{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854591","patent":{"patent_number":"US-9854591","title":"Device, system and method of cell specific probability load balancing","assignee":null,"inventors":[],"filing_date":"2015-09-21T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04W","H04W","H04W","H04W","H04W","H04W"],"num_claims":19,"abstract":"An eNodeB (eNB), user equipment (UE) and method of cell reselection are generally described. While in Radio Resource Control (RRC) Idle mode, the UE may receive via a system information broadcast a cell reselection probability and a cell-specific priority list including a list of neighboring eNBs and their priorities for both macro and small cells operating on at least one frequency different from that of the serving eNB. The UE may generate a random number and compare the random number to the cell reselection probability to determine whether the UE is to reselect. The UE may randomly select among eNBs that have the same, highest priority. The UE may receive a predetermined set of cell reselection criteria from the eNB via a system information broadcast to determine whether or not to perform reselection."},"analysis":{"summary":"The Device, System and Method of Cell Specific Probability Load Balancing patent presents a novel approach to optimizing cell reselection in cellular networks, aiming to improve network performance and user experience. This technology addresses the problem of network congestion by dynamically adjusting cell reselection probabilities and cell-specific priorities, allowing user equipment (UE) to intelligently reselect cells based on real-time network conditions. The core technical approach involves the eNodeB (eNB) broadcasting cell reselection probabilities and priority lists to UEs in RRC Idle mode. The UE then generates a random number and compares it to the cell reselection probability to determine whether to initiate a reselection process, prioritizing neighboring eNBs based on their assigned priorities. This probabilistic approach ensures a more balanced distribution of UEs across the network, preventing overload in certain cells while utilizing available resources in others. The business value lies in the potential to enhance network capacity, reduce latency, and improve user satisfaction, particularly in densely populated areas and during peak usage periods. This offers a significant market opportunity for mobile operators seeking to optimize their infrastructure and deliver a superior mobile experience in an increasingly competitive landscape.","layman_explanation":"1. What Problem Does This Solve?\nIn simple terms, this patent addresses the issue of network congestion in cellular networks. When too many people try to use the same cell tower at the same time, the network slows down, leading to dropped calls, buffering videos, and a frustrating user experience. Existing solutions often fail to adapt to changing traffic patterns, resulting in uneven load distribution and poor performance.\n\n2. How Does It Work?\nThis technology works by dynamically adjusting how your phone chooses which cell tower to connect to. Instead of relying on fixed rules, the cell tower broadcasts information about how likely it is that your phone should switch to a different tower. Your phone then uses this information, along with other factors like signal strength, to make a smart decision about which tower to connect to. It's like a smart traffic controller that directs cars to less congested routes.\n\n3. Why Does This Matter?\nThis innovation has the potential to significantly improve the performance of cellular networks, especially in densely populated areas and during peak usage periods. By distributing users more evenly across the network, it can reduce congestion, increase data speeds, and improve overall user experience. This can lead to increased customer satisfaction and reduced churn for mobile network operators.\n\n4. What's Next?\nThe technology described in this patent can be further developed and integrated into existing network infrastructure. As mobile data demands continue to grow, this type of dynamic load balancing will become increasingly important. The market adoption timeline will depend on the willingness of mobile network operators to invest in and deploy this technology.","technical_analysis":"The Device, System and Method of Cell Specific Probability Load Balancing patent introduces a sophisticated approach to managing user equipment (UE) distribution across cellular networks. At its core, the system relies on the eNodeB (eNB) periodically broadcasting system information that includes cell reselection probability parameters and cell-specific priority lists. These parameters guide the UE's cell reselection process while in Radio Resource Control (RRC) Idle mode. The UE's implementation involves a random number generator and a comparison module. The random number, generated uniformly, is compared against the received cell reselection probability. If the random number is less than the probability, the UE initiates cell reselection procedures. The cell-specific priority list dictates the order in which neighboring eNBs are evaluated for reselection, with higher priority cells being considered first. The algorithm must account for hysteresis and other reselection criteria to prevent ping-ponging effects, where UEs repeatedly switch between cells. Integration with existing network infrastructure requires careful consideration of signaling overhead and compatibility with legacy UEs. Performance characteristics are determined by the accuracy of the cell load estimation and the responsiveness of the probability adjustments. Code-level implications involve modifications to both the eNB and UE software stacks to implement the new reselection logic and signaling protocols.","business_analysis":"The Device, System and Method of Cell Specific Probability Load Balancing patent presents a significant market opportunity for mobile network operators (MNOs) facing increasing demands for bandwidth and improved user experience. The core competitive advantage lies in the dynamic and adaptive nature of the load balancing mechanism, which allows the network to respond in real-time to changing traffic patterns. Revenue potential is derived from increased network capacity, reduced churn due to improved user satisfaction, and the ability to offer premium services with guaranteed performance. Business models can include licensing the technology to other MNOs or integrating it into existing network management platforms. Strategic positioning involves differentiating the network based on superior performance and reliability. ROI projections are based on reduced capital expenditure for network upgrades, lower operational costs due to optimized resource utilization, and increased revenue from premium services. The market opportunity size is substantial, given the global demand for mobile data and the increasing complexity of cellular networks.","faqs":null,"topics":["cell load balancing","cell reselection","cellular networks","eNodeB","user equipment","article","provides","detailed"],"tech_cluster":null},"seo":{"title":"Cell Load Balancing - Device, System and Method of Cell Specific Probability Load Balancing Patent","description":"Explore the Device, System and Method of Cell Specific Probability Load Balancing patent for dynamic cell reselection in cellular networks. Improve network performance and user experience.","keywords":["cell load balancing","cell reselection","cellular networks","eNodeB","user equipment","network congestion","patent","patent US-9854591"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854591","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-9854591","citation_suggestion":"Patentable. \"Device, system and method of cell specific probability load balancing\" (US-9854591). https://patentable.app/patents/US-9854591","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854591","json":"https://patentable.app/api/llm-context/US-9854591","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T03:33:16.093Z"}