Patent Application
20230276277
The present disclosure relates generally to the field of wireless networks based on IEEE 802.11 standards. More particularly, the present disclosure relates to a technique that allows performing Wi-Fi diagnostic, and to some extent troubleshooting, at a communication device connected to a WiFi access point.
The present section is intended to introduce the reader to various aspects of art, which may be related to various aspects of the present disclosure that are described and/or claimed below. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. Accordingly, it should be understood that these statements are to be read in this light, and not as admissions of prior art.
The simplicity of use of wireless networks relying on IEEE 802.11 standards, allowing connecting a device to a network with no cable to run, has made them become very popular: WiFi networks are now widely deployed in a very large number of local area networks (LAN) and home area networks (HAN). More and more devices, including general public consumer devices such as smartphones, tablets, set-top boxes, television sets, are now provided with a WiFi interface, and the volume of data being exchanged on WiFi networks is continuously increasing.
In this context, the quality of the WiFi connection has become a key point, and there is thus a need to be able to monitor WiFi quality of service.
To this end, some approaches rely on full Wi-Fi network monitoring with deep channel inspection and history creation implemented at a Wi-Fi router level, i.e. at the access point level. When properly implemented, such solutions usually prove to be efficient when it comes to monitoring WiFi network characteristics. However, they are usually not among the primary target features when designing a WiFi router, and their integration within such a device has a significant cost. As a result, they often stay under development. In addition, these solutions are WiFi router centralized solutions, i.e. access point centric, meaning that they are not always adapted to identify specific issues that can concern a particular WiFi client device within the network. For example, since most of WiFi clients are devices designed to be mobile devices (e.g. smartphones, tablets, laptop computers), these solutions usually focus on monitoring characteristics that provide information related to roaming or roaming issues, at the expenses of other characteristics.
Nonetheless, some WiFi clients which are not necessarily mobile devices may be severely impacted by some variation of the quality of received signal. This is particularly true in systems which require real time transmission and/or reception of data. For example, in a wireless local area or home area network, a communication device such as a set-top box (STB) connected to a television set may need to receive real-time data from another device. Real time data may for example be TV program or streamed video content which is provided by an operator or a content provider (i.e. Verizon™, T-Mobile™, Orange™, Deutsche Telekom™, Netflix™ etc.). Real time data may also be video and/or audio representing execution of software somewhere in another network and coming from one or several servers, such as for example streamed data originating from the execution of a multiplayer game in the cloud. More generally, one can consider real time data as data which are transmitted (and received) with time constraint and order constraint, both of these constraints determining the possibility of transmitting and/or receiving real-time data in acceptable conditions. Good reception quality may be critical in such wireless communication devices designed to fulfill specific needs.
Thus, an interest exists in device-centric approach, i.e. In monitoring, diagnostic and troubleshooting techniques which are not implemented at an access point level, but instead at a communication device connected to an access point.
However, one can observe that a lot of communication devices provide no information at all on that front. When information is provided regarding WiFi link status at a given communication device, it is in most cases limited to the display of the measurement of the received signal strength indicator (RSSI). Yet, the sole strength of a received signal may not be enough to determine whether a given communication device may be able to properly receive real-time data in a network, the quality of a WiFi link being highly dependent of several criteria. Finally, in rare cases where more information is provided, it usually consists in displaying a snapshot of the WiFi connection state, basically a succession of raw measurements of complex characteristics which are incomprehensible and/or uninterpretable to most people, even experienced users. Besides, information provided, when available, is limited to characteristics associated with the WiFi channel currently used for the WiFi link between the communication device and the access point. Thus, no way is offered to compare, with respect to the quality of the WiFi link at the communication device, how the current channel ranks among other available channels within the used WiFi frequency band.
It would hence be desirable to provide a technique that would avoid at least some of these drawbacks of the prior art, and that would notably allow providing a more accurate, more readable, and easier to use way to evaluate, at a communication device connected to an access point level, the quality of a WiFi link operated on a current channel and/or an expected quality for the WiFi link if operated on another channel.
According to the present disclosure, a method for evaluating the quality of a channel operable by a WiFi access point for establishing a WiFi connection with a communication device is proposed. The method is implemented by the communication device, which is already connected to the access point on a given channel, called a current channel, within a predetermined WiFi frequency band. The method includes a first phase for computing a score representative of a channel quality for at least one WiFi channel, called a scanned channel, within the predetermined WiFi frequency band, the first phase including at least one iteration of: obtaining the scanned channel bandwidth and a maximum effective isotropic radiated power associated with the scanned channel; determining a number of neighboring access points operating in the scanned channel; estimating a neighbor airtime occupancy for the scanned channel; and computing a score for the scanned channel, as a function of the obtained bandwidth, the obtained maximum effective isotropic radiated power, the determined number of neighboring access points, and the estimated neighbor airtime occupancy. The technique thus allows obtaining an accurate indicator of the ability of a communication device to transmit and/or receive data, and more particularly real-time data, in good conditions, depending on the channel operated on the access point to which the communication device is connected.
According to an embodiment, determining the number of neighboring access points using the scanned channel and estimating the neighbor airtime occupancy for the scanned channel are performed from pieces of data delivered by a WiFi driver during a monitoring period of the scanned channel.
According to a particular feature of this embodiment, the estimated neighbor airtime occupancy is equal to the sum of an overlapping basic service set value and an interference value obtained or inferred from the pieces of data delivered by the WiFi driver during the monitoring period of the scanned channel.
According to a complementary feature of this embodiment, estimating the neighbor airtime occupancy for the scanned channel further includes: analyzing a channel usage history data structure stored within the communication device to identify at least one previous connection of the communication device to the access point on the scanned channel; retrieve an average neighbor airtime occupancy associated with the at least one previous connection; and setting the estimated neighbor airtime occupancy for the scanned channel to the maximum value between the average neighbor airtime occupancy retrieved from the channel usage history data structure and the estimated neighbor airtime occupancy computed from the pieces of data delivered by the WiFi driver during the monitoring period of the scanned channel.
According to an embodiment, the scanned channel is an extended-bandwidth channel formed by bonding together a plurality of adjacent channels of the predetermined WiFi frequency band and; the number of neighboring access points associated with the scanned channel is determined as the sum of the number of neighboring access points associated with each channel of the plurality of adjacent channels bonded to form the scanned channel; and the neighbor airtime occupancy associated with the scanned channel is estimated as the maximum value among the estimated neighbor airtime occupancy values associated with each channel of the plurality of adjacent channels bonded to form the scanned channel.
According to an embodiment, computing the score for the scanned channel includes applying a score penalty to the score if the determined number of neighboring access points is above a predetermined threshold number, said score penalty being proportional to the determined number of neighboring access points.
According to an embodiment, computing the score for the scanned channel further includes taking into account a maximum effective isotropic radiated power associated with the current channel and a current received signal strength indicator representative of the power of the signal received by the communication device on the current channel.
According to an embodiment a score is computed for each channel of the predetermined WiFi frequency band, including the current channel.
According to an embodiment, a score representative of the quality of the current channel and a score representative of the quality of at least one other channel within the predetermined WiFi frequency band, called a candidate channel, are computed in the first phase, and the method includes a second phase for evaluating a benefit of a channel switch, the second phase including: determining the channel having the best score, called the best candidate channel, among the at least one candidate channel; calculating a score ratio between the best candidate channel score and the current channel score; and delivering a piece of data representative of a benefit or not to use the best candidate channel instead of the current channel for the connection between the communication device and the access point, as a function of the calculated score ratio.
According to a particular feature of this embodiment, delivering a piece of data representative of a benefit or not to use the best candidate channel instead of the current channel further takes into account at least one characteristic associated with the connection between the communication device and the access point on the current channel.
According to a complementary feature of this embodiment, the at least one characteristic belongs to the group including: an average data rate measured for the connection between the communication device and the access point on the current channel; an average neighbor airtime occupancy for the current channel; and an average quality of service associated with the connection between the communication device and the access point on the current channel.
According to an embodiment, the communication device has a plurality of WiFi antennas, and the second phase further includes delivering a piece of data representative of a probability of non-optimal positioning of the communication device and/or of a probability of hardware issue on the communication device, as a function of pieces of data representative of a set of received signal strength indicator values measured at each WiFi antenna of the communication device.
The present disclosure also relates to a communication device connected to a WiFi access point on a given WiFi channel, called a current channel, within a predetermined WiFi frequency band, the communication device including at least one processor configured for computing a score representative of a channel quality for at least one WiFi channel, called a scanned channel, within the predetermined WiFi frequency band, by: obtaining the scanned channel bandwidth and a maximum effective isotropic radiated power associated with the scanned channel; determining a number of neighboring access points operating in the scanned channel; estimating a neighbor airtime occupancy for the scanned channel; and computing a score for the scanned channel, as a function of the obtained bandwidth, the obtained maximum effective isotropic radiated power, the determined number of neighboring access points, and the estimated neighbor airtime occupancy.
According to one implementation, the different steps of the method for evaluating the quality of a channel operable by a WiFi access point as described here above are implemented by one or more software programs or software module programs including software instructions intended for execution by at least one data processor of a communication device connected to the access point through a current channel.
Thus, another aspect of the present disclosure pertains to at least one computer program product downloadable from a communication network and/or recorded on a medium readable by a computer and/or executable by a processor, including program code instructions for implementing the method as described above. More particularly, this computer program product includes instructions to command the execution of the different steps of a method for evaluating the quality of a channel operable by a WiFi access point for establishing a WiFi connection with a communication device, as mentioned here above.
This program can use any programming language whatsoever and be in the form of source code, object code or intermediate code between source code and object code, such as in a partially compiled form or any other desirable form whatsoever.
According to one embodiment, the methods/apparatus may be implemented by means of software and/or hardware components. In this respect, the term “module” or “unit” can correspond in this document equally well to a software component and to a hardware component or to a set of hardware and software components.
A software component corresponds to one or more computer programs, one or more sub-programs of a program or more generally to any element of a program or a piece of software capable of implementing a function or a set of functions as described here below for the module concerned. Such a software component is executed by a data processor of a physical entity (terminal, server, etc.) and is capable of accessing hardware resources of this physical entity (memories, recording media, communications buses, input/output electronic boards, user interfaces, etc.).
In the same way, a hardware component corresponds to any element of a hardware unit capable of implementing a function or a set of functions as described here below for the module concerned. It can be a programmable hardware component or a component with an integrated processor for the execution of software, for example an integrated circuit, a smartcard, a memory card, an electronic board for the execution of firmware, etc.
In addition, the present disclosure also concerns a non-transitory computer-readable medium including a computer program product recorded thereon and capable of being run by a processor, including program code instructions for implementing the above-described method for evaluating the quality of a channel operable by a WiFi access point for establishing a WiFi connection with a communication device.
The computer readable storage medium as used herein is considered a non-transitory storage medium given the inherent capability to store the information therein as well as the inherent capability to provide retrieval of the information therefrom. A computer readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. It is to be appreciated that the following, while providing more specific examples of computer readable storage mediums to which the present principles can be applied, is merely an illustrative and not exhaustive listing as is readily appreciated by one of ordinary skill in the art: a portable computer diskette; a hard disk; a read-only memory (ROM); an erasable programmable read-only memory (EPROM or Flash memory); a portable compact disc read-only memory (CD-ROM); an optical storage device; a magnetic storage device; or any suitable combination of the foregoing.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are not restrictive of the disclosure, as claimed.
It must also be understood that references in the specification to “one embodiment” or “an embodiment”, indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the art to affect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described.
Embodiments of the present disclosure can be better understood with reference to the following description and drawings, given by way of example and not limiting the scope of protection, and in which:
The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the disclosure.
The present disclosure relates to a method for evaluating the quality of a channel operable by a WiFi access point for establishing a WiFi connection with a communication device. The method is implemented by a communication device, which is already connected to the WiFi access point through a WiFi channel, called a current channel throughout the present disclosure. The current channel belongs to a predetermined WiFi frequency band, such as for example the 2.4 GHz or the 5 GHz frequency band.
As already presented above, in relation with the background of the proposed technique, data transmission and/or reception conditions through a given WiFi channel may be impacted by several factors, and the sole received signal strength indicator (RSSI) at the communication device—although sometimes used as a kind of representation of the quality of the wireless link—may actually prove insufficient in many situations for correctly evaluating the quality of such a link. For example, the wireless neighborhood of the communication device includes the access point creating the wireless network to which the communication device is connected, but also includes other access points in the vicinity of the communication device. Such other access points, whose coverage overlaps with the used access point's coverage at a given signal level (for example −85 dBm or higher level), are referred to as neighboring access points. When operating on the same channel as the current access point, these neighboring access points are likely to perturb data transmission and/or reception at the communication device, due to airtime occupancy and interferences.
As it will be described more fully hereafter with reference to the accompanying figures, it is thus proposed in one embodiment of the present disclosure to provide an improved and more accurate way to evaluate the quality of a WiFi channel for establishing a WiFi connection with a communication device. This objective is reached, according to the disclosure, by computing a score representative of a channel quality for at least one WiFi channel operable by the access point to which the communication device is connected. According to an embodiment, the score is computed from the communication device perspective, i.e. It reflects the quality of a channel regarding transmission and reception conditions for the particular connection between a given communication device—the device implementing the proposed technique—and the access point One can thus consider the proposed technique as a device-centric solution, in contrast to access point centric solutions sometimes existing in prior art. The computed scores may then be used for identifying another channel (i.e. a channel different than the current channel currently operated on the access point) likely to provide significant improvement of data transmission and reception conditions at the communication device, if operated by the access point. When computed for the current channel, the quality score (possibly along with other metrics) may also be used for performing WiFi diagnostic on the current channel, by allowing the identification of possible weaknesses or issues on the WiFi link and eventually providing recommendations for fixing them.
This disclosure may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein. Accordingly, while the disclosure is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that there is no intent to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure as defined by the claims. In the drawings, like or similar elements are designated with identical reference signs throughout the several views thereof.
While not explicitly described, the present embodiments and variants may be employed in any combination or sub-combination.
As discussed above, the method is implemented by the communication device, which is further detailed in one embodiment later in this document, and which includes at least one processor adapted and configured for carrying out the phases and steps described hereafter.
According to the general principle of the disclosure, the proposed technique includes a first phase for computing a score representative of a channel quality for at least one WiFi channel within the predetermined WiFi frequency band, called a scanned channel. The current channel may be one of the scanned channels, meaning that a score can be computed for the current channel itself. According to an embodiment, a score is computed for each channel of the predetermined WiFi frequency band, including the current channel and extended-bandwidth channels formed by channel bonding techniques, so that a channel quality scores map for the whole predetermined WiFi frequency band is obtained. The first phase is illustrated on the flow chart depicted on figure L in an embodiment of the disclosure. Such first phase P1 includes at least one iteration of the steps described hereafter, allowing computing a quality score for at least one scanned channel SC of the predetermined WiFi frequency band.
At step 11, the communication device obtains the bandwidth of the scanned channel SC and the maximum effective isotropic radiated power (EIPR) associated with the scanned channel SC. The maximum effective isotropic radiated power is obtained directly from the knowledge of the scanned channel, since it is defined by local regulations that allow some well-identified channels to transmit at higher powers. For example, in Europe, the 5 GHz WiFi frequency band is divided into 20 MHz bandwidth channels (numbered 36, 40, 44, 48, 52, 56, 60, 64, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140) which may be bonded to form 40 MHz and 80 MHz bandwidth channels. According to European regulations, the maximum effective isotropic radiated power allowed for channels 36 to 64 is 23 dBm, and the maximum effective isotropic radiated power allowed for channels 100 to 140 is 30 dBm.
A determination of the number of neighboring access points operating in the scanned channel SC and an estimation of the neighbor airtime occupancy for the scanned channel SC are respectively implemented at steps 12 and 13, which are further detailed later in the document. According to an embodiment, these operations are performed from pieces of data delivered by a WiFi driver during a monitoring period of the scanned channel SC. The WiFi driver is for example included in the communication device itself, or in another device in the network, such as a WiFi router creating the access point to which the communication device is connected. Inasmuch as the monitoring of the scanned channel SC is likely to perturb data reception through the current channel CC on the communication device, and given the fact that a plurality of scanned channels may be processed, the monitoring period of a scanned channel is limited to a short duration, for example one second, and to take place at off-peak time in term of data traffic (for example once a day, at night, or at least after checking that the communication device is not currently receiving high amount of data, such as video data stream, from the access point). Steps 12 and 13 are now further detailed hereafter, according to various embodiments of the disclosure.
At step 12, the communication device determines the number of neighboring access points operating in the scanned channel SC. According to an embodiment, such a determination may be performed by analyzing a list of detected wireless networks obtained through the WiFi driver mentioned above, and possibly by filtering this list by using specific rules. According to a particular feature, the wireless networks list associated with the scanned channel SC is filtered using some mac addresses masks, so as to remove from the list duplicated access points having identical or similar BSSID. In that way, a same device (e.g. a WiFi router) operating more than one access point on the scanned channel SC is counted only as one single access point (i.e. as one single neighbor). Besides, if the scanned channel SC is the current channel CC, the access point to which the communication device is currently connected is not counted within the determined number of neighboring access points associated with the scanned channel SC.
At step 13, the communication device estimates the neighbor airtime occupancy associated with the scanned channel SC. According to an embodiment, such an estimation may be performed from radio statistics obtained through the WiFi driver mentioned above. More particularly, among others, the driver provides following metrics (either as raw data or as data directly derived from raw data) associated with the scanned channel SC:
The sum of these two values (“obss”+“interf”) is thus considered, in the context of the disclosure and according to an embodiment, as the estimated neighbor airtime occupancy, since it is representative of an occupancy time (in percentage of time) due or assimilated to the presence of some neighboring access points.
According to an embodiment, estimating the neighbor airtime occupancy for the scanned channel further includes taking into account some statistics previously stored within the communication device, with respect to the scanned channel SC. In other words, instead of relying only on a one-time monitoring performed during a short duration scan of the scanned channel SC by the communication device furthermore currently operating in the current channel CC (which is likely to be different from the scanned channel SC), it is proposed to take into account, in addition and when available, radio statistics previously stored in a channel usage history data structure CHU within the communication device. Indeed, because of possible previous channel switch, the access point to which the communication device is connected may have operated in a channel corresponding to the scanned channel SC in the past, and more particularly in a near past. In this case, statistics associated with these previous connections are retrieved from the channel usage history data structure (which may be formed by one or more log files or by a database for example), and analyzed to obtain an average neighbor airtime occupancy associated with at least one of these previous connections over the scanned channel SC. According to a particular feature of this embodiment, the neighbor airtime occupancy statistics taken into account for computing the average neighbor airtime occupancy are those associated, within the channel usage history data structure CHU, with a number of neighboring access points which is equal to the number of neighboring access points determined at step 12 (in such a case, it is assumed that step 12 is carried out before step 13).
According to this embodiment, and in order to consider the worst-case scenario when afterwards computing a quality score the scanned channel SC, the estimated neighbor airtime occupancy for the scanned channel is then set to the maximum value between:
According to an embodiment, when the scanned channel SC is an extended-bandwidth WiFi channel formed by bonding together a plurality of adjacent WiFi channels of the predetermined WiFi frequency band:
Such an embodiment is illustrated in relation with
Unless otherwise described, steps 11, 12 and 13 may be processed in parallel or one after the other, whatever the order.
At step 14, a score representative of the quality of the scanned channel SC is computed, as a function of scanned channel characteristics outputted at steps 11, 12 and 13, namely:
More particularly, according to an embodiment, the score is computed in such a way that wider channel bandwidth (meaning higher data rate) and higher maximum effective isotropic radiated power have a positive impact on the computed quality score, whereas higher number of neighboring access points and higher estimated neighbor airtime occupancy have a negative impact on the computed quality score.
An example of algorithm for computing a quality score associated with a scanned channel SC within the 5 GHz frequency band is provided below.
As it can be note from this exemplary algorithm, various embodiments (that may be employed in any combination or sub-combination) may be implemented when computing the score representative of the quality of the scanned channel SC. More particularly:
According to an embodiment, computing the score associated with the scanned channel SC further takes into account some metrics associated with the current channel CC. More particularly, at an optional step 15, the maximum effective isotropic radiated power associated with the current channel CC and a current received signal strength indicator (RSSI) representative of the power of the signal received by the communication device through the current channel (CC) are analyzed so as to estimate whether or not there would be an expected benefit to switch from the current channel CC to a channel emitting with more power.
For example, a flag representative of such a benefit may be set to “true” if one of the two following conditions is true (meaning that there is an expected benefit), or “false” otherwise (meaning that there is no expected benefit):
These conditions may be seen as mirror conditions (one for high power channels, one for low power channels) used to evaluate if the communication device is considered as far from the access point, in which case there is an expected benefit to switch to a more powerful channel and the flag is set to “true”.
On course, condition given above are only illustrative examples, and should be adapted depending on local regulations regarding the maximum EIRP associated with WiFi channels (regulations are not the same is every country).
The value of the flag (named CC_SWITCH_BENEF in the exemplary algorithm presented above) can then be taken into account when computing the score representative of the quality of the scanned channel SC.
For example, if the communication device is considered as far from the access point (CC_SWITCH_BENEF set to “true”), and if the scanned channel SC is a high power emitting channel (SC_EIRP=30 dBm), one can considered that there is a direct (i.e. high) expected benefit to switch to scanned channel SC. The scanned channel score is then impacted accordingly (by being multiply by 2 in the exemplary example).
If the communication device is considered as already close enough from the access point (CC_SWITCH_BENEF set to “false”) and if the scanned channel SC is a high power emitting channel (SC_EIRP=30 dBm), the communication device may not benefit directly of a switch to scanned channel SC. However, other devices in the same wireless network may possibly benefit of such a switch, and as a consequence free up airtime for the communication device. One can thus consider that there is an indirect (i.e. medium) expected benefit to switch to scanned channel SC. The scanned channel score is then impacted accordingly (by being multiply by 1.5 in the exemplary example, i.e by being multiplied by a factor strictly greater than 1 but lower than the multiplying factor of 2 applied when a direct benefit is expected).
In this embodiment, the score representative of the quality of the scanned channel can be considered as a relative score, since it doesn't depend only on scanned channel SC characteristics, but also on some of the current channel CC characteristics. Such an embodiment is of interest, since it allows better evaluating the potential benefit to switch from current channel CC to scanned channel CC, from the perspective of the communication device.
The computed scores may then be used in a second phase, for evaluating a benefit (or an expected benefit), from the communication device perspective, of configuring the access point to operate on another channel than the current channel CC.
Such a second phase P2 is illustrated on the flow chart depicted on
At step 21, the communication device determines the channel having the best quality score, referred to as the best candidate channel, among the candidate channels (XC1, XC2, XC3).
At step 22, the communication device then calculates a score ratio between the best candidate channel score and the current channel score.
This score ratio is used at step 23 by the communication device, to evaluate whether or not there is an expected benefit to use the best candidate channel instead of the current channel for the connection between the communication device and the access point, and to deliver a resulting piece of information.
For example, if the score ratio is above a predetermined threshold (150 for example), an information may be rendered on the communication device to advice a user to configure the access point to operate on the best candidate channel, instead of using current channel CC. According to an embodiment, other metrics associated with the current channel may be used along with the ratio score to identify possible weaknesses in the current WiFi link and eventually provides recommendation for improving it. For example, these complementary metrics include an average data rate measured for the connection between the communication device and the access point on the current channel, an average neighbor airtime occupancy for the current channel, and/or an average quality of service (QoS) associated with the connection between the communication device and the access point on the current channel. These metrics may be obtained or computed from a channel usage data structure such as the one already described in relation with step 13 for example (or from another data structure stored within or accessible from the communication device). They may be representative of an average state of the WiFi link through the current channel over a given time period, such as for example the last three days or the last week (assuming that no channel switch has occurred during that period), or the past period up to the last channel switch performed on the access point for example. The average QoS may be an average of some quality scores associated with the current channel, computed according to the present technique on a regular time basis (e.g. every day over the given time period). Alternatively, it may be an average of values of a composite QoS indicator computed from raw data obtained through a WiFi driver or directly from the physical layer, at the communication device, such as the “PHY rate” of the last received data frame by the communication device, the remaining available time for transmission “Tx opportunity” and the percentage of retransmission “Frame retries”. By comparing these complementary metrics with some predetermined thresholds, other information may be provided to the user of the communication device (and possible associated recommendations), such as for example identifying whether or not the communication device appears to be too far from the access point (and advise the user to bring the communication device closer to the access point, if possible), and/or warning the user if the current channel appears to be particularly crowded (i.e. used by a lot of neighboring access points, and for example advice the user to configure the access point to operate on another channel, if one with a better quality score has been found).
According to an embodiment, when the communication device has more than one antenna, the proposed technique further includes an antenna diagnostic, including delivering a piece of data representative of a probability of non-optimal positioning of the communication device and/or of a probability of hardware issue on the communication device, as a function of pieces of data representative of a set of received signal strength indicator (RSSI) values measured at each WiFi antenna of the communication device. Such RSSI values may be retrieved, for example, from a channel usage history data structure as already described, or from another data structure. More particularly, it is proposed to infer from the comparison of various average values either a bad or inappropriate positioning of the communication device or a possible hardware issue on one or more antenna of the communication device. For example, assuming that the communication device has four antennas, with a given number of RSSI value samples available for each antenna (values measured on a regular time basis, over a predetermined time period), the following metrics are calculated and compared to predetermined thresholds (“avg” stands for “average”):
delta_avg_RSSI=max(RSSI1avg,RSSI2avg,RSSI3avg,RSSI4avg)minus min(RSSI1avg,RSSI2avg,RSSI3avg,RSSI4avg); and
avg_delta_RSSI=average(max(RSSI1,RSSI2,RSSI3,RSSI4)minus min(RSSI1,RSSI2,RSSI3,RSSI4)).
It is then considered, for example, that:
As discussed above, the proposed technique thus offers a device-centric solution for performing a rather exhaustive diagnostic of a WiFi current channel from the communication device perspective, allowing identifying and solving most of the issues. Besides, it allows comparing the quality of the WiFi channels operable on the access point, making it possible to automatically identify a channel likely to provide a better wireless connection than the current one between the communication device and the access point (e.g. In terms of data rate, stability, availability, etc.). Such a solution, although not as complete as access point centric full Wi-Fi management solutions, in cheap in comparison. The diagnostic may be performed once per day, or on user/operator demand for example.
The result of the diagnostic and associated recommendations can be formatted and stored under various format. For example, it may take the form of a JSON or XML formatted file, easily readable and computer-processable. The result of the diagnostic can be rendered on the communication device itself, or/and be transmitted to another device. For example, it can be transmitted to a remote server for rendering on a dashboard integrated in a backend service (allowing an operator to take preventive action based on the diagnostic, for example), or used locally for rendering within a dedicated application (allowing a user to have a better understanding of possible WiFi link issues and hints to solve them).
The device 300 includes a processor 301, a storage unit 302, an input device 303, an output device 304, and an interface unit 305 which are connected by a bus 306. Of course, constituent elements of the device 300 may be connected by a connection other than a bus connection using the bus 306.
The processor 301 controls operations of the monitoring device 300. The storage unit 302 stores at least one program to be executed by the processor 301, and various data, including for example parameters used by computations performed by the processor 301, intermediate data of computations performed by the processor 301 such as the scanned channel characteristics (bandwidth, maximum EIRP, number of neighboring access point, estimated neighbor airtime occupancy) obtained, determined or estimated by the device 300, and so on. The processor 301 is formed by any known and suitable hardware, or software, or a combination of hardware and software. For example, the processor 301 is formed by dedicated hardware such as a processing circuit, or by a programmable processing unit such as a CPU (Central Processing Unit) that executes a program stored in a memory thereof.
The storage unit 302 is formed by any suitable storage or means capable of storing the program, data, or the like in a computer-readable manner. Examples of the storage unit 302 include non-transitory computer-readable storage media such as semiconductor memory devices, and magnetic, optical, or magneto-optical recording media loaded into a read and write unit. The program causes the processor 301 to perform a method for evaluating the quality of a channel operable by a WiFi access point for establishing a WiFi connection with a communication device according to an embodiment of the present disclosure as described previously. More particularly, the program causes the processor 301 to compute a score representative of the quality of at least one channel within a predetermined WiFi frequency band, so that an interest to switch to such a channel may be evaluated from the communication device perspective.
The input device 303 is used to obtain the raw values associated with the current and/or scanned channel. The input device may take the form of a WiFi driver embedded in the communication device.
The output device 304 is formed for example by a processing unit configured to take decision or inform on receiving conditions as a function of a set of quality scores computed for various channels of the predetermined WiFi frequency band.
The interface unit 305 provides an interface between the communication device 300 and an external apparatus. The interface unit 305 is typically WiFi interface allowing wireless communication with the external apparatus. For example, the external apparatus may be an access point operated by a router.
Although only one processor 301 is shown on
While the disclosure has been described with reference to exemplary embodiments, it is to be understood that the disclosure can be embodied in various forms, and is not to be limited to the examples discussed above.
| Number | Date | Country | Kind |
|---|---|---|---|
| 20186534.2 | Jul 2020 | EP | regional |
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/EP21/67292 | 6/24/2021 | WO |
