{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853701","patent":{"patent_number":"US-9853701","title":"Adaptive sounding in wireless networks","assignee":null,"inventors":[],"filing_date":"2017-01-20T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04B","H04B","H04B","H04B","H04L"],"num_claims":20,"abstract":"An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with multiple receiver antennas concurrently via multiple transmit antennas. The control circuitry may execute an adaptive sounding process that may include, for each client connected to the communications device, performing a follow-up sounding for the client in response to determining that all of the following conditions are jointly satisfied: (a) a wireless channel of the client has significantly changed, as determined based on a channel correlation metric; (b) a wireless throughput has significantly decreased, as determined based on a throughput gradient metric; and (c) the client had a significant amount of recent traffic, as determined based on a traffic metric."},"analysis":{"summary":"The Adaptive Sounding in Wireless Networks patent introduces a dynamic approach to optimizing wireless communication by adaptively adjusting the sounding process. The core innovation lies in enhancing network throughput and reducing latency through real-time monitoring of channel conditions, traffic patterns, and throughput metrics. This technology addresses the problem of inefficient resource allocation in traditional wireless networks, which often rely on static or periodic sounding processes that fail to adapt to dynamically changing environments.\n\nThe key technical approach involves continuously assessing channel correlation, throughput gradients, and traffic metrics for each client connected to the network. When all three conditions—significant channel change, decreased throughput, and substantial recent traffic—are jointly satisfied, the system prioritizes follow-up sounding for that client. This adaptive mechanism ensures that network resources are allocated where they are most needed, thereby improving overall network performance.\n\nThe business value of this technology is substantial, particularly in high-density environments where wireless networks often struggle to maintain consistent performance. By optimizing resource allocation and reducing latency, this system can enhance user experience, increase productivity, and unlock new opportunities for innovation in wireless communication. Potential applications range from improving Wi-Fi performance in office buildings and public spaces to enhancing the reliability of wireless communication in industrial settings.\n\nThe market opportunity for Adaptive Sounding in Wireless Networks is significant, driven by the increasing demand for faster and more reliable wireless connectivity. As the number of connected devices continues to grow, the need for efficient and adaptive wireless communication solutions will only intensify, making this technology a valuable asset in the evolving landscape of wireless communication.","layman_explanation":"Adaptive Sounding in Wireless Networks addresses the challenge of maintaining optimal wireless performance in environments where network conditions are constantly changing. Traditional wireless networks often struggle to adapt to these dynamic conditions, leading to reduced throughput and increased latency.\n\nThe problem is that existing wireless systems typically use static or periodic methods to assess and adjust network parameters. These methods are not responsive to real-time changes in channel conditions, traffic patterns, and user demands. As a result, network resources are not always allocated efficiently, leading to suboptimal performance.\n\nThis technology works by continuously monitoring key network metrics, such as channel quality, data traffic, and transmission speeds. When it detects that a user's connection is experiencing problems, it dynamically adjusts the network parameters to improve performance. This is similar to how a smart thermostat adjusts the temperature in your home based on real-time conditions.\n\nThis matters because it can significantly improve the user experience, particularly in high-density environments where many devices are connected to the same network. By optimizing resource allocation and reducing latency, it can enhance productivity, enable new applications, and improve overall network efficiency. The potential ROI is substantial, driven by increased customer satisfaction and reduced operating costs.\n\nLooking ahead, this technology could be further enhanced by incorporating machine learning algorithms to predict future network conditions and proactively adjust network parameters. Market adoption is expected to increase as the demand for faster and more reliable wireless connectivity continues to grow. The investment implications are significant, as this technology has the potential to transform the way wireless networks are managed and optimized.","technical_analysis":"The Adaptive Sounding in Wireless Networks patent details a method for dynamically adjusting the sounding process in wireless networks to optimize performance. The technical architecture centers around a control circuitry that monitors channel conditions, traffic patterns, and throughput metrics. The control circuitry executes an adaptive sounding process triggered by specific conditions related to individual clients.\n\nImplementation involves continuously assessing channel correlation, throughput gradients, and traffic metrics. Channel correlation is used to determine if a wireless channel has significantly changed. Throughput gradients indicate if wireless throughput has significantly decreased. Traffic metrics quantify the amount of recent traffic for a client. The system performs a follow-up sounding when all three conditions are met: significant channel change, significant throughput decrease, and a significant amount of recent traffic.\n\nThe algorithm prioritizes clients needing the most attention, ensuring resources are allocated efficiently. Integration patterns involve seamless integration with existing wireless communication systems. Performance characteristics include improved network throughput, reduced latency, and enhanced user experience, particularly in high-density environments.\n\nCode-level implications require efficient data processing algorithms for real-time monitoring and decision-making. The adaptive sounding process needs to be optimized to minimize overhead and maximize the benefits of dynamic resource allocation. This patent offers a viable approach to enhance wireless network performance in dynamic environments.","business_analysis":"The Adaptive Sounding in Wireless Networks patent presents a significant business opportunity in the rapidly expanding wireless communication market. The market opportunity size is substantial, driven by the increasing demand for faster and more reliable wireless connectivity across various sectors, including enterprise, consumer, and industrial applications. The need for efficient and adaptive wireless solutions is particularly acute in high-density environments, where traditional wireless networks often struggle to maintain consistent performance.\n\nThis technology offers several competitive advantages, including improved network throughput, reduced latency, and enhanced user experience. By dynamically adjusting the sounding process based on real-time channel conditions, traffic patterns, and throughput metrics, the system can optimize resource allocation and minimize the impact of dynamic channel changes. This adaptive approach provides a significant advantage over static or periodic sounding processes, which are less effective in dynamic environments.\n\nThe revenue potential for this technology is substantial. Potential business models include licensing the technology to wireless equipment manufacturers, integrating it into existing wireless communication systems, and offering it as a service to network operators. Strategic positioning involves targeting high-density environments, such as office buildings, public spaces, and industrial facilities, where the benefits of adaptive sounding are most pronounced.\n\nROI projections indicate a strong return on investment, driven by increased network efficiency, reduced operating costs, and enhanced customer satisfaction. By improving network throughput and reducing latency, this technology can enable new revenue streams and enhance the competitiveness of wireless service providers.","faqs":null,"topics":["adaptive sounding","wireless networks","network optimization","wireless communication","throughput","adaptive","sounding","wireless"],"tech_cluster":null},"seo":{"title":"Adaptive Sounding in Wireless Networks - Patent US-9853701","description":"Optimize wireless networks with adaptive sounding! Discover how this patent improves throughput and reduces latency by dynamically adjusting to channel conditions.","keywords":["adaptive sounding","wireless networks","network optimization","wireless communication","throughput","latency","patent","patent US-9853701"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853701","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-9853701","citation_suggestion":"Patentable. \"Adaptive sounding in wireless networks\" (US-9853701). https://patentable.app/patents/US-9853701","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853701","json":"https://patentable.app/api/llm-context/US-9853701","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T08:19:46.506Z"}