{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854494","patent":{"patent_number":"US-9854494","title":"Evolutionary algorithms for geographic load balancing using a distributed antenna system","assignee":null,"inventors":[],"filing_date":"2015-08-27T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04W","H04W","H04W","H04W","H04W"],"num_claims":18,"abstract":"Methods and apparatuses are presented for balancing non-uniformly distributed network traffic in a wireless communications system having a plurality of digital remote units (DRUs). In some embodiments, a method comprises partitioning the plurality of DRUs into a plurality of DRU sectors, and dynamically repartitioning the plurality of DRU sectors depending on traffic conditions in at least one of the DRU sectors, such that the repartitioning satisfies at least one of a soft capacity constraint or a hard capacity constraint. The dynamic repartitioning may be based on at least one optimization algorithm."},"analysis":{"summary":"The Evolutionary Algorithms for Geographic Load Balancing Using a Distributed Antenna System patent addresses the challenge of non-uniformly distributed network traffic in wireless communication systems. The core innovation lies in dynamically repartitioning digital remote units (DRUs) based on real-time traffic conditions using evolutionary algorithms. This approach ensures optimal network performance by satisfying soft and hard capacity constraints. The problem being solved is the inefficiency of static network configurations in adapting to fluctuating traffic patterns, leading to congestion and degraded user experience. The key technical approach involves partitioning the DRUs into a plurality of sectors and continuously monitoring traffic conditions. Evolutionary algorithms then adjust the sector boundaries to balance the load across the network. The business value lies in improved network performance, enhanced user experience, and increased network capacity. This technology is applicable to a wide range of industries, including telecommunications, mobile network operators, and wireless infrastructure providers. The market opportunity is significant, driven by the increasing demand for seamless connectivity and the growing reliance on wireless networks. By dynamically adapting to changing traffic conditions, this system offers a more efficient and robust solution compared to traditional static approaches. This innovation has the potential to revolutionize wireless communication systems, providing users with a more reliable and seamless experience.","layman_explanation":"The Evolutionary Algorithms for Geographic Load Balancing Using a Distributed Antenna System patent addresses a common problem in wireless communication: network congestion. Imagine a highway where too many cars are trying to use the same lane – traffic slows to a crawl. Similarly, when too many users are trying to access a wireless network in the same area, performance degrades. Existing solutions often fall short because they are static and cannot adapt to changing traffic patterns. This technology offers a dynamic solution by intelligently reconfiguring the network in real-time. It works by dividing the network into smaller sections and then using sophisticated algorithms to adjust the boundaries of these sections based on current traffic conditions. Think of it as a smart traffic controller that redirects cars to less congested lanes. The algorithms continuously monitor network performance and make adjustments to optimize the overall efficiency. This matters because it leads to improved network performance, enhanced user experience, and increased network capacity. It can be applied in various settings, such as densely populated urban areas, large office buildings, and public venues. The potential benefits include faster download speeds, more reliable connections, and reduced latency. In the future, this technology could be integrated into a wide range of wireless devices and infrastructure, leading to a more seamless and efficient wireless experience. Market adoption is expected to increase as the demand for wireless bandwidth continues to grow. From an investment perspective, this technology represents a promising opportunity in the rapidly evolving wireless communication market.","technical_analysis":"The Evolutionary Algorithms for Geographic Load Balancing Using a Distributed Antenna System patent details a method for dynamically optimizing wireless network performance through intelligent load balancing. The technical architecture involves a distributed antenna system (DAS) comprising multiple digital remote units (DRUs) strategically placed to provide network coverage. The implementation relies on partitioning these DRUs into sectors, allowing for granular control over resource allocation. The core of the system is an evolutionary algorithm designed to optimize the sector configuration based on real-time traffic conditions. This algorithm continuously monitors network performance metrics, such as throughput, latency, and signal quality, and adjusts the sector boundaries to maximize overall efficiency. The algorithm's fitness function is carefully designed to balance competing objectives, such as minimizing congestion and maximizing user throughput. The integration patterns involve seamless communication between the DRUs and a central processing unit, which is responsible for executing the evolutionary algorithm and coordinating the sector repartitioning. Performance characteristics are significantly improved compared to static network configurations. The dynamic repartitioning of DRUs allows the network to adapt to fluctuating traffic patterns, minimizing congestion and maximizing throughput. Code-level implications involve the development of efficient algorithms for data collection, processing, and optimization. The system also requires robust communication protocols to ensure seamless coordination between the DRUs and the central processing unit. This technology has the potential to significantly improve the performance and reliability of wireless networks, particularly in densely populated areas or during peak usage times.","business_analysis":"The Evolutionary Algorithms for Geographic Load Balancing Using a Distributed Antenna System patent presents a significant business opportunity in the rapidly growing wireless communication market. The market opportunity size is substantial, driven by the increasing demand for seamless connectivity and the proliferation of mobile devices. The competitive advantages of this technology stem from its ability to dynamically optimize network performance, providing a more efficient and robust solution compared to traditional static approaches. The revenue potential is significant, with opportunities for licensing, software development, and network infrastructure upgrades. The business model can be based on software-as-a-service (SaaS), providing network operators with a cloud-based platform for managing and optimizing their wireless networks. Strategic positioning involves targeting mobile network operators, wireless infrastructure providers, and enterprise customers seeking to improve their wireless network performance. ROI projections are promising, with the potential for significant cost savings through reduced congestion, improved user experience, and increased network capacity. This technology offers a compelling value proposition for businesses seeking to stay ahead in the competitive wireless communication market. The ability to dynamically adapt to changing traffic conditions provides a significant competitive advantage, allowing network operators to deliver a superior user experience and maximize their return on investment.","faqs":null,"topics":["wireless networks","load balancing","distributed antenna system","evolutionary algorithms","DRU sectors","evolutionary","algorithms","geographic"],"tech_cluster":null},"seo":{"title":"Dynamic Load Balancing with Evolutionary Algorithms - Patent US-9854494","description":"Discover how Evolutionary Algorithms for Geographic Load Balancing Using a Distributed Antenna System optimizes wireless networks. Full patent analysis, claims, and technical details.","keywords":["wireless networks","load balancing","distributed antenna system","evolutionary algorithms","DRU sectors","network optimization","patent","patent US-9854494"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854494","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-9854494","citation_suggestion":"Patentable. \"Evolutionary algorithms for geographic load balancing using a distributed antenna system\" (US-9854494). https://patentable.app/patents/US-9854494","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854494","json":"https://patentable.app/api/llm-context/US-9854494","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T13:14:26.842Z"}