{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854513","patent":{"patent_number":"US-9854513","title":"Method and network node for determining a recommended cell for a user equipment","assignee":null,"inventors":[],"filing_date":"2013-01-22T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04W","H04W"],"num_claims":13,"abstract":"A cell is recommended to a first user equipment for selection during its cell selection process, wherein the recommendation is based on a performance parameter between the cell and a second user equipment, wherein the recommendation is based on a determined degree of similarity between the first user equipment and the second user equipment."},"analysis":{"summary":"The Method and Network Node for Determining a Recommended Cell for a User Equipment patent introduces an innovative approach to cell selection in wireless communication networks. The core innovation is a method for recommending a cell to a user equipment (UE) based on performance parameters between the cell and other UEs, as well as the determined degree of similarity between the requesting UE and those already connected. This technology addresses the problem of network congestion and suboptimal cell assignments, which often lead to poor data rates, dropped connections, and a degraded user experience. \n\nThe key technical approach involves collecting performance data from various cells, such as signal strength, data rates, and latency, and analyzing the usage patterns of different UEs. The system then determines the similarity between UEs based on factors such as the types of applications being used, the amount of data being transmitted, and the mobility patterns of the UEs. This information is used to recommend cells to UEs during the cell selection process, prioritizing cells that have available resources and are a good fit for the UE's needs. \n\nThe business value of this technology lies in its ability to improve network performance, reduce congestion, and enhance the user experience. By intelligently matching UEs to cells, network operators can optimize resource allocation and deliver improved service quality to subscribers. This can lead to increased user satisfaction, reduced churn, and new revenue opportunities. The market opportunity for this technology is significant, as the demand for wireless data continues to grow and networks become increasingly congested. The Method and Network Node for Determining a Recommended Cell for a User Equipment provides a valuable tool for network operators to manage their resources more efficiently and deliver a better user experience.","layman_explanation":"The Method and Network Node for Determining a Recommended Cell for a User Equipment patent addresses the common problem of poor cell service and network congestion that many mobile users experience. In simple terms, this technology aims to improve the way your phone connects to the best available cell tower, ensuring a smoother and more reliable connection. \n\n**What Problem Does This Solve?**\nImagine a highway with many cars trying to use the same lane. This causes traffic jams and slows everyone down. Similarly, in a cellular network, many users often try to connect to the same cell tower, leading to network congestion and poor performance. Existing solutions often fall short because they don't dynamically adapt to changing network conditions and individual user needs. They might connect you to a cell tower that is already overloaded, resulting in slow data rates and dropped calls. \n\n**How Does It Work?**\nThis technology works by intelligently recommending the best cell tower for your phone based on two key factors: the performance of the cell tower and the similarity of your usage patterns to other users connected to that tower. It's like a smart traffic controller that directs cars to the least congested lanes. The system collects data on the performance of each cell tower, such as signal strength, data rates, and latency. It also analyzes your usage patterns, such as the types of apps you use and the amount of data you consume. Based on this information, it recommends the cell tower that is most likely to provide you with the best possible service. \n\n**Why Does This Matter?**\nThis technology has the potential to significantly improve the user experience on mobile devices. By reducing network congestion and improving data rates, it can lead to smoother streaming, faster downloads, and fewer dropped calls. This can translate into increased productivity and satisfaction for mobile users. The market impact is significant, as the demand for mobile data continues to grow and networks become increasingly congested. This technology provides a valuable tool for network operators to manage their resources more efficiently and deliver a better user experience. \n\n**What's Next?**\nFuture applications of this technology could include integration with 5G networks and the development of even more sophisticated algorithms for cell selection. The market adoption timeline will depend on the willingness of network operators to invest in and deploy this technology. The investment implications are favorable, as the potential ROI is high due to the cost savings and revenue generation opportunities associated with improved network performance.","technical_analysis":"The Method and Network Node for Determining a Recommended Cell for a User Equipment patent presents a sophisticated technical solution to optimize cell selection in wireless networks. The technical architecture revolves around a network node, typically a base station or a centralized controller, which performs several key functions. First, it collects performance data from various cells, including metrics such as signal strength (RSSI), signal-to-noise ratio (SNR), data rates, and latency. This data is gathered continuously and stored in a database for analysis. Second, the node determines the degree of similarity between user equipments (UEs) based on their usage patterns. This involves analyzing the types of applications being used (e.g., video streaming, web browsing, gaming), the amount of data being transmitted, and the mobility patterns of the UEs. Machine learning algorithms can be employed to cluster UEs with similar characteristics. \n\nThe core of the innovation lies in the cell recommendation algorithm. This algorithm combines the performance data and UE similarity information to generate a ranked list of cells for each UE. The algorithm can be implemented using a weighted scoring system, where each cell is assigned a score based on its performance and the similarity between the UE and other UEs already connected to the cell. The weights can be adjusted dynamically based on network conditions and operator preferences. \n\nThe implementation details involve integrating the patented method into the existing network infrastructure. This requires modifications to the base station software and the development of APIs for data collection and cell recommendation. The system should be designed to operate in real-time, continuously monitoring network conditions and adjusting cell assignments as needed. The performance characteristics of the system depend on the efficiency of the data collection and analysis processes, as well as the complexity of the recommendation algorithm. Code-level implications include the need for efficient data structures and algorithms to handle large volumes of data and perform complex calculations in real-time.","business_analysis":"The Method and Network Node for Determining a Recommended Cell for a User Equipment patent holds significant business potential in the rapidly evolving wireless communication landscape. The market opportunity is substantial, driven by the increasing demand for mobile data and the growing complexity of cellular networks. As the number of connected devices continues to rise, network congestion becomes a major challenge for operators, leading to poor data rates, dropped connections, and a degraded user experience. This technology addresses this problem by intelligently matching UEs to the most suitable cells, thereby optimizing resource allocation and improving network performance. \n\nThe competitive advantages of this patent lie in its ability to dynamically adjust cell assignments based on real-time network conditions and user behavior. This adaptive approach allows the network to respond quickly to changes in traffic patterns and resource availability. Furthermore, the similarity-based recommendation adds a layer of personalization, ensuring that each UE receives the best possible service based on its unique needs. The revenue potential for this technology is multifaceted. Network operators can use it to improve customer satisfaction, reduce churn, and attract new subscribers. They can also offer premium services to users who require higher data rates or lower latency. In addition, the technology can be licensed to equipment vendors and other companies in the wireless ecosystem. \n\nThe business model for this patent could involve a combination of licensing fees, software subscriptions, and professional services. The strategic positioning of the technology is to be a key enabler of next-generation wireless networks, providing a foundation for more intelligent and responsive resource management. ROI projections for this technology are highly favorable, given the potential for significant cost savings and revenue generation. By reducing network congestion and improving user experience, the Method and Network Node for Determining a Recommended Cell for a User Equipment can deliver a substantial return on investment for network operators and other stakeholders.","faqs":null,"topics":["cell selection","network optimization","user equipment","wireless communication","5G","article","provides","technical"],"tech_cluster":null},"seo":{"title":"Intelligent Cell Selection - Method and Network Node for Determining a Recommended Cell for a User Equipment","description":"Discover how the Method and Network Node for Determining a Recommended Cell for a User Equipment optimizes cell selection for improved network performance and user experience. Full patent analysis and claims.","keywords":["cell selection","network optimization","user equipment","wireless communication","5G","patent","patent US-9854513"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854513","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854513","citation_suggestion":"Patentable. \"Method and network node for determining a recommended cell for a user equipment\" (US-9854513). https://patentable.app/patents/US-9854513","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854513","json":"https://patentable.app/api/llm-context/US-9854513","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T02:18:00.551Z"}