In 802.11 infrastructure basic service set (BSS) networks, connections are initiated from the client side. Many clients may seek to associate with many APs in a network. In some cases only a few APs receive most of the clients. The few APs may be come heavily loaded while many other APs remain under utilized. The underutilization may be spread over multiple APs associated with a single access area, or may be distributed over many access areas. Clients may experience poor service from an overloaded AP while some APs remain relatively underutilized.
The foregoing examples of the related art and limitations related therewith are intended to be illustrative and not exclusive. Other limitations of the related art will become apparent to those of skill in the art upon a reading of the specification and a study of the drawings.
The following examples and aspects thereof are described and illustrated in conjunction with systems, tools, and methods that are meant to be exemplary and illustrative, not limiting in scope. In some of the examples one or more of the above-described problems has been reduced or eliminated, while other examples are directed to other improvements.
A technique for associating clients with APs in an advantageous manner may involve local balancing of clients across APs. This may involve providing instructions to APs to disable client association procedures. Alternatively, this technique may involve load balancing across controllers. The technique may calculate overlaps between APs and may determine target loads for the APs. Using target loads, APs may be instructed to steer clients to other APs when target loads are met or exceeded. Communication between multiple controllers may facilitate balanced loads across a network.
A system based on the technique may include a target load calculator. Target loads may be adjusted dynamically. The system may dynamically rebalance client loads on APs, thereby improving overall performance of the system.
A method based on the technique may disable association capabilities of an AP to allow clients to associate with other APs thereby distributing the load of clients. The method may be used in collaboration with various algorithms and create useful applications. A load balancing algorithm may balance wireless traffic based on certain criteria among a group of APs. In a non-limiting example, clients may be steered in multiple bands to a preferred band in a multi-band wireless network.
Consider, for the purposes of example only, a network having two APs, each under the control of separate controllers. There are two clients seeking to associate with one AP. The two APs overlap sufficiently for either one of the APs to handle both clients. A target load of one client per AP is established for each AP. A first client associates with a first AP. The first AP is instructed to stop associating new clients. The remaining one client then associates with the second AP. Advantageously, the client load of each AP is balanced, and each AP has an approximately evenly distributed client load.
In the following description, several specific details are presented to provide a thorough understanding. One skilled in the relevant art will recognize, however, that the concepts and techniques disclosed herein can be practiced without one or more of the specific details, or in combination with other components, etc. In other instances, well-known implementations or operations are not shown or described in detail to avoid obscuring aspects of various examples disclosed herein.
In 802.11 infrastructure BSS networks, connections are initiated from the client side. If there are multiple access points (APs) within range of a client, the client selects one for association. Although the criteria for selecting an AP are embedded in the client and are implementation-specific, nevertheless clients frequently apply similar strategies, such as strongest signal strength, and consequently make similar selections. There is therefore a tendency for some APs to attract more (or even all) clients than the others in a service area, thwarting an administrator's attempts to improve service by providing multiple APs to offer more bandwidth.
Load balancing and client steering may be implemented to redistribute clients to multiple APs. Load balancing suggests a method to balance the wireless traffic among APs to meet certain criteria. Client steering suggests an approach to induce the client to connect with another AP. Herein, both methods are referred to as “load balancing” and client steering is referred to explicitly when a distinction is considered helpful for improved understanding of the techniques described.
A technique for client steering involves overseeing a network to determine which AP allows admittance and which AP disallows admittance based on certain criteria. A system according to this technique may include multiple controllers and APs in an Electronic Switching System (ESS) network. The controllers oversee the ESS network and determine which AP allows admittance and which AP disallows admittance based on certain criteria. In a non-limiting embodiment, for APs disallowing admittance, a controller may activate an AP's steering function and adjust a safety valve, if needed, by sending message commands through the network. For APs allowing admittance, controllers will deactivate their steering functions in a similar manner.
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The optional neighborhood support 414 may be a part of a device such as a Trapeze Mobility Point AP which allows one transmitter to exhibit multiple MAC addresses on the air. MAC addresses may assigned within defined ranges so that the (possibly several) MAC addresses belonging to one transmitter may be correctly ascribed to one transmitter by the controller that receives the report.
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A client may be deemed able to be served by a radio if that radio's signal strength at the client's location exceeds a predetermined threshold. In a non-limiting example, the threshold may be set to −65 dB.
For target loads to optimally account for all client load in the system, overlap calculations between any two radios may necessarily be symmetric. The inward overlap of a neighbor's coverage area into the central radio's coverage area may have the same value as the central radio's outward overlap calculated at the neighbor radio.
Two radios may be attached to different network controllers, so an important issue is that inward and outward overlaps be calculated consistently from the two perspectives, with minimal requirement to pass data between the controllers. The overlap calculator accomplishes the calculation using only two measurements, namely, the received signal strength (RSSI) of each radio as received at the other radio.
The following notation may be used to calculate the overlap:
sj@k denotes the signal measurement of radio j as heard at radio k
sref is the reference signal strength defining the outer limit of a radio's coverage area
L is the path loss exponent (typically assumed to be about 3 inside an office building)
rj denotes the radius of radio j's coverage area
djk is the distance between radios j and k
The path loss exponent and the reference signal strength may be predetermined and the same for all radios. The overlap calculation for two radios j and k may then require measurement only of the two values sj@k and sk@j. First, the overlap calculator forms two intermediate terms representing the estimated radii of each coverage area in units of the inter-radio distance:
The overlap calculator then detects the limiting conditions where there is either no overlap, or complete overlap (i.e. one coverage area completely contained within the other):
The above equations for overlap define two limits of a range. If we choose k as the index for the lower signal strength value then the absolute value signs can be removed and the above limits re-written as limits on one of the two measured values in terms of the other:
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the overlap calculation engine 610 interpolates smoothly. The operation of the invention may not be extremely sensitive to the precise interpolation function chosen. A function may be derived by trigonometry assuming that the coverage areas are circular. The interpolation may also be linear.
The overlap value may be interpreted as a fraction or proportion, expressing the area of overlapping coverage in terms of the smaller of the two individual coverage areas. The fraction may provide the outward overlap of the smaller area into the larger or equivalently, the inward overlap of the larger area into the smaller.
The overlap calculator may compute converse overlaps. A converse overlap may be an overlap in terms of a larger coverage area. The converse overlap may be found by multiplying the above-derived overlap value by the ratio of the two coverage areas, which is the square of the ratio of their radii, namely
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In generating target loads, radios generally do not cover identical ranges, and thus cannot be assumed able to serve the same clients. Even assuming each radio's coverage area to be approximately circular, in a realistic installation both the center locations and the radii of those areas will differ; therefore, the overlaps between radio coverage areas may generally be partial rather than total.
To provide the ability to balance client load in such an environment, the target load calculation for a given radio weights the factors as follows. The radio is regarded as being in the center of an approximately circular neighborhood, around which are neighboring AP radios each having some degree of overlap with the central radio's coverage area. Inward overlap may designate an estimated fraction of the neighbor's load that can also be covered by the central radio, and outward overlap may designate an estimated fraction of the central radio's client load that is also in the neighbor radio's coverage area. In the numerator of the target load value (of the central radio), each neighbor radio's client load is weighted by its inward overlap. For the denominator of the target load value, each neighbor radio may count as 1 times the outward overlap.
For the central radio, both the inward and outward overlaps may be defined as 1.0. For the central radio, a numerator of the target load accumulates the client load of the radio. The denominator accumulates a count of 1.0, i.e. the central radio counts as one radio. The target loads on the several radios may converge to values that together account for the entire client load in the system.
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The admittance determining engine may also produce values intermediate between 0 and 1, which instruct the admittance gate to admit some (but not all) potential new clients. Admittance may be accomplished by applying multiple thresholds to the difference between current load and target load, and outputting an appropriate value depending on which of the thresholds are exceeded.
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The admittance gate 618 may respond to commands from admittance determining engine 616. The commands may include a binary admittance value that instructs the radio whether to admit or inhibit new clients.
The admittance gate 618 may also have a rule table for conditioning a response based on characteristics of the client. The rule table may include a rule for responding to a client that is already associated to the radio. In a non-limiting example, the AP is subject to a rule that requires that the AP always respond to an already-associated client. The rule table may have an associated function that evaluates a hardware address of a client and causes the client to associate with an AP because the function falls within a range of values. Using the function the AP may quickly determine whether a hardware address is within a range to which the AP should respond.
The rule table may also have other rules. In a non-limiting example a signal strength rule instructs the AP to respond to clients whose requests exceed a programmed signal strength value, thereby creating a preference for clients that are physically near the AP.
An exemplary rule computes a hash value from a MAC address and associates a client with a first AP if the hash value is odd or a second AP if the hash value is even. In applying such a rule, consider two APs that have overlapping coverage areas. One can be instructed to respond to clients when the output of a MAC hash function is even, and the other instructed to respond when the output of the same MAC hash function is odd.
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If the result from determination module 704 is yes then the flowchart proceeds to module 714 with process and send response. Having processed and sent the response, the flowchart terminates.
If the result of the determination module 704 is negative, the flowchart proceeds to determination module 706 with testing whether the steering function is enabled. Enabling the steering function may allow execution of module 708, module 710 and module 712. With the steering function enabled, responses to the client's probe and authentication requests may be inhibited as in module 712 for a duration that depends on a configurable safety valve discussed in reference to module 710. Optionally, enabling the steering function may inhibit the beaconing of SSID information when an AP is not admitting clients, additionally any desirable effect of enabling a steering function known or convenient may be implemented.
If the result of determination module 706 is yes then the flowchart proceeds to module 708 and 710, which together manage a safety valve. A timer may be used to implement the safety valve to limit the duration of the steering function for any particular client. Alternatively, a counter or other means may be used to implement the safety valve. Various clients manufactured by different vendors have their differing probing, authentication and association patterns, whereby counting the client-generated events may be an unreliable means of assessing the client's situation Thus, any manner of implementing a safety valve known or convenient may be used. The safety valve may be dynamically adjusted, either by the controllers or by the AP itself based on certain criteria to meet application requirements.
If the result of determination module 706 is no then the flowchart proceeds to module 714 with process and send response. Having processed and sent the response, the flowchart terminates.
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If the result of the determination module 710 is yes then the flowchart proceeds to module 714 with process and send response. Having processed and sent the response, the flowchart terminates.
If the result of the determination module 710 is no then the flowchart proceeds to module 712 with providing no response. Having provided no response, the flowchart terminates
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It may be possible that APs allowing admittance receive a burst of requests for probe, authentication and association from clients, and responses to clients have been already sent before the controller commands a change of admittance state. To meet the application requirements, either the associated clients may be later steered, or the admittance policy may be evaluated before granting the association request. If the policy shows that the AP has reached the watermark to shut down the admittance, the AP may decline association requests from clients and the controller should activate the AP's steering function.
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The device 1002 interfaces to external systems through the communications interface 1010, which may include a modem or network interface. It will be appreciated that the communications interface 1010 can be considered to be part of the system 1000 or a part of the device 1002. The communications interface 1010 can be an analog modem, ISDN modem, cable modem, token ring interface, ethernet interface, wireless 802.11 interface, satellite transmission interface (e.g. “direct PC”), or other interfaces for coupling a computer system to other computer systems.
The processor 1008 may be, for example, a conventional microprocessor such as an Intel Pentium microprocessor or Motorola power PC microprocessor. The memory 1012 is coupled to the processor 1008 by a bus 1020. The memory 1012 can be Dynamic Random Access Memory (DRAM) and can also include Static RAM (SRAM). The bus 1020 couples the processor 1008 to the memory 1012, also to the non-volatile storage 1016, to the display controller 1014, and to the I/O controller 1018.
The I/O devices 1004 can include a keyboard, disk drives, printers, a scanner, and other input and output devices, including a mouse or other pointing device. The display controller 1014 may control in the conventional manner a display on the display device 1006, which can be, for example, a cathode ray tube (CRT) or liquid crystal display (LCD). The display controller 1014 and the I/O controller 1018 can be implemented with conventional well known technology.
The non-volatile storage 1016 is often a magnetic hard disk, an optical disk, or another form of storage for large amounts of data. Some of this data is often written, by a direct memory access process, into memory 1012 during execution of software in the device 1002. One of skill in the art will immediately recognize that the terms “machine-readable medium” or “computer-readable medium” includes any type of storage device that is accessible by the processor 1008 and also encompasses a carrier wave that encodes a data signal.
Clock 1020 can be any kind of oscillating circuit creating an electrical signal with a precise frequency. In a non-limiting example, clock 1020 could be a crystal oscillator using the mechanical resonance of vibrating crystal to generate the electrical signal.
Radio 1024 may be any combination of known or convenient electrical components including by way of example, but not limitation, transistors, capacitors, resistors, multiplexers, wiring, registers, diodes or any other electrical components known or convenient.
The system 1000 is one example of many possible computer systems which have different architectures. For example, personal computers based on an Intel microprocessor often have multiple buses, one of which can be an I/O bus for the peripherals and one that directly connects the processor 1008 and the memory 1012 (often referred to as a memory bus). The buses are connected together through bridge components that perform any necessary translation due to differing bus protocols.
Network computers are another type of computer system that can be used in conjunction with the teachings provided herein. Network computers do not usually include a hard disk or other mass storage, and the executable programs are loaded from a network connection into the memory 1012 for execution by the processor 1008. A Web TV system, which is known in the art, is also considered to be a computer system, but it may lack some of the features shown in
In addition, the system 1000 is controlled by operating system software which includes a file management system, such as a disk operating system, which is part of the operating system software. One example of operating system software with its associated file management system software is the family of operating systems known as Windows® from Microsoft Corporation of Redmond, Wash., and their associated file management systems. Another example of operating system software with its associated file management system software is the Linux operating system and its associated file management system. The file management system is typically stored in the non-volatile storage 1016 and causes the processor 1008 to execute the various acts required by the operating system to input and output data and to store data in memory, including storing files on the non-volatile storage 1016.
Some portions of the detailed description are presented in terms of algorithms and symbolic representations of operations on data bits within a computer memory. These algorithmic descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is here, and generally, conceived to be a self-consistent sequence of operations leading to a desired result. The operations are those requiring physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like.
It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the following discussion, it is appreciated that throughout the description, discussions utilizing terms such as “processing” or “computing” or “calculating” or “determining” or “displaying” or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.
The present invention, in some embodiments, also relates to apparatus for performing the operations herein. This apparatus may be specially constructed for the required purposes, or it may comprise a general purpose computer selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a computer readable storage medium, such as, but is not limited to, read-only memories (ROMs), random access memories (RAMs), EPROMs, EEPROMs, magnetic or optical cards, any type of disk including floppy disks, optical disks, CD-ROMs, and magnetic-optical disks, or any type of media suitable for storing electronic instructions, and each coupled to a computer system bus.
The algorithms and displays presented herein are not inherently related to any particular computer or other apparatus. Various general purpose systems may be used with programs in accordance with the teachings herein, or it may prove convenient to construct more specialized apparatus to perform the required method steps. The required structure for a variety of these systems will appear from the description below. In addition, the present invention is not described with reference to any particular programming language, and various embodiments may thus be implemented using a variety of programming languages.
The present application is a divisional of U.S. patent application Ser. No. 11/975,134, filed Oct. 16, 2007, which claims priority to U.S. Provisional Patent Application No. 60/852,179, filed on Oct. 16, 2006, the disclosures of both of which are incorporated herein by reference.
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Number | Date | Country | |
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Number | Date | Country | |
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Number | Date | Country | |
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Parent | 11975134 | Oct 2007 | US |
Child | 13289479 | US |