CN112825582A - Channel optimization support device and method, access point management system, and recording medium - Google Patents

Channel optimization support device and method, access point management system, and recording medium Download PDF

Info

Publication number
CN112825582A
CN112825582A CN202011271369.8A CN202011271369A CN112825582A CN 112825582 A CN112825582 A CN 112825582A CN 202011271369 A CN202011271369 A CN 202011271369A CN 112825582 A CN112825582 A CN 112825582A
Authority
CN
China
Prior art keywords
channel
access points
objective function
optimization
support apparatus
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN202011271369.8A
Other languages
Chinese (zh)
Inventor
冈本信
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Furuno Electric Co Ltd
Original Assignee
Furuno Electric Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Furuno Electric Co Ltd filed Critical Furuno Electric Co Ltd
Publication of CN112825582A publication Critical patent/CN112825582A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/16Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H04W28/18Negotiating wireless communication parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W48/00Access restriction; Network selection; Access point selection
    • H04W48/16Discovering, processing access restriction or access information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W48/00Access restriction; Network selection; Access point selection
    • H04W48/20Selecting an access point

Abstract

The invention provides a channel optimization support device and method, an access point management system and a recording medium, which can realize the optimization of channels of a plurality of access points. The channel optimization support device includes: an objective function generation unit that generates an objective function based on a variable indicating whether each of the plurality of access points uses each of the plurality of channels; and an optimization calculation unit that calculates a channel used by each of the plurality of access points by performing optimization calculation of the objective function under a predetermined constraint condition.

Description

Channel optimization support device and method, access point management system, and recording medium
Technical Field
The present invention relates to a channel (channel) optimization support device, a channel optimization support method, an access point (access point) management system, and a recording medium.
Background
Patent document 1 discloses: a group to which each cell belongs is determined so that the shortest distance between cells belonging to the same group is constant, a band to be allocated to the cell belonging to the determined group is determined in units of the group, and band allocation is performed for different groups.
[ Prior art documents ]
[ patent document ]
[ patent document 1] Japanese patent laid-open No. 2005-27189
Disclosure of Invention
[ problems to be solved by the invention ]
In facilities such as schools, a plurality of access points may be densely arranged. When setting a channel to an access point, there is a limitation such as avoiding interference with a channel of a nearby access point, but when there are a plurality of access points, channel management is complicated.
The present invention has been made in view of the above problems, and a main object thereof is to provide a channel optimization support device, a channel optimization support method, an access point management system, and a recording medium, which facilitate optimization of channels of a plurality of access points.
[ means for solving problems ]
In order to solve the above problem, a channel optimization support device according to an aspect of the present invention includes: an objective function generation unit that generates an objective function based on a variable indicating whether each of the plurality of access points uses each of the plurality of channels; and an optimization calculation unit that calculates a channel used by each of the plurality of access points by performing optimization calculation of the objective function under a predetermined constraint condition.
Further, an access point management system according to another aspect of the present invention includes: a plurality of access points; an objective function generation unit that generates an objective function based on a variable indicating whether each of the plurality of access points uses each of the plurality of channels; an optimization calculation unit that calculates a channel used by each of the plurality of access points by performing optimization calculation of the objective function under a predetermined constraint condition; and a channel setting unit configured to set channels to the plurality of access points based on a calculation result of the optimization calculation unit.
In addition, a channel optimization support method according to another aspect of the present invention generates an objective function based on a variable indicating whether each of a plurality of channels is used by each of a plurality of access points, and calculates a channel used by each of the plurality of access points by performing optimization calculation of the objective function under a predetermined constraint condition.
A recording medium according to another aspect of the present invention records a program for causing a computer to function as an objective function generation unit and an optimization calculation unit as follows: the objective function generation unit generates an objective function based on a variable indicating whether each of the plurality of access points uses each of the plurality of channels; and the optimization calculation unit calculates a channel used by each of the plurality of access points by performing optimization calculation of the objective function under a predetermined constraint condition.
[ Effect of the invention ]
According to the present invention, optimization of the channels of a plurality of access points is easily achieved.
Drawings
Fig. 1 is a diagram showing an example of an access point management system according to an embodiment.
Fig. 2 is a diagram showing an example of the configuration of an access point.
Fig. 3 is a diagram showing an example of the configuration of an access point.
Fig. 4 is a diagram for explaining channels of the 5GHz band.
Fig. 5 is a diagram showing a configuration example of a channel optimization support device according to the embodiment.
Fig. 6 is a diagram showing an example of the location database.
Fig. 7 is a diagram showing an example of the procedure of the channel optimization support method according to the embodiment.
Fig. 8 is a diagram showing an example of an image showing the positions and channels of access points.
Fig. 9 is a diagram showing an example of an image showing the positions and channels of access points.
[ description of symbols ]
1: channel optimization support device
10: control unit
11: position acquisition unit
12: distance acquisition unit
13: target function generating unit
14: optimization calculation unit
15: channel setting unit
16: image generation unit
100: access point management system
2: database with a plurality of databases
2D: two dimensional space
3: display unit
3D: three-dimensional space
9. 9A, 9B: access point
90: access point group
91. 92: wireless communication part (5GHz band)
97: wireless communication part (2.4GHz band)
98: control unit
99: wired communication unit
B: building construction
OB: object
S11-S17: step (ii) of
Detailed Description
Embodiments of the present invention will be described below with reference to the drawings.
[ System outline ]
Fig. 1 is a diagram showing an example of an access point management system 100 according to an embodiment. The access point management system 100 includes the channel optimization support apparatus 1 (hereinafter, simply referred to as "support apparatus 1") and the access point group 90 according to the embodiment.
The support apparatus 1 is a computer such as a personal computer (personal computer) or a server computer (server computer).
The access point group 90 includes a plurality of access points 9. The plurality of access points 9 are installed in each room of a building B of one or more stories such as a school, an enterprise, or a research facility. In the figure, the X direction and the Y direction are horizontal directions, and the Z direction is a vertical direction.
The support apparatus 1 and the plurality of access points 9 can communicate with each other via a communication Network such as a Local Area Network (LAN). The access point 9 is a wireless LAN access point, and connects a wireless LAN client, not shown, to a communication network such as a wired LAN.
Fig. 2 and 3 are block diagrams showing configuration examples of the access point 9(9A, 9B). The access point 9 is a generic term for the access points 9A and 9B. The number of wireless communication units 91 and 92 using the 5GHz band differs between access point 9A and access point 9B.
Specifically, the access point 9A includes one wireless communication unit 91 using the 5GHz band. The access point 9B includes two wireless communication units 91 and 92 using a 5GHz band.
In addition, the access points 9A and 9B include a wireless communication unit 97, a control unit 98, and a wired communication unit 99 that use a 2.4GHz band. Further, there may be an access point including three or more wireless communication sections using the 5GHz band.
Fig. 4 is a diagram for explaining channels of the 5GHz band. The 5GHz band includes a group of W52(5.2GHz band), W53(5.3GHz band), and W56(5.6GHz band). The channel width can adopt 20MHz, 40MHz or 80 MHz.
For example, in the group of W52, when the channel width is 20MHz, 36ch, 40ch, 44ch, and 48ch are used. When the channel width is 40MHz, 36ch +40ch and 44ch +48ch are used. When the channel width is 80MHz, 36ch +40ch +44ch +48ch are used.
Fig. 5 is a block diagram showing a configuration example of the support apparatus 1. The support device 1 includes a control unit 10. The control Unit 10 is a computer including a Central Processing Unit (CPU), a Random Access Memory (RAM), a Read Only Memory (ROM), a nonvolatile Memory, an input/output interface, and the like. The CPU of the control section 10 executes information processing in accordance with a program downloaded from the ROM or the nonvolatile memory to the RAM.
The program may be provided via an information storage medium such as an optical disk or a memory card, or may be provided via a communication network such as the Internet (Internet) or a LAN.
The control unit 10 can access the database 2. The database 2 may be provided in the support apparatus 1, or may be provided outside the support apparatus 1 and accessed via a communication network.
The display unit 3 displays an image based on a display instruction from the control unit 10. The display unit 3 may be provided in the support apparatus 1, or may be provided outside the support apparatus 1 and receive a display command via a communication network.
The control unit 10 includes a position acquisition unit 11, a distance acquisition unit 12, an objective function generation unit 13, an optimization calculation unit 14, a channel setting unit 15, and an image generation unit 16. These functional units are realized by the CPU of the control unit 10 executing information processing in accordance with a program.
Fig. 6 is a diagram showing an example of a location database constructed within the database 2. The location database has registered therein the respective locations of the plurality of access points 9.
Specifically, the location database includes fields (fields) of "identification code", "model", "configuration location", and "configuration layer".
The "identification code" is an identification code for identifying the access point 9. The "model" indicates the model of the access point 9. The number of the wireless communication units 91 and 92 using the 5GHz band is determined based on the model.
The "configuration position" represents the position of the access point 9 in the horizontal direction in XY coordinates. The "arrangement floor" indicates the position of the access point 9 in the vertical direction as the number of floors of the building.
[ optimization of channels ]
Next, optimization of channel allocation for allocating a channel of a 5GHz band to a plurality of access points 9 will be described.
In the present embodiment, the support apparatus 1 performs optimization calculation to calculate the channel allocation in which the number of channels used by the plurality of access points 9 is maximized.
The optimization calculation unit 14 (see fig. 5) included in the support apparatus 1 is a so-called solver (solver) for performing optimization calculation. An example in which the optimization calculation unit 14 performs calculation by a linear programming method (linear programming) will be described below.
Fig. 7 is a diagram showing an example of a channel optimization support method of an embodiment implemented in the access point management system 100. The control unit 10 of the support apparatus 1 executes the processing shown in the figure in accordance with a program.
First, the control unit 10 acquires the position of each access point 9 from the position database (see fig. 6) (S11; as processing by the position acquisition unit 11).
Next, the control unit 10 calculates the distance between the access points 9 based on the positions of the access points 9 (S12; as the processing of the distance acquisition unit 12). Not limited to this, the control unit 10 may acquire the distance between the access points 9 registered in the database 2 in advance.
Next, the control section 10 generates an objective function (S13; as a process of the objective function generating section 13), and acquires a predetermined constraint condition (S14). The objective function and the constraints are as follows.
Let ch be a variable indicating whether channel j is used by the ith access point APiijLet ch be the case where the channel j is usedijLet 1 denote the case where channel j is not used as chij=0。
chij0 or 1
chijThe number of access points is multiplied by the number of channels (19 channels of 36ch to 140 ch). If the access point number is assumed to be 100, chijThe number of (c) is 1900, chijThe combination being 21900And (4) seed preparation.
Figure BDA0002777769290000051
I.e. chijA variable indicating whether each of the plurality of access points 9 uses each of the plurality of channels.
The objective function is expressed by ch as the following equation, with the goal of maximizing the number of channels used by the plurality of access points 9ijThe maximum value of the sum of (a) and (b).
Figure BDA0002777769290000052
As the restriction conditions, the following 6 restriction conditions were set.
Constraint (1): each access point 9 uses more than one channel.
Figure BDA0002777769290000053
Limitation (2): each access point 9 uses less than four channels.
This means that the channel width is at most 80 MHz.
Figure BDA0002777769290000054
Limitation (3): in the case where the access point 9 includes two wireless communication units 91 and 92 using the 5GHz band (that is, in the case of the access point 9B shown in fig. 3), one of the two wireless communication units 91 and 92 uses four or less channels belonging to the group of W52 and W53, and the other uses four or less channels belonging to the group of W56.
Figure BDA0002777769290000061
Figure BDA0002777769290000062
Limitation (4): each access point 9 does not use a plurality of channels belonging to different groups among the groups W52, W53, and W56 at the same time.
That is, each access point 9 does not use a channel belonging to the group of W52 and a channel belonging to the group of W53 at the same time, a channel belonging to the group of W52 and a channel belonging to the group of W56 at the same time, and a channel belonging to the group of W53 and a channel belonging to the group of W56 at the same time.
chi,36+chi,52≤1
chi,36+chi,56≤1
Limitation (5): each access point 9 does not use the second channel and the third channel, or the second channel and the fourth channel at the same time, without using the first channel among the first channel to the fourth channel having frequencies from small to large belonging to the group of W52, W53, or W56.
That is, in the group of W52, when 36ch is not used, 40ch and 44ch are not used simultaneously, and 40ch and 48ch are not used simultaneously. In the group of W53, when 52ch is not used, 56ch and 60ch are not used at the same time, and 56ch and 64ch are not used at the same time. In the group of W56, when 100ch is not used, 104ch and 108ch are not used simultaneously, and 104ch and 112ch are not used simultaneously.
chi,40+chi,44≤1+M(1-chi,36)
chi,40+chi,48≤1+M(1-chi,36)
Further, M is a number greater than 1.
Limitation (6): the same channel is not assigned to a group of access points 9 that are below the threshold distance.
I.e. at two access points APmAnd APnA distance d betweenAPm,APnIf the threshold value n is not more than the threshold value n, the access points are not AP-connectedm、APnThe same channel is allocated.
At n ≧ dAPm,APnTime of flight
chm,36+chn,36≤1
chm,40+chn,40≤1
chm,140+chn,140≤1
In addition, in the building B, since the ceiling and the floor are interposed between the access points 9 distant in the vertical direction (Z direction) and the radio wave is hard to propagate in the vertical direction, the distance between the access points 9 may be a distance in which the vertical component is corrected to be shorter than the actual component (i.e., shorter than the horizontal component). This can shorten the threshold apparently in the vertical direction.
Next, the control unit 10 performs optimization calculation of the objective function under the limiting conditions (1) to (6) to calculate a path allocation in which the number of paths used by the plurality of access points 9 is maximized (S15; as processing of the optimization calculation unit 14).
Next, the control unit 10 sets the channel to the plurality of access points 9 based on the calculated channel allocation (S16; as the processing of the channel setting unit 15). Each access point 9 changes its own channel setting so as to use the channel designated by the support apparatus 1.
Accordingly, when a plurality of access points 9 are densely arranged in a building B such as a school, it is easy to optimize a channel. That is, it is possible to avoid assigning the same channel to a group of close access points 9, and to maximize the number of channels used by a plurality of access points 9.
Next, the control unit 10 generates images indicating the positions and channels of the plurality of access points 9 (S17; as processing by the image generating unit 16). The generated image is output to the display unit 3.
As shown in fig. 8, the image shows the following three-dimensional space 3D, namely: a plurality of objects OB corresponding to each of the plurality of access points 9 are arranged at a height corresponding to the frequency of the assigned channel at a position corresponding to the actual position of the access point 9. Further, the image is preferably a viewpoint from which observation can be changed in accordance with an operation by the user.
The XY axis in the image represents the position of the access point 9. The location of the access point 9 is based on the "configured location" of the location database (see fig. 6). An axis orthogonal to the XY axis represents the frequency of the channel allocated to the access point 9. Images are generated for each layer separately.
The object OB is formed in a cylindrical shape and is distinguished by color for each access point 9. The position of the central axis of the cylindrical object OB corresponds to the position of the access point 9, and the height of the cylindrical object OB indicates the channel allocated to the access point 9 and the channel width.
The radius of the cylindrical object OB is a predetermined size based on the distance by which the access points 9 should be separated from each other. Alternatively, the radius of the cylindrical object OB may be changed according to the output of the access point 9.
Here, in the case where the objects OB overlap with each other, it means that the channels overlap, and in the case where the objects OB do not overlap with each other, it means that the channels do not overlap. Therefore, whether the channels overlap can be visually grasped.
As shown in fig. 9, the image may also display two-dimensional space 2D. The horizontal axis in the image represents the position of the access point 9 in the X direction, and the vertical axis represents the frequency of the channel assigned to the access point 9. That is, the image shown in the figure is an image when a three-dimensional space 3D (see fig. 8) is observed or projected in the Y direction.
And generating images for each layer respectively, and arranging and displaying the images. Therefore, the relationship of the channels in the vertical direction can also be visually grasped.
[ other embodiments ]
The optimization calculation unit 14 (see fig. 5) included in the support apparatus 1 may perform calculation by a nonlinear programming method. In this case, the objective function and the constraint are as follows.
AP the ith access pointiThe channel set used is set to vi. The channel set includes variables corresponding to the respective channels, and the variables are set to 1 when a channel is used and set to 0 when a channel is not used.
v1={1,0,0,0,…,0}
This indicates a case where only the 1 st channel (36ch) is used and the other channels are not used (corresponding to the channel set c1 described below).
Access point APiThe matrix C is a matrix of the channel set C1 to C32.
Figure BDA0002777769290000081
In the present embodiment, the restrictions (1) to (5) are realized in a matrix C.
The objective function is expressed as the following equation for the purpose of maximizing the number of channels used by the plurality of access points 9.
Figure BDA0002777769290000082
As the restriction conditions, the following two restriction conditions are set.
Constraint (a): v. ofiThe channel set c1 to c 32.
vi·1=1
Constraint (b): the same channel is not assigned to a group of access points 9 that are below the threshold distance.
The limitation (b) is the same as the limitation (6). I.e. at two access points APiAnd APjA distance d betweenijIf the threshold value n is not more than the threshold value n, the access points are not AP-connectediAnd APjThe same channel is allocated.
(n-dij)×(vi×C)·(vj×C)≥0
By performing optimization calculation of the objective function under the constraint (a) and the constraint (b), the channel allocation in which the number of channels used by the plurality of access points 9 is maximized is calculated.
While the embodiments of the present invention have been described above, the present invention is not limited to the embodiments described above, and various modifications may be made by those skilled in the art.
For example, the objective function generated in S13 may include a weight coefficient for each of the plurality of access points 9. That is, in the objective function, by giving a larger weight coefficient to the access point 9 having a higher priority, the number of channels can be maximized with higher priority given to the access point 9 having a higher priority.
The distance between the access points 9 calculated in S12 may be corrected according to the directivity of the access point 9. For example, when calculating the distance to the access point 9 having directivity in a predetermined direction, the threshold value can be apparently extended in the direction by correcting the direction component to be longer than the actual direction component.
Further, any one of the access points 9 constituting the access point group 90 may also serve as the support apparatus 1. At this time, the control unit 98 of the access point 9 operates in the same manner as the control unit 10 of the support apparatus 1.

Claims (18)

1. A channel optimization support apparatus, comprising:
an objective function generation unit that generates an objective function based on a variable indicating whether each of the plurality of access points uses each of the plurality of channels; and
and an optimization calculation unit that calculates a channel used by each of the plurality of access points by performing optimization calculation of the objective function under a predetermined constraint condition.
2. The channel optimization support apparatus according to claim 1,
the objective function represents the sum of the variables,
the optimization calculation unit performs an optimization calculation that maximizes the sum of the variables.
3. The channel optimization support apparatus according to claim 1, further comprising a distance acquisition section,
the distance acquisition section acquires distances between the plurality of access points,
the limiting conditions include the following conditions: groups of access points that are below a threshold distance are not assigned the same channel.
4. The channel optimization support apparatus according to claim 3,
the component of the distance in the vertical direction is corrected to a shorter distance than the actual one.
5. The channel optimization support apparatus according to any one of claims 1 to 4,
the limiting conditions include the following conditions: each access point uses more than one channel.
6. The channel optimization support apparatus according to any one of claims 1 to 4,
the limiting conditions include the following conditions: each access point uses a channel equal to or less than a predetermined natural number.
7. The channel optimization support apparatus according to any one of claims 1 to 4,
the limiting conditions include the following conditions: when the access point includes a plurality of wireless communication units, the plurality of wireless communication units use channels of a predetermined natural number or less belonging to different groups.
8. The channel optimization support apparatus according to any one of claims 1 to 4,
the limiting conditions include the following conditions: each access point does not simultaneously use a plurality of channels belonging to mutually different groups.
9. The channel optimization support apparatus according to any one of claims 1 to 4,
the limiting conditions include the following conditions: and under the condition that the access points do not use the first channel from the first channel to the fourth channel with the frequencies from small to large belonging to the group, the access points do not use the second channel and the third channel or the second channel and the fourth channel at the same time.
10. The channel optimization support apparatus according to any one of claims 1 to 4,
the optimization calculation is performed by a linear programming method.
11. The channel optimization support apparatus according to any one of claims 1 to 4,
the optimization calculation is performed by a non-linear programming method.
12. The channel optimization support apparatus according to any one of claims 1 to 4,
the objective function includes weight coefficients for each of the plurality of access points.
13. The channel optimization support apparatus according to claim 3 or 4,
the distance is corrected in accordance with the directivity of each of the plurality of access points.
14. The channel optimization support apparatus according to any one of claims 1 to 4, further comprising a position acquisition section,
the position acquisition unit acquires positions of the plurality of access points, an
The image generating unit generates an image that displays a space in which a plurality of objects corresponding to the plurality of access points are arranged at positions corresponding to the positions of the access points and has a height corresponding to the frequency of the channel.
15. The channel optimization support apparatus according to claim 14,
the plurality of objects are configured in the space in a size corresponding to an output of the access point.
16. An access point management system, comprising:
a plurality of access points;
an objective function generation unit that generates an objective function based on a variable indicating whether each of the plurality of access points uses each of the plurality of channels;
an optimization calculation unit that calculates a channel used by each of the plurality of access points by performing optimization calculation of the objective function under a predetermined constraint condition; and
and a channel setting unit configured to set channels to the plurality of access points based on the calculation result of the optimization calculation unit.
17. A channel optimization support method characterized by generating an objective function based on a variable indicating whether each of a plurality of access points uses each of a plurality of channels,
the channel used by each of the plurality of access points is calculated by performing an optimization calculation of the objective function under a predetermined constraint.
18. A recording medium having recorded thereon a program for causing a computer to function as an objective function generation unit and an optimization calculation unit as follows:
the objective function generation unit generates an objective function based on a variable indicating whether each of the plurality of access points uses each of the plurality of channels; and
the optimization calculation unit calculates a channel used by each of the plurality of access points by performing optimization calculation of the objective function under a predetermined constraint condition.
CN202011271369.8A 2019-11-20 2020-11-13 Channel optimization support device and method, access point management system, and recording medium Withdrawn CN112825582A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2019-209531 2019-11-20
JP2019209531A JP7369012B2 (en) 2019-11-20 2019-11-20 Channel optimization support device, channel optimization support method, access point management system, and program

Publications (1)

Publication Number Publication Date
CN112825582A true CN112825582A (en) 2021-05-21

Family

ID=75906540

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011271369.8A Withdrawn CN112825582A (en) 2019-11-20 2020-11-13 Channel optimization support device and method, access point management system, and recording medium

Country Status (3)

Country Link
JP (1) JP7369012B2 (en)
CN (1) CN112825582A (en)
TW (1) TWI805964B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024069799A1 (en) * 2022-09-28 2024-04-04 日本電気株式会社 Information processing device, information processing method, and program

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006109441A (en) * 2004-09-30 2006-04-20 Lucent Technol Inc Computing optimal channel allocation using decomposition method and related device
CN101022572A (en) * 2007-03-15 2007-08-22 上海交通大学 Distributed adaptive dynamic channel dispatching method
JP2010537577A (en) * 2007-08-20 2010-12-02 リアデン リミテッド ライアビリティ カンパニー System and method for distributed input distributed output wireless communication
CN104363604A (en) * 2014-10-31 2015-02-18 重庆邮电大学 Indoor WLAN access point arranging method based on fast water-filling algorithm
CN105898807A (en) * 2016-06-08 2016-08-24 北京邮电大学 Access point selection and resource distribution combined self-healing method in ultra-dense network
CN106559891A (en) * 2015-09-28 2017-04-05 中国移动通信集团公司 Method for channel allocation and device, access point
US20180368146A1 (en) * 2017-06-14 2018-12-20 Thomson Licensing Method for allocating frequency channels to a plurality of neighboring access points
CN109743736A (en) * 2019-03-22 2019-05-10 东莞理工学院 A kind of super-intensive network user access of customer-centric and resource allocation methods

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2516711A1 (en) * 2003-02-24 2004-09-10 Autocell Laboratories, Inc. System, method and apparatus for ascertaining a dynamic attribute of a system
US20060067267A1 (en) 2004-09-30 2006-03-30 Golestani S J Methods and devices for approximating optimal channel allocations
EP2112372A1 (en) * 2008-04-21 2009-10-28 Lm Glasfiber A/S Wind turbine with blades supported on the leeward site
US9408019B2 (en) * 2014-07-29 2016-08-02 Aruba Networks, Inc. Accessing serial console port of a wireless access point
EP3430831B1 (en) * 2016-03-18 2021-02-24 Plume Design, Inc. Data gathering to enable the optimization of distributed wi-fi networks
US11234282B2 (en) * 2018-01-10 2022-01-25 Qualcomm Incorporated Mechanisms to support secondary channel operation

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006109441A (en) * 2004-09-30 2006-04-20 Lucent Technol Inc Computing optimal channel allocation using decomposition method and related device
CN101022572A (en) * 2007-03-15 2007-08-22 上海交通大学 Distributed adaptive dynamic channel dispatching method
JP2010537577A (en) * 2007-08-20 2010-12-02 リアデン リミテッド ライアビリティ カンパニー System and method for distributed input distributed output wireless communication
CN104363604A (en) * 2014-10-31 2015-02-18 重庆邮电大学 Indoor WLAN access point arranging method based on fast water-filling algorithm
CN106559891A (en) * 2015-09-28 2017-04-05 中国移动通信集团公司 Method for channel allocation and device, access point
CN105898807A (en) * 2016-06-08 2016-08-24 北京邮电大学 Access point selection and resource distribution combined self-healing method in ultra-dense network
US20180368146A1 (en) * 2017-06-14 2018-12-20 Thomson Licensing Method for allocating frequency channels to a plurality of neighboring access points
CN109743736A (en) * 2019-03-22 2019-05-10 东莞理工学院 A kind of super-intensive network user access of customer-centric and resource allocation methods

Also Published As

Publication number Publication date
JP7369012B2 (en) 2023-10-25
JP2021082963A (en) 2021-05-27
TW202121222A (en) 2021-06-01
TWI805964B (en) 2023-06-21

Similar Documents

Publication Publication Date Title
EP3989109A1 (en) Image identification method and device, identification model training method and device, and storage medium
CN106056529B (en) Method and equipment for training convolutional neural network for picture recognition
CN102300051B (en) Camera layout determination support device
Rodrigues et al. An approach to the multi-level space allocation problem in architecture using a hybrid evolutionary technique
CN101447091B (en) Method and apparatus for processing graphics
Damgacioglu et al. A genetic algorithm for the uncapacitated single allocation planar hub location problem
CN107633521A (en) A kind of vertebra identification and naming system, method and device
CN105938557A (en) Image recognition method and image recognition device
Eguia et al. Cell formation and scheduling of part families for reconfigurable cellular manufacturing systems using Tabu search
CN112884319B (en) Task allocation method and device, computer equipment and storage medium
CN109272050A (en) Image processing method and device
CN112825582A (en) Channel optimization support device and method, access point management system, and recording medium
CN113762594A (en) Path planning method and device for vehicle-mounted machine to cooperatively deliver post-disaster rescue goods and materials
CN106599291B (en) Data grouping method and device
CN107909111B (en) Multi-level graph clustering partitioning method for residential area polygons
Pinto et al. Factor optimization for the design of indoor positioning systems using a probability-based algorithm
CN106529679A (en) Machine learning method and system
CN116680588A (en) Terminal area division setting method, device, equipment and medium based on improved Agent
CN115659767A (en) Magnetic resonance radio frequency coil design method, device, equipment and readable storage medium
CN112491999B (en) Data reporting method and device
CN114943407A (en) Area planning method, device, equipment, readable storage medium and program product
CN114925941A (en) Crowd sensing task allocation method, device, equipment and storage medium
Salhi et al. A quadtree-based allocation method for a class of large discrete Euclidean location problems
Abdelmohsen et al. A heuristic approach for the automated generation of furniture layout schemes in residential spaces
CN108629815A (en) image generating method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication

Application publication date: 20210521

WW01 Invention patent application withdrawn after publication