{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854509","patent":{"patent_number":"US-9854509","title":"Motion-based kinetic fingerprint radio selection","assignee":null,"inventors":[],"filing_date":"2015-07-13T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04W","H04W","H04W","H04W","H04W"],"num_claims":15,"abstract":"Motion adaptive wireless user equipment (UE) in a wireless network are provided. Kinetic information is leveraged to select a preferred radio (or radio technology) or adapt a reselection scanning interval. This can serve to improve the performance of a UE by reducing the amount of power expended in maintaining an adequate level of connectedness to the wireless network components in the face of UE movement. In a further aspect, kinetic power generators can be employed as a source of UE transit data. Kinetic fingerprints can be compared to UE transit data, e.g., that acquired from a kinetic generator of the UE, to facilitate selection of preferred radios and reselection intervals. In this aspect, radio selection schema and reselection scanning schema can effectively be selected with little to no drain on a UE power source."},"analysis":{"summary":"Motion-based Kinetic Fingerprint Radio Selection is an innovative patent that optimizes wireless user equipment (UE) performance by leveraging kinetic information to select the preferred radio or radio technology and adapt the reselection scanning interval. The problem addressed is the inefficient power consumption and suboptimal network performance of mobile devices due to fixed scanning intervals or reliance on signal strength alone. This technology uses kinetic data, such as speed, direction, and acceleration, to predict the user's future location and network needs. Kinetic fingerprints are compared to UE transit data, potentially acquired from kinetic power generators, to facilitate the selection of preferred radios and reselection intervals. The business value lies in improved UE performance, extended battery life, and reduced network congestion. The market opportunity includes integration into smartphones, tablets, vehicles, and wireless network infrastructure. This approach can significantly improve the user experience and reduce the operational costs associated with maintaining wireless connectivity. By dynamically adapting to user movement, this technology offers a more efficient and reliable solution for wireless communication, enhancing the overall performance and longevity of mobile devices while optimizing network resource allocation. The use of kinetic power generators as a data source further enhances the energy efficiency of the system, creating a self-sustaining approach to radio selection and reselection.","layman_explanation":"Motion-based Kinetic Fingerprint Radio Selection addresses the problem of inefficient wireless connectivity on mobile devices. Existing solutions often rely on static or reactive methods for selecting the best radio signal, leading to wasted battery power and inconsistent performance, especially when users are in motion.\n\nThis technology works by using the device's motion sensors (like those that detect if you're walking or running) to anticipate the user's network needs. Instead of constantly searching for the strongest signal, the device uses its knowledge of the user's movement to predict which radio signal will be most suitable in the near future. Think of it like a GPS for your radio signal, guiding you to the best connection based on where you're going.\n\nThis matters because it can significantly improve battery life and provide a more seamless user experience. Imagine watching a video on your phone while riding the bus without constant buffering or dropped connections. For businesses, this means more reliable communication for mobile employees and better performance for applications that rely on consistent network connectivity. The market impact is substantial, with potential applications in smartphones, tablets, connected vehicles, and other mobile devices. This technology offers a competitive advantage by providing a more efficient and user-friendly wireless experience.\n\nLooking ahead, this technology could be further integrated with other sensors and data sources to create even more sophisticated and adaptive wireless systems. As mobile devices become increasingly reliant on wireless connectivity, innovations like Motion-based Kinetic Fingerprint Radio Selection will be crucial for optimizing performance and enhancing the user experience. From an investment perspective, companies that develop and implement this technology could see significant returns as the demand for seamless wireless connectivity continues to grow.","technical_analysis":"Motion-based Kinetic Fingerprint Radio Selection employs a sophisticated technical architecture to optimize radio selection in wireless networks. The system begins with a motion-sensing module that collects kinetic data from the user equipment (UE), including parameters like speed, direction, and acceleration. This data is then processed by a kinetic fingerprinting algorithm, which analyzes movement patterns to predict future location and network requirements. The algorithm may utilize machine learning techniques to adapt to diverse user behaviors and environmental conditions. The processed kinetic data is fed into a radio resource management module, which selects the most appropriate radio technology (e.g., LTE, Wi-Fi, 5G) and adjusts the reselection scanning interval. This module considers factors such as signal strength, network load, and kinetic data to make informed decisions. Implementation details involve seamless integration with existing wireless network infrastructure, requiring modifications to network protocols and signaling mechanisms. The system's performance characteristics are optimized to reduce power consumption, minimize handover latency, and improve data throughput. Code-level implications include the development of efficient algorithms for kinetic data processing, radio selection, and network communication. The system's integration patterns involve APIs for accessing motion sensor data and communicating with network infrastructure. The use of kinetic power generators as a data source adds another layer of technical complexity, requiring efficient energy harvesting and data management techniques. The overall architecture is designed to be scalable and adaptable to various mobile devices and network environments.","business_analysis":"Motion-based Kinetic Fingerprint Radio Selection presents a significant market opportunity within the wireless communication industry. The core value proposition is improved user experience through enhanced connectivity, reduced power consumption, and optimized network performance. The market size includes the vast and growing mobile device market, as well as the expanding market for connected vehicles and IoT devices. Competitive advantages stem from the technology's ability to dynamically adapt to user movement, providing a more efficient and reliable solution compared to traditional static radio selection methods. Revenue potential can be realized through licensing agreements with mobile device manufacturers, network operators, and automotive companies. Business models include software licensing, hardware integration, and subscription-based services. Strategic positioning involves partnering with key players in the wireless ecosystem to integrate this technology into their products and services. ROI projections indicate significant returns based on the reduced operational costs for network operators and the increased user satisfaction for mobile device users. The technology's ability to leverage kinetic power generators as a data source further enhances its commercial appeal, creating a self-sustaining and environmentally friendly solution. The overall business impact is a more efficient and reliable wireless communication system that benefits both users and network providers.","faqs":null,"topics":["motion-based radio selection","kinetic fingerprint","wireless optimization","mobile connectivity","radio resource management"],"tech_cluster":null},"seo":{"title":"Motion-based Kinetic Fingerprint Radio Selection - Patent US-9854509","description":"Discover how Motion-based Kinetic Fingerprint Radio Selection optimizes wireless connections using movement data. Full patent analysis, claims, and technical details.","keywords":["motion-based radio selection","kinetic fingerprint","wireless optimization","mobile connectivity","radio resource management","patent","patent US-9854509"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854509","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-9854509","citation_suggestion":"Patentable. \"Motion-based kinetic fingerprint radio selection\" (US-9854509). https://patentable.app/patents/US-9854509","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854509","json":"https://patentable.app/api/llm-context/US-9854509","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T08:36:00.532Z"}