Abstract: NETWORK SIGNAL STRENGTH ANALSYSIS PLATFORM FOR GEOGRAPHIC LOCATION MAPPING Abstract A network signal strength analysis platform for geographic location mapping may include a network signal strength monitoring module configured to receive and monitor network signal strength data from one or more network signal strength data sources. The network signal strength analysis platform for geographic location mapping may further include a geographic mapping module that is capable of receiving the data on the network signal strength and mapping it into a geographic map. The network signal strength analysis platform for geographic location mapping may ultimately include a data analysis module that is capable of analysing the network signal strength data to give insights into the network's coverage and quality in a variety of geographic areas. Fig. 1
1. A network signal strength analysis platform for geographic location mapping comprising: a network signal strength monitoring module configured to receive and monitor network signal strength data from one or more network signal strength data sources; a geographic mapping module configured to receive and map the network signal strength data onto a geographic map; and a data analysis module configured to analyse the network signal strength data to provide insights into network coverage and quality in different geographic locations.
2. The platform of claim 1, wherein the network signal strength monitoring module comprises one or more sensors configured to capture network signal strength data from one or more network providers.
3. The platform of claim 1, wherein the geographic mapping module comprises a mapping engine configured to map the network signal strength data onto a geographic map in real-time.
4. The platform of claim 1, wherein the data analysis module is configured to provide real-time feedback on network signal strength to one or more network providers.
5. The platform of claim 1, wherein the data analysis module is further configured to identify network coverage gaps and suggest potential solutions for improving network coverage in those areas.
6. The platform of claim 1, wherein the network signal strength monitoring module is configured to receive and monitor network signal strength data from one or more mobile devices.
7. The platform of claim 1, wherein the data analysis module is further configured to provide analytics and visualizations for network coverage and quality data in different geographic locations.
8. The platform of claim 1, wherein the geographic mapping module is configured to integrate additional geographic data, such as population density or terrain, to provide a more comprehensive analysis of network coverage and quality in different geographic locations.
9. A method for network signal strength analysis and geographic location mapping comprising: receiving network signal strength data from one or more network signal strength data sources; mapping the network signal strength data onto a geographic map; and analyzing the network signal strength data to provide insights into network coverage and quality in different geographic locations.
10. The method of claim 9, further comprising providing real-time feedback on network signal strength to one or more network providers. NETWORK SIGNAL STRENGTH ANALSYSIS PLATFORM FOR GEOGRAPHIC LOCATION MAPPING Abstract A network signal strength analysis platform for geographic location mapping may include a network signal strength monitoring module configured to receive and monitor network signal strength data from one or more network signal strength data sources. The network signal strength analysis platform for geographic location mapping may further include a geographic mapping module that is capable of receiving the data on the network signal strength and mapping it into a geographic map. The network signal strength analysis platform for geographic location mapping may ultimately include a data analysis module that is capable of analysing the network signal strength data to give insights into the network's coverage and quality in a variety of geographic areas. Fig. 1 , Claims:Claims :
1. A network signal strength analysis platform for geographic location mapping comprising: a network signal strength monitoring module configured to receive and monitor network signal strength data from one or more network signal strength data sources; a geographic mapping module configured to receive and map the network signal strength data onto a geographic map; and a data analysis module configured to analyse the network signal strength data to provide insights into network coverage and quality in different geographic locations.
2. The platform of claim 1, wherein the network signal strength monitoring module comprises one or more sensors configured to capture network signal strength data from one or more network providers.
3. The platform of claim 1, wherein the geographic mapping module comprises a mapping engine configured to map the network signal strength data onto a geographic map in real-time.
4. The platform of claim 1, wherein the data analysis module is configured to provide real-time feedback on network signal strength to one or more network providers.
5. The platform of claim 1, wherein the data analysis module is further configured to identify network coverage gaps and suggest potential solutions for improving network coverage in those areas.
6. The platform of claim 1, wherein the network signal strength monitoring module is configured to receive and monitor network signal strength data from one or more mobile devices.
7. The platform of claim 1, wherein the data analysis module is further configured to provide analytics and visualizations for network coverage and quality data in different geographic locations.
8. The platform of claim 1, wherein the geographic mapping module is configured to integrate additional geographic data, such as population density or terrain, to provide a more comprehensive analysis of network coverage and quality in different geographic locations.
9. A method for network signal strength analysis and geographic location mapping comprising: receiving network signal strength data from one or more network signal strength data sources; mapping the network signal strength data onto a geographic map; and analyzing the network signal strength data to provide insights into network coverage and quality in different geographic locations.
10. The method of claim 9, further comprising providing real-time feedback on network signal strength to one or more network providers.
Description:NETWORK SIGNAL STRENGTH ANALSYSIS PLATFORM FOR GEOGRAPHIC LOCATION MAPPING
Field of the Invention
[0001] The present invention relates generally to wireless communications method, specifically to system and method to facilitate measurement and reporting of wireless network coverage at a geographic location.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Wireless communication networks have become ubiquitous and essential in our daily lives. The signal strength of a wireless network plays a vital role in the performance of networked devices. It is crucial to have a good understanding of network signal strength in different geographical locations to optimize network performance and improve user experience.
[0004] The current approach to measuring signal strength involves using handheld devices and walking around different locations to collect data. This method is time-consuming and can be inaccurate due to the variability of the signal strength over time.
[0005] The US8724892B2 (By : INTERDIGITAL PATENT HOLDINGS) - To describe the actual color gamut, a hierarchical structure is proposed which comprises, from bottom to top Gamut Components: each GC is a surface, generally described as a set of connected elementary triangles or polygons, Gamut Hulls: each GH is a closed surface formed by the concatenation of connex Gamut Components, and Gamut Instances: each GI is an alternative Gamut Boundary Description of the same actual gamut and is built by the union of the volume(s) bordered by at least one Gamut Hull. Such a Gamut Boundary Information may be notably used for gamut mapping operations. Among advantages of the invention, are flexibility and adaptation to available memory and bandwidth capabilities.
[0006] The CN115087017A (By: CHINA FIRST AUTOMOBILE WORKS) - The invention relates to a cellular network signal intensity acquisition method using a vehicle positioning system. The method is characterized in that a GPS positioning module acquires current position information data of a vehicle; the cellular network communication module collects cellular network signal intensity information data; the data storage module stores current position information data of the vehicle and cellular network signal intensity information data; the data storage module uploads the current position information data of the vehicle and the cellular network signal intensity information data to the monitoring platform through the wireless communication module; and the monitoring platform calculates the signal intensity of all streets in the area through a cellular network signal intensity analysis module according to the current position information data of the vehicle and the cellular network signal intensity information data. According to the method, the acquisition requirement is reduced, the acquisition path is widened, the signal intensity of the road is continuously collected and uploaded by using the vehicles meeting the conditions on the road surface, and the information updating speed is higher.
[0007] The US9247131B2 (By: FLIR SYSTEMS ) - Various techniques are disclosed for providing systems for providing alignment guide information to selectively direct a visible light source to substantially align the visible light source with a desired subject and to project a visible light beam substantially on the desired subject. For example, a system may include a small form factor infrared imaging module to capture thermal images of a scene, which may be received by a processor to generate alignment guide information such as a user-viewable image of the scene, a user-viewable cue, and a framing reticle. In another example, such a system may be implemented as a camera. In yet another example, such a system may be implemented as a spotlight.
[0008] The US8666388B2 (By: QUALCOMM) - Providing for automated wireless network signal analysis by mobile devices as a function of their geographic locations is described herein. By way of example, a wireless network can transmit a set of geographic data defining a geographic region to a mobile device. The mobile device can compare its current location to the geographic region, and begin measuring downlink signals, or recording such measurements when within the geographic region, and terminate the recording when the mobile device leaves the geographic region. Recorded measurements can be subsequently uploaded to the wireless network for analysis. In some aspects, the mobile device can refrain from uploading the measurements until within a defined reporting region. By providing mobile device network analysis triggered on device geographic location, analysis data that is well tailored to a particular problem area can be obtained, increasing quality of the analysis data and significantly reducing cost of acquiring such data.
[0009] A more efficient and accurate approach is required to deploy a network signal strength analysis platform that automatically collects data from multiple locations and presents the results in a geographic location map.
[00010] The aim of this research project is to develop a network signal strength analysis platform that provides an accurate and efficient way to measure the signal strength of wireless networks in different geographical locations. The platform will use machine learning algorithms to analyse the collected data and provide insights into the network performance.
[00011] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
[00012] The present invention relates generally to wireless communications method, specifically to system and method to facilitate measurement and reporting of wireless network coverage at a geographic location.
[00013] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00014] The following paragraphs provide additional support for the claims of the subject application.
[00015] Embodiments of the present disclosure may include a network signal strength analysis platform for geographic location mapping including a network signal strength monitoring module configured to receive and monitor network signal strength data from one or more network signal strength data sources. Embodiments may also include a geographic mapping module configured to receive and map the network signal strength data onto a geographic map. Embodiments may also include a data analysis module configured to analyse the network signal strength data to provide insights into network coverage and quality in different geographic locations.
[00016] In some embodiments, the network signal strength monitoring module may include one or more sensors configured to capture network signal strength data from one or more network providers. In some embodiments, the geographic mapping module may include a mapping engine configured to map the network signal strength data onto a geographic map in real-time.
[00017] In some embodiments, the data analysis module may be configured to provide real-time feedback on network signal strength to one or more network providers. In some embodiments, the data analysis module may be further configured to identify network coverage gaps and suggest potential solutions for improving network coverage in those areas. In some embodiments, the network signal strength monitoring module may be configured to receive and monitor network signal strength data from one or more mobile devices.
[00018] In some embodiments, the data analysis module may be further configured to provide analytics and visualizations for network coverage and quality data in different geographic locations. In some embodiments, the geographic mapping module may be configured to integrate additional geographic data, such as population density or terrain, to provide a more comprehensive analysis of network coverage and quality in different geographic locations.
[00019] Embodiments of the present disclosure may also include a method for network signal strength analysis and geographic location mapping including receiving network signal strength data from one or more network signal strength data sources. Embodiments may also include mapping the network signal strength data onto a geographic map. Embodiments may also include analyzing the network signal strength data to provide insights into network coverage and quality in different geographic locations. In some embodiments, the method may include providing real-time feedback on network signal strength to one or more network providers.
Brief Description of the Drawings
[00020] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00021] FIG. 1 is a block diagram illustrating a network signal strength analysis platform to facilitate measurement and reporting of wireless network coverage at geographic location, according to some embodiments of the present disclosure.
[00022] FIG. 2 is a flowchart illustrating a method to facilitate measurement and reporting of wireless network coverage at geographic location, according to some embodiments of the present disclosure.
Detailed Description
[00023] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00024] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00025] Following are more detailed descriptions of various concepts related to, and implementations of, methods, apparatuses, and systems of present disclosure. The various concepts introduced above and discussed in greater detail below may be implemented in any of numerous ways.
[00026] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00027] The present invention relates generally to wireless communications method, specifically to system and method to facilitate measurement and reporting of wireless network coverage at a geographic location.
[00028] FIG. 1 is a block diagram that describes a network signal strength analysis platform 100 to facilitate measurement and reporting of wireless network coverage at geographic location, according to some embodiments of the present disclosure. In some embodiments, the network signal strength analysis platform 100 may include a network signal strength monitoring module 110 configured to receive and monitor network signal strength data from one or more network signal strength data sources, a geographic mapping module 120 configured to receive and map the network signal strength data onto a geographic map, and a data analysis module 130 configured to analyse the network signal strength data to provide insights into network coverage and quality in different geographic locations.
[00029] In some embodiments, the network signal strength monitoring module 110 may include one or more sensors configured to capture network signal strength data from one or more network providers. In some embodiments, the geographic mapping module 120 may include a mapping engine configured to map the network signal strength data onto a geographic map in real-time. In some embodiments, the data analysis module 130 may be configured to provide real-time feedback on network signal strength to one or more network providers.
[00030] In some embodiments, the data analysis module 130 may be further configured to identify network coverage gaps and suggest potential solutions for improving network coverage in those areas. In some embodiments, the network signal strength monitoring module 110 may be configured to receive and monitor network signal strength data from one or more mobile devices. In some embodiments, the data analysis module 130 may be further configured to provide analytics and visualizations for network coverage and quality data in different geographic locations. In some embodiments, the geographic mapping module 120 may be configured to integrate additional geographic data, such as population density or terrain, to provide a more comprehensive analysis of network coverage and quality in different geographic locations.
[00031] FIG. 2 is a flowchart that describes a method to facilitate measurement and reporting of wireless network coverage at geographic location, according to some embodiments of the present disclosure. In some embodiments, at 210, the method may include receiving network signal strength data from one or more network signal strength data sources. At 220, the method may include mapping the network signal strength data onto a geographic map. At 230, the method may include analyzing the network signal strength data to provide insights into network coverage and quality in different geographic locations. In some embodiments, the method may include providing real-time feedback on network signal strength to one or more network providers.
[00032] The network signal strength analysis platform 100 for geographic location mapping may include a network signal strength monitoring module 110 configured to receive and monitor network signal strength data from one or more network signal strength data sources. The network signal strength analysis platform 100 for geographic location mapping may includea geographic mapping module 120 that is capable of receiving the data on the network signal strength and mapping it into a geographic map.a The data analysis module 130 that is capable of analysing the network signal strength data to give insights into the network's coverage and quality in a variety of geographic areas.
[00033] The network signal strength monitoring module 110 may, in certain implementations, include one or more sensors that are outfitted with the capability to collect data on network signal strength from one or more network providers. In some implementations, the geographic mapping module 120 may include a mapping engine that is pre-programmed to plot the data about the network signal intensity onto a geographical map in near real-time.
[00034] The data analysis module 130 may be set in a number of different ways; one of those ways is to offer one or more network providers with real-time input on the strength of the network signal. The data analysis module 130 may be further configured in certain embodiments to detect network coverage gaps and recommend viable solutions for enhancing network coverage in those regions. The network signal strength monitoring module 110 may, in some implementations, be designed to receive and monitor network signal strength data from one or more mobile devices.
[00035] The data analysis module 130 may be further configured in certain embodiments to offer analytics and visualisations for network coverage and quality data in multiple geographic regions. This can be done, for example, if the module is used in a mobile application. The geographic mapping module 120 may be configured in some embodiments to integrate additional geographic data, such as population density or terrain, in order to provide a more comprehensive analysis of network coverage and quality in a variety of geographic locations, this type of analysis can be useful.
[00036] A method for analysing network signal strength and mapping geographic locations may also be included in embodiments of the present disclosure. This method may involve the step of obtaining network signal strength data from one or more sources that provide network signal strength data. The data on the network signal strength may also be mapped out into a geographical map according to certain embodiments. In certain embodiments, there is also the possibility of doing an analysis of the data on the network signal strength in order to give insights into the network coverage and quality in various geographical regions. In some implementations of the approach, it is possible that one or more network providers may get real-time input on the strength of the network signal.
[00037] Variations of those preferred embodiments may become apparent to those of ordinary skill in the art upon reading the foregoing description. The inventors expect skilled artisans to employ such variations as appropriate, and the inventors intend for the invention to be practiced otherwise than as specifically described herein. Accordingly, this invention includes all modifications and equivalents of the subject matter recited in the claims appended hereto as permitted by applicable law. Moreover, any combination of the above-described elements in all possible variations thereof is encompassed by the invention unless otherwise indicated herein or otherwise clearly contradicted by context
[00038] As used herein, the term “wireless communication network” or “network interface” refers to a network following any suitable wireless communication standards, such as LTE-Advanced (LTE-A), LTE, Wideband Code Division Multiple Access (WCDMA), High-Speed Packet Access (HSPA), and so on. Furthermore, the communications between network devices in the wireless communication network may be performed according to any suitable generation communication protocols, including, but not limited to, the first generation (1G), the second generation (2G), 2.5G, 2.75G, the third generation (3G), the fourth generation (4G), 4.5G, the fifth generation (5G) communication protocols, and/or any other protocols either currently known or to be developed in the future.
[00039] As used herein, the term “network device” refers to a device in a wireless communication network via which a terminal device accesses the network and receives services therefrom. The network device may refer to a base station (BS) or an access point (AP), for example, a node B (NodeB or NB), an evolved NodeB (eNodeB or eNB), a Remote Radio Unit (RRU), a radio header (RH), a remote radio head (RRH), a relay, a low power node such as a femto, a pico, and so forth, depending on the applied terminology and technology. The “network device” or “terminal device” or “computing device” may represent any suitable device (or group of devices) capable, configured, arranged, and/or operable to enable and/or provide a terminal device access to the wireless communication network or to provide some service to a terminal device that has accessed the wireless communication network. The terminal device may include, but not limited to, a mobile phone, a cellular phone, a smart phone, a tablet, a wearable device, a personal digital assistant (PDA), portable computers, image capture terminal devices such as digital cameras, gaming terminal devices, music storage and playback appliances, wearable terminal devices, vehicle-mounted wireless terminal devices and the like. In the following description, the terms “terminal device”, “terminal”, “user equipment”, “computing device”, “network device” and “UE” may be used interchangeably.
[00040] Processing device may be provided by one or more processors such as a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00041] In addition, the present disclosure may also provide a memory containing the computer program as mentioned above, which includes machine-readable media and machine-readable transmission media. The machine-readable media may also be called computer-readable media, and may include machine-readable storage media, for example, magnetic disks, magnetic tape, optical disks, phase change memory, or an electronic memory terminal device like a random access memory (RAM), read only memory (ROM), flash memory devices, CD-ROM, DVD, Blue-ray disc and the like. The machine-readable transmission media may also be called a carrier, and may include, for example, electrical, optical, radio, acoustical or other form of propagated signals—such as carrier waves, infrared signals, and the like.
[00042] Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
[00043] All references to “a/an/the element, apparatus, component, means, step, etc.” are to be interpreted as referring to at least one instance of the element, apparatus, component, means, step, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated. The discussion above and below in respect of any of the aspects of the present disclosure is also in applicable parts relevant to any other aspect of the present disclosure.
[00044] The wordings such as “include”, “including”, “comprise” and “comprising” do not exclude elements or steps which are present but not listed in the description and the claims.
[00045] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
[00046] Various techniques may be described herein in the general context of software, hardware elements, or program modules. Generally, such modules include routines, programs, objects, elements, components, data structures, and so forth that perform particular tasks or implement particular abstract data types. The terms “module,” “functionality,” and “component” as used herein generally represent software, firmware, hardware, or a combination thereof. The features of the techniques described herein are platform-independent, meaning that the techniques may be implemented on a variety of commercial computing platforms having a variety of processors.
Claims
I/We Claim:
1. A network signal strength analysis platform for geographic location mapping comprising:
a network signal strength monitoring module configured to receive and monitor network signal strength data from one or more network signal strength data sources;
a geographic mapping module configured to receive and map the network signal strength data onto a geographic map; and
a data analysis module configured to analyse the network signal strength data to provide insights into network coverage and quality in different geographic locations.
2. The platform of claim 1, wherein the network signal strength monitoring module comprises one or more sensors configured to capture network signal strength data from one or more network providers.
3. The platform of claim 1, wherein the geographic mapping module comprises a mapping engine configured to map the network signal strength data onto a geographic map in real-time.
4. The platform of claim 1, wherein the data analysis module is configured to provide real-time feedback on network signal strength to one or more network providers.
5. The platform of claim 1, wherein the data analysis module is further configured to identify network coverage gaps and suggest potential solutions for improving network coverage in those areas.
6. The platform of claim 1, wherein the network signal strength monitoring module is configured to receive and monitor network signal strength data from one or more mobile devices.
7. The platform of claim 1, wherein the data analysis module is further configured to provide analytics and visualizations for network coverage and quality data in different geographic locations.
8. The platform of claim 1, wherein the geographic mapping module is configured to integrate additional geographic data, such as population density or terrain, to provide a more comprehensive analysis of network coverage and quality in different geographic locations.
9. A method for network signal strength analysis and geographic location mapping comprising:
receiving network signal strength data from one or more network signal strength data sources;
mapping the network signal strength data onto a geographic map; and
analyzing the network signal strength data to provide insights into network coverage and quality in different geographic locations.
10. The method of claim 9, further comprising providing real-time feedback on network signal strength to one or more network providers.
NETWORK SIGNAL STRENGTH ANALSYSIS PLATFORM FOR GEOGRAPHIC LOCATION MAPPING
Abstract
A network signal strength analysis platform for geographic location mapping may include a network signal strength monitoring module configured to receive and monitor network signal strength data from one or more network signal strength data sources. The network signal strength analysis platform for geographic location mapping may further include a geographic mapping module that is capable of receiving the data on the network signal strength and mapping it into a geographic map. The network signal strength analysis platform for geographic location mapping may ultimately include a data analysis module that is capable of analysing the network signal strength data to give insights into the network's coverage and quality in a variety of geographic areas.
Fig. 1 , Claims:Claims
I/We Claim:
1. A network signal strength analysis platform for geographic location mapping comprising:
a network signal strength monitoring module configured to receive and monitor network signal strength data from one or more network signal strength data sources;
a geographic mapping module configured to receive and map the network signal strength data onto a geographic map; and
a data analysis module configured to analyse the network signal strength data to provide insights into network coverage and quality in different geographic locations.
2. The platform of claim 1, wherein the network signal strength monitoring module comprises one or more sensors configured to capture network signal strength data from one or more network providers.
3. The platform of claim 1, wherein the geographic mapping module comprises a mapping engine configured to map the network signal strength data onto a geographic map in real-time.
4. The platform of claim 1, wherein the data analysis module is configured to provide real-time feedback on network signal strength to one or more network providers.
5. The platform of claim 1, wherein the data analysis module is further configured to identify network coverage gaps and suggest potential solutions for improving network coverage in those areas.
6. The platform of claim 1, wherein the network signal strength monitoring module is configured to receive and monitor network signal strength data from one or more mobile devices.
7. The platform of claim 1, wherein the data analysis module is further configured to provide analytics and visualizations for network coverage and quality data in different geographic locations.
8. The platform of claim 1, wherein the geographic mapping module is configured to integrate additional geographic data, such as population density or terrain, to provide a more comprehensive analysis of network coverage and quality in different geographic locations.
9. A method for network signal strength analysis and geographic location mapping comprising:
receiving network signal strength data from one or more network signal strength data sources;
mapping the network signal strength data onto a geographic map; and
analyzing the network signal strength data to provide insights into network coverage and quality in different geographic locations.
10. The method of claim 9, further comprising providing real-time feedback on network signal strength to one or more network providers.
| # | Name | Date |
|---|---|---|
| 1 | 202311019511-REQUEST FOR EARLY PUBLICATION(FORM-9) [21-03-2023(online)].pdf | 2023-03-21 |
| 2 | 202311019511-POWER OF AUTHORITY [21-03-2023(online)].pdf | 2023-03-21 |
| 3 | 202311019511-OTHERS [21-03-2023(online)].pdf | 2023-03-21 |
| 4 | 202311019511-FORM-9 [21-03-2023(online)].pdf | 2023-03-21 |
| 5 | 202311019511-FORM FOR SMALL ENTITY(FORM-28) [21-03-2023(online)].pdf | 2023-03-21 |
| 6 | 202311019511-FORM 1 [21-03-2023(online)].pdf | 2023-03-21 |
| 7 | 202311019511-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [21-03-2023(online)].pdf | 2023-03-21 |
| 8 | 202311019511-EDUCATIONAL INSTITUTION(S) [21-03-2023(online)].pdf | 2023-03-21 |
| 9 | 202311019511-DRAWINGS [21-03-2023(online)].pdf | 2023-03-21 |
| 10 | 202311019511-DECLARATION OF INVENTORSHIP (FORM 5) [21-03-2023(online)].pdf | 2023-03-21 |
| 11 | 202311019511-COMPLETE SPECIFICATION [21-03-2023(online)].pdf | 2023-03-21 |
| 12 | 202311019511-MARKED COPY [04-04-2023(online)].pdf | 2023-04-04 |
| 13 | 202311019511-CORRECTED PAGES [04-04-2023(online)].pdf | 2023-04-04 |