Swisscom has been granted a patent for methods and systems that enable data-driven network roll-out planning. The technology involves managing a network with multiple cells by obtaining network data, analyzing user throughput on a sector-by-sector basis, applying growth predictions, and optimizing a network roll-out plan based on the predictions. GlobalData’s report on Swisscom gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on Swisscom, Mobile payments was a key innovation area identified from patents. Swisscom's grant share as of September 2023 was 68%. Grant share is based on the ratio of number of grants to total number of patents.
Data-driven network roll-out planning
A recently granted patent (Publication Number: US11716636B2) describes a method for managing a network that consists of multiple cells. The method involves obtaining network data associated with the network and analyzing the data to assess the throughput of users on a sector-by-sector basis. Based on this analysis, a growth prediction for the network is applied, and a network roll-out plan is optimized accordingly.
The growth prediction is achieved by extrapolating the network data over future periods of time. Additionally, disruptions in historical values for network-related parameters are detected and classified to further refine the growth prediction. This classification involves identifying the type of disturbance.
The analysis of the network data includes congestion detection, which helps identify points of interest associated with the cells. The congestion detection assesses aggregation scenarios for specific sectors in the network, considering probabilities of different cell connection configurations and a predefined minimal throughput level. The achievable data throughput for users in the sector is then evaluated.
The method also involves identifying cells within a sector where congestion primarily occurs. This identification is done by comparing contribution ratios between cells with a balancing ratio. Once the congested cells are identified, the method determines whether the congestion is due to coverage or capacity issues. This determination is made by computing the probability of bad coverage and comparing it with a predefined lower boundary probability.
Different data profiles are computed based on different user profiles, with each profile corresponding to a specific class of service. The method also recommends actions based on the network data, such as installing new macro or small cells, expanding bandwidth, adding antenna elements, or performing load-balancing adjustments.
The optimization of the network roll-out plan involves generating prioritization information and cost optimization information. This information is based on a valuation scheme and/or congestion level. The plan can be further refined by determining or adjusting it based on network-generated and user-generated event traces, as well as network equipment configuration data and historical network data.
Overall, this patented method provides a comprehensive approach to managing a network by analyzing network data, predicting growth, optimizing roll-out plans, and recommending actions based on the analysis. It also takes into account congestion detection, coverage and capacity issues, and different user profiles to ensure efficient network management.
To know more about GlobalData’s detailed insights on Swisscom, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
