Wireless Local Area Networks (WLAN) are very easy to set up and use, and have accordingly become very popular. WLANs connect computer networks via radio transmissions instead of traditional phone lines or cables. Benefits of these systems go well beyond getting rid of all the cables and wires. Campus networks can grow geographically larger while still retaining all their efficiency and speed. Additionally, cost savings can be realized when third-party circuit switched phone service are no longer needed, saving the cost of line rental and equipment upkeep. Finally, flexibility in campus network design increases significantly for the networking professional, while the network accessibility and usefulness increases for the individual users.
Wireless networks generally include multiple access points for wireless connectivity to multiple mobile stations. Such connectivity allows a mobile station to communicate with any number of types of devices within a network, for instance, a mainframe, a server, a networked printer, another mobile station, and the like. Mobile stations determine which network to join by scanning for available access points (AP). However, the scanning for available access points can cause a heavy load on the wireless medium.
In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. Like numerals having different letter suffixes may represent different instances of similar components. The drawings illustrate generally, by way of example, but not by way of limitation, various embodiments discussed in the present document.
A broadcast domain is a network that connects devices that are capable of sending and receiving broadcast frames to and from one another. This domain is also referred to as a Layer 2 network. APs (Access Points) that are in the same broadcast domain and configured with the same service set identifier (SSID) are said to be in the same roaming domain. When in a roaming domain, a roaming user can maintain application connectivity within the roaming domain as long as its Layer 3 network address is maintained. However, when the user begins to roam across domains, more processes than just finding a new AP to communicate with are needed. The client has to perform a Layer 2 roam, including AP discovery, before beginning a Layer 3 roam.
Applications that are continuously running on mobile devices benefit from the high data rates of the IEEE 802.11 interface. Further, mobile users are constantly entering and leaving the coverage area of an existing extended service set (ESS). A mobile device performs a discovery process each time link setup is initiated, regardless of whether the mobile device is requesting an initial link setup of the mobile device. This calls for efficient mechanisms that scale with a high number of users simultaneously entering an ESS.
According to the IEEE 802.11 WLAN standard, active scanning is a procedure used by a STA (Station) to discover an AP by transmitting a probe request and decoding the shared wireless medium (WM) in an attempt to decode a response. Excessive air-time occupancy has been seen as a major drawback for using active scanning in a high-density Wi-Fi device environment. Thus, in a highly loaded WM, the active scanning procedure has the possibility to heavily load the WM due to both single and multiple probe requests. A single probe request may cause multiple probe responses from one or more APs. Each multiple probe request originating from a different STA calls for its own separate probe response without a method to unify the probe responses in a controlled, non-probabilistic manner. Moreover, active scanning occupies much air-time proportionally to the number of STAs multiplied by the number of the replying APs. Passive scanning doesn't cause air-time occupancy. However, passive scanning takes longer to discover a desired AP, resulting in a longer delay and higher power consumption, as the STAs have to wait for a cyclically transmitted message (e.g., a beacon, short beacon or the like).
An access process involves three steps: access point and network discovery, authentication and association. In the IEEE 802.11 standard, a wireless station (STA) 170 becomes aware of the existence of a Basic Service Set (BSS) through channel scanning. Channel scanning schemes contain two groups of methods: 1) STA passively seeking (i.e., receiving only in attempt to correctly decode) beacon transmissions from an access point (AP), and 2) STA actively probing (i.e., transmitting and attempting to decode response within a defined time) for the existence of an AP through a probe request/response exchange.
APs 140, 142 periodically broadcast beacon frames through available channels. Beacon frames may include the information associated with an AP 140, 142, such as maximum transmit power, and the channels to be used for the regulatory domain. Stations 170, which may be referred to as a client device, scan surrounding wireless networks to locate a compatible network. Active scanning or passive scanning may be used. Active scanning occurs when an STA 170 transmits a probe request and waits for a probe response from an AP (Access Point) which was able to decode and comply with the information enclosed in the probe request. In contrast, passive scanning occurs when an STA 170 attempts decoding of the shared WM (Wireless Medium) in an attempt to decode a broadcast message, e.g., a beacon, a measurement pilot or a probe response. As a result, while active scanning is optimized for power, passive scanning provides lower WM occupancy. Passive scanning network (NW) discovery can be achieved by decoding probe response and measurement pilot messages.
However, active scanning occupies much air-time proportionally to the number of STAs. Real conditions are much more severe because the responding AP is not the only AP sending and receiving data using the WM. Passive scanning doesn't cause air-time occupancy, but takes a longer time to discover a desired AP.
The scanning STA 610 accesses a medium and transmits a probe request frame 620. Upon listening to the probe request frame 620 of the scanning STA 610, a responder 1630 transmits a probe response frame 632 to the scanning STA 610 and a responder 2640 transmits a probe response frame 642 to the scanning STA 610. Here, responder 1630 and responder 2640 may be an AP. The probe response frame 632 of the responder 1630 is transmitted based on the DCF rule of IEEE 802.11 standard. Accordingly, the probe response frame 632 is transmitted through the process of contention window 614.
Min_Probe_Response_Time 660 is a minimum response time. If a correct frame (e.g., other response) has been received before the minimum response time lapses, responses are awaited until Max_Probe_Response_Time 670 expires. If not, a scanning STA 610 may change channels when a short probe response is not received during the set response time. When a scanning STA 610 receives a probe response, the scanning STA 610 may act on a reference provided therein. In
The wireless stations and wireless access points according to embodiments described herein are configured to support wireless discovery using a reduced traffic load process. The reduced traffic load process includes providing aggregated short probe responses.
Thus, the probe request 710 is responded to by transmitting short probe responses 722, 732 by AP1720 and AP2730, respectively, to indicate the link coverage and correct reception of the probe request 710. The short probe responses 722, 732 may be an ACK like message, a beacon, a short beacon or a measurement pilot, or a FILS Discovery Frame (FD) to reduce the associated WM usage. In addition, the short probe responses 722, 732 include the scheduling information of a message providing the complete information of AP1720 and AP2730, respectively, i.e., scheduling information of beacons 740, 750, respectively and their associated scheduling cycle with a certain accuracy. Beacons 740, 750 providing the complete information may be full beacons, mini beacons, measurement pilots or FD frame. The short probe responses 722, 732 may additionally include the scheduling of repeated full information message transmission thereby increasing the decoding resiliency of complete information and enabling smart scheduling of multiple channel message decoding using future instances of the full message transmission rather than the nearest.
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The STA draws dice at operation 830 with the results being based on the probability function parameters and selects the scanning type indicated. The result of the draw dictates whether the STA attempts NW discovery using an active scanning procedure or a passive scanning procedure. The probability characteristics may be fixed or variable. Further, the probability of selecting active or passive scanning may be dependent on events. Such events may be based on frames received by the STA over the WM in a given time interval. The probability function may also include a bias increasing the probability of passive or active scanning procedure selection.
The STA performs scanning according to the indicated scanning type at operation 840. At operation 850, a determination is made as to whether the scanning is complete. If the scanning is complete (operation 852), i.e., an adequate AP for association is found, the STA performs an association procedure at operation 860. The process is then terminated operation 870. Otherwise (operation 854), the STA updates the probability function parameters at operation 880, i.e., updates the scanning parameters, and then returns (operation 882) to operation 830 to draw dice again, and according to the scanning type, performs the scanning attempt again, e.g., minimal duration between successive active scanning attempts.
The update of the scanning parameters may be used to level the active and passive scanning and to identify and subside the WM occupancy effect of active scanning in some situations where the WM is loaded. The updates may be dependent on one or more events in any combination. Such events may include the duration from loss of the recent association; the level of WM occupancy or traffic measured over the shared channel by an AP or STA; the number of AP identified in the last scanning procedure either via beacons, probe response, measurement pilots, and/or mini beacons; the number of probe requests identified in given time interval; and an indication by a received frame in the frame header for a specific type of scanning allowed or disallowed. The probability function may also be defined such that it leans towards passive or active scanning, i.e., be modified to include a bias. The probability function may also come into action, i.e., be used or overridden, in some situations depending on the events identified over the WM. e.g., no AP being identified for a predetermined duration.
The machine 1000 may further be a personal computer (PC), a tablet PC, a set-top box (STB), a Personal Digital Assistant (PDA), a mobile telephone, a web appliance, a network router, switch or bridge, or any machine capable of executing instructions (sequential or otherwise) that specify actions to be taken by that machine.
Further, while only a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein, such as cloud computing, software as a service (SaaS), other computer cluster configurations. Examples as described herein may include, or may operate on, logic or a number of components, modules, or mechanisms. Modules are tangible entities (e.g., hardware) capable of performing specified operations and may be configured or arranged in a certain manner. In an example, circuits may be arranged (e.g., internally or with respect to external entities such as other circuits) in a specified manner as a module. In an example, the whole or part of one or more computer systems (e.g., a standalone, client or server computer system) or one or more hardware processors may be configured by firmware or software (e.g., instructions, an application portion, or an application) as a module that operates to perform specified operations. In an example, the software may reside on a machine-readable medium. In an example, the software, when executed by the underlying hardware of the module, causes the hardware to perform the specified operations.
Accordingly, the term “module” is understood to encompass a tangible entity, be that an entity that is physically constructed, specifically configured (e.g., hardwired), or temporarily (e.g., transitorily) configured (e.g., programmed) to operate in a specified manner or to perform part or all of any operation described herein. Considering examples in which modules are temporarily configured, each of the modules need not be instantiated at any one moment in time. For example, where the modules comprise a general-purpose hardware processor configured using software, the general-purpose hardware processor may be configured as respective different modules at different times. Software may accordingly configure a hardware processor, for example, to constitute a particular module at one instance of time and to constitute a different module at a different instance of time.
Machine (e.g., computer system) 1000 may include a hardware processor 1002 (e.g., a central processing unit (CPU), a graphics processing unit (GPU), a hardware processor core, or any combination thereof), a main memory 1004 and a static memory 1006, some or all of which may communicate with each other via an interlink (e.g., bus) 1008. The machine 1000 may further include a display unit 1010, an alphanumeric input device 1012 (e.g., a keyboard), and a user interface (UI) navigation device 1014 (e.g., a mouse). In an example, the display unit 1010, input device 1012 and UI navigation device 1014 may be a touch screen display. The machine 1000 may additionally include a storage device (e.g., drive unit) 1016, a signal generation device 1018 (e.g., a speaker), a network interface device 1020, and one or more sensors 1021, such as a global positioning system (GPS) sensor, compass, accelerometer, or other sensor. The machine 1000 may include an output controller 1028, such as a serial (e.g., universal serial bus (USB), parallel, or other wired or wireless (e.g., infrared (IR)) connection to communicate or control one or more peripheral devices (e.g., a printer, card reader, etc.).
The storage device 1016 may include a machine-readable medium 1022 on which is stored one or more sets of data structures or instructions 1024 (e.g., software) embodying or utilized by any one or more of the techniques or functions described herein. The instructions 1024 may also reside, completely or at least partially, within the main memory 1004, within static memory 1006, or within the hardware processor 1002 during execution thereof by the machine 1000. In an example, one or any combination of the hardware processor 1002, the main memory 1004, the static memory 1006, or the storage device 1016 may constitute machine-readable media.
While the machine-readable medium 1022 is illustrated as a single medium, the term “machine readable medium” may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that are configured to store the one or more instructions 1024.
The term “machine readable medium” may include any medium that is capable of storing, encoding, or carrying instructions for execution by the machine 1000 and that cause the machine 1000 to perform any one or more of the techniques of the present disclosure, or that is capable of storing, encoding or carrying data structures used by or associated with such instructions. Non-limiting machine-readable medium examples may include solid-state memories, and optical and magnetic media. In an example, a massed machine-readable medium comprises a machine-readable medium with a plurality of particles having resting mass. Specific examples of massed machine-readable media may include: non-volatile memory, such as semiconductor memory devices (e.g., Electrically Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM)) and flash memory devices; magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.
The instructions 1024 may further be configured for transmission and reception over a communications network 1026 using a transmission medium via the network interface device 1020 utilizing any one of a number of transfer protocols (e.g., frame relay, internet protocol (IP), transmission control protocol (TCP), user datagram protocol (UDP), hypertext transfer protocol (HTTP), etc.). Example communication networks may include a local area network (LAN), a wide area network (WAN), a packet data network (e.g. the Internet), mobile telephone networks (e.g., channel access methods including Code Division Multiple Access (CDMA), Time-division multiple access (TDMA), Frequency-division multiple access (FDMA), and Orthogonal Frequency Division Multiple Access (OFDMA); and cellular networks such as Global System for Mobile Communications (GSM), Universal Mobile Telecommunications System (UMTS), CDMA 2000 1x* standards and Long Term Evolution (LTE)); Plain Old Telephone (POTS) networks; and wireless data networks (e.g., Institute of Electrical and Electronics Engineers (IEEE) 802 family of standards including IEEE 802.11 standards (Wi-Fi®), IEEE 802.16 standards (WiMax®) and others) and peer-to-peer (P2P) networks; or other protocols now known or later developed.
For example, the network interface device 1020 may include one or more physical jacks (e.g., Ethernet, coaxial, or phone jacks) or one or more antennas to connect to the communications network 1026. In an example, the network interface device 1020 may include a plurality of antennas to wirelessly communicate using at least one of single-input multiple-output (SIMO), multiple-input multiple-output (MIMO), or multiple-input single-output (MISO) techniques. The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by the machine 1000, and includes digital or analog communications signals or other intangible medium to facilitate communication of such software.
The above detailed description includes references to the accompanying drawings, which form a part of the detailed description. The drawings show, by way of illustration, specific embodiments in which the inventive subject matter can be practiced. These embodiments are also referred to herein as “examples.” Such examples can include elements in addition to those shown or described. However, the present inventors also contemplate examples in which only those elements shown or described are provided. Moreover, the present inventors also contemplate examples using any combination or permutation of those elements shown or described (or one or more aspects thereof), either with respect to a particular example (or one or more aspects thereof), or with respect to other examples (or one or more aspects thereof) shown or described herein.
In this document, the terms “a” or “an” are used, as is common in patent documents, to include one or more than one, independent of any other instances or usages of “at least one” or “one or more.” In this document, the term “or” is used to refer to a nonexclusive or, such that “A or B” includes “A but not B,” “B but not A,” and “A and B,” unless otherwise indicated. In the appended claims, the terms “including” and “in which” are used as the plain-English equivalents of the respective terms “comprising” and “wherein.” Also, in the following claims, the terms “including” and “comprising” are open-ended, that is, a system, device, article, or process that includes elements in addition to those listed after such a term in a claim are still deemed to fall within the scope of that claim. Moreover, in the following claims, the terms “first,” “second.” and “third,” etc. are used merely as labels, and are not intended to impose numerical requirements on their objects.
The above description is intended to be illustrative, and not restrictive. For example, the above-described examples (or one or more aspects thereof) may be used in combination with each other. Other embodiments can be used, such as by one of ordinary skill in the art upon reviewing the above description. The Abstract is to allow the reader to quickly ascertain the nature of the technical disclosure, for example, to comply with 37 C.F.R. §1.72(b). It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. Also, in the above Detailed Description, various features may be grouped together to streamline the disclosure. This should not be interpreted as intending that an unclaimed disclosed feature is essential to any claim. Rather, inventive subject matter may lie in less than all features of a particular disclosed embodiment. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separate embodiment. The scope of the present inventive subject matter should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.
This application claims the benefit of priority under 35 U.S.C. 119(e) to U.S. Provisional Patent Application Ser. No. 61/641,371, filed on May 2, 2012, which is incorporated herein by reference in its entirety.
Number | Date | Country | |
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61641371 | May 2012 | US |