WO2023050571A1 - Method for wireless crossover frequency-band backhaul, and system - Google Patents

Abstract

Described in the present invention is a wireless crossover frequency-band backhaul method for EasyMesh networking. The method comprises measuring an optimal path selection by means of a path metric. Specifically, a backhaul path between node networking devices and whether a 5G frequency band or a 2.4G frequency band is used for backhaul are dynamically selected by means of compiling statistics on and analyzing parameters related to wireless backhaul quality (such as a channel utilization rate, noise interference, a client connection rate, a received channel power parameter, etc.).

Description

Method and system for wireless cross-band backhaul technical field

The invention relates to the field of wireless communication and terminals, in particular to a wireless cross-band backhaul method and system for EasyMesh networking.

Background technique

EasyMesh is a standardized certification project provided by the Wi-Fi Alliance for Mesh Wi-Fi networking equipment. develop.

The EasyMesh network consists of a master node and one or more slave node devices through wired or wireless networking. In the current EasyMesh wireless networking, node devices only consider the selection of backhaul links in the same frequency band, which is difficult to meet the wireless networking performance of home users in actual complex environment scenarios.

Therefore, there is a need for a technique for improving the above-mentioned deficiencies in the prior art.

Contents of the invention

This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

In order to solve the above technical problems, the present invention provides a method for wireless cross-band backhaul for EasyMesh networking. The method uses the path metrics of all possible paths between the current node device and the next-level node device to make the best path selection and frequency band selection.

Specifically, the technical solution of the present invention calculates and analyzes wireless backhaul quality-related parameters

(such as channel usage rate, noise interference, client connection rate and receiving channel power parameters, etc.) to dynamically select the return path between node networking devices and use the 5G frequency band, 2.4G frequency band or other supported frequency bands, To enable wireless cross-band backhaul.

This method further optimizes the selection of the wireless backhaul link, rather than being limited to the same frequency band and a single signal strength factor as the basis for wireless backhaul. In addition, the present invention is suitable for selecting a wireless backhaul link in an EasyMesh wireless networking scenario, maximizing the utilization rate of wireless bandwidth, and improving the networking performance of home users in an actual complex environment scenario.

In one embodiment of the present invention, a wireless cross-band backhaul method for EasyMesh networking is disclosed, the method comprising:

Receive a packet from an upper-level node device at the current node device;

Select the best frequency band and the best path based on the path metrics of all paths between the current node device and the next-level node device, and the best frequency band and the best path are based on the path with the smallest path metric among all the paths. choose; and

Sending the packet to the next-level node device by using the optimal frequency band and the optimal path.

In one embodiment of the present invention, the node device may be an EasyMesh node device.

In an embodiment of the present invention, the all paths may include all possible paths from the current node device to the next-level node device through zero or more intermediate node devices, and each path consists of Links between each pair of adjacent node devices in all node devices in the path.

In an embodiment of the present invention, the path metric may be the sum of link metrics of all links in the corresponding path.

In one embodiment of the present invention, the link metric can be based on the following formula, based on link channel usage (CU), noise interference (NI), client connection rate (CA) and received channel power parameter (RCPI ) and combined with the weights of the above items in different frequency bands to calculate:

Link Metric = [(CU*Wcu)+(NI*Wni)+(CA*Wca)-(RCPI*Wrcpi)]/4,

Wherein Wcu, Wni, Wca and Wrcpi are the weights of Channel Utilization Rate (CU), Noise Interference (NI), Client Connection Rate (CA) and Received Channel Power Parameter (RCPI) when using different frequency bands respectively, and said weight is vary by frequency band, and

The link metric of each link is the minimum value among link metrics calculated according to different weights corresponding to different frequency bands.

In an embodiment of the present invention, the optimal frequency band may be the frequency band used when calculating the minimum link metric, and may be selected from 5G frequency band, 2.4G frequency band and other supported frequency bands (such as 6G, etc.).

In one embodiment of the present invention, the metric of the channel usage rate (CU) is provided based on the channel usage rate information measured in the last 30 seconds according to the following formula:

CU＝(CU*30 in the first 15 seconds+CU*70 in the next 15 seconds)/100,

In the measurement of these 30 seconds, the last 15 seconds account for 70% of the weight, and the first 15 seconds account for 30% of the weight.

In one embodiment of the present invention, the metric of the noise interference (NI) is determined based on the ratio of the false alarm measured in the last 30 seconds to the channel idle assessment according to the following formula:

NI=(NI*30 in the first 15 seconds+NI*70 in the next 15 seconds)/100,

In the measurement of these 30 seconds, the last 15 seconds account for 70% of the weight, and the first 15 seconds account for 30% of the weight.

In one embodiment of the present invention, the measurement of the client connection rate (CA) is according to the following formula, based on the total number of clients on the current frequency band of the two node devices in the link and the total number of clients on the current frequency band of the two node devices Determined as a percentage of the total number of clients:

CA=(the total number of clients on the current frequency band of the two node devices/the total number of clients on all common frequency bands of the two node devices)*100,

Wherein, the weight of the client connection rate (CA) under the 2.4G frequency band is higher.

In one embodiment of the present invention, the metric of the received channel power parameter (RCPI) is determined based on the preamble on the specified channel and the radio frequency power of the entire frame according to the following formula:

RCPI=rounded {(power in dBm+110)×2},

Among them: -110dBm<power<0dBm.

In another embodiment of the present invention, a computer system is disclosed, including means for executing the steps in the above method according to an embodiment of the present invention.

In yet another embodiment of the present invention, a computer-readable storage medium storing instructions is disclosed, and the instructions are used to execute the steps in the above method according to one embodiment of the present invention when executed by a processor.

Other aspects, features, and embodiments of the invention will become apparent to those of ordinary skill in the art after reading the following description of specific exemplary embodiments of the invention in conjunction with the accompanying drawings. Although features of the invention may be discussed below with respect to certain embodiments and figures, all embodiments of the invention may include one or more of the advantageous features discussed herein. In other words, while one or more embodiments may be discussed as having certain advantageous features, one or more of such features may also be used in accordance with the various embodiments of the invention discussed herein. In like manner, although exemplary embodiments may be discussed below as device, system, or method embodiments, it should be appreciated that such exemplary embodiments can be implemented in various devices, systems, and methods.

Description of drawings

So that the manner in which the above recited features of the present disclosure can be understood in detail, a more particular description of what has been briefly summarized above may be had by reference to various aspects, some of which are illustrated in the accompanying drawings. It is to be noted, however, that the appended drawings illustrate only certain typical aspects of the disclosure and are therefore not to be considered limiting of its scope, for the description may admit to other equally effective aspects.

Figures 1a, 1b and 1c show the existing wireless backhaul mode for EasyMesh networking and the wireless cross-band backhaul mode according to an embodiment of the present invention.

Fig. 2 shows a block diagram of a wireless cross-band backhaul module according to an embodiment of the present invention.

Fig. 3 shows a flowchart of a wireless cross-band backhaul method according to an embodiment of the present invention.

Detailed ways

Various embodiments will be described in more detail below with reference to the accompanying drawings which form a part hereof and which show specific exemplary embodiments. Embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and these The scope of the embodiments is fully conveyed to those of ordinary skill in the art. Various embodiments may be implemented as methods, systems or devices. Accordingly, these embodiments may take the form of a hardware implementation, an entirely software implementation, or a combination of software and hardware aspects. Therefore, the following detailed description is not limiting.

The steps in each flowchart may be performed by hardware (eg, processors, engines, memories, circuits), software (eg, operating systems, applications, drivers, machine/processor executable instructions), or a combination thereof. As will be understood by those of ordinary skill in the art, the methods involved in the various embodiments may include more or fewer steps than shown.

Various aspects of the present disclosure will be described in detail below through block diagrams, data flow diagrams, and method flowcharts.

Figures 1a, 1b and 1c show the existing wireless backhaul mode for EasyMesh networking and the wireless cross-band backhaul mode according to an embodiment of the present invention.

As shown in Figure 1a, the node devices in the current EasyMesh wireless network only consider the selection of the backhaul link in the same frequency band (the 5GHz frequency band in Figure 1a), and the considerations for path selection are only limited to signal strength . Therefore, the existing wireless backhaul method lacks the flexibility of path selection and frequency band selection.

The technical solution of the present invention can not only consider the traditional signal strength factor (that is, the receiving channel power in the present invention), but also increase factors such as channel usage rate, noise interference, and client connection rate, so as to provide wireless backhaul more accurately Link selection, and for different actual usage scenarios, 5G, 2.4G or other supported frequency bands (such as 6G, etc.) can also be selected for wireless cross-backhaul between different networking devices to ensure better link quality

Flexible selection of frequency bands, because 5G frequency bands have higher data transmission rates and faster speeds in short distances, but have greater attenuation when propagating in the air or obstacles; while 2.4G frequency bands have low signal frequencies and low transmission rates, However, when propagating in the air or obstacles, the attenuation is smaller and the propagation distance is longer. Therefore, for the dual-band EasyMesh device, the wireless backhaul needs to be more accurate and flexible to choose a more reasonable wireless backhaul according to the actual usage scenario. band.

As shown in Figure 1b, different from the 5GHz frequency band used in Figure 1a for backhaul, the link from node device B to node C is based on channel usage, noise interference, client connection rate and receiving channel power parameters. The 2.4GHz frequency band is used, because combined with the weight corresponding to the 2.4GHz frequency band, the minimum link metric of the link is calculated based on the channel usage rate, noise interference, client connection rate and receiving channel power parameters based on the link. The minimum link metric makes the path metric of the entire path (ie node device A→node device B→node device C) smaller, which will be described in detail below.

It can be seen that the technical solution of the present invention changes the original limitation that all networking devices only backhaul in the 5G frequency band or 2.4G frequency band, realizes that all networking devices can perform wireless backhaul through cross-bands, and further optimizes the actual wireless backhaul Link quality maximizes the utilization rate of wireless bandwidth and improves the networking performance of home users in actual complex environment scenarios.

In addition to the topology shown in FIG. 1b, FIG. 1c shows an example of a more complex topology using the wireless cross-band backhaul method of the present invention. Although only two frequency bands of 2.4GHz and 5GHz are shown in FIG. 1c, those skilled in the art can understand that this example also supports other suitable frequency bands, such as 6GHz. In this example, the possible path choices become very complex when wireless cross-band backhaul is considered. Table 1 below shows the wireless networking path selection among the three EasyMesh node devices.

Table 1: Wireless networking path selection between 3 EasyMesh node devices

As those skilled in the art can understand, the above Table 1 only exemplarily shows the wireless networking path selection among three EasyMesh node devices, and the present invention is not limited to the three node devices and their topology.

It can be seen from Table 1 that when the topology changes or more wireless node devices join, the possible optimal path selection will increase a lot. Therefore, there is a need for a more flexible way to address and meet the constant changes in the environment, which will be described in more detail below.

Fig. 2 shows a block diagram of a wireless cross-band backhaul module according to an embodiment of the present invention.

As shown in Figure 2, exemplary three wireless cross-band backhaul modules 202, 204, and 206 can be implemented in respective EasyMesh node devices A, B, and C (as shown in Figure 1c), and the three nodes The devices make up the topology shown in Figure 1c. Those skilled in the art can understand that the number of the wireless cross-band backhaul module (and the node devices A, B, and C in which the wireless cross-band backhaul module is implemented) in FIG. The topology structure is also exemplary, and the three wireless cross-band backhaul modules shown in Figure 2 (and the node devices A, B, and C in which the wireless cross-band backhaul module is implemented) and the topology of their components are only for clarifying Various embodiments of the present invention are shown, not intended to limit the scope of the present invention.

In one embodiment of the present invention, when the node device A in which the wireless cross-band return module 202 is implemented receives a packet from the upper-level node device, the wireless cross-band return module 202, specifically, the wireless cross-band return The path selection component in the transmission module 202 selects the best frequency band and the best path based on the path metrics of all paths between the local node device A and the next-level node device.

Specifically, as an example and not a limitation, if the path selection component in the wireless cross-band backhaul module 202 determines that the next-level node device is the node device C where the wireless cross-band backhaul module 206 is located, then all possible paths include AB+ BC and AC, that is, all paths may include all possible paths from the current node device A to the next-level node device (node device C) through zero or more intermediate node devices (node device B).

Each path is composed of links between every pair of adjacent node devices among all node devices in the path. In this example, path AB+BC is composed of links AB and BC, and path AC is composed of links AC composition.

A path metric is the cost of a single path, which may evaluate the link quality of each node by signal strength or other factors. According to the topology shown in FIG. 2 , the path selection component in the wireless cross-band backhaul module 202 can determine that: the best metric of the path from node device A to node device C is path AB+BC (hereinafter referred to as path 1 ) and the minimum value of the path metric of path AC (hereinafter referred to as path 2), as shown in the following formula:

A→C best metric = min(|AB| metric+|BC| metric, |AC| metric).

In this context, since Path 1 consists of AB links and BC links (i.e., links between each pair of adjacent node devices), the path metric of Path 1 is the chain of AB links and BC links The sum of path metrics, and since path 2 includes only one link, that is, the AC link, the path metric of path 2 is the link metric of the AC link.

Subsequently, the path selection component in the wireless cross-band backhaul module 202 calculates the link metrics of each link in all possible paths.

In one embodiment of the present invention, the path selection component in the wireless cross-band backhaul module 202 can follow the following formula, based on link channel usage (CU), noise interference (NI), client connection rate (CA) And receive channel power parameter (RCPI) and combine the weights of the above items in different frequency bands to calculate the link circuit:

Link Metric = [(CU*Wcu)+(NI*Wni)+(CA*Wca)-(RCPI*Wrcpi)]/4,

Among them, Wcu, Wni, Wca and Wrcpi are the weights of channel utilization rate (CU), noise interference (NI), client connection rate (CA) and received channel power parameter (RCPI) when using different frequency bands, and the weights are due to the frequency band different, and the link metric of each link is the minimum value among link metrics calculated according to different weights corresponding to different frequency bands.

In the above embodiment, the reason why the calculation method of the link metric needs to combine the weights corresponding to different frequency bands is because the 5G frequency band has a higher data transmission rate and faster speed in a short distance, but in the air or obstacles The attenuation is large during propagation; while the 2.4G frequency band signal has low frequency and low transmission rate, but the attenuation is small when propagating in the air or obstacles, and the propagation distance is longer. Therefore, for the dual-band EasyMesh device, the wireless backhaul needs to be based on the actual The usage scenario is more precise and flexible to select a more reasonable wireless backhaul frequency band and path selection.

Therefore, in the above formula for calculating the link metric, the link metrics in different frequency bands are calculated by using the weights corresponding to 5Ghz and 2.4GHz respectively, and the minimum value is taken as the link metric of the current link.

In one embodiment of the present invention, because the 2.4G frequency band bandwidth, packet transmission speed, etc. limit):

factor weight 2.4GHz frequency band 5GHz frequency band Channel Utilization (Wcu) 50 30 Noise interference (Wni) 25 10 Client Connection Rate (Wca) 20 10 Receive channel power parameter (Wrcpi) 15 40

Table 2: The weight value of each parameter in the 2.4G frequency band and 5G frequency band

When the minimum value of the link metric of the link is calculated, the frequency band selection component in the wireless cross-band backhaul module 202 can determine the frequency band used when the minimum link metric is calculated (that is, when the minimum link metric is calculated When using a set of weights corresponding to the frequency band) and use it as the best frequency band for the link.

In one embodiment of the present invention, when calculating the link metric, the path selection component in the wireless cross-band backhaul module 202 calculates the channel usage rate (CU) based on the channel usage rate information measured in the last 30 seconds according to the following formula ) measure:

CU＝(CU*30 in the first 15 seconds+CU*70 in the next 15 seconds)/100,

In the measurement of these 30 seconds, the last 15 seconds account for 70% of the weight, and the first 15 seconds account for 30% of the weight.

In one embodiment of the present invention, when calculating the link metric, the path selection component in the wireless cross-band backhaul module 202 determines the noise based on the ratio of the false alarm measured in the last 30 seconds to the channel idle assessment according to the following formula Measure of Interference (NI):

NI=(NI*30 in the first 15 seconds+NI*70 in the next 15 seconds)/100,

In the measurement of these 30 seconds, the last 15 seconds account for 70% of the weight, and the first 15 seconds account for 30% of the weight.

In one embodiment of the present invention, when calculating the link metric, the path selection component in the wireless cross-band return module 202 follows the following formula, based on the total number of clients on the current frequency band of the two node devices in the link and the two The client connection rate (CA) metric is determined as a percentage of the total number of clients on all common frequency bands of a node device:

CA=(the total number of clients on the current frequency band of the two node devices/the total number of clients on all common frequency bands of the two node devices)*100,

Wherein, the weight of the client connection rate (CA) under the 2.4G frequency band is higher.

In one embodiment of the present invention, when calculating the link metric, the path selection component in the wireless cross-band backhaul module 202 determines the receiving channel power based on the preamble on the designated channel and the radio frequency power of the entire frame according to the following formula Metrics for parameters (RCPI):

RCPI=rounded {(power in dBm+110)×2},

Among them: -110dBm<power<0dBm.

Thus, the wireless cross-band backhaul module 202 can determine the best path from node device A to node device C and the best frequency bands used by one or more links in the best path.

In one embodiment of the present invention, if the path selection component in the wireless cross-band backhaul module 202 determines that the best path A→C is path 2, that is, directly from node device A to node device C, then node device A uses The frequency band selection component in the wireless cross-band return module 202 determines the best frequency band of the link AC to directly send the received packet to the node device C.

In another embodiment of the present invention, if the path selection component in the wireless cross-band backhaul module 202 determines that the best path A→C is path 1, that is, from node device A to node device C via node device B, the node Device A uses the optimal frequency band of link AB determined by the frequency band selection component in the wireless cross-band backhaul module 202 to send the received packet to node device B. Subsequently, the wireless cross-band backhaul module 204 in the node device B determines the best path and the best frequency band to the node device C in the same manner, or can use the wireless cross-band backhaul module 202 in the node device A Best path and best frequency band.

FIG. 3 shows a flowchart of a wireless cross-band backhaul method 300 according to an embodiment of the present invention.

The method 300 starts at step 302, where the current node device receives a packet from the upper node device. In one embodiment of the present invention, the node device may be an EasyMesh node device.

In step 304, the best frequency band and the best path are selected based on the path metrics of all paths between the current node device and the next-level node device, the best frequency band and the best path are based on the path with the smallest path metric among all paths to choose.

In one embodiment of the present invention, all paths may include all possible paths from the current node device to the next-level node device through zero or more intermediate node devices, and each path is composed of all nodes in the path Links between each pair of adjacent node devices in the device.

In an embodiment of the present invention, the path metric may be the sum of link metrics of all links in the corresponding path.

In one embodiment of the present invention, the link metric can be according to the following formula, based on link channel usage (CU), noise interference (NI), client connection rate (CA) and received channel power parameter (RCPI) and Combine the weights of the above items in different frequency bands to calculate:

Link Metric = [(CU*Wcu)+(NI*Wni)+(CA*Wca)-(RCPI*Wrcpi)]/4,

Among them, Wcu, Wni, Wca and Wrcpi are the weights of channel utilization rate (CU), noise interference (NI), client connection rate (CA) and received channel power parameter (RCPI) when using different frequency bands, and the weights are due to the frequency band different, and the link metric of each link is the minimum value among link metrics calculated according to different weights corresponding to different frequency bands.

In an embodiment of the present invention, the optimal frequency band may be the frequency band used when calculating the minimum link metric, and may be selected from 5G frequency band, 2.4G frequency band and other supported frequency bands (such as 6G, etc.).

In one embodiment of the present invention, the metric of channel usage (CU) is provided based on the channel usage information measured in the last 30 seconds according to the following formula:

CU＝(CU*30 in the first 15 seconds+CU*70 in the next 15 seconds)/100,

In the measurement of these 30 seconds, the last 15 seconds account for 70% of the weight, and the first 15 seconds account for 30% of the weight.

In one embodiment of the invention, the measure of noise interference (NI) is determined based on the ratio of false alarms to channel idle estimates measured in the last 30 seconds according to the following formula:

NI=(NI*30 in the first 15 seconds+NI*70 in the next 15 seconds)/100,

In the measurement of these 30 seconds, the last 15 seconds account for 70% of the weight, and the first 15 seconds account for 30% of the weight.

In one embodiment of the present invention, the metric of client connection rate (CA) is according to following formula, based on the number of clients on the current frequency band of two node devices in the link and the total clients on all shared frequency bands of these two node devices Determined as a percentage of terminal numbers:

CA=(the total number of clients on the current frequency band of the two node devices/the total number of clients on all common frequency bands of the two node devices)*100,

Wherein, the weight of the client connection rate (CA) under the 2.4G frequency band is higher.

In one embodiment of the present invention, the metric of the received channel power parameter (RCPI) is determined based on the preamble on the designated channel and the radio frequency power of the entire frame according to the following formula:

RCPI = round {(power in dBm+110) x 2},

Among them: -110dBm<power<0dBm.

Finally, in step 306, the optimal frequency band and the optimal path are used to send the packet to the next-level node device. Method 300 ends.

The above is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present invention can easily think of changes or Replacement should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (10)

A wireless cross-band backhaul method for EasyMesh networking, the method comprising: Receive a packet from an upper-level node device at the current node device; Select the best frequency band and the best path based on the path metrics of all paths between the current node device and the next-level node device, the best frequency band and the best path are based on the minimum path among all the paths Metric paths to choose from; and Sending the packet to the next-level node device by using the optimal frequency band and the optimal path. The method of claim 1, wherein the node device is an EasyMesh node device. The method according to claim 1, wherein said all paths include all possible paths from said current node device to reach said next-level node device through zero or more intermediate node devices, and each path consists of Links between each pair of adjacent node devices in all node devices in the path. The method of claim 3, wherein the path metric is the sum of link metrics of all links in the corresponding path. The method according to claim 4, wherein said link metric is according to the following formula, link-based channel usage (CU), noise interference (NI), client connection rate (CA) and receiving channel power parameter ( RCPI) and combined with the weights of the above parameters in different frequency bands to calculate: Link Metric = [(CU*Wcu)+(NI*Wni)+(CA*Wca)-(RCPI*Wrcpi)]/4, Wherein Wcu, Wni, Wca and Wrcpi are the weights of Channel Utilization Rate (CU), Noise Interference (NI), Client Connection Rate (CA) and Received Channel Power Parameter (RCPI) when using different frequency bands respectively, and said weight is vary by frequency band, and The link metric of each link is the minimum value among link metrics calculated according to different weights corresponding to different frequency bands. The method according to claim 5, wherein the optimal frequency band is the frequency band used when calculating the minimum link metric, and is selected from 5G frequency band, 2.4G frequency band and other supported frequency bands. The method of claim 5, wherein the measure of channel usage (CU) is provided based on the channel usage information measured in the last 30 seconds according to the following formula: CU＝(CU*30 in the first 15 seconds+CU*70 in the next 15 seconds)/100, In the measurement of these 30 seconds, the last 15 seconds account for 70% of the weight, and the first 15 seconds account for 30% of the weight. The method of claim 5, wherein the measure of noise interference (NI) is determined based on the ratio of false alarms to channel idle estimates measured in the last 30 seconds according to the following formula: NI=(NI*30 in the first 15 seconds+NI*70 in the next 15 seconds)/100, In the measurement of these 30 seconds, the last 15 seconds account for 70% of the weight, and the first 15 seconds account for 30% of the weight. The method according to claim 5, wherein the measurement of the client connection rate (CA) is according to the following formula, based on the total number of clients on the current frequency band of the two node devices in this link and the total number of clients shared by the two node devices Determined as a percentage of the total number of clients on the band: CA=(the total number of clients on the current frequency band of the two node devices/the total number of clients on all common frequency bands of the two node devices)*100, Wherein, the weight of the client connection rate (CA) under the 2.4G frequency band is higher. The method of claim 5, wherein the measure of the received channel power parameter (RCPI) is determined based on the preamble on the designated channel and the radio frequency power of the entire frame according to the following formula: RCPI=rounded {(power in dBm+110)×2}, Among them: -110dBm<power<0dBm.

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