Computer-implemented method for communication network planning in area

Abstract

Disclosed is a computer-implemented method for a communication network planning in an area (202, 306) comprising residential buildings (204). The method comprises: determining locations of residential buildings in area; identifying locations of customer stationary network devices (206) of operator in area, customer stationary network devices comprise fixed network devices (208) and stationary mobile devices (210); identifying first residential buildings with one or more customer stationary network devices and a second residential buildings without customer stationary network devices; based on determined second residential buildings, determining non-customer residential area; calculating first size of non-customer residential area (214, 302, 304) at first moment of time; calculating second size of non-customer residential area at second moment of time; identifying change of size of non-customer residential area between first and second moment of time; and managing a deployment of the communication network within the area, based on the identified change of the size.

Description

[0001] COMPUTER-IMPLEMENTED METHOD FOR COMMUNICATION NETWORK

[0002] PLANNING IN AREA

[0003] TECHNICAL FIELD

[0004] The present disclosure relates to computer-implemented methods for communication network plannings in areas. Moreover, the present disclosure relates to data processing systems for communication network plannings in areas. Furthermore, the present disclosure relates to computer programs for communication network plannings in areas. Furthermore, the present disclosure relates to computer-readable storage mediums comprising instructions for communication network plannings in areas.

[0005] BACKGROUND

[0006] In the field of communication network planning and optimization, ensuring efficient coverage and connectivity for users is of paramount importance. The evolution of mobile devices and their usage patterns necessitates methods to address coverage gaps and enhance user experiences. Recently, there has been a significant surge in competition around data-related services within the telecommunications industry. As the demand for data connectivity continues, the importance of knowing precisely where to strategically invest network resources has become increasingly critical. This strategic insight is pivotal for network operators to enables them to make informed decisions about where to allocate investments and resources to ensure optimal coverage and service quality.

[0007] Typically, a single building or location is not serviced by multiple operators with their respective fibre connections. When an operator makes the strategic decision to invest in fibre optics infrastructure in a specific location and successfully captures a significant number of customers, it gains a competitive advantage and solidifies its position in that particular area. Therefore, there is need for information regarding the investments made by other operators in terms of fibre infrastructure and their resulting customer acquisitions. Having access to this information empowers operators to make well-informed decisions, optimize resource allocation, and strategically compete in the data-driven market, ultimately enhancing their market position and ensuring efficient network planning. However, currently there is no accurate method to identify such information.

[0008] Therefore, in light of the foregoing discussion, there exists a need to overcome the aforementioned drawbacks.

[0009] SUMMARY

[0010] The aim of the present disclosure is to provide a computer-implemented method, a data processing system, a computer program and computer- readable storage medium to improve network planning in residential areas. The aim of the present disclosure is achieved by a computer- implemented method, a data processing system, a computer program and computer-readable storage medium for a communication network planning in an area as defined in the appended independent claims to which reference is made to. Advantageous features are set out in the appended dependent claims.

[0011] Throughout the description and claims of this specification, the words "comprise" , "include", "have", and "contain" and variations of these words, for example "comprising" and "comprises" , mean "including but not limited to", and do not exclude other components, items, integers or steps not explicitly disclosed also to be present. Moreover, the singular encompasses the plural unless the context otherwise requires. In particular, where the indefinite article is used, the specification is to be understood as contemplating plurality as well as singularity, unless the context requires otherwise.

[0012] BRIEF DESCRIPTION OF THE DRAWINGS

[0013] FIG. 1 illustrates steps of a computer-implemented method for a communication network planning in an area, in accordance with an embodiment of the present disclosure;

[0014] FIGs. 2A, 2B and 2C illustrated are visual representations of steps of a computer-implemented method for a communication network planning in an area, in accordance with an embodiment of the present disclosure; and

[0015] FIGs. 3A and 3B illustrated are visual representations of change in a noncustomer residential area over a period of time, in accordance with an embodiment of the present disclosure.

[0016] DETAILED DESCRIPTION OF EMBODIMENTS

[0017] The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognize that other embodiments for carrying out or practising the present disclosure are also possible.

[0018] In a first aspect, the present disclosure provides a computer- implemented method for a communication network planning in an area comprising residential buildings, the method comprising determining locations of residential buildings in the area; identifying locations of customer stationary network devices of an operator in the area, wherein the customer stationary network devices comprise fixed network devices and stationary mobile devices; identifying, based on determined locations of residential buildings and identified locations of customer stationary network devices, a first residential buildings with one or more customer stationary network devices, and a second residential buildings without customer stationary network devices; based on the determined second residential buildings without customer stationary network devices, determining a non-customer residential area; calculating a first size of the non-customer residential area at a first moment of time; calculating a second size of the non-customer residential area at a second moment of time; identifying a change of a size of the non-customer residential area between the first moment of time and the second moment of time by comparing the first size and the second size; and managing a deployment of the communication network within the area, based on the identified change of the size.

[0019] In a second aspect, the present disclosure provides a data processing system for a communication network planning in an area comprising residential buildings, the system comprising means for carrying out the method of the first aspect.

[0020] In a third aspect, the present disclosure provides a computer program for a communication network planning in an area comprising residential buildings, the computer program comprising instructions which, when the program is executed by a data processing system, cause the data processing system to carry out the method of the first aspect.

[0021] In a fourth aspect, the present disclosure provides a computer-readable storage medium comprising instructions for a communication network planning in an area comprising residential buildings, which when executed by a data processing system, cause the data processing system to carry out the method of the first aspect. The disclosed method provides seamless and efficient communication for the users by ensuring that network signals reach the residential building, eliminating coverage gaps and dead zones. Beneficially, identifying the locations of the customer stationary network devices provides data points to help operators to gain a comprehensive understanding of the area. Moreover, identifying the locations without network devices and establishing the non-customer residential area, network operators gain valuable insights into areas that might require attention in terms of network infrastructure development, potentially enabling them to extend services to underserved or unconnected regions. Advantageously, areas where other operator has a strong marketing position can be found and avoided any investment of money on the infrastructure for these areas. Areas where other operator has a strong marketing position can be found and focus can be shifted to other areas which do not have any strong marketing position of a competitor, to dominate that area. Areas, where no operator has a strong marketing position can be also found. When these areas will be found, the operator can invest in the infrastructure and may potentially start to dominate that area. The method is susceptible to provide the operator a clear understanding of changes in network coverage gaps over time. Such a comparison allows for identifying trends in network performance, highlighting regions in the areas where network connectivity is deteriorating or improving. Specifically, by identifying those regions within the area where the noncustomer residential area has increased, the operator can ensure that resources are invested in said regions which actually need proper network coverage. This likely improvs an overall efficiency of a communication network deployment, as it provides seamless connectivity and communication services for users in said regions. Moreover, by avoiding unnecessary investments in regions within the area that already have sufficient network coverage facilitates in reducing overall deployment costs, enabling the operator to allocate resources effectively to only underserved regions within the area. Furthermore, the data processing system, computer program, computer-readable storage medium of the second, third, and fourth aspect, respectively, are configured to implement the aforementioned method to assist the operator in improving the communication network planning in the area.

[0022] Throughout the present disclosure the term "communication network planning" refers to a strategic and systematic process of designing, optimizing, and managing a deployment of communication networks within a given area. The communication network planning involves providing efficient and reliable network infrastructure to ensure seamless connectivity and communication services for users within the given area. Typically, the communication network planning involves evaluating a geographical layout, population density, user demands, and technological requirements of the area for the placement and configuration of network elements, such as base stations, antennas, routers, and other equipment necessary for transmitting and receiving signals. It will be appreciated that the steps of the method for the communication network planning are implemented on a computing device. The computing device is associated with (or used by) the user, that is capable of enabling the user to perform the aforementioned method. Examples of the computing device include, but are not limited to, cellular phones, personal digital assistants (PDAs), handheld devices, wireless modems, laptop computers, personal computers, and so on. Optionally, the computing device includes a display, a camera, a memory, a processor, a communication interface. Moreover, the computing device is configured to host the application programming interface thereon to support and / or enable the operation of the method.

[0023] Moreover, the method comprises determining the locations of the residential buildings in the area. The term "residential building" as used herein, refers to a building that is used for housing of one or more people. Optionally, the residential building may be selected from: a single-family home, an apartment building, a dormitory, or a hotel. Additionally, alternatively, the residential building may include, but do not limit to, an office space, a multiplex, a shopping area, a commutation depot, an educational institute. It will be appreciated that satellite imagery, Geographic Information System (GIS) data, address databases, and the like are utilized to determine the location of the residential buildings.

[0024] Optionally, determining locations of residential buildings in the area comprises obtaining a map data of the area, the map data comprising location data of the residential buildings and identification data of the residential buildings. In this regard, the term "map data" refers to data of the area having a detailed depiction of the area, in the form of digital maps. The term "location data" refers to records of information about a geographical position of each residential building within the area. Optionally, the location data may be in geodetic (latitude / longitude) format. The term "identification data" refers to unique attributes or identifiers assigned to each residential building. The identification data may include building numbers, addresses, or any other form of identification that distinguishes one residential building from another. It will be appreciated that the identification data may be at least one of: a city, a block, a street, a road name, a community name assigned to the residential building. Beneficially, the map data helps in locating the residential building accurately. In an embodiment, the identification of locations of the residential buildings for communication network planning is accomplished through a combination of satellite imagery analysis, GIS data utilization, geographical coordinates, and address database referencing.

[0025] Furthermore, the method comprises identifying the locations of the customer stationary network devices of the operator in the area, the customer stationary network devices comprise the fixed network devices and the stationary mobile devices. In this regard, the method is configured to identify the locations of the customer stationary network devices of the operator. The term "stationary network devices" herein refers to devices that are not in constant motion and maintain a stable position while connected to a communication network of the operator. The term "operator" refers to an entity responsible for providing communication services within the area. Optionally, the locations of the customer stationary network devices are identified using the map data, network signal triangulation, database records. Alternatively the locations of the customer stationary network devices can be identified by using Time of Arrival (ToA) and Time Difference of Arrival (TDoA). This enables to understand where devices are concentrated and thus to allocate resources, predict areas of heavy traffic and adjust network parameters more efficiently. Knowing the concentration of mobile devices at different times helps to analyze the mobile network usage and improve infrastructure development.

[0026] Typically, the fixed network devices comprise routers, switches, and access points that are installed in the residential building. The fixed network devices are configured to be connected using wired or wireless network connections, enabling customers to access communication services of the operator, such as internet connectivity. On the other hand, stationary mobile devices comprise smartphones, tablets, laptops, and the like. The stationary mobile devices are used by the customer while staying in the residential buildings in the area. In an embodiment, a device may be the stationary mobile device in terms of a physical location, but it could still connect to multiple communication networks of the operator, not because of any actual movement but, due to network fluctuations of the device. In another embodiment, due to temporary circumstances, such as a lockdown or when a person is unwell the device can be stationary mobile devices. During these situations, the device might not move around as it normally would. A technical effect of the map data, which includes both the geographic coordinates of the residential buildings and additional information that uniquely identifies each building is that it facilitates the creation of a comprehensive and organized database that aids in planning, optimizing, and managing communication networks within the area.

[0027] Optionally, identifying the locations of the customer stationary network devices comprises collecting customer data of one or more operators of the stationary network, wherein the customer data comprises at least one of subscription details, a mobile network usage data, support interactions, user preferences, network performance data, device information; obtaining network usage data of the stationary network; and obtaining user device data of the stationary network.

[0028] In this regard, the information related to interactions of the customer with the customer stationary network devices is gathered. The customer data includes subscription details, a mobile network usage data, support interactions, user preferences, network performance data, device information. The term "subscription details" refers to comprehensive information associated with the subscription plan of the user for network services. The subscription details have information such as the type of plan, service offerings, data limits, billing information, contractual terms, and any relevant terms and conditions governing the user's subscription to the network. The term "mobile network usage data" refers to information about how a user interacts with the network services. This data includes records of data consumption, call durations, text messaging, internet usage, and other activities carried out using the mobile network. The term "support interaction" refers to interactions between a user and customer support services provided by the network operator (namely, the operator). The support interaction includes inquiries, technical assistance requests, complaints, feedback, and any communication initiated by the user seeking assistance or information related to network services. The term "user preferences" refers to choices and settings that the user configures to customize their experience with the network services. Optionally, the user preferences include settings related to data usage, call settings, notification preferences, data-saving features, and the like. The "network performance data" refers to metrics and measurements that assess the quality and efficiency of the network services. Optionally, the network performance data includes signal strength, call drop rates, data transfer speeds, latency, network stability and so forth. The term "device information" refers to details regarding the mobile devices used by customers to access network services. Optionally, the device information includes information such as device models, specifications, operating systems, hardware capabilities, and the like.

[0029] In this regard, identifying the locations of the customer stationary network devices comprises obtaining the network usage data of the stationary network by collecting data that provide the information related to the usage of the stationary network. The network usage data encompass patterns of data transfer, communication frequencies, and the types of services accessed within the network. Moreover, identifying the locations of the customer stationary network devices comprises obtaining the user device data of the stationary network. The information about the devices connected to the stationary network is acquired. The user device provides the information related to the device types, capabilities, operating systems, and the like. Beneficially, identifying the locations of the customer stationary network devices provides data points, including customer subscription data, usage patterns, support interactions, network performance insights, preferences, and device specifics to help operators to gain a comprehensive understanding of where and how stationary network devices are utilized, enabling them to make informed decisions related to communication network planning, optimization, and service enhancement.

[0030] Furthermore, the method comprises identifying, based on determined locations of residential buildings and identified locations of customer stationary network devices, the first residential buildings with one or more customer stationary network devices and the second residential buildings without customer stationary network devices. In this regard, the determined locations of the residential buildings and identified locations of the customer stationary network devices are utilized to segregate the network device into the first residential buildings and the second residential buildings. The term "first residential buildings" refers to the buildings having one or more customer stationary network devices present. The first residential buildings are actively connected to the communication network of the operator, through fixed network devices and stationary mobile devices. The term "second residential buildings" refers to the buildings devoid of any of the customer stationary network devices. The second residential buildings do not possess network devices, and hence, they are potentially devoid of network connectivity.

[0031] Furthermore, the method comprises determining, based on the second residential buildings without customer stationary network devices, determining a non-customer residential area. In this regard, utilizing the second residential buildings without the customer stationary network devices to determine the non-customer residential area. The term "noncustomer residential area" refers to the residential areas within the area that lack network coverage and are inhabited by customers who are not connected to the communication network of the operator. Suitably, the non-customer residential area represents parts of the area where the communication network provided by the operator is either absent or insufficient due to the absence of customer stationary network devices within the residential buildings. Beneficially, the non-customer residential area is used for network expansion, coverage enhancement, and service optimization. By specifically identifying the locations without network devices and establishing the non-customer residential area, network operators gain valuable insights into areas that might require attention in terms of network infrastructure development, potentially enabling them to extend services to underserved or unconnected regions. A technical effect of identifying the locations of the customer stationary network devices is that it involves the systematic gathering and utilization of customer information by network operators to enable the identification and mapping of the geographic positions of stationary network devices. Moreover, by collecting customer data from one or more network operators, enables in creating a dataset that represents the distribution of stationary devices within the network's coverage area to facilitates targeted network planning, optimization, and resource allocation.

[0032] Furthermore, the method comprises calculating the first size of the noncustomer residential area at the first moment of time. The term "first area" refers to a geographical region in the area lacking network coverage due to the absence of customer stationary network devices. The term "first moment of time" refers to a time frame of starting the process where data is collected for assessing the first area. Typically, the method employs the data collected regarding the locations of the residential building and the absence of the network devices to delineate the area.

[0033] By quantifying the first size of the non-customer residential area, communication network planning in the area obtains a metric that serves as a reference point for subsequent evaluations. Beneficially, this initial measurement aids in assessing the scope of the area that lacks network connectivity, providing insights into the scale of potential coverage expansion or network enhancement that might be required to bridge communication gaps within the area.

[0034] Furthermore, the method comprises calculating the second size of the non-customer residential area at the second moment of time. The term "second size" refers to an updated measurement of the non-customer residential area during the second moment of time. The second moment of time represents a later period, distinct from the first period of time. Typically, the non-customer residential area is revisited using updated data and information collected at the second moment of time. This data may include any changes in the building locations, alterations in network device presence, or adjustments in residential occupancy. In particular, calculating the second size provides insight of change in the area over time in terms of the communication network. Optionally, the difference between the first moment of time and the second moment of time may be of 15 days, 1 month, 3 months, 6 months or 12 months, and so on.

[0035] Furthermore, the method comprises identifying the change of the size of the non-customer residential area between the first moment of time and the second moment of time by comparing the first size and the second size. In this regard, the method is configured to compare the dimensions of the non-customer residential area as measured during the first moment of time and the second moment of time. Comparing the first size and the second size provides insight of alterations over the time interval. In particular, the increase in the non-customer residential area may indicate the network coverage gaps that expanded, potentially due to factors such as population growth or insufficient network infrastructure. Conversely, a reduction in the size of the non-customer residential area may suggest improvements in connectivity. Beneficially, it aids in identifying areas that require immediate attention, resources, and targeted network expansion.

[0036] Notably, the method comprises managing the deployment of the communication network within the area, based on the identified change of the size. Herein, the term "managing" the deployment of the communication network within the area refers to a process of planning, organising, and implementing an infrastructure of the communication network within the area. This could possibly involve making decisions about where to arrange network elements (for example, such as base stations, antennas, routers, and other equipment) within the area, in order to ensure that users within the area have seamless and reliable network connectivity. It will be appreciated that the deployment of the communication network would be dynamic because it continuously adapts to evolving conditions, such as changes in network demand, user locations, technological advancements, and the like. As an example, as more users connect to a network or as their data usage increases, the operator may need to upgrade infrastructure (such as, adding more base stations or increasing bandwidth) in high-demand areas to prevent congestion and maintain network performance. As another example, when users move to new locations or when new residential or commercial developments are built, the operator can adjust the network by extending coverage to such new locations or developments, ensuring that the users would have a reliable network connectivity. As yet another example, as upgraded technologies (such as a 5G or a 6G technology) become available, the operator may update existing infrastructure or deploy new equipment to take advantage of faster speeds, better capacity, or more efficient network management, thus improving overall service quality for the users. Thus, it may be understood that a goal of managing the deployment of the communication network is to ensure that the communication network provides a reliable coverage, a sufficient capacity, and a high performance to meet needs of the users within the area.

[0037] Further, when the deployment of the communication network is managed based on the identified change of the size of the non-customer residential area, it means that the operator utilised information pertaining to changes in areas lacking network coverage to guide decisions regarding where to expand the network within the area and to what extent such an expansion of the network is to be done. In other words, the operator manages the deployment of the communication network, for example, by making informed decisions on where to allocate which resource, install new network infrastructure, enhance existing network elements, and the like, by taking into account an increase or a decrease in the size of the non-customer residential areas (namely, areas without customer stationary network devices).

[0038] It will be appreciated that an importance of managing said deployment of the communication network, based on the identified change in the size lies in a need to efficiently allocate resources and ensure comprehensive network coverage within the area. When a size of the non-customer residential area increases, it indicates that more residential buildings are without network coverage, potentially due to population growth, new constructions, or other factors. Thus, in such a case, the operator may decide to expand the infrastructure of the communication network, for example, by installing new base stations, deploying additional antennas, or enhancing a capacity of existing communication network elements to cover underserved regions within the area. On the other hand, a decrease in the size of the non-customer residential area indicates that a previous network deployment has been successful in reducing network coverage gaps. In such a scenario, the operator may choose to maintain a current network infrastructure, while potentially re-allocating resources to other regions within the area that still lack any network coverage. By tracking the change in the size, the operator could prioritise those regions within the area where investment is needed most (namely, focussing on underserved regions within the area), avoiding unnecessary expenditure in those regions within the area where a network coverage is already quite sufficient.

[0039] It will also be appreciated that the aforesaid deployment could be managed based on changes in the non-customer residential area at regular intervals, for example, such as 15 days, 1 month, 3 months, 6 months, 12 months, or any another specified time frame, as discussed earlier. A regular monitoring may allow the operator to respond promptly to changes in the area, such as new residential developments, shifts in population density, or changes in occupancy of buildings. By comparing the size of the non-customer residential area at different time instants, the operator may identify trends and make timely decisions to expand or improve the communication network accordingly.

[0040] The technical benefits of managing the deployment of the communication network within the area are multifold. By comparing the first size and the second size, the method of the present disclosure provides the operator a clear understanding of changes in network coverage gaps over time. Such a comparison allows for identifying trends in network performance, highlighting regions in the areas where network connectivity is deteriorating or improving. Specifically, by identifying those regions within the area where the non-customer residential area has increased, the operator can ensure that resources are invested in said regions which actually need proper network coverage. This likely improvs an overall efficiency of a communication network deployment, as it provides seamless connectivity and communication services for users in said regions. Moreover, by avoiding unnecessary investments in regions within the area that already have sufficient network coverage facilitates in reducing overall deployment costs, enabling the operator to allocate resources effectively to only underserved regions within the area. Furthermore, by continually adjusting the deployment based on latest data pertaining non-customer residential areas (for example, such as by enabling dynamic and adaptive planning of network resources), the operator can ensure that the communication network is well-suited to meet the current demand. An ability to manage the deployment based on real-time data allows the operator to quickly adapt to changes within the area, such as new residential developments or shifts in population density, ensuring that the communication network evolves in step with different needs of the users within the area. Managing the deployment of communication network based on the identified change involves a comprehensive evaluation of various factors, for example, such as a geographical layout, a population density and growth, user demands, an existing network infrastructure, technological requirements, and the like. By incorporating such factors into the management of the deployment of communication network, the method enables in arranging and configuring network elements in an optimal (namely, improved) manner. Since such a deployment is based on real-time and historical data analysis, the communication network would be robust and responsive, thereby ensuing seamless connectivity and superior communication services for users in the area. Advantageously, in this way, it can be ensured that the communication network remains robust, scalable, and capable of meeting different needs of the users within the area, while also being cost-effective and strategically planned.

[0041] In an example, there may be a town where an operator is providing internet services via a communication network. Initially, there may be some non-customer residential areas where the communication network doesn't reach, and users of such areas cannot use the internet services. Over time, the operator monitors these non-customer residential areas and notices that more houses are being built in at least one of the non- customer residential areas, increasing a number of users without network coverage. In such a case, the operator plans to install new network equipment in said areas to provide internet services. After some months, the operator checks again and finds that a size of the non-customer residential area has decreased, because the new network equipment is working, and more houses now have internet access. This way, the operator efficiently managed to expand the communication network based on a changing needs of the town, ensuring that more users can use the internet services, without wasting resources on areas that already have a good network coverage.

[0042] Optionally, identifying locations of the customer stationary mobile devices comprises identifying locations of mobile devices, which based on the mobile network usage data are not moving and consume more than the predetermined amount of data. In this regard, identifying the stationary mobile devices that consume more than the predetermined amount of data and remain immobile within specific areas to identify specific usage patterns, thereby contributing to understand network dynamics and facilitating communication network planning. The technical effect is achieved by analysing mobile network usage data that exhibit stationary behaviour and consume data surpassing the predetermined threshold thereby contributing to efficient resource allocation, targeted coverage enhancements, and better user experience, driven by the identification of locations where high-data-consuming, stationary mobile devices are present. Furthermore an additional technical effect of identification of stationary mobile devices, is that it can be used for planning on extending fixed line networks to said locations of the stationary mobile devices. This frees radio resources for "true" mobile devices i.e devices which are carried with persons.

[0043] Optionally, the mobile devices are deemed not to be moving if a number of handovers from one cell to another is less than predetermined number of handovers over a period of time. In this regard, determining the mobile devices are considered stationary or in motion within the communication network. The term "handover" refers to a process through which a mobile device transitions its connection from cell to another as the user moves. Typically, the handovers are utilised to identify the mobile device is stationary or moving. In particular, if the count of handovers executed by the mobile device from one cell to another remains below a predetermined threshold value over a specific period of time, that mobile device is categorized as not moving. However, if the number of times the mobile device switches between different cells is less than a predefined number, it is inferred that the mobile device is stationary within the period of time. In other words, if the mobile devices remain within a certain proximity to the specific cell and doesn't frequently handover to adjacent cells, it is considered to be stationary. Conversely, if the mobile devices frequently change cells, it implies movement across areas covered by different cell. This utilizes the natural behaviour of the mobile devices within a network to determine the movement. A technical effect of identifying the handovers of the mobile devices is that it helps to form decisions related to the communication network optimization, resource allocation, and coverage planning. Counting number of handovers over period of time is calculationally cost efficient way to distinguish between stationary mobile device and mobile devices which are moving. This, calculation of handover events, can be done either in network side or in mobile terminal.

[0044] Optionally, calculating the first size of the non-customer residential area and the second size of the non-customer residential area comprises calculating a total number of second residential buildings without customer stationary network devices in the residential area, determining a spatial arrangement of the calculated total number of second residential buildings without customer stationary network devices relative to each other, and determining a type of the residential buildings.

[0045] In this regard, the counting of residential buildings without the customer stationary network devices in the residential area is calculated. The term "spatial arrangement" refers to an arrangement of the residential buildings are situated in relation to each other within an area lacking the network coverage due to the absence of the customer stationary network devices. Typically, the locations of the second residential buildings are assessed in relation to one another. The spatial arrangement of the second residential buildings within the area helps in identifying whether the second residential buildings form a cluster or are dispersed across the area. Furthermore, the residential buildings within the identified group of the second residential buildings are based on specific characteristics to determine size, architectural style, occupancy patterns, or any other relevant criteria that distinguish one type of residential building from another. Optionally, the type of the residential buildings may be selected from apartment house, private house, detached house, semidetached house, mixed-use buildings, and so forth.

[0046] Beneficially, the spatial arrangement helps in calculating the size of the non-customer residential area at both the first and second moments of time. A technical effect of calculating the number of the second residential buildings without the network devices, analysing the spatial arrangement, and categorizing them based on specific attributes, to provide insights into how the area lacking in the network coverage has evolved over time. This information helps in decision-making in communication network planning, helping operators address coverage gaps and optimize network services within the non-customer residential areas.

[0047] Optionally, determining the spatial arrangement comprises determining neighbouring residential buildings without customer stationary network devices. In this regard, the spatial arrangement helps in identifying whether the residential buildings are clustered together, spread out evenly, or follow any discernible pattern. By identifying and examining the spatial arrangement of neighbouring residential buildings without the network devices may gain insights into potential patterns or trends. For example, the residential buildings clustered in close proximity might indicate areas of concentrated network coverage gaps, while scattered buildings might point to dispersed coverage challenges. A technical effect of determining the neighbouring residential buildings without the customer stationary network devices is that it aids in strategic decisionmaking for network expansion, optimization, and improving service quality within the areas lacking network connectivity.

[0048] Optionally, the method further comprises comparing distances between the neighbouring second residential buildings without customer stationary network devices. In this regard, the distances that exist between the residential building within the area is compared, where the network coverage is absent due to the lack of customer stationary network devices. The comparison provides insights into how close or far apart the residential buildings are from one another. For example, closely spaced residential buildings might indicate a high population density in certain areas. In contrast, larger distances between the residential building suggest a less dense configuration. Beneficially, the comparison distances between the neighbouring second residential buildings provide the layout and design of the area and provide network coverage challenges faced by the customer. A technical effect of comparing distances between the neighbouring second residential buildings is that it helps in network infrastructure placement, signal propagation optimization, and strategies to address coverage gaps in the area.

[0049] Optionally, the method further comprises combining the determined locations of the first residential buildings with one or more customer stationary network devices and the determined locations of the second residential buildings without customer stationary network devices with the map data. In this regard, the location of the first residential buildings equipped with one or more customer stationary network devices is determined and is combined with the determined locations of the second residential buildings without customer stationary network devices with the map data. A technical effect of combing the first residential buildings with one or more customer stationary network devices with the locations of the second residential buildings without customer stationary network devices with the map data provides visual depiction of network coverage disparities, helping in identifying opportunities for improving coverage within the area.

[0050] Optionally, the method further comprises pre-determining a threshold and comparing if the change of the size of the non-customer residential area over time is above or below the threshold. In this regard, the term "threshold" herein refers to factors that represent a standard against which the changes in the size of the non-customer residential area can be compared. Typically, the changes in the size of the non-customer residential area that lacks network coverage are measured over time. The change is measured by comparing initial measurements with subsequent measurements. The comparison allows in determining whether the change of size of the non-customer residential area, indicative of network coverage improvement or degradation, exceeds the predetermined threshold or falls below it. Moreover, if the change in the non-customer residential area is above size the threshold, it suggests an alteration is required. Furthermore, if the change is below the threshold, it may imply a gradual or minor shift. A technical effect of employing the threshold guides in decision-making by identifying when improvement in the network coverage is required, thus, ensuring network coverage remains aligned with the intended expectations.

[0051] Optionally, the size of the non-customer residential areas is determined by defining a radius around the location of each of the residential buildings, wherein the radius is the average distance between two base stations within the area. In this regard, a circular boundary around each of the residential buildings within the area is created. The radius is the distance that extends outward from the location of each of the residential buildings. The term "base station" refers to a central hub for transmitting and receiving signals to and from mobile devices within the area. Notably, the base stations are equipped with antennas and communication equipment that facilitate the exchange of signals between mobile devices and the communication network. By using the average distance between two base stations as the radius, the defined circular area around each residential building aligns with expected network coverage. This ensures considerations of factors like signal strength, potential coverage overlap, and the distribution of network infrastructure. Optionally, the method comprises selecting the customer stationary mobile devices depending on if the stationary mobile user's serving site is close to the user's address information based on mobile network customer data. In this regard, the serving site is used for delivering signal strength and network services to the user device. The selection process depends on the serving site to the user's address information. The term is "user's address information" refers to the location provided by the user as their place of residence or primary usage. By comparing the distance between the serving site and the user's address information, the method evaluates how closely these two locations are situated. The customer stationary network devices determined to be physically present at the residential building with the user's address information are eligible for selection. For example, if the customer stationary mobile device is registered, based on user's address information of mobile network customer data, to owner located in Pasila, and the mobile device is situated, e.g. according to serving site, in Turku, such a stationary user will be excluded.

[0052] The present disclosure also relates to the data processing system as described above. Various embodiments and variants disclosed above, with respect to the aforementioned computer-implemented method, apply mutatis mutandis to the data processing system.

[0053] The term "processing system" refers to a system that is capable of processing the program instructions of the computer-implemented method. Optionally, the processing system may, for example, be a microprocessor, a microcontroller, a processing unit, or similar.

[0054] The present disclosure also relates to the computer program as described above. Various embodiments and variants disclosed above, with respect to the aforementioned computer-implemented method and the aforementioned data processing system, apply mutatis mutandis to the computer program. The term "computer program" refers to a software product comprising program instructions executable by the data processing system, for implementing the aforementioned steps of the computer-implemented method.

[0055] The present disclosure also relates to the computer-readable storage medium as described above. Various embodiments and variants disclosed above, with respect to the aforementioned computer-implemented method, the aforementioned data processing system and the aforementioned data processing system, apply mutatis mutandis to the computer-readable storage medium.

[0056] The computer-readable storage medium comprises instructions that can direct the processing system to function in a particular manner, such that the processing system executes steps for a communication network planning in an area. Examples of the computer-readable storage medium includes, but are not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc readonly memory (CD-ROM), a digital versatile disk, a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, or any suitable combination thereof.

[0057] DETAILED DESCRIPTION OF THE DRAWINGS

[0058] Referring to FIG. 1, there are shown steps of a computer-implemented method for a communication network planning in an area, in accordance with an embodiment of the present disclosure. At step 102, locations of residential buildings in the area are determined. At step 104, locations of customer stationary network devices of an operator in the area are identified, wherein the customer stationary network devices comprise fixed network devices and stationary mobile devices. At step 106, based on the determined locations of the residential buildings and the identified locations of the customer stationary network devices, identified, at step 106A, is a first residential buildings with one or more customer stationary network devices, and, at step 106B, a second residential buildings without customer stationary network devices. At step 108, based on the determined second residential buildings without customer stationary network devices, a non-customer residential area is determined. At step 110, a first size of the non-customer residential area is calculated at a first moment of time. At step 112, a second size of the non-customer residential area is calculated at a second moment of time. At step 114, a change of a size of the non-customer residential area between the first moment of time and the second moment of time by is identified comparing the first size and the second size. At step 116, a deployment of the communication network is managed within the area, based on the identified change of the size.

[0059] The steps 102, 104, 106, 108, 110, 112, 114 and 116 are only illustrative and other alternatives can also be provided where one or more steps are added, one or more steps are removed, or one or more steps are provided in a different sequence without departing from the scope of the claims herein.

[0060] Referring to FIGs. 2A, 2B and 2C, illustrated are visual representations of a computer-implemented method for a communication network planning in an area 202, in accordance with an embodiment of the present disclosure.

[0061] As shown in FIG. 2A, locations of residential buildings 204 in the area 202 is determined. Moreover, the locations of customer stationary network devices 206 of an operator in the area 202 three months ago are identified. The customer stationary network devices 206 comprise fixed network devices 208 (as depicted by triangles) and stationary mobile devices 210 (as depicted by squares). Furthermore, the residential buildings 204 without customer stationary network devices 212 is determined (as depicted by dots). As shown a first size of a noncustomer residential area 214 (as depicted by circles) at a first moment of time (herein three months ago) is determined. The non-customer residential areas 214 is determined by defining a radius around the location of each of the residential building 204.

[0062] As shown in FIG. 2B, the locations of customer stationary network devices 206 in the area 202 currently is depicted. The residential buildings 204 without customer stationary network devices 206 is increased. As shown, since the second size of the non-customer residential area 214 at a second moment of time (current time), the non-customer residential area 214 are over lapping.

[0063] As shown in FIG. 2C, the non-customer residential area 214 depicts that other operator is dominating the area 202. The change of the size of the non-customer residential area 214 over time is measured. If the size of the non-customer residential area 214 above the threshold, then it can be inferred that the other operator is dominating the area 202.

[0064] Referring to FIGs. 3A and 3B, illustrated are visual representations of change in a non-customer residential area 302 over a period of time, in accordance with an embodiment of the present disclosure. As shown in FIG. 3A, the non-customer residential area 302 three months ago is depicted by circles. As shown in FIG. 3B, a new expanded non-customer residential area 304 is depicted by triangles. As shown, the new non- customer residential area will be equal to a sum of the non-customer residential area 302 three months ago and expanded noncustomer residential area 304. The new non-customer residential area depicts the customers disappearing in an area 306 and other operator will dominate the area 306.

Claims

CLAIMS1. A computer-implemented method for a communication network planning in an area (202, 306) comprising residential buildings (204), the method comprising determining locations of residential buildings in the area; identifying locations of customer stationary network devices (206) of an operator in the area, wherein the customer stationary network devices comprise fixed network devices (208) and stationary mobile devices (210); identifying, based on the determined locations of the residential buildings and the identified locations of the customer stationary network devices, a first residential buildings with one or more customer stationary network devices, and a second residential buildings without customer stationary network devices; based on the determined second residential buildings without customer stationary network devices, determining a non-customer residential area; calculating a first size of the non-customer residential area (214, 302, 304) at a first moment of time; calculating a second size of the non-customer residential area at a second moment of time; identifying a change of a size of the non-customer residential area between the first moment of time and the second moment of time by comparing the first size and the second size; and managing a deployment of the communication network within the area, based on the identified change of the size.

2. The method according to claim 1, wherein determining locations of residential buildings (204) in the area (202, 306) comprises obtaining amap data of the area, the map data comprising location data of the residential buildings and identification data of the residential buildings.

3. The method according to claim 1 or 2, wherein identifying the locations of the customer stationary network devices (206) comprises collecting customer data of one or more operators of the stationary network, wherein the customer data comprises at least one of subscription details, a mobile network usage data, support interactions, user preferences, network performance data, device information; obtaining network usage data of the stationary network; and obtaining user device data of the stationary network.

4. The method according to any of the preceding claims, wherein identifying locations of the customer stationary mobile devices (210) comprises identifying locations of mobile devices, which based on the mobile network usage data are not moving and consume more than the predetermined amount of data.

5. The method according to claim 4, wherein the mobile devices are deemed not to be moving if a number of handovers from one cell to another is less than predetermined number of handovers over a period of time.

6. The method according to any of the preceding claims, wherein calculating the first size of the non-customer residential area (214, 302, 304) and the second size of the non-customer residential area comprises calculating a total number of second residential buildings without customer stationary network devices (206) in the residential area, determining a spatial arrangement of the calculated total number of second residential buildings without customer stationary network devices relative to each other, and determining a type of the residential buildings (204).

7. The method according to any of the preceding claims, wherein determining the spatial arrangement comprises determining neighbouring residential buildings (204) without customer stationary network devices.

8. The method according to any of the preceding claims, wherein the method further comprises comparing distances between the neighbouring second residential buildings without customer stationary network devices.

9. The method according to any of the preceding claims, wherein the method further comprises combining the determined locations of the first residential buildings with one or more customer stationary network devices (206) and the determined locations of the second residential buildings without customer stationary network devices with the map data.

10. The method according to any of the preceding claims, wherein the method further comprises pre-determining a threshold and comparing if the change of the size of the non-customer residential area (214, 302, 304) over time is above or below the threshold.

11. The method according to any of the preceding claims, wherein the size of the non-customer residential areas is determined by defining a radius around the location of each of the residential building (204), wherein the radius is average distance between two base stations within the area (202, 306).

12. The method according to any of the preceding claims, wherein the method comprises selecting the customer stationary mobile devices (210) depending on if the stationary mobile user's serving site is close to the user's address information based on mobile network customer data.

13. A data processing system for a communication network planning in an area (202, 306) comprising residential buildings (204), the system comprising means for carrying out the method of any one of claims 1-12.

14. A computer program for a communication network planning in an area (202, 306) comprising residential buildings (204), the computer program comprising instructions which, when the program is executed by a data processing system, cause the data processing system to carry out the method of any one of claims 1-12.

15. A computer-readable storage medium comprising instructions for a communication network planning in an area (202, 306) comprising residential buildings (204), which when executed by a data processing system, cause the data processing system to carry out the method of any one of claims 1-12.

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