CN113473505A - Multilink synchronous access throughput optimization method, system terminal and medium - Google Patents
Multilink synchronous access throughput optimization method, system terminal and medium Download PDFInfo
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Abstract
The invention belongs to the technical field of wireless local area networks and discloses a multilink synchronous access throughput optimization method, a system terminal and a medium, wherein the multilink synchronous access throughput optimization method comprises the following steps: determining system parameters by the AP; calculating by the AP to obtain an optimal initial backoff window; the AP broadcasts the obtained optimal initial backoff window and the maximum backoff level to each node; each node adjusts its initial backoff window and maximum backoff level according to the information provided by the AP. The method comprises the steps of analyzing by using a Markov process to obtain a throughput model of the WiFi 7 multi-link network, and dynamically adjusting an initial backoff window of the WiFi 7 multi-link network according to system parameters to achieve the maximum throughput; the WiFi 7 multi-link network performance is improved by maximizing the network throughput, the utilization efficiency of wireless spectrum resources is improved, and the method is suitable for two access strategies of longest backoff access and shortest backoff access and any number of links including single links.
Description
Technical Field
The invention belongs to the technical field of wireless local area networks, and particularly relates to a multilink synchronous access throughput optimization method, a system terminal and a medium.
Background
Currently, the IEEE 802.11 standard, i.e. the WiFi standard, is the physical layer and medium access control layer standards of the wlan with the widest application range at present, and WiFi is almost a synonym for the wlan. With the rapid development of the mobile internet, the requirements of users on the WiFi network are also higher and higher. In order to meet the increasing traffic and higher quality of service requirements, the IEEE is constantly evolving new 802.11 standard amendments to improve the performance of WiFi networks. In 2019, the IEEE started the work on the next generation WiFi standard, WiFi 7. WiFi 7 will introduce a significant improvement-the multilink mechanism. To reduce interference between links, a multi-link device needs to use synchronous access. However, the throughput performance limit and optimization method of the multi-link synchronous access are still unclear at present, which greatly affects the performance of the multi-link mechanism. Therefore, a new WiFi 7 multilink synchronous access throughput optimization method is needed to overcome the problems and deficiencies in the prior art.
Through the above analysis, the problems and defects of the prior art are as follows: at present, throughput performance limit and optimization method of multilink synchronous access are not clear yet, and performance of a multilink mechanism is greatly influenced.
In addition, in the prior art, the performance of the WiFi 7 network is not improved by maximizing the network throughput, which causes low utilization efficiency of wireless spectrum resources.
The difficulty in solving the above problems and defects is: due to the fact that a multilink synchronous access strategy is complex, the number of links is uncertain, and a traditional WiFi random access model is difficult to apply to multilink synchronous access, a theoretical analysis model for modeling the multilink synchronous access does not exist at present. The throughput performance limit of the multilink synchronous access network under the general condition can not be obtained under the condition of lacking theoretical basis, and a quick optimization method suitable for any network can not be obtained. The significance of solving the problems and the defects is as follows: by solving the problems, the throughput performance limit and the optimization method of the multilink synchronous access network can be clarified, the knowledge of multilink synchronous access is improved, and certain guiding significance is provided for the formulation of the WiFi 7 standard and the actual network deployment and optimization.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multilink synchronous access throughput optimization method, a system terminal and a medium, and particularly relates to a WiFi 7 multilink synchronous access throughput optimization method and system based on a Markov process.
The invention is realized in this way, a multilink synchronous access throughput optimization method, including the following steps:
step one, an AP determines system parameters;
secondly, calculating by the AP to obtain an optimal initial backoff window;
step three, the AP broadcasts the obtained optimal initial backoff window and the maximum backoff level to each node;
and step four, each node adjusts the initial backoff window and the maximum backoff level according to the information provided by the AP.
Further, in step one, the system parameters include the number of nodes, the number of links, an access policy, a collision state retention time, and a maximum backoff level.
Further, in step two, the calculating by the AP of the optimal initial backoff window includes:
the AP determines an optimal initial backoff window according to the following formula after collecting the network parameter information and broadcasts the optimal initial backoff window to each node, and the node adjusts the initial backoff window of the node according to the optimal initial backoff window to realize the maximum throughput of the network:
the maximum throughput is as follows:
wherein the content of the first and second substances,represents an optimal initial backoff window when the longest backoff access is used;representing an optimal initial backoff window when using the shortest backoff access; m represents the number of links; n represents the number of nodes; k represents a maximum backoff level;representing an optimal transmission success probability; tau isFIndicating a conflict state duration; tau isTIndicating a successful transmit state duration;representing the maximum throughput.
Further, the WiFi 7 multilink synchronous access throughput optimization method further includes:
a plurality of WiFi 7 multi-link devices use the same M link access channels to carry out uplink data transmission to the AP; analyzing the throughput of the network by a Markov model; state X of the head-of-queue packet group in the state transition process of the head-of-queue packet groupjClassification into 3 categories:
(1) back off, state Ri,i=0,1,...,K;
(2) Conflict, state Fi,i=0,1,...,K;
(3) Successful transmission, state T.
Further, a head-of-line packet group leaves state RiIf the transmission is successful, entering a state T; if the transmission fails, enter state FiAnd enters the next backoff state R after the collision is overi+1Or RK(ii) a Wherein i represents a backoff level, and when the maximum backoff level K is reached, the backoff level will not be increased; p is a radical of(φ)And F, indicating the probability of successful transmission of the head-of-queue packet group, wherein phi is equal to L, and S respectively indicates the longest backoff access and the shortest backoff access.
Another object of the present invention is to provide a WiFi 7 multilink synchronous access throughput optimization system using the WiFi 7 multilink synchronous access throughput optimization method, wherein the WiFi 7 multilink synchronous access throughput optimization system includes:
the system parameter determining module is used for determining system parameters through the AP;
the backoff window calculation module is used for obtaining an optimal initial backoff window through AP calculation;
the broadcast module is used for broadcasting the obtained optimal initial backoff window and the maximum backoff level to each node through the AP;
and the adjusting module is used for adjusting the initial backoff window and the maximum backoff level of each node according to the information provided by the AP.
It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
determining system parameters including the number of nodes, the number of links, an access strategy, conflict state holding time and a maximum backoff level through an AP; calculating by the AP to obtain an optimal initial backoff window;
the AP broadcasts the obtained optimal initial backoff window and the maximum backoff level to each node; each node adjusts its initial backoff window and maximum backoff level according to the information provided by the AP.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
determining system parameters including the number of nodes, the number of links, an access strategy, conflict state holding time and a maximum backoff level through an AP; calculating by the AP to obtain an optimal initial backoff window;
the AP broadcasts the obtained optimal initial backoff window and the maximum backoff level to each node; each node adjusts its initial backoff window and maximum backoff level according to the information provided by the AP.
Another object of the present invention is to provide an information data processing terminal, which is used for implementing the WiFi 7 multilink synchronous access throughput optimization system.
Another object of the present invention is to provide an AP, which mounts the multilink synchronous access throughput optimization system of claim 6 and implements the multilink synchronous access throughput optimization method
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the WiFi _7 multilink synchronous access throughput optimization method, the Markov process is used for analyzing the state transfer process of the data packet, so that a throughput model is obtained, the performance of a WiFi 7 network is improved by maximizing the network throughput, and the utilization efficiency of wireless spectrum resources is improved.
The invention obtains the throughput model of the WiFi 7 multilink network by utilizing a Markov process analysis, and can dynamically adjust the initial backoff window of the WiFi 7 multilink network according to system parameters such as the number of links, the number of nodes, the successful sending duration length, the conflict duration length and the like so as to achieve the maximum throughput and improve the performance of the WiFi 7 multilink network. The technology of the invention can be suitable for two access strategies of longest backoff access and shortest backoff access and any number of links including single link.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a WiFi 7 multilink synchronous access throughput optimization method provided by an embodiment of the present invention.
Fig. 2 is a block diagram of a WiFi 7 multilink synchronous access throughput optimization system provided by an embodiment of the present invention;
in the figure: 1. a system parameter determination module; 2. a backoff window calculation module; 3. a broadcast module; 4. and an adjusting module.
Fig. 3 is a schematic diagram of a WiFi 7 multilink synchronous access scenario provided by an embodiment of the present invention.
Fig. 4 is a diagram of a state transition markov model for a head-of-line packet group according to an embodiment of the present invention.
Fig. 5 is a graph of throughput variation with initial backoff window (n-20, τ) provided by an embodiment of the present inventionT=138,τF136, K6).
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a WiFi 7 multilink synchronous access throughput optimization method and a WiFi 7 multilink synchronous access throughput optimization system, and the invention is described in detail below with reference to the attached drawings.
As shown in fig. 1, the WiFi 7 multilink synchronous access throughput optimization method provided by the embodiment of the present invention includes the following steps:
s101, determining system parameters by the AP;
s102, calculating by the AP to obtain an optimal initial backoff window;
s103, the AP broadcasts the obtained optimal initial backoff window and the maximum backoff level to each node;
and S104, each node adjusts the initial backoff window and the maximum backoff level according to the information provided by the AP.
As shown in fig. 2, the WiFi 7 multilink synchronous access throughput optimization system provided in the embodiment of the present invention includes:
the system parameter determining module 1 is used for determining system parameters through the AP;
a backoff window calculation module 2, configured to obtain an optimal initial backoff window through AP calculation;
a broadcasting module 3, configured to broadcast the obtained optimal initial backoff window and the obtained maximum backoff level to each node through the AP;
and the adjusting module 4 is used for adjusting the initial backoff window and the maximum backoff level of each node according to the information provided by the AP.
The technical solution of the present invention will be further described with reference to the following examples.
The technical method provides a WiFi 7 multilink network throughput optimization scheme based on a Markov process. The technical method analyzes the state transition process of the data packet by utilizing the Markov process so as to obtain a throughput model, improves the performance of the WiFi 7 network by maximizing the network throughput, and improves the utilization efficiency of wireless spectrum resources.
The invention specifically adopts the following technical scheme.
The network scenario of the present invention is shown in fig. 3, where multiple WiFi 7 multi-link devices use the same M link access channels for uplink data transmission to the AP. The throughput of the network is analyzed through a Markov model, and a state transition diagram of a head-of-line data packet group is shown in FIG. 4. State X for head of queue packet groupjCan be divided into 3 categories: (1) back off (State R)iI ═ 0, 1,. K); (2) conflict (State F)iI ═ 0, 1,. K); (3) successful transmission (state T). As shown, a head-of-line packet group leaves state RiIt will be sent, if it is successful it will enter state T, if it fails it will enter state FiAnd enters the next backoff state R after the collision is overi+1Or RK. Where i denotes the backoff level, the backoff level will not increase after the maximum backoff level K is reached. In the figure p(φ)And the probability of successful transmission of the head-of-queue data packet group is shown, wherein phi is L, and S respectively represents the longest backoff access and the shortest backoff access.
And the AP determines an optimal initial backoff window according to the following two formulas after collecting the network parameter information and broadcasts the optimal initial backoff window to each node, and the node adjusts the initial backoff window of the node according to the optimal initial backoff window to realize the maximum throughput of the network.
The maximum throughput is as follows:
the symbols in the formula have the following meanings:
M: number of links
n: number of nodes
K: maximum back-off level
τF: duration of conflict state
τT: successful transmit state duration
The following are preferred examples of the present technology:
in the scenario illustrated in fig. 3, maximizing network throughput may be achieved by:
(1) the AP determines system parameters such as the number of nodes, the number of links, an access strategy, conflict state holding time, maximum backoff level and the like.
(2) The AP calculates an optimal initial backoff window according to equations (1) (3) or (2) (3).
(3) And the AP broadcasts the obtained optimal initial backoff window and the maximum backoff level to each node.
(4) And each node adjusts the initial backoff window and the maximum backoff level of the node according to the information provided by the AP.
The positive effects of the present invention will be further described below with reference to specific simulation experimental data and the like.
Fig. 5 is a relationship of variation of throughput with an initial backoff window, and it can be seen that the initial backoff window has an obvious influence on throughput, and throughput is significantly improved when an optimal initial backoff window is used.
Fig. 5 shows the simulation results when the number of nodes is 20, the successful transmission duration is 138, the collision duration is 136, and the maximum backoff level is 6. It can be seen that the simulation results are consistent with the theoretical results. The maximum throughput when using the optimal initial backoff window under the single link condition is 0.885, which is 23% higher than 0.717 under the standard parameter setting. The maximum throughput under the condition of double links is 1.77, and under the two strategies of the longest backoff access and the shortest backoff access, the maximum throughput is respectively improved by 22% and 27% relative to the standard parameter setting. Meanwhile, the invention can realize the optimization of the throughput only by calculating the optimal initial backoff window according to a formula without a complex algorithm, and the realization is simple.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A multilink synchronous access throughput optimization method is characterized by comprising the following steps:
determining and collecting network system parameters by the AP;
calculating to obtain an optimal initial backoff window according to the collected network parameter information;
broadcasting the obtained optimal initial backoff window and the maximum backoff level to each node;
and each node adjusts the initial backoff window and the maximum backoff level according to the information provided by the AP.
2. The method of multilink synchronous access throughput optimization of claim 1 wherein said system parameters include number of nodes, number of links, access policy, collision state retention time and maximum backoff level.
3. The method of claim 1, wherein the calculating by the AP of the optimal initial back-off window comprises:
the AP determines an optimal initial backoff window according to the following formula after collecting the network parameter information and broadcasts the optimal initial backoff window to each node, and the nodes adjust the initial backoff windows of the nodes to realize the maximum throughput of the network according to the optimal initial backoff window:
the maximum throughput is as follows:
wherein the content of the first and second substances,represents an optimal initial backoff window when the longest backoff access is used;representing an optimal initial backoff window when using the shortest backoff access; m represents the number of links; n represents the number of nodes; k represents a maximum backoff level;representing an optimal transmission success probability; tau isFIndicating a conflict state duration; tau isTIndicating a successful transmit state duration;representing the maximum throughput.
4. The multilink synchronous access throughput optimization method of claim 1, wherein the multilink synchronous access throughput optimization method further comprises:
a plurality of WiFi 7 multi-link devices use the same M link access channels to carry out uplink data transmission to the AP; analyzing the throughput of the network by a Markov model; state X of the head-of-queue packet group in the state transition process of the head-of-queue packet groupjClassification into 3 categories:
(1) back off, state Ri,i=0,1,...,K;
(2) Conflict, state Fi,i=0,1,...,K;
(3) Successful transmission, state T.
5. The multilink synchronous access throughput optimization method of claim 4, wherein one head of line packetGroup leaving state RiIf the transmission is successful, entering a state T; if the transmission fails, enter state FiAnd enters the next backoff state R after the collision is overi+1Or RK(ii) a Wherein i represents a backoff level, and when the maximum backoff level K is reached, the backoff level will not be increased; p is a radical of(φ)And F, indicating the probability of successful transmission of the head-of-queue packet group, wherein phi is equal to L, and S respectively indicates the longest backoff access and the shortest backoff access.
6. A multilink synchronous access throughput optimization system applying the multilink synchronous access throughput optimization method according to any one of claims 1 to 5, wherein the multilink synchronous access throughput optimization system comprises:
the system parameter determining module is used for determining system parameters through the AP;
the optimal initial backoff window calculation module is used for obtaining an optimal initial backoff window through AP calculation;
the broadcast module is used for broadcasting the obtained optimal initial backoff window and the maximum backoff level to each node through the AP;
and the adjusting module is used for adjusting the initial backoff window and the maximum backoff level of each node according to the information provided by the AP.
7. A computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:
determining system parameters including the number of nodes, the number of links, an access strategy, conflict state holding time and a maximum backoff level through an AP; calculating by the AP to obtain an optimal initial backoff window;
the AP broadcasts the obtained optimal initial backoff window and the maximum backoff level to each node; each node adjusts its initial backoff window and maximum backoff level according to the information provided by the AP.
8. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
determining system parameters including the number of nodes, the number of links, an access strategy, conflict state holding time and a maximum backoff level through an AP; calculating by the AP to obtain an optimal initial backoff window;
the AP broadcasts the obtained optimal initial backoff window and the maximum backoff level to each node; each node adjusts its initial backoff window and maximum backoff level according to the information provided by the AP.
9. An information data processing terminal characterized by being configured to implement the multilink synchronous access throughput optimization system of claim 6.
10. An AP carrying the multilink synchronous access throughput optimization system of claim 6 and implementing the multilink synchronous access throughput optimization method of any one of claims 1 to 5.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117527830A (en) * | 2023-11-30 | 2024-02-06 | 上海烜翊科技有限公司 | Method and system for synchronous communication of data streams among multiple subsystems in embedded system |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150257174A1 (en) * | 2012-09-05 | 2015-09-10 | ZTE Corportion | Method and device for adjusting contention window value adaptively |
WO2017010799A1 (en) * | 2015-07-16 | 2017-01-19 | Samsung Electronics Co., Ltd. | Method and apparatus for adaptive control of contention window in laa |
CN108601067A (en) * | 2018-01-11 | 2018-09-28 | 南京华讯方舟通信设备有限公司 | A kind of wireless self-networking carrier wave detection channel access method kept out of the way based on time/power two-dimensional |
CN108966361A (en) * | 2018-07-23 | 2018-12-07 | 西安电子科技大学 | Dynamic back-off method based on the broadcast of WiFi mesh networks beacon frame |
CN109819505A (en) * | 2019-03-11 | 2019-05-28 | 重庆邮电大学 | A kind of limiting and access window time slot adaptation method of network energy efficiency optimization |
CN110121177A (en) * | 2019-05-08 | 2019-08-13 | 中山大学 | LTE keeps out of the way window distribution method of adjustment with WiFi co-existin networks |
CN110312313A (en) * | 2019-05-21 | 2019-10-08 | 河南科技大学 | Based on multi channel wireless body area network MAC protocol, communication means and system |
CN110602798A (en) * | 2019-09-20 | 2019-12-20 | 中山大学 | Distributed determination method for optimal parameters of LTE network machine communication random access |
-
2021
- 2021-07-05 CN CN202110759085.1A patent/CN113473505B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150257174A1 (en) * | 2012-09-05 | 2015-09-10 | ZTE Corportion | Method and device for adjusting contention window value adaptively |
WO2017010799A1 (en) * | 2015-07-16 | 2017-01-19 | Samsung Electronics Co., Ltd. | Method and apparatus for adaptive control of contention window in laa |
CN108601067A (en) * | 2018-01-11 | 2018-09-28 | 南京华讯方舟通信设备有限公司 | A kind of wireless self-networking carrier wave detection channel access method kept out of the way based on time/power two-dimensional |
CN108966361A (en) * | 2018-07-23 | 2018-12-07 | 西安电子科技大学 | Dynamic back-off method based on the broadcast of WiFi mesh networks beacon frame |
CN109819505A (en) * | 2019-03-11 | 2019-05-28 | 重庆邮电大学 | A kind of limiting and access window time slot adaptation method of network energy efficiency optimization |
CN110121177A (en) * | 2019-05-08 | 2019-08-13 | 中山大学 | LTE keeps out of the way window distribution method of adjustment with WiFi co-existin networks |
CN110312313A (en) * | 2019-05-21 | 2019-10-08 | 河南科技大学 | Based on multi channel wireless body area network MAC protocol, communication means and system |
CN110602798A (en) * | 2019-09-20 | 2019-12-20 | 中山大学 | Distributed determination method for optimal parameters of LTE network machine communication random access |
Non-Patent Citations (2)
Title |
---|
YAYU GAO: "Throughput Optimization of Multi-BSS IEEE 802.11 Networks With Universal Frequency Reuse", 《IEEE TRANSACTIONS ON COMMUNICATIONS》 * |
李瑞芳: "适于无线多媒体传感器网络的MAC层退避算法", 《通信学报》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117527830A (en) * | 2023-11-30 | 2024-02-06 | 上海烜翊科技有限公司 | Method and system for synchronous communication of data streams among multiple subsystems in embedded system |
CN117527830B (en) * | 2023-11-30 | 2024-04-30 | 上海烜翊科技有限公司 | Method and system for synchronous communication of data streams among multiple subsystems in embedded system |
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