 14 specifically includes:
and the priority sorting unit is used for sorting the RU subchannel packets in the RU rate packet table according to the sequence of the interference signal intensity from small to large from high to low in priority.
Preferably, the traffic modes in the traffic model grouping table are divided according to the application scenarios of the clients; the application scenario corresponds to the traffic rate requirement, the data frame length, the data type and the channel quality requirement of the client in the communication process.
Preferably, the application scenarios at least include file transfer, network voice call, network video playing, network game and network monitoring.
Preferably, the RU subchannel blocks in the RU rate block table are divided according to the bandwidth and frequency of the RU subchannels; the bandwidth and the frequency correspond to the actual traffic rate, respectively.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein the computer program, when running, controls an apparatus on which the computer-readable storage medium is located to perform the RU subchannel allocation method of any of the above embodiments.
An embodiment of the present invention further provides a network device, which is shown in fig. 3 and is a block diagram of a preferred embodiment of the network device provided in the present invention, the network device includes a processor 10, a memory 20, and a computer program stored in the memory 20 and configured to be executed by the processor 10, and the processor 10, when executing the computer program, implements the RU subchannel allocation method according to any of the above embodiments.
Preferably, the computer program can be divided into one or more modules/units (e.g. computer program 1, computer program 2,) which are stored in the memory 20 and executed by the processor 10 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program in the network device.
The Processor 10 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor 10 may be any conventional Processor, the Processor 10 is a control center of the network device, and various interfaces and lines are used to connect various parts of the network device.
The memory 20 mainly includes a program storage area that may store an operating system, an application program required for at least one function, and the like, and a data storage area that may store related data and the like. In addition, the memory 20 may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or the memory 20 may also be other volatile solid state memory devices.
It should be noted that the network device may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the structural block diagram in fig. 3 is only an example of the network device and does not constitute a limitation of the network device, and may include more or less components than those shown, or combine some components, or different components.
To sum up, the RU subchannel allocation method, the RU subchannel allocation device, the RU subchannel readable storage medium, and the RU subchannel network device provided in the embodiments of the present invention have the following advantages:
(1) the method has the advantages that the flow demands of the clients can be accurately detected and classified in real time, the flow demands of different clients under different application scenes are distinguished, reasonable RU bandwidth is distributed according to the flow demands, the condition that the bandwidth demands are insufficient or the bandwidth demands are excessive is avoided, the utilization rate of frequency spectrum resources is improved, and the use experience of the clients is improved.
(2) The method can detect the frequency spectrum interference condition existing in the current environment in real time, and allocates the RU sub-channel with small interference to the client, so that the strong interference in the environment frequency spectrum is avoided, and the use experience of the client is further improved.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A method for RU subchannel allocation, comprising:
acquiring the current flow demand of each client connected with the network equipment at intervals of a preset time period;
acquiring a flow mode corresponding to each client according to the current flow demand of each client and a preset flow model grouping table; wherein, the flow model grouping table comprises a plurality of flow modes corresponding to flow requirements;
when the flow mode corresponding to any client is inconsistent with the current flow mode of the client, detecting the interference signal intensity in the RU subchannel of the network equipment;
carrying out priority sequencing on RU subchannel groups in a preset RU rate group table according to the interference signal intensity; wherein, the RU rate packet table comprises a plurality of RU subchannel packets corresponding to the actual flow rate, and the actual flow rate corresponds to the flow demand;
and carrying out RU subchannel allocation on the client according to the traffic mode corresponding to the client and the RU subchannel groups after the priority ranking.
2. The method for RU subchannel allocation according to claim 1, wherein said obtaining the current traffic demand of each client connected to the network device at every predetermined time period specifically comprises:
counting the flow rate and the data packet length corresponding to each client connected with the network equipment at intervals of a preset time period;
and acquiring the current flow demand of each client according to the flow rate and the data packet length corresponding to each client.
3. The method for RU subchannel allocation according to claim 1, wherein said method further comprises:
acquiring a current flow mode of each client;
acquiring the flow demand corresponding to the current flow mode of each client according to the flow model grouping table;
respectively comparing the current flow demand of each client with the flow demand corresponding to the current flow mode;
and when the current flow demand of any client is inconsistent with the flow demand corresponding to the current flow mode, judging that the flow mode corresponding to the client is inconsistent with the current flow mode of the client.
4. The method for RU subchannel allocation according to claim 1, wherein said prioritizing the RU subchannel packets in a preset RU rate packet table according to the interference signal strength comprises:
and according to the sequence of the strength of the interference signal from small to large, the RU subchannel packets in the RU rate packet table are arranged according to the sequence of the priority from high to low.
5. The method for RU subchannel allocation according to claim 1, wherein the traffic patterns in the traffic model group table are divided according to an application scenario of a client; the application scenario corresponds to the traffic rate requirement, the data frame length, the data type and the channel quality requirement of the client in the communication process.
6. The method for RU subchannel allocation according to claim 5, wherein said application scenarios comprise at least file transfer, network voice call, network video playback, network gaming, and network monitoring.
7. The method of claim 1, wherein the RU subchannel allocation in the RU rate grouping table is divided according to the bandwidth and frequency of RU subchannels; the bandwidth and the frequency correspond to the actual traffic rate, respectively.
8. An apparatus for RU subchannel allocation, comprising:
the flow demand acquisition module is used for acquiring the current flow demand of each client connected with the network equipment at intervals of a preset time period;
the flow mode acquisition module is used for acquiring a flow mode corresponding to each client according to the current flow requirement of each client and a preset flow model grouping table; wherein, the flow model grouping table comprises a plurality of flow modes corresponding to flow requirements;
the system comprises an interference signal detection module, a traffic pattern detection module and a traffic pattern matching module, wherein the interference signal detection module is used for detecting the interference signal intensity in the RU subchannel of the network equipment when the traffic pattern corresponding to any client is inconsistent with the current traffic pattern of the client;
the priority ordering module is used for carrying out priority ordering on RU subchannel groups in a preset RU rate group list according to the interference signal intensity; wherein, the RU rate packet table comprises a plurality of RU subchannel packets corresponding to the actual flow rate, and the actual flow rate corresponds to the flow demand;
and the RU subchannel allocation module is used for performing RU subchannel allocation on the client according to the RU subchannel groups after the traffic mode and the priority corresponding to the client are sequenced.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the RU subchannel allocation method of any one of claims 1 to 7.
10. A network device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor when executing the computer program implementing the RU subchannel allocation method of any one of claims 1-7.
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