WO2021182932A1 - Procédés et systèmes d'identification d'un emplacement et de rendu pour une installation de fwa - Google Patents

Procédés et systèmes d'identification d'un emplacement et de rendu pour une installation de fwa Download PDF

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Publication number
WO2021182932A1
WO2021182932A1 PCT/KR2021/003181 KR2021003181W WO2021182932A1 WO 2021182932 A1 WO2021182932 A1 WO 2021182932A1 KR 2021003181 W KR2021003181 W KR 2021003181W WO 2021182932 A1 WO2021182932 A1 WO 2021182932A1
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Prior art keywords
location
cpe
optimal location
locations
installation
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PCT/KR2021/003181
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English (en)
Inventor
Akhil Madan Panchabhai
Vijay Kumar Mishra
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Samsung Electronics Co., Ltd.
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Publication of WO2021182932A1 publication Critical patent/WO2021182932A1/fr

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/08Protocols specially adapted for terminal emulation, e.g. Telnet
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • H04W16/20Network planning tools for indoor coverage or short range network deployment
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/33Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings

Definitions

  • the present disclosure relates to methods and systems for installation of FWA devices such as CPE and more particularly for CPE installations in respect of 3GPP-NR networks.
  • Customer premises equipment (CPE) for 3GPP networks such as fifth generation (5G)-new radio (NR) devices are known to be mounted at a stationary location within a premises wherein network-reception is optimum.
  • CPE Customer premises equipment
  • 5G fifth generation
  • NR new radio
  • 5G-NR beam and signal strength are strongest.
  • 5G-CPE power cord length and home-aesthetics are the other main factors that are taken into account before finalizing the point for CPE installation at the premises.
  • a method for determining a location of an installation of a radio equipment comprises determining geographical information of premises comprising of a plurality of locations, determining a signal strength and a plurality of dimensions associated with each of the locations, identifying an optimal location from the plurality of locations for the installation of the radio equipment within the premises based on a ranking criteria, and rendering the identified optimal location.
  • an apparatus for determining a location of an installation of a radio equipment comprises a memory, a transceiver, and at least one processor coupled to the memory and the transceiver, wherein the at least one processor is configured to determine geographical information of premises comprising of a plurality of locations, determine a signal strength and a plurality of dimensions associated with each of the locations, identify an optimal location from the plurality of locations for the installation of the radio equipment within the premises based on a ranking criteria, and render the identified optimal location.
  • FIGS. 1A and 1B illustrate a network environment including a FWA device such as a 5G CPE or any other analogous device for providing 5G services, in accordance with the present invention
  • FIG. 2 illustrates a CPE locator engine for identifying the most optimal location for installation of the 5G CPE or any other analogous device, in accordance with the present invention
  • FIGS. 3A and 3B illustrate an environment including the CPE locator engine receiving indoor maps and generating an output indicating the most optimal location for installation, in accordance with the present invention
  • Figure 4 illustrates an environment including the CPE locator engine receiving an indoor map created by a measurement application and generating an output indicating the most optimal location for installation, in accordance with the present invention
  • Figure 5 illustrates an environment including the CPE locator engine receiving 5G-NR signal strength heat map and generating an output indicating the most optimal location for installation, in accordance with the present invention
  • FIGS. 6A and 6B illustrates an environment including the CPE locator engine receiving power outlet locations and distances measured and generating an output indicating the best point for installation, in accordance with the present invention
  • Figure 7 illustrates an environment including the CPE locator engine receiving barcode scan, CPE dimension, color, texture, other physical details, and CPE power-cord length for generating an output indicating the best point for installation, in accordance with the present invention
  • Figure 8 illustrates an environment including the CPE locator engine receiving a number of inputs and generating an output indicating the most optimal location for installation, in accordance with the present invention
  • Figures 9A, 9B, 9C, 9D and 9E illustrate depicting through AR display the most optimal location at user premises, in accordance with the present invention using any tethered device such as a smartphone display, AR/VR device etc;
  • Figure 10 illustrates AR-enabled visualization of the 5G CPE or any other analogous device in optimal location in accordance with the embodiment of the invention
  • FIG. 11 shows an example implementation in accordance with the embodiment of the invention.
  • Figure 12 illustrates an example output of a CPE Locator Engine using mobile device
  • Figure 13 illustrates an example output of a CPE Locator Engine using AR/VR device
  • any terms used herein such as, “includes,” “comprises,” “has,” “consists,” and similar grammatical variants do not specify an exact limitation or restriction, and certainly do not exclude the possible addition of one or more features or elements, unless otherwise stated. Further, such terms must not be taken to exclude the possible removal of one or more of the listed features and elements, unless otherwise stated, for example, by using the limiting language including, but not limited to, “must comprise” or “needs to include.”
  • phrases and/or terms including, but not limited to, "a first embodiment,” “a further embodiment,” “an alternate embodiment,” “one embodiment,” “an embodiment,” “multiple embodiments,” “some embodiments,” “other embodiments,” “further embodiment”, “furthermore embodiment”, “additional embodiment” or other variants thereof do not necessarily refer to the same embodiments.
  • one or more particular features and/or elements described in connection with one or more embodiments may be found in one embodiment, or may be found in more than one embodiment, or may be found in all embodiments, or may be found in no embodiments.
  • FIGS 1A and 1B illustrate a network environment including a FWA device such as a 5G CPE or any other analogous device for providing 5G services, in accordance with the present invention.
  • a FWA device such as a 5G CPE or any other analogous device for providing 5G services, in accordance with the present invention.
  • Fig. 1A illustrates a method implemented for determining a location of an installation of a radio equipment, a consumer premise equipment (CPE) or any other analogous device in an area.
  • the method comprises determining (step 102a) geographical information of premises comprising a plurality of locations and determining (step 102b) a signal strength and a plurality of dimensions associated with each of the locations.
  • the steps 102a and 102b collectively represent receiving one or more inputs within premises as at least one of: a signal-strength; a geographical information of a location within the premises; and dimensions associated with the location.
  • the signal strength is defined by a 5G-NR signal strength received at the CPE or an external device tethered to the CPE or any other radio device similar to the CPE.
  • the geographical information corresponds to predefined indoor maps or an indoor map generated in real-time with respect to the premises.
  • the receiving of one or more inputs comprises receiving an indoor-map generated in real-time from an in-built or a third party application.
  • the dimensions associated with the location correspond to distance inputs and earmarked points captured from an imaging device defined by one or more of: an infrared imaging in respect of the plurality of locations within the premise.
  • the imaging may be, bar code scanning, QR code scanning associated with the radio equipment.
  • the dimensions associated with the location comprise relative-distances at the location with respect to power outlets within the premises and a power-cord length and dimensions associated with the CPE.
  • the distances may be determined through one or more imaging techniques.
  • the method comprises identifying (step 104) an optimal location from the plurality of locations for the installation of the radio equipment such as the CPE installation within the premises based on a ranking criteria.
  • the identification of the location further comprises interacting with a cloud-server or a distributed database for facilitating the identification of the optimal location.
  • identifying the optimal location based on the ranking criteria is comprises ranking the plurality of locations based on the geographical information, each of the signal strength and plurality of dimensions and identifying at least one location ranked higher than the other locations among the plurality of locations as the optimal location.
  • the method comprises rendering (step 106) the identified optimal location through displaying and thereby enabling navigation to reach the identified optimal location.
  • the rendering of the identified optimal location comprises rendering a display showing the CPE device or a tethered device to the CPE. Thereafter, a display of the installation location is displayed through an actual display of the identified optimal location, and a simulated display rendered through simulation of the CPE at the identified optimal location as an augmented reality (AR) display or virtual reality (VR) display. Based thereupon, navigation to the preferred installation location is facilitated.
  • AR augmented reality
  • VR virtual reality
  • the rendering of the identified location comprises representing distribution of a 5G signal corresponding to strong, moderate and weak strength at one or more identified locations within the premises, the distribution represented through one or more of a 3 dimensions (3D) or 2 dimensions (2D) layout of the premises with different intensities, heat-map, image-rasterization, histograms.
  • 3D 3 dimensions
  • 2D 2 dimensions
  • Fig. 1B illustrates a network environment 100 for providing services using a beam-based radio network such as a 5G network.
  • the network environment 100 includes a 5G CPE, a number of User Equipment (UE) connected to the 5G CPE, and a 5G NR providing services to the 5G CPE.
  • the 5G CPE is capable of providing fixed wireless access (FWA) to the UEs.
  • the 5G CPE includes a 5G enabled modem connected to 5G-NR network such as sub6, mmWave capable network or the like.
  • the 5G CPE further includes a Wi-Fi router capable of providing the 5G connectivity as Wi-Fi network.
  • the UE may connect to the 5G CPE through the Wi-Fi network of the Wi-Fi router and receive 5G speeds irrespective of capabilities of the UE for receiving 5G speeds.
  • the 5G CPE is capable of working with existing NR infrastructure without and network side modifications.
  • the 5G CPE provides 5G speeds to Non-5G UE along with the UE capable of receiving 5G speeds resulting in further extending reach of 5G-NR network to further users and contributes to higher utilisation of existing 5G Infrastructure.
  • the 5G CPE may further replace Wifi routers (with Ethernet backend) in remote areas with no cable coverage.
  • the CPE may not follow a split-configuration as shown in Fig. 1 and instead may be stand-alone monolithic-device having the modem and router integral to each-other as a single off the shelf product.
  • FIG. 2 illustrates a CPE locator engine for identifying the most optimal location for installation of the 5G CPE or any other analogous device, in accordance with the present invention.
  • a CPE locator engine 200 is capable of identifying the most optimal location for the installation of the 5G CPE of the network environment 100.
  • the CPE locator engine 200 can run on the CPE itself, or on any device tethered to the CPE.
  • the CPE locator engine 200 may identify the most optimal location for the installation based on a number of inputs.
  • the inputs to the CPE locator engine may constitute one or a plurality of below factors: 5G-NR signal strength (either from CPE device itself, or from Dynamic measurements app on a tethered device or from a server), Indoor maps (if available), Distance inputs and specific bookmarked locations taken from a ToF or other camera mapping unit, Bar code scan to get details such as CPE color, dimensions, power cord length etc.
  • 5G-NR signal strength either from CPE device itself, or from Dynamic measurements app on a tethered device or from a server
  • Indoor maps if available
  • Distance inputs and specific bookmarked locations taken from a ToF or other camera mapping unit Bar code scan to get details such as CPE color, dimensions, power cord length etc.
  • the CPE locator engine 200 identifies the most optimal location for CPE Installation and renders it within the Display Unit of a tethered smart device or a feature-phone having a display screen and a camera.
  • the installation location may also be rendered through simulation of the CPE at the exact location within the premises as an augmented or virtual reality through an AR/VR device (like oculus, etc.) or simply through the smart device.
  • the engine may also assist the user or a technician in navigating the way towards the preferred installation location using audio-visual or other tactile guides.
  • the CPE locator engine 200 may reside on the CPE or on a tethered UE (e.g. smart device, feature-phone) as an app/fwk or at the AR-VR device.
  • the CPE locator may partly reside at the UE for gathering input and rendering results and partly reside at the cloud server (i.e. remote sever or MEC server) for computational purposes.
  • the engine 200 may be executed locally or through a client-server architecture.
  • CPE locator engine 200 takes into account user aesthetics and draws a simulation as to how the CPE upon installation may appear in user-premises, before actual- installation.
  • CPE locator engine 200 enhances the process of 5G CPE installation by taking into account multiple factors for better user-experience in terms of merits as well as aesthetics, thereby augmenting performance and providing an ease of installation.
  • Figures 3A and 3B illustrate an environment including the CPE locator engine receiving indoor maps and generating an output indicating the most optimal location for installation, in accordance with the present invention.
  • Fig. 3A illustrates an environment 300 including the CPE locator engine 200 for selecting best location for installation of the 5G CPE at user premises.
  • the CPE locator engine 200 may be installed in the UE and determines the best location for the installation based on an input such as indoor map of the user premises.
  • the CPE locator engine 200 receives the pre-defined indoor maps (e.g. a public place such as a museum).
  • Fig. 3B illustrates an operation of tracking a best-signal location based on AR.
  • the user launches an application and as a part of traversal, the user moves around the house.
  • the device adds signal strength (SS) with color-coded tags.
  • SS signal strength
  • the user is shown NR measurements, path taken etc.
  • the user can "Save Location” for some places as per their preference. Snapshot of that place can be saved.
  • a 2D-Top view of the traversed path is shown to the user as Picture-In-Picture (PIP). Saved places are also shown in 2D representation as well as using AR Main View.
  • the CPE locator engine 200 can suggest the best point among all saved locations by the user. Accordingly, the user may see a snapshot of "Saved Locations" and finalize the place of installation based on the displayed information.
  • Figure 4 illustrates an environment including the CPE locator engine receiving an indoor map created by a measurement application and generating an output indicating the most optimal location for installation, in accordance with the present invention.
  • an environment 400 includes the CPE locator engine 200 and refers an environment wherein pre-defined indoor maps are not available, for example a neighbourhood house serving as a private accommodation.
  • a state of the art application e.g. QuickMeasure App
  • the application may be executed based on in-built camera of the device and thereby capture a layout or map of the house in two or three dimensions.
  • FIG. 5 illustrates an environment including the CPE locator engine receiving 5G-NR signal strength heat map and generating an output indicating the most optimal location for installation, in accordance with the present invention
  • an environment 500 includes the CPE locator engine 200.
  • the CPE locator engine 200 receives 5G-NR signal strength.
  • the 5G signal may be represented as a distribution of strong, moderate and weak strength within the layout of the premises through the heat map.
  • the heat map is localized within the layout of the indoor map such that color-coded zones depict different signal conditions - as an example, red zones within the layout depict FULL strength, yellow depicts moderate and blue strength refers the weak strength.
  • other measures of showing signal strength distribution may be adopted such as image-rasterization, histograms etc.
  • Figures 6A and 6B illustrates an environment including the CPE locator engine receiving power outlet locations and distances measured and generating an output indicating the best point for installation, in accordance with the present invention.
  • Figure 6A illustrates an environment 600 including the CPE locator engine 200.
  • the CPE locator engine 200 receives power outlet locations and relative-distances within the premises measured through camera and a state of the art mobile-device application.
  • the power outlet detection and distance-calculation may be performed in parallel with along with the procedures depicted in Fig. 4 and Fig. 5 and yet provide separate output data.
  • Location A there locations may be contemplated as Location A, Location B, and Location C having signal strength as -100 dBm, - 90 dBm, and -80 dBm respectively.
  • the Location A, Location B, and Location C have proximity to the power outlet as 4 meters, 3 meters and 2 meters respectively.
  • the ranking criteria ranks Location C as 1st, Location B as 2nd and Location 3rd. Location A will be then identified as the optimal location.
  • the ranking criteria may be construed to find a balance from amongst the plurality of dimensions to identify the rankings. Also, the ranking criteria may also learn the plurality of dimensions over a period of time to learn a change in each dimension and an average value of each dimension to make an efficient decision making for an optimal location.
  • Fig. 6B illustrates receiving best-signal location.
  • an example Smartphone App may be provided to help determine optimal CPE placement (or any other radio device).
  • the Application guides user to do a walk-through of various rooms within the residence.
  • the Application provides visual cues using AR on path taken by user along the residence / rooms.
  • the AR-enabled 5G signal measurements along the path are provided and a facility to bookmark or save or take picture of user-preferred points is provided.
  • the power-outlet points are bookmarked. Whether it is a user-chosen location or nearest power outlet match length of electric cable that comes in the box, the same is automatically calculated.
  • the rendering of the identified location through the augmented reality (AR) display comprises accessing one or more of spatial co-ordinates of the location and one or more received network parameters.
  • An augmented reality display is generated by annotating the location with an AR flag or one or more graphical user interface (GUI) elements based on accessed coordinates and the network parameters. Thereafter, the display of one or more optimal locations for the radio equipment installations is shown through the generated AR display denoted by the AR flag and the one or more graphical user interface (GUI) elements.
  • GUI graphical user interface
  • An auto-curated list of "optimal" CPE locations is provided to user.
  • An AR-render of CPE is executed on a chosen location. Additionally, this App can be part of larger ecosystem. Other example advantages may be:
  • Figure 7 illustrates an environment including the CPE locator engine receiving barcode scan, CPE dimension, color, texture, other physical details, and CPE power-cord length for generating an output indicating the best point for installation, in accordance with the present invention.
  • an environment 700 includes the CPE locator engine 200.
  • the CPE locator engine 200 receives bar code scan from CPE Box for getting power cord length and CPE unit dimensions and color as an input.
  • Figure 8 illustrates an environment including the CPE locator engine receiving a number of inputs and generating an output indicating the most optimal location for installation, in accordance with the present invention.
  • an environment 800 includes the CPE locator engine 200.
  • the CPE locator engine 200 receives multiple inputs including indoor maps, power outlet locations and distances measured, 5G-NR signal strength heat map, and indoor map created by a measurement application and generates an output indicating the best point for installation of the 5G CPE on the display of the UE.
  • the inputs received by the CPE locator engine may be classified as follows:
  • 5G-NR signal strength from one or a plurality of below inputs such as from CPE measurements, from Dynamic measurements app on a tethered device or from a server input
  • the CPE locator engine 200 Based thereupon, the CPE locator engine 200 generates an output indicating the most optimal location for installation of the 5G CPE on the display a tethered device.
  • the rendering of the layout (e.g. heat map or a distribution map) based display comprises accessing one or more of spatial co-ordinates of the location and one or more received network parameters. Thereafter, the layout is generated in 2D or 3D of the location defined by different intensities, the intensities depicting the varying network coverage at the location based on the accessed coordinates and the network parameters.
  • Figures 9A, 9B, 9C, 9D and 9E illustrate depicting through AR display the most optimal location at user premises, in accordance with the present invention using any tethered device such as a smartphone display, AR/VR device etc.
  • Figure 9A illustrates an environment 900 including the UE and the CPE locator engine 200.
  • Fig. 9A in an example relates to employment of augmented reality/virtual reality (AR/VR) device as the executor of the CPE locator engine 200.
  • the UE or the AR/VR device includes a display-unit to augment an output generated by the CPE locator engine 200.
  • the output indicates the best-point for installation of the 5G CPE.
  • the AR/VR device may execute the locator engine 200 locally or may coordinate with a remote cloud server through internet. Likewise, AR/VR device may also render navigation facility for arriving at the best location. Likewise, any smart device whether locally or in connection with a remote-server through internet/intranet executes the same functionality as that of the AR/VR device.
  • the CPE locator engine 200 may be executed in form of stand-alone device or through internet/intranet/cloud computing based client-server architecture.
  • the stand-alone device may be any smartphone or AR/VR device.
  • the client server architecture comprises any type of UE (smartphone, feature-phone or AR/VR device) interacting with a client server.
  • Fig. 9B illustrates a post installation support and ancillary features.
  • IOT-Hub This may manage IOT Devices which are communicating with CPE.
  • Router Configuration and Statistics This can work with CPE and provide means for Router Configurations. These include Novel config items like "LTE-Only mode/NR-Sub-6 Mode/NR-mmWave Mode”, “Max Tx Power control”, “Radiation Control”,etc.
  • CPE being new kind of device for customers, there can be many issues w.r.t the device or the gaps in understanding of customer.
  • the present may provide can be one stop shop for customer information Knowledge Base, training, tutorial, and guidance on how to identify and troubleshoot out of any issue.
  • Fig. 9C illustrates an example operation in accordance with the present subject matter. A sequential flow has been shown in form of step numbers 1 to 10 in Fig. 9C.
  • Step 1 relates to gathering of a signal-strength.
  • the signal strength is defined by a 5G-NR signal strength receivable by the radio equipment or an external device tethered to the equipment, the radio equipment corresponding to a customer premise equipment (CPE) or a device analogous to the CPE.
  • CPE customer premise equipment
  • Step 2 relates to gathering of dimensions associated with the location such as a power-cord length and dimensions associated with the CPE through an imaging device defined by one or more of: an infrared imaging, bar code scanning, QR code scanning.
  • Step 3 relate to determining dimensions associated with the location such as relative-distances at the location with respect to power outlets within the premises. Such distances may be determined through one or more imaging techniques.
  • Step 4 relates to gathering the geographical information corresponds to predefined indoor maps or an indoor map generated in real-time with respect to the premises.
  • the same comprises receiving of one or more inputs comprises receiving an indoor-map generated in real-time from an in-built or a third party application.
  • Step 5 and 6 relate to processing of inputs received in steps 1 to 4. Steps 1 to 6 collectively corresponds to step 102 of Fig. 1
  • Step 7 corresponds to step 104 of Fig. 1 and illustrates determining CPE or analogous device installation locations based in processing in steps 5 and 6.
  • the thresholds or strictness associated with the installation location determination criteria are relaxed to determine locations with relaxed criteria and attain success.
  • Step 8 related to operation of AR rendering module.
  • the same comprises accessing one or more of spatial co-ordinates of the location and one or more received network parameters and generating an augmented reality display by annotating the location with an AR flag or one or more graphical user interface (GUI) elements.
  • GUI graphical user interface
  • one or more of spatial co-ordinates of the location and one or more received network parameters may be accessed to generate a layout based display in 3D or 2D.
  • Step 9 relates to gathering of live images captured by the imaging device of the smartphone.
  • Step 10 corresponds to step 106 of Fig. 1A and relates to rendering the identified location through displaying and thereby enabling navigation to reach the identified location.
  • the rendering of the identified location comprises exhibiting display of the installation location through an actual display of location, and a simulated display rendered through simulation of the CPE at the identified location as an augmented or virtual reality display.
  • a display of one or more optimal locations for the radio equipment installations is rendered through the generated AR display denoted by the AR flag and the one or more graphical user interface (GUI) elements.
  • GUI graphical user interface
  • a layout based display may be rendered by generating a layout in 2D or 3D of the location defined by different intensities, the intensities depicting the varying network coverage at the location. Further, navigation to the preferred installation location is facilitated.
  • Figure 9D illustrates an example CPE Locator Engine and a corresponding operation.
  • the present figures illustrates an example Bar Code scan feature diagram as a part of operation wherein based on a CPE Model ID, the dimensions, power cable length, IDU/ODU type & color of the CPE are accessed based on bar code scanning.
  • Figure 9E illustrates an AR-render of CPE with exact dimensions. More specifically, the present figure refers navigating towards identified installation point. At the Identified installation point, the CPE visualisation is rendered at.
  • Figure 10 illustrates AR-enabled visualization of the 5G CPE or any other analogous device in optimal location in accordance with the embodiment of the invention.
  • AR-enabled visualization of the 5G CPE in optimal location is based on the inputs such as indoor maps, power outlet locations and distances measured, a unique AR method to determine location with best 5G Signal Strength, 5G-NR signal strength heat map, and indoor map or any other layout created by a measurement application.
  • Figure 11 shows an example implementation in accordance with the embodiment of the invention, and yet another typical hardware configuration of the CPE and the networking environment in preceding figures in the form of a computer-system and architecture 1100.
  • the computer system 1100 can include a set of instructions that can be executed to cause the computer system 1100 to perform any one or more of the methods disclosed.
  • the computer system 1000 may operate as a standalone-device or may be connected, e.g., using a network, to other computer systems or peripheral devices.
  • the computer system 1100 may operate in the capacity of a server or as a client user computer in a server-client user network environment, or as a peer computer system in a peer-to-peer (or distributed) network environment.
  • the computer system 1100 can also be implemented as or incorporated across various devices, such as a personal computer (PC), a tablet PC, a personal digital assistant (PDA), a mobile device, a palmtop computer, a laptop computer, a desktop computer, a communications device, a wireless telephone, a land-line telephone, a web appliance, a network router, switch or bridge, or any other machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine.
  • PC personal computer
  • PDA personal digital assistant
  • a mobile device a palmtop computer
  • laptop computer a laptop computer
  • a desktop computer a communications device
  • wireless telephone a land-line telephone
  • web appliance a web appliance
  • network router switch or bridge
  • the computer system 1100 may include a processor 1102 e.g., a central processing unit (CPU), a graphics processing unit (GPU), or both.
  • the processor 1102 may be a component in a variety of systems.
  • the processor 1102 may be part of a standard personal computer or a workstation.
  • the processor 1102 may be one or more general processors, digital signal processors, application specific integrated circuits, field programmable gate arrays, servers, networks, digital circuits, analog circuits, combinations thereof, or other now known or later developed devices for analysing and processing data.
  • the processor 1102 may implement a software program, such as code generated manually (i.e., programmed).
  • the computer system 1100 may include a memory 1104, such as a memory 1104 that can communicate via a bus 1108.
  • the memory 1104 may include, but is not limited to computer readable storage media such as various types of volatile and non-volatile storage media, including but not limited to random access memory, read-only memory, programmable read-only memory, electrically programmable read-only memory, electrically erasable read-only memory, flash memory, magnetic tape or disk, optical media and the like.
  • the memory 1104 includes a cache or random access memory for the processor 1102.
  • the memory 1104 is separate from the processor 1102, such as a cache memory of a processor, the system memory, or other memory.
  • the memory 1104 may be an external storage device or database for storing data.
  • the memory 1104 is operable to store instructions executable by the processor 1102.
  • the functions, acts or tasks illustrated in the figures or described may be performed by the programmed processor 1102 for executing the instructions stored in the memory 1104.
  • the functions, acts or tasks are independent of the particular type of instructions set, storage media, processor or processing strategy and may be performed by software, hardware, integrated circuits, firm-ware, micro-code and the like, operating alone or in combination.
  • processing strategies may include multiprocessing, multitasking, parallel processing and the like.
  • the computer system 1100 may or may not further include a display unit 1110, such as a liquid crystal display (LCD), an organic light emitting diode (OLED), a flat panel display, a solid state display, a cathode ray tube (CRT), a projector, a printer or other now known or later developed display device for outputting determined information.
  • a display unit 1110 such as a liquid crystal display (LCD), an organic light emitting diode (OLED), a flat panel display, a solid state display, a cathode ray tube (CRT), a projector, a printer or other now known or later developed display device for outputting determined information.
  • the display 1110 may act as an interface for the user to see the functioning of the processor 1102, or specifically as an interface with the software stored in the memory 1104 or in the drive unit 1016.
  • the computer system 1100 may include an user input device 1112 configured to allow a user to interact with any of the components of system 1100.
  • the computer system 1100 may also include a disk or optical drive unit 1116.
  • the disk drive unit 1116 may include a computer-readable medium 1122 in which one or more sets of instructions 1124, e.g. software, can be embedded.
  • the instructions 1124 may embody one or more of the methods or logic as described. In a particular example, the instructions 1124 may reside completely, or at least partially, within the memory 1104 or within the processor 1102 during execution by the computer system 1100.
  • the present invention contemplates a computer-readable medium that includes instructions 1124 or receives and executes instructions 1124 responsive to a propagated signal so that a device connected to a network 1126 can communicate voice, video, audio, images or any other data over the network 1126. Further, the instructions 1124 may be transmitted or received over the network 1126 via a communication interface 1120 or using a bus 1108.
  • the communication interface 1120 may be a part of the processor 1102 or may be a separate component.
  • the communication interface 1120 may be created in software or may be a physical connection in hardware.
  • the communication interface 1120 may be configured to connect with a network 1126, external media, the display 1110, or any other components in system 1100, or combinations thereof.
  • the communication interface 1120 is also called as a transceiver.
  • connection with the network 1126 may be a physical connection, such as a wired Ethernet connection or may be established wirelessly as discussed later.
  • additional connections with other components of the system 1100 may be physical connections or may be established wirelessly.
  • the network 1126 may alternatively be directly connected to the bus 1108.
  • the network 1126 may include wired networks, wireless networks, Ethernet AVB networks, or combinations thereof.
  • the wireless network may be a cellular telephone network, an 802.11, 802.16, 802.20, 802.1Q or WiMax network.
  • the network 1126 may be a public network, such as the Internet, a private network, such as an intranet, or combinations thereof, and may utilize a variety of networking protocols now available or later developed including, but not limited to TCP/IP based networking protocols.
  • the system is not limited to operation with any particular standards and protocols. For example, standards for Internet and other packet switched network transmission (e.g., TCP/IP, UDP/IP, HTML, HTTP) may be used.
  • Figure 12 illustrates an example output of a CPE Locator Engine using mobile device. More specifically, the present figure illustrates rendering AR/VR enabled visualisation of CPE in mobile device, at the most optimal location.
  • Figure 13 illustrates an example output of a CPE Locator Engine 200 using AR/VR device.
  • the AR/VR display device augments and shows best installation points in user-premises.
  • the present AR/VE Highlights optimal location & does AR rendering of CPE on smartphone.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Telephone Function (AREA)

Abstract

Dans un mode de réalisation, la présente invention concerne un procédé pour déterminer un emplacement d'une installation d'un équipement radio. Le procédé consiste à déterminer des informations géographiques de locaux comprenant une pluralité d'emplacements, à déterminer une intensité de signal et une pluralité de dimensions associées à chacun des emplacements, à identifier un emplacement optimal parmi la pluralité d'emplacements pour l'installation de l'équipement radio dans les locaux sur la base d'un critère de classement, et à rendre l'emplacement optimal identifié.
PCT/KR2021/003181 2020-03-13 2021-03-15 Procédés et systèmes d'identification d'un emplacement et de rendu pour une installation de fwa WO2021182932A1 (fr)

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IN202041010905 2021-03-11

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Citations (5)

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US20170171760A1 (en) * 2014-03-11 2017-06-15 Honeywell International Inc. Method of placing wireless devices for rf planning
US20180100916A1 (en) * 2016-10-06 2018-04-12 Gullicksen Brothers, LLC Locating devices based on antenna coordinates
US20180302743A1 (en) * 2016-11-21 2018-10-18 Beijing Didi Infinity Technology And Development Co., Ltd. Systems and methods for performing location-based actions
US20190312774A1 (en) * 2018-04-05 2019-10-10 Starry, Inc. System and Method for Facilitating Installation and Configuration of Network Devices
US20190385187A1 (en) * 2006-09-05 2019-12-19 NEXRF Corp. Network based indoor positioning and geofencing system and method

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Publication number Priority date Publication date Assignee Title
US20190385187A1 (en) * 2006-09-05 2019-12-19 NEXRF Corp. Network based indoor positioning and geofencing system and method
US20170171760A1 (en) * 2014-03-11 2017-06-15 Honeywell International Inc. Method of placing wireless devices for rf planning
US20180100916A1 (en) * 2016-10-06 2018-04-12 Gullicksen Brothers, LLC Locating devices based on antenna coordinates
US20180302743A1 (en) * 2016-11-21 2018-10-18 Beijing Didi Infinity Technology And Development Co., Ltd. Systems and methods for performing location-based actions
US20190312774A1 (en) * 2018-04-05 2019-10-10 Starry, Inc. System and Method for Facilitating Installation and Configuration of Network Devices

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