WO2017207310A1

WO2017207310A1 - A system and the related method for optimizing wi-fi coverage in a home network

Info

Publication number: WO2017207310A1
Application number: PCT/EP2017/062207
Authority: WO
Inventors: Amir Ligata; Haris Gacanin
Original assignee: Alcatel Lucent SAS
Current assignee: Alcatel Lucent SAS
Priority date: 2016-05-31
Filing date: 2017-05-22
Publication date: 2017-12-07
Anticipated expiration: 2018-11-30
Also published as: JP2019520747A; KR20190014533A; EP3253102A1; US20190150002A1; US10638330B2; CN109196899A

Abstract

A system (1) for optimizing Wi-Fi coverage (100) in a home network (2), comprising: -a Wi-Fi signal strength monitor (10) monitoring Wi-Fi signal strength (110) between anaccess point (3) and a Wi-Fiextender (4); -a Wi-Fi extender location optimizing module (11) determining Wi-Fi coverage (100) of said Wi-Fi extender(4) located at acurrent location (400) and at candidate locations(401)in said home network (2);and -a power-lineextender location optimizing module (12): -determiningcoverage (120) of apower-lineextender (5) located at a power-linecurrent location (500) and at a power-lineextender candidate location (501) in said home network (2);and -repositioningsaid power-lineextender (5) to said power-lineextender candidate location (501) when said coverage (120) exceeds coverage (120) at said power-linecurrent location (500).

Description

A SYSTEM AND THE RELATED METHOD FOR OPTIMIZING WI-FI COVERAGE

IN A HOME NETWORK

Technical Field

[01] The present invention relates to the field of home network diagnostic and troubleshooting. More particularly, the present invention relates to the field of Wi-Fi home network diagnostic and troubleshooting.

Background

[02] With the development of new applications and technologies, such as digital television, on-line gaming and home automation, Internet access must extend to various types of home devices, for example a set-top box, a game console, a home automation system, several desktops and laptops, etc.. All these home devices are interconnected by means of a home network, such as a Wi-Fi network. To guarantee a uniform customer experience, also referred to as QoE, across the whole home network, care must be taken to enhance Wi-Fi coverage in the home networks.

[03] Access points are deployed in such home networks in a random fashion across different rooms, different floors, different apartment blocks, etc.. This results in interferences, contention, problems with load balancing, etc., but poor coverage remains one of the most severe problems encountered in home networks. Obstacles such as walls, stretched layouts and suboptimal placement of the access points in the home networks all give rise to a number of coverage holes in home networks. In addition to coverage holes, some areas of the home network might be poor reception zones where the end user's device hardly receives a Wi-Fi signal from an access point. The end user then experiences a poor performance and his QoE deteriorates.

[04] Dense Wi-Fi deployment is one of the ways to significantly enhance Wi-Fi coverage and to thereby increase the customer QoE. For example, additional access points, such as for example Wi-Fi extender and Wi-Fi repeaters, are deployed in a home network in order to guarantee a uniform customer experience. The type and the location of these additional access points is manually chosen. Each additional access point indeed comprises an indicator being activated as soon as the additional access point enters a Wi-Fi coverage zone.

[05] Several limitations remain coupled with dense Wi-Fi deployment. First, there exists to continuous nor remote monitoring of the link between the access points, the Wi-Fi extenders or repeaters, and the end devices. It could be that the Wi-Fi coverage in a home network changes as new obstacles arise and/or as layouts of the home network stretch. Additionally, the detection thresholds of the additional access points are predefined and cannot be tuned. Each provider of access point predefines a set of thresholds which might not be compatible with a set of thresholds of another provider. The indications provided by their indicators are instantaneous measurements that are not reflective of an average Wi-Fi coverage in the home network. Additionally, there exists no correlation between the indications and an expected Wi-Fi coverage. Finally, if the indicator malfunctions, an end user will not be able to determine if the access point malfunctions or if the Wi-Fi coverage is too weak. [06] Another proposed solution to increase the customer QoE is described in the white paper of Qualcomm entitled "Qualcomm Hy-Fi Total Configuration Algorithm (TCA) for Hybrid Devices" published in January 2013. This solution relies on hybrid networks where the access points of a home network adjust their parameters such that the Wi-Fi coverage is optimized and such that the interferences between access points are minimized. This approach is complex and extremely costly.

Summary of the Invention [07] It is an objective to disclose a device and the related method that overcome the above identified shortcomings of existing solutions. More particularly, it is an objective to disclose a system for optimizing Wi-Fi coverage in a home network which deploys a simple and cost-efficient solution to guarantee a uniform customer experience. [08] According to a first aspect of the invention, the above defined objectives are realized by a system for optimizing Wi-Fi coverage in a home network comprising at least the system, an access point, a Wi-Fi extender and a power-line extender, the system comprising:

- a Wi-Fi signal strength monitor adapted to monitor Wi-Fi signal strength between the access point and a current location of said Wi-Fi extender in the home network;

- a Wi-Fi extender location optimizing module adapted to determine Wi-Fi coverage of the Wi-Fi extender located at the current location and located at candidate locations in the home network different from the current location when the Wi-Fi signal strength is below a predefined signal strength threshold; and

- a power-line extender location optimizing module adapted to:

o when the Wi-Fi coverage at all candidate locations is lower than the Wi-Fi coverage at the current location, determine coverage of the power-line extender located at power-line current location and located at a power-line extender candidate location in the home network different from the power- line current location;

o reposition the power-line extender to the power-line extender candidate location when the coverage exceeds coverage at the power-line current location.

[09] The system according to the present invention optimizes Wi-Fi coverage in a home network. The system accounts the aggregated statistics on a network link between a current location of a Wi-Fi extender of the home network and an access point of the home network. In other words, the system according to the present invention takes into account parameters collected by an access point of the home network to optimize Wi-Fi coverage in the home network. The system further continuously monitors Wi-Fi coverage in a home network, thereby assessing Wi-Fi coverage on possible alternative locations of the Wi-Fi extender and possible alternative locations of the power-line extender, and recommending repositioning the Wi-Fi extender and/or the power-line extender when Wi-Fi coverage can be optimized. In other words, the system remotely investigates the quality of the link between a Wi-Fi extender and an access point and, through a number of logical steps, optimizes the location of the Wi-Fi extender. The optimization of Wi-Fi coverage in the home network is therefore centralized in the system according to the present invention. This minimizes the equipment needed to optimize Wi-Fi coverage in a home network.

[10] In accordance with the present invention, Wi-Fi coverage comprises a wireless signal range and a wireless signal strength of the wireless signal emitted by an access point, while coverage relates to a contention factor, i.e. a number of neighbouring access points of the home network that are operating on the same or adjacent wireless channels and that are competing with the Wi-Fi extender for airtime. A home network according to the present invention is a type of local area network with the purpose to facilitate communication among digital devices present inside or within the close vicinity of a home. Devices capable of participating in this network, for example smart devices such as computers, tablets, smartphones, network printers and handheld mobile computers, often gain enhanced emergent capabilities through their ability to interact. The home network according to the present invention comprises the system according to the present invention, an access point, a Wi-Fi extender and a power-line extender. Alternatively, the home network according to the present invention comprises a plurality of access points, a plurality of Wi-Fi extenders, a plurality of power-line extenders, etc.. An access point according to the present invention is a wireless access point, for example a networking hardware device that allows a Wi-Fi compliant device to connect to the home network. In accordance with the present invention, a wireless repeater, also referred to as a wireless range extender, is for example a networking hardware device that takes an existing signal from a wireless router or wireless access point and rebroadcasts it to create a second network. When two or more Wi-Fi compliant devices have to be connected with one another and the distance is too long for a direct connection to be established, a wireless repeater is used to bridge the gap, thereby improving Wi-Fi coverage within homes, buildings, offices, etc.. According to the present invention, a power-line extender is for example a networking hardware device that uses electrical wiring to simultaneously carry both data, and Alternating Current electric power transmission or electric power distribution. Power-line communication is also referred to as power-line carrier, power-line digital subscriber line, mains communication, power-line telecommunications, or power-line networking. A candidate location of the Wi-Fi extender in the home network is different from the current location of the Wi-Fi extender in the home network and is to be understood as a location in the home network suitable for hosting the Wi-Fi extender. A power-line extender candidate location of the power-line extender in the home network is different from the current location of the power-line extender in the home network and is to be understood as a location in the home network suitable for hosting the power-line extender.

[11] According to an optional aspect of the invention, the system further comprises a throughput assessing unit adapted to determine from the Wi-Fi signal strength an achievable throughput between the access point and the current location of the Wi-Fi extender.

[12] This way, the system provides insight into the achievable performance of the link between the current location of the Wi-Fi extender and the access point in the home network. In other words, the system remotely investigates the quality of the link between a current location of the Wi-Fi extender and an access point and assesses an achievable throughput between the access point and the current location of the Wi-Fi extender based on remotely collected parameters collected by the access point without requiring an involvement of the end user.

[13] According to an optional aspect of the invention, the system further comprises a location data collecting unit adapted to collect location data on the candidate locations and on the power-line extender candidate location.

[14] This way, the system takes end-user data taken into account when optimizing Wi-Fi coverage in the home network. The location data on the candidate locations of the Wi-Fi extender in the home network and on the power-line extender candidate location of the power-line extender in the home network is collected from the end user device.

[15] According to an optional aspect of the invention, the location data comprises one or more of the following: - the Wi-Fi signal strength and a contention factor for each of the candidate locations;

- a power-line extender contention factor for the power-line extender candidate location.

[16] A contention factor at a given location of the Wi-Fi extender comprises of a number of neighbouring access points that are operating on the same or adjacent wireless channels and are competing with the Wi-Fi extender for airtime. A contention factor at a given location of the power-line extender comprises of a number of neighbouring access points that are operating on the same or adjacent wireless channel and are competing with the power-line extender for airtime.

[17] According to an optional aspect of the invention, the Wi-Fi extender location optimizing module is further adapted to:

- receive location data on the candidate locations from the location data collecting unit;

- determine from the Wi-Fi signal strength a signal quality score for the current location;

- determine from the location data a signal quality score for each of the candidate locations;

- compare each of the signal quality scores to a predefined quality score threshold;

- select a selected location for which the signal quality score complies with the predefined quality score threshold and for which the signal quality score is above the signal quality score for the current location; and

- reposition the Wi-Fi extender to the selected location;

and wherein the throughput assessing unit is further adapted to determine an achievable throughput between the access point and the selected location.

[18] A signal quality score is indicative for the quality of Wi-Fi coverage at a given location of the Wi-Fi extender in the home network. The Wi-Fi extender location optimizing module takes the location data remotely collected from the network devices into account when determining a signal quality score for a current location of the Wi-Fi extender. Additionally, the Wi-Fi extender location optimizing module takes the location data remotely collected from the network devices into account when determining a signal quality score for a candidate location of the Wi-Fi extender. When the signal quality score of a candidate location of the Wi-Fi extender is higher than the signal quality score of the current location of the Wi-Fi extender, the Wi-Fi extender location optimizing module repositions the Wi-Fi extender to the candidate location to optimize Wi-Fi coverage in the home network. In other words, the Wi-Fi extender location optimizing module is adapted to identify if there exists a candidate location of the Wi-Fi extender for which the Wi-Fi coverage in the home network is optimized, and to relocate the Wi-Fi extender to this candidate location if this is the case.

[19] According to an optional aspect of the invention, the power-line extender location optimizing module is further adapted to:

- receive location data on the power-line candidate location from the location data collecting unit;

- determine a contention factor for the power-line current location;

- determine from the location data a power-line contention factor for the power-line extender candidate location; and

- compare the power-line contention factor for the power-line extender candidate location to the power-line contention factor for the power-line current location; and

- select a selected power-line extender location for which the power-line contention factor is lower than the power-line contention factor for the power-line current location; and

- reposition the power-line extender to the selected power-line extender location; and wherein the throughput assessing unit is further adapted to determine an achievable throughput between the access point and the selected power-line extender location.

[20] A power-line contention factor is indicative for the quality of coverage at a given location of the power-line extender in the home network. The power-line extender location optimizing module takes the location data remotely collected from the network devices into account when determining a power-line contention factor for a current location of the power-line extender. Additionally, the power-line extender location optimizing module takes the location data remotely collected from the network devices into account when determining a power-line contention factor for a power-line extender candidate location of the power-line extender. When the power- line contention factor of a power-line extender candidate location of the power-line extender is lower than the power-line contention factor of the power-line current location of the power-line extender, the power-line extender location optimizing module repositions the power-line extender to the power-line extender candidate location to optimize Wi-Fi coverage in the home network. In other words, the power- line extender location optimizing module is adapted to identify if there exists a power- line extender candidate location of the power-line extender for which the coverage in the home network is optimized, and to relocate the power-line extender to this power- line extender candidate location if this is the case.

[21] According to an optional aspect of the invention, the Wi-Fi extender location optimizing module is further adapted to:

- determine a scaled contention factor from the location data for the current location and for each of the candidate locations;

- for each of the candidate locations and for the current location, subtract the scaled contention factor from said Wi-Fi signal strength, thereby determining the signal quality score;

- for each of the candidate locations and for the current location, determine an argument of the maxima of the signal quality score;

- for each of the candidate locations, compare the Wi-Fi signal strength to the predefined quality score threshold; and

- select the selected location for which said Wi-Fi signal strength is higher than the predefined quality score threshold and with the highest argument of the maxima.

[22] This way, both the Wi-Fi signal strengths and the contention factor are taken into account when determining if a candidate location in the home network with higher Wi-Fi coverage exists.

[23] According to an optional aspect of the invention, the Wi-Fi coverage of the Wi- Fi extender comprises the signal quality score. [24] According to an optional aspect of the invention, the coverage of the power- line extender comprises the power-line contention factor.

[25] According to a second aspect of the invention, there is provided a method for optimizing Wi-Fi coverage in a home network comprising at least an access point, a Wi-Fi extender and a power-line extender, the method comprising the steps of:

- monitoring Wi-Fi signal strength between the access point and a current location of the Wi-Fi extender in the home network;

- determining Wi-Fi coverage of the Wi-Fi extender located at the current location and located at candidate locations in the home network different from the current location when the Wi-Fi signal strength is below a predefined signal strength threshold; and

- when the Wi-Fi coverage at all candidate locations is lower than the Wi-Fi coverage at the current location, determining coverage of the power-line extender located at power-line current location and located at a power-line extender candidate location in the home network different from the power-line current location;

- repositioning the power-line extender to the power-line extender candidate location when the coverage exceeds coverage at the power-line current location.

[26] The method according to the present invention optimizes Wi-Fi coverage in a home network. The method accounts the aggregated statistics on a network link between a current location of a Wi-Fi extender of the home network and an access point of the home network and between a current location of a power-line extender of the home network and an access point of the home network. In other words, the method according to the present invention takes into account parameters collected by an access point of the home network to optimize Wi-Fi coverage in the home network. The method further continuously monitors Wi-Fi coverage in a home network, thereby assessing Wi-Fi coverage on possible alternative locations of the Wi-Fi extender and possible alternative locations of the power-line extender, and recommending repositioning the Wi-Fi extender and/or the power-line extender when Wi-Fi coverage can be optimized. In other words, the method remotely investigates the quality of the link between a Wi-Fi extender and an access point and, through a number of logical steps, optimizes the location of the Wi-Fi extender. The optimization of Wi-Fi coverage in the home network is therefore centralized. This minimizes the equipment needed to optimize Wi-Fi coverage in a home network.

[27] The current invention in addition also relates to a computer program comprising software code adapted to perform the method according to the present invention.

[28] The invention further relates to a computer readable storage medium comprising the computer program according to the present invention.

Brief Description of the Drawings

[29] Fig. 1 schematically illustrates an embodiment of a system according to the present invention.

[30] Fig. 2 schematically illustrates an embodiment of the steps of the method according to the present invention with which Wi-Fi coverage is optimized in a home network. [31] Fig. 3 schematically illustrates results of a positive Wi-Fi coverage test for a Wi-Fi extender of a home network.

[32] Fig. 4 schematically illustrates a positive selection of a selected location for a Wi-Fi extender of a home network.

[33] Fig. 5 schematically illustrates a test wherein no selected location for a Wi-Fi extender of a home network exists.

[34] Fig. 6 schematically illustrates a positive selection of a selected power-line location for a power-line extender of a home network.

[35] Fig. 7 schematically illustrates a suitable computing system for hosting the system of Fig. 1 . Detailed Description of Embodiment(s)

[36] According to an embodiment shown in Fig. 1 , a home network 2 comprises at least a system 1 , an access point 3, a Wi-Fi extender 4, a power-line extender 5 and four networking devices 600 comprising wireless connectivity. The networking devices 600 are for example computers, laptops, smartphones, tablets, smart televisions, smart printers, etc.. The home network 2 may comprise a plurality of access points 3, of Wi-Fi extenders 4, of power-line extenders 5 and/or of networking devices 600.The Wi-Fi extender 4 is located at a current location 400 in the home network 2. The power-line extender 5 is located at a power-line current location 500 in the home network 2. The home network 2 comprises a plurality of candidate locations 401 for the Wi-Fi extender 4 different from the current location 400. The home network 2 comprises a plurality of power-line extender candidate locations 501 for the power-line extender 5 different from the power-line current location 500. The system 1 comprises a Wi-Fi signal strength monitor 10, a Wi-Fi extender location optimizing module 1 1 , a power-line extender location optimizing module 12, a throughput assessing unit 13 and a location data collecting unit 14. The location data collecting unit 14 collects location data 140 on the potential locations 401 and on the power-line extender candidate locations 501 from the networking devices 600. The location data 140 comprises one or more of the following: Wi-Fi signal strength 1 10 and a contention factor for each of the candidate locations 401 , a power-line extender contention factor for the power-line extender candidate locations 501 . The Wi-Fi signal strength monitor 10 monitors Wi-Fi signal strength 1 10 between the access point 3 and the Wi-Fi extender 4 at its current location 400. The Wi-Fi signal strength monitors 10 determines if the Wi-Fi signal strength 1 10 is below a predefined signal strength threshold. When the Wi-Fi signal strength 1 10 is above the predefined signal strength threshold at the current location 400, the throughput assessing unit 13 determines an achievable throughput 130 between the access point 3 and the current location 400. When the Wi-Fi signal strength 1 10 is below the predefined signal strength threshold, the Wi-Fi extender location optimizing module 1 1 determines Wi-Fi coverage 100 of the Wi-Fi extender 4 located at the current location 400 and located at candidate locations 401 . Wi-Fi coverage 100 comprises a signal quality score 1 1 1 . The Wi-Fi extender location optimizing module 1 1 receives the location data 140 on the candidate locations 401 from the location data unit 14. The Wi-Fi extender location optimizing module 1 1 determines from the location data 140 and particularly from the Wi-Fi signal strength 1 10 a scaled contention factor for the current location 400 and for each of the candidate locations 401 . For the current location 400 and each of the candidate locations 401 , the Wi-Fi extender location optimizing module 1 1 subtracts the scaled contention factor from the Wi-Fi signal strength 1 10, thereby determining a signal quality score 1 1 1 for the current location 400 of the Wi-Fi extender 400 and a signal quality score 1 1 1 for each of the candidate locations 401 in the home network 2. For the current location 400 and for each of the candidate locations 401 , the Wi-Fi extender location optimizing module

I I determines an argument of the maxima of the signal quality score 1 1 1 . For each of the potential locations 401 , the Wi-Fi extender location optimizing module 1 1 compares the Wi-Fi signal strength 1 10 to a predefined quality score threshold. The Wi-Fi extender location optimizing module 1 1 then selects a selection location 402 for which the Wi-Fi signal strength 1 10 is higher than the predefined quality score threshold and for which the signal quality score 1 1 1 is above the signal quality score

I I I for the current location 400, i.e. the candidate location 401 with the highest argument of the maxima of the signal quality score 1 1 1 . The Wi-Fi extender location optimizing module 1 1 then repositions the Wi-Fi extender 4 to the selected location 402. The throughput assessing unit 13 then determines an achievable throughput 130 between the access point 3 and the selected location 402. When Wi-Fi coverage 100 at all candidate locations 401 is lower than Wi-Fi coverage 100 at the current location 400, the power-line extender location optimizing module 12 determines coverage 120 of the power-line extender 5 located at the power-line current location 500 and located at a power-line extender candidate location 501 . Coverage 120 comprises a power-line contention factor 222. The power-line extender location optimizing module 12 receives location data 140 on the power-line extender candidate locations 501 from the data collecting unit 14. The power-line extender location optimizing module 12 then determines a power-line contention factor 222 for the power-line current location 500, and a power-line contention factor 222 for the power-line extender candidate location 501 . The power-line extender location optimizing module 12 compares the power-line contention factor 222 for the power- line extender candidate location 501 to the power-line contention factor 222 for the power-line current location 500 and selects a selected power-line location 502 for which the power-line contention factor 222 is lower than the power-line contention factor 222 for the power-line current location 500. The power-line extender location optimizing module 12 then repositions the power-line extender 5 to the selected power-line location 502. The throughput assessing unit 13 then determines an achievable throughput 130 between the access point 3 and the power-line selected location 502.

[37] According to an embodiment shown in Fig. 2, the method according to the present invention for optimizing Wi-Fi coverage 100 in a home network 2 comprising at least an access point 3, a Wi-Fi extender 4 and a power-line extender 5, comprises seven steps. In step 701 , a Wi-Fi signal strength 1 10 between the access point 3 and a current location 400 of the Wi-Fi extender 4 in the home network 2 is monitored. The Wi-Fi signal strength 1 10 is compared to a predefined signal strength threshold in step 702. When the Wi-Fi signal strength 1 10 is above the predefined signal strength threshold in result 707, an achievable throughput 130 between the access point 3 and the current location 400 of the Wi-Fi extender 4 is determined from the Wi-Fi signal strength 1 10. When the Wi-Fi signal strength 1 10 is below the predefined signal strength threshold in result 708, Wi-Fi coverage 100 of the Wi-Fi extender 4 is determined in step 703 at the current location 400 and at candidate locations 401 in the home network 2 different from the current location 400. Wi-Fi coverage 100 on the current location 400 and on the candidate locations 401 is determined from location data 140 collected from networking devices of the home network 2. In step 704, Wi-Fi coverage 100 of the Wi-Fi extender 4 located at each candidate locations 401 is compared to Wi-Fi coverage 100 of the Wi-Fi extender 4 located at the current location 400. When Wi-Fi coverage 100 at a candidate location 401 is higher than Wi-Fi coverage 100 at the current location 400 in result 709, an achievable throughput 130 between the access point 3 and this potential location 401 of the Wi-Fi extender 4 is determined from the Wi-Fi signal strength 1 10. When Wi-Fi coverage 100 at all candidate locations 401 is lower than Wi-Fi coverage 100 at the current location 400 in result 710, coverage 120 of the power-line extender 5 located at a power-line current location 500 and located at a power-line extender candidate location 501 in the home network 2 is determined in step 705. When coverage 120 at the power-line extender candidate location 501 exceeds coverage 120 at the power- line current location 500, the power-line extender is repositioned to this power-line extender candidate location 501 .

[38] Plot 103 of Fig. 3 schematically represents a distribution of Wi-Fi signal strengths 1 10 between an access point and a Wi-Fi extender in a home network over time 101 . The graph 105 represents the Wi-Fi signal of the access point at 2.4GHz, while the graph 106 represents the Wi-Fi signal of the access point at 5GHz. The plot 104 of Fig. 3 schematically illustrates a number of samples 102 at 2.4GHz of the Wi- Fi signal strength 1 10. 80% of the number of samples 102 of the Wi-Fi signal strength 1 10 at 2.4GHz is higher than a predefined signal strength threshold equal to -55dBm in Fig. 3. The location of the Wi-Fi extender is therefore not modified, and an achievable throughput can then be calculated from the Wi-Fi signal strength 1 10 at 2.4GHz. According to an alternative embodiment, the amount of samples 102 of the Wi-Fi signal strength 1 10 that is required to comply with the predefined signal strength threshold is higher than 80%.

[39] Fig. 4 schematically illustrates Wi-Fi coverage 100 and a contention factor 121 for a current location 400 labelled 1 of a Wi-Fi extender in a home network and for two candidate locations 401 labelled 2 and 3 of the Wi-Fi extender in the home network. Plot 107 of Fig. 4 represents Wi-Fi coverage 100 in function of a contention factor 121 for the current location 400 labelled 1 and for the two candidate locations 401 labelled 2 and 3. Plot 108 of Fig. 4 represents a signal quality score 1 1 1 for the current location 400 labelled 1 and for each of the candidate locations 401 labelled 2 and 3 of the Wi-Fi extender in the home network. The signal quality score 1 1 1 labelled 51 of current location 400 labelled 1 and the signal quality score 1 1 1 labelled 52 of candidate location 401 labelled 2 are lower than the signal quality score 1 1 1 labelled 53 of potential location 401 labelled 3. Therefore, recommendation 800 states to reposition the Wi-Fi extender to candidate location 401 labelled 3. The potential location 401 labelled 3 then becomes the selected location for the Wi-Fi extender.

[40] Fig. 5 schematically illustrates Wi-Fi coverage 100 and a contention factor 121 for a current location 400 labelled 1 of a Wi-Fi extender in a home network and for two candidate locations 401 labelled 2 and 3 of the Wi-Fi extender in the home network. Plot 107 of Fig. 5 represents Wi-Fi coverage 100 in function of a contention factor 121 for the current location 400 labelled 1 and for the two candidate locations 401 labelled 2 and 3. Plot 108 of Fig. 5 represents a signal quality score 1 1 1 for the current location 400 labelled 1 and for each of the candidate locations 401 labelled 2 and 3 of the Wi-Fi extender in the home network. The signal quality score 1 1 1 labelled 51 of current location 400 labelled 1 is higher than the signal quality score 1 1 1 labelled 52 of candidate location 401 labelled 2 and higher than the signal quality score 1 1 1 labelled 53 of candidate location 401 labelled 3. Therefore, recommendation 800 states that no optimal potential location 401 has been determined for the Wi-Fi extender in the home network, and that a power-line extender of the home network must be repositioned.

[41] Fig. 6 schematically illustrates a power-line contention factor 222 for a current location 500 labelled 1 of a power-line extender in a home network and for two power-line extender candidate locations 501 labelled 2 and 3 of the power-line extender in the home network. Plot 109 of Fig. 6 represents the power-line contention factor 222 for the power-line current location 500 labelled 1 and for each of the power-line extender potential locations 501 labelled 2 and 3 of the power-line extender in the home network. The power-line contention factor 222 for the power- line current location 500 labelled 1 is lower than the power-line contention factor 222 for the power-line extender candidate locations 501 labelled 2 and 3.. Therefore, recommendation 800 states that the power-line extender of the home network must be at the power-line current location 500 labelled 1 . The power-line extender current location 500 labelled 1 then becomes the power-line selected location for the power- line extender.

[42] Fig. 7 shows a suitable computing system 800 for hosting the system 1 of Fig. 1 . Computing system 900 may in general be formed as a suitable general purpose computer and comprise a bus 910, a processor 902, a local memory 904, one or more optional input interfaces 914, one or more optional output interfaces 916 a communication interface 912, a storage element interface 506 and one or more storage elements 908. Bus 910 may comprise one or more conductors that permit communication among the components of the computing system. Processor 902 may include any type of conventional processor or microprocessor that interprets and executes programming instructions. Local memory 904 may include a random access memory (RAM) or another type of dynamic storage device that stores information and instructions for execution by processor 902 and/or a read only memory (ROM) or another type of static storage device that stores static information and instructions for use by processor 904. Input interface 914 may comprise one or more conventional mechanisms that permit an operator to input information to the computing device 900, such as a keyboard 920, a mouse 930, a pen, voice recognition and/or biometric mechanisms, etc. Output interface 916 may comprise one or more conventional mechanisms that output information to the operator, such as a display 940, a printer 950, a speaker, etc. Communication interface 912 may comprise any transceiver-like mechanism such as for example two 1 Gb Ethernet interfaces that enables computing system 900 to communicate with other devices and/or systems, for example mechanisms for communicating with one or more other computing systems 50. The communication interface 912 of computing system 900 may be connected to such another computing system by means of a local area network (LAN) or a wide area network (WAN, such as for example the internet, in which case the other computing system 980 may for example comprise a suitable web server. Storage element interface 906 may comprise a storage interface such as for example a Serial Advanced Technology Attachment (SATA) interface or a Small Computer System Interface (SCSI) for connecting bus 910 to one or more storage elements 908, such as one or more local disks, for example 1 TB SATA disk drives, and control the reading and writing of data to and/or from these storage elements 908. Although the storage elements 908 above is described as a local disk, in general any other suitable computer-readable media such as a removable magnetic disk, optical storage media such as a CD or DVD, -ROM disk, solid state drives, flash memory cards, ... could be used. The system 900 described above can also run as a Virtual Machine above the physical hardware.

[43] The system 1 of Fig. 1 can be implemented as programming instructions stored in local memory 904 of the computing system 900 for execution by its processor 902. Alternatively system 1 of Fig. 1 could be stored on the storage element 908 or be accessible from another computing system 50 through the communication interface 912. [44] Although the present invention has been illustrated by reference to specific embodiments, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied with various changes and modifications without departing from the scope thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. In other words, it is contemplated to cover any and all modifications, variations or equivalents that fall within the scope of the basic underlying principles and whose essential attributes are claimed in this patent application. It will furthermore be understood by the reader of this patent application that the words "comprising" or "comprise" do not exclude other elements or steps, that the words "a" or "an" do not exclude a plurality, and that a single element, such as a computer system, a processor, or another integrated unit may fulfil the functions of several means recited in the claims. Any reference signs in the claims shall not be construed as limiting the respective claims concerned. The terms "first", "second", third", "a", "b", "c", and the like, when used in the description or in the claims are introduced to distinguish between similar elements or steps and are not necessarily describing a sequential or chronological order. Similarly, the terms "top", "bottom", "over", "under", and the like are introduced for descriptive purposes and not necessarily to denote relative positions. It is to be understood that the terms so used are interchangeable under appropriate circumstances and embodiments of the invention are capable of operating according to the present invention in other sequences, or in orientations different from the one(s described or illustrated above.

Claims

1 . A system (1 ) for optimizing Wi-Fi coverage (100) in a home network (2) comprising at least said system (1 ), an access point (3), a Wi-Fi extender (4) and a power-line extender (5), said system (1 ) comprising:

- a Wi-Fi signal strength monitor (10) adapted to monitor Wi-Fi signal strength (1 10) between said access point (3) and a current location (400) of said Wi-Fi extender (4) in said home network (2);

- a Wi-Fi extender location optimizing module (1 1 ) adapted to determine Wi-Fi coverage (100) of said Wi-Fi extender (4) located at said current location (400) and located at candidate locations (401 ) in said home network (2) different from said current location (400) when said Wi-Fi signal strength (1 10) is below a predefined signal strength threshold; and

- a power-line extender location optimizing module (12) adapted to:

o when said Wi-Fi coverage (100) at all candidate locations (401 ) is lower than said Wi-Fi coverage (100) at said current location (400), determine coverage (120) of said power-line extender (5) located at power-line current location (500) and located at a power-line extender candidate location (501 ) different in said home network (2) from said power current location (500); and

o reposition said power-line extender (5) to said power-line extender candidate location (501 ) when said coverage (120) exceeds coverage (120) at said power-line current location (500).

2. A system (1 ) according to claim 1 , wherein said system (1 ) further comprises a throughput assessing unit (13) adapted to determine from said Wi-Fi signal strength (1 10) an achievable throughput (130) between said access point (3) and said current location (400) of said Wi-Fi extender (4).

3. A system (1 ) according to claim 1 , wherein said system (1 ) further comprises a location data collecting unit (14) adapted to collect location data (140) on said candidate locations (401 ) and on said power-line extender candidate location (501 ).

4. A system (1 ) according to claim 3, wherein said location data (140) comprises one or more of the following:

- said Wi-Fi signal strength (1 10) and a contention factor (121 ) for each of said candidate locations (401 );

- a power-line extender contention factor (1 13) for said power-line extender candidate location (501 ).

5. A system (1 ) according to claim 3, wherein said Wi-Fi extender location optimizing module (1 1 ) is further adapted to:

- receive location data (140) on said candidate locations (401 ) from said location data collecting unit (14);

- determine from said Wi-Fi signal strength (1 10) a signal quality score (1 1 1 ) for said current location (400);

- determine from said location data (140) a signal quality score (1 1 1 ) for each of said candidate locations (401 );

- compare each of said signal quality scores (1 1 1 ) to a predefined quality score threshold;

- select a selected location (402) for which said signal quality score (1 1 1 ) complies with said predefined quality score threshold and for which said signal quality score (1 1 1 ) is above said signal quality score (1 1 1 ) for said current location (400); and

- reposition said Wi-Fi extender (4) to said selected location (402);

and wherein said throughput assessing unit (13) is further adapted to determine an achievable throughput (130) between said access point (3) and said selected location (402).

6. A system (1 ) according to claim 3, wherein said power-line extender location optimizing module (12) is further adapted to:

- receive location data (140) on said power-line extender candidate location (501 ) from said location data collecting unit (14);

- determine a power-line contention factor (222) for said power-line current location (500);

- determine from said location data (140) a power-line contention factor (222) for said power-line extender candidate location (501 ); and - compare said power-line contention factor (222) for said power-line extender candidate location (501 ) to said power-line contention factor (222) for said power- line current location (500); and

- select a selected power-line location (502) for which said power-line contention factor (222) is lower than said power-line contention factor (222) for said power- line current location (500); and

- reposition said power-line extender (5) to said selected power-line location (502); and wherein said throughput assessing unit (13) is further adapted to determine an achievable throughput (130) between said access point (3) and said selected power- line location (502).

7. A system (1 ) according to claim 5 wherein said Wi-Fi extender location optimizing module (1 1 ) is further adapted to:

- determine a scaled contention factor (223) from said location data (140) for said current location (400) and for each of said candidate locations (401 );

- for each of said candidate locations (401 ) and for said current location (400), subtract said scaled contention factor (223) from said Wi-Fi signal strength (1 10), thereby determining said signal quality score (1 1 1 );

- for each of said candidate locations (401 ) and for said current location (400), determine an argument of the maxima of said signal quality score (1 1 1 );

- for each of said candidate locations (401 ), compare said Wi-Fi signal strength (1 10) to said predefined quality score threshold; and

- select said selected location (402) for which said Wi-Fi signal strength (1 10) is higher than said predefined quality score threshold and with the highest argument of the maxima.

8. A system (1 ) according to claim 7 wherein said Wi-Fi coverage (100) of said Wi-Fi extender (4) comprises said signal quality score (1 1 1 ).

9. A system (1 ) according to claim 6, wherein said coverage (120) of said power-line extender (5) comprises said power-line contention factor (222).

10. A method for optimizing Wi-Fi coverage (100) in a home network (2) comprising at least an access point (3), a Wi-Fi extender (4) and a power-line extender (5), said method comprising the steps of:

- monitoring Wi-Fi signal strength (1 10) between said access point (3) and a current location (400) of said Wi-Fi extender (4) in said home network (2);

- determining Wi-Fi coverage (100) of said Wi-Fi extender (4) located at said current location (400) and located at candidate locations (401 ) in said home network (2) different from said current location (400) when said Wi-Fi signal strength (1 10) is below a predefined signal strength threshold; and

- when said Wi-Fi coverage (100) at all candidate locations (401 ) is lower than said Wi-Fi coverage (100) at said current location (400), determining coverage (120) of said power-line extender (5) located at power-line current location (500) and located at a power-line extender candidate location (501 ) in said home network (2) different from said power current location (500);

- repositioning said power-line extender (5) to said power-line extender candidate location (501 ) when said coverage (120) exceeds coverage (120) at said power- line current location (500).

1 1 . A computer program comprising software code adapted to perform the method according to claim 10.

12. A computer readable storage medium comprising computer-executable instructions which, when executed by a computing system, perform a method according to claim 10.