{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853665","patent":{"patent_number":"US-9853665","title":"Method for selection between VAMOS receiver and non-VAMOS receiver in user equipment","assignee":null,"inventors":[],"filing_date":"2016-07-27T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04B","H04B","H04L","H04L"],"num_claims":17,"abstract":"An apparatus and a method are provided for selecting a receiver in a user equipment (UE). The method includes receiving, at the UE, a signal; determining, at the UE, a switch metric based on correlation metrics of a training sequence of the signal; comparing, at the UE, the switch metric with a threshold; and selecting, at the UE, one of a voice services over adaptive multi-user channels on one slot (VAMOS) receiver and a non-VAMOS receiver based on the comparing result."},"analysis":{"summary":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** patent (US-9853665) introduces a pivotal technology for enhancing mobile communication by enabling user equipment (UE) to intelligently select the optimal receiver type for incoming signals. The core innovation lies in its adaptive mechanism, designed to improve voice call quality, network efficiency, and overall user experience in dynamic wireless environments.\n\nAt its heart, this patent describes a method where a UE receives a signal and then determines a 'switch metric'. This metric is calculated based on the correlation metrics derived from the signal's training sequence, which serves as a reliable indicator of signal quality and channel conditions. The calculated switch metric is then compared against a predefined threshold. Based on this comparison, the UE makes a real-time decision to engage either a Voice Services over Adaptive Multi-user Channels on One Slot (VAMOS) receiver, which prioritizes spectral efficiency, or a non-VAMOS receiver, which typically offers more robust performance in challenging conditions.\n\nThe problem this technology solves is the suboptimal performance and inefficient resource utilization that can occur when UEs are unable to dynamically adapt their receiver configurations to varying network loads and signal strengths. By enabling intelligent, autonomous selection, this invention ensures that the UE always uses the most appropriate receiver, mitigating issues like dropped calls, poor voice quality, and unnecessary power consumption.\n\nFrom a business perspective, the Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment offers significant value. It provides a competitive advantage for device manufacturers by enabling superior call quality and reliability. For mobile network operators, it translates to more efficient spectrum utilization, higher network capacity, and reduced operational costs. The market opportunity is substantial, spanning across all segments of the mobile telecommunications industry, as the demand for flawless communication continues to grow. This innovation is critical for the evolution of 5G and future wireless standards, supporting higher density and more diverse service requirements.","layman_explanation":"### What Problem Does This Solve?\nImagine you're trying to have an important conversation on your phone. Sometimes, you're in a busy place, and your network provider needs to fit many people into the 'airwaves' (this is where technology like VAMOS, or Voice Services over Adaptive Multi-user Channels, comes in handy). Other times, you might be in an area with a weaker signal, and what you really need is a clear, stable connection, even if it means using a bit more dedicated 'airwave space' (a non-VAMOS scenario). The problem is, your phone traditionally struggles to automatically and smartly switch between these different ways of 'listening' to the network. This can lead to annoying dropped calls, patchy audio, or your phone working harder than it needs to, draining its battery faster. In essence, the challenge is maintaining high-quality voice calls and efficient network use simultaneously, especially in today's dynamic mobile environments.\n\n### How Does It Work?\nThe **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** patent introduces a clever solution. Think of your phone as having two different 'ears' – one that's great for shared, efficient listening (the VAMOS receiver) and another that's excellent for focused, clear listening in tough conditions (the non-VAMOS receiver). This invention gives your phone a 'brain' to decide which ear to use at any given moment. When your phone receives a signal, it doesn't just listen; it quickly performs a 'quality check' on a specific part of that signal, called a 'training sequence'. This check generates a 'switch metric,' which is essentially a score indicating how good the signal quality is and how well it would perform with each type of 'ear.'\n\nYour phone then compares this score to a pre-set 'threshold' (a minimum standard). If the score is high enough, it knows it can use the VAMOS receiver for maximum efficiency. If the score is lower, it smartly switches to the non-VAMOS receiver to ensure your call remains robust and clear. It's like a smart thermostat for your calls – always adjusting to the optimal setting based on real-time conditions, without you having to do anything.\n\n### Why Does This Matter?\nThis innovation matters significantly for several reasons. For consumers, it means a noticeably better mobile experience: fewer dropped calls, clearer conversations, and potentially longer battery life because your phone isn't inefficiently processing signals. For mobile network operators, this translates to more efficient use of their valuable network resources, allowing them to serve more customers with existing infrastructure and provide higher quality of service. This can lead to reduced operational costs and improved customer satisfaction, which are crucial for retaining subscribers in a competitive market. For device manufacturers, incorporating this technology provides a powerful differentiator, allowing them to market 'smarter' and more reliable smartphones. Ultimately, this approach enhances the foundational reliability of mobile communication, which is vital for everything from casual conversations to critical business and emergency services.\n\n### What's Next?\nThe principles behind this patent are foundational and will likely extend beyond current VAMOS applications. As we move towards 5G and 6G, with even more complex network architectures and diverse service requirements (e.g., IoT, ultra-low latency applications), the need for devices to intelligently adapt their reception capabilities will only grow. This innovation paves the way for future mobile devices that are even more autonomous, efficient, and capable of delivering seamless performance in increasingly complex wireless environments. For businesses, this means continued investment in adaptive communication technologies will be key to staying competitive and unlocking new market opportunities in the evolving digital landscape.","technical_analysis":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** (US-9853665) presents a robust and adaptive solution for optimizing signal reception in User Equipment (UE), specifically targeting the interplay between Voice Services over Adaptive Multi-user Channels on One Slot (VAMOS) and non-VAMOS operations. This technical deep dive explores the architecture, algorithmic specifics, and performance implications of this invention.\n\n**Technical Architecture and Signal Flow:**\nAt a high level, the system integrates within the UE's baseband processing unit, leveraging existing radio frequency (RF) front-end and digital signal processing (DSP) capabilities. The process begins when the UE's RF receiver captures an incoming wireless signal. This raw signal is then down-converted and digitized, making it amenable to baseband processing. A crucial component is the module responsible for identifying and extracting the training sequence embedded within the received signal frame. This training sequence, a known pseudo-random or fixed pattern, is fundamental for channel estimation and synchronization in wireless communication standards like GSM/EDGE.\n\n**Algorithm for Switch Metric Determination:**\nThe core of this patent lies in its intelligent algorithm for generating a 'switch metric'. After isolating the training sequence, the UE's DSP unit performs correlation operations. Specifically, it correlates the received training sequence with multiple locally stored, ideal versions of the training sequence. These correlation operations yield 'correlation metrics' – values that quantify the similarity between the received and ideal sequences. High correlation values indicate a strong, clear signal with minimal interference, while lower values suggest degraded channel conditions.\n\nThe innovation specifies that the 'switch metric' is derived from these raw correlation metrics. This derivation can involve various signal processing techniques:\n1.  **Weighted Averaging:** Different correlation metrics (e.g., correlations with VAMOS-specific vs. non-VAMOS-specific training sequences, or correlations over different parts of the training sequence) might be weighted and averaged.\n2.  **Statistical Analysis:** The switch metric could be based on the variance, peak-to-average power ratio, or other statistical properties of the correlation results.\n3.  **Machine Learning (Implied):** While not explicitly stated as ML, the concept of deriving an optimal 'switch metric' from raw signal data allows for advanced adaptive algorithms, potentially leveraging historical performance data or channel models to refine the metric's calculation.\n\n**Threshold Comparison and Receiver Selection:**\nOnce the switch metric is computed, it is compared against a pre-defined threshold. This threshold is a critical design parameter, potentially configurable by the network or device manufacturer, and could even be dynamic based on current network load or UE mobility. If the switch metric exceeds the threshold, indicating favorable channel conditions for VAMOS, the UE's control logic directs the baseband processor to engage the VAMOS receiver. This involves configuring the demodulator, equalizer, and channel decoder for VAMOS-specific processing, which often entails more complex multi-user detection algorithms.\n\nConversely, if the switch metric falls below the threshold, indicating that VAMOS might struggle or introduce excessive errors, the UE selects the non-VAMOS receiver. This mode typically involves simpler, more robust single-user detection techniques, prioritizing reliability over spectral efficiency. The switch between receiver types is designed to be seamless, minimizing any disruption to ongoing voice services.\n\n**Performance Characteristics and Integration Patterns:**\nThis adaptive selection mechanism offers significant performance benefits. It ensures that the UE operates in the most optimal mode for current channel conditions, leading to improved voice quality (e.g., higher Mean Opinion Score - MOS), reduced Bit Error Rate (BER), and fewer dropped calls. From a network perspective, it maximizes the utilization of VAMOS capacity when conditions permit, and ensures robust fallback when they don't, contributing to overall network efficiency. The method also implies potential power savings by avoiding unnecessary complex processing in unfavorable VAMOS conditions.\n\nIntegration with existing UE hardware and software stacks would primarily involve modifications to the PHY and possibly MAC layers. The DSP unit would require sufficient computational power for real-time correlation and metric calculation. The control logic for receiver configuration would interface with the existing radio resource management (RRM) functionalities of the UE. This approach minimizes reliance on network-side signaling for mode switching, enabling faster and more autonomous adaptation at the device level. The implications for future technologies, particularly in heterogeneous networks and advanced MIMO systems, where dynamic adaptation is paramount, are substantial.","business_analysis":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** patent (US-9853665) presents a compelling business proposition with significant implications across the mobile telecommunications ecosystem. This innovation addresses fundamental challenges in network capacity, service quality, and user experience, offering substantial market opportunities and strategic advantages.\n\n**Market Opportunity Size and Growth:**\nThe global mobile telecommunications market, including smartphones, IoT devices, and network infrastructure, continues its robust growth. Voice services, despite the rise of data, remain a critical component, especially for enterprise, emergency, and basic communication. The need for efficient spectrum utilization and high-quality voice calls in increasingly congested networks makes technologies like this patent highly relevant. The market for enhanced mobile device performance and network optimization tools is in the tens of billions of dollars annually, driven by ongoing 5G deployments and the demand for superior user experience. This patent taps directly into this demand by offering a tangible improvement in core mobile functionality.\n\n**Competitive Advantages:**\n1.  **Superior User Experience:** Devices incorporating this technology can offer noticeably clearer voice calls, fewer dropped connections, and more consistent performance across diverse environments. This directly translates into higher customer satisfaction and loyalty, providing a significant competitive edge for device manufacturers.\n2.  **Network Efficiency for Operators:** Mobile Network Operators (MNOs) benefit from more intelligent utilization of VAMOS technology, leading to increased spectral efficiency and higher capacity without additional infrastructure investment. This can reduce operational costs and enhance profitability.\n3.  **Reduced Signaling Overhead:** By enabling the UE to make autonomous receiver selection decisions, the patent reduces the need for constant network-side signaling, freeing up valuable control channel resources and improving overall network responsiveness.\n4.  **Power Optimization:** Intelligent adaptation ensures that the UE is not expending unnecessary processing power on suboptimal receiver configurations, potentially leading to extended battery life – a constant demand from consumers.\n\n**Revenue Potential and Business Models:**\nThis patent opens several revenue streams and business models:\n*   **Licensing:** The primary model would involve licensing the patented technology to UE manufacturers (e.g., Samsung, Apple, Qualcomm) and chipset providers. Given the fundamental nature of the innovation, it could command significant licensing fees or royalties per device.\n*   **Enhanced Product Differentiation:** Device manufacturers can integrate this feature as a premium capability, justifying higher price points for 'smarter' or 'more reliable' smartphones.\n*   **Network Equipment Integration:** The underlying principles could be adapted for network infrastructure equipment to better manage VAMOS allocations based on UE capabilities and signal reports.\n\n**Strategic Positioning:**\nCompanies that acquire or license this patent can strategically position themselves as leaders in mobile communication technology and user experience. It allows for differentiation in a crowded market by offering a demonstrable performance advantage. For chipset manufacturers, it's a critical IP asset that enhances their offerings to device makers. For MNOs, encouraging the adoption of devices with this technology can directly improve their network's perceived quality and efficiency, reducing churn and attracting new subscribers.\n\n**ROI Projections:**\nThe ROI for investing in or licensing this technology is potentially very high. For a device manufacturer, even a marginal increase in market share due to superior call quality can translate into billions in revenue. For an MNO, improved network efficiency and reduced customer complaints lead to significant operational savings and customer retention benefits. The foundational nature of this patent means its impact could be long-lasting, influencing future wireless standards beyond current VAMOS implementations, such as dynamic resource allocation in 5G and 6G environments. The investment in securing and leveraging this intellectual property is likely to yield substantial returns over the long term, positioning the innovator as a key player in the evolution of mobile connectivity.","faqs":[{"answer":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** is a patented technology (US-9853665) that describes an intelligent system for mobile devices, or User Equipment (UE), to dynamically choose the most optimal receiver type for incoming wireless signals. This innovation focuses on improving the quality and efficiency of voice services by allowing the UE to adapt its reception strategy in real-time.\n\nSpecifically, the patent outlines a process where a UE assesses the quality of an incoming signal and then decides whether to use a VAMOS (Voice Services over Adaptive Multi-user Channels on One Slot) receiver or a non-VAMOS receiver. VAMOS is a technology that increases network capacity by allowing multiple users to share a single radio resource. However, its performance is sensitive to signal conditions. The invention ensures that the UE selects the most appropriate receiver based on current environmental factors, leading to a better user experience and more efficient network usage.\n\nThis adaptive selection mechanism is crucial for modern mobile communication, as it addresses the complexities of varying signal strengths, interference levels, and network loads that phones encounter daily. It moves beyond static or network-controlled switching, empowering the device itself with the intelligence to optimize its listening capabilities for superior performance.","question":"What is Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment?"},{"answer":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** operates through a sophisticated, multi-step process embedded within the User Equipment (UE). First, the UE receives a wireless signal, which contains a specific, known pattern called a 'training sequence.' This training sequence is vital for channel estimation and synchronization.\n\nNext, the UE determines a 'switch metric.' This metric is calculated by analyzing the 'correlation metrics' derived from the received training sequence. Essentially, the UE compares the received training sequence with ideal patterns to assess the signal's quality, clarity, and suitability for different receiver types. A high correlation indicates a strong, clear signal, while lower correlation suggests poorer conditions.\n\nFinally, the calculated switch metric is compared against a predetermined threshold. Based on this comparison, the UE makes an instantaneous decision: if the metric indicates favorable conditions, it selects the VAMOS receiver to maximize spectral efficiency; if conditions are challenging, it selects the non-VAMOS receiver to prioritize robustness and voice quality. This real-time, autonomous decision-making ensures optimal performance.","question":"How does Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment work?"},{"answer":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** patent primarily solves the problem of suboptimal performance and inefficient resource utilization in mobile voice communication. Traditionally, User Equipment (UE) has struggled to dynamically adapt its receiver configuration to the highly variable conditions of wireless networks.\n\nSpecifically, VAMOS (Voice Services over Adaptive Multi-user Channels on One Slot) technology, while excellent for increasing network capacity, can degrade voice quality when signal conditions are poor. Conversely, a robust non-VAMOS receiver might be underutilized in ideal conditions, wasting valuable network spectrum. Prior art often relied on static configurations or slow, network-initiated switching, which couldn't keep pace with rapid changes in signal strength, interference, or network load.\n\nThis invention resolves this by giving the UE the intelligence to make real-time, granular decisions. It eliminates the trade-off between spectral efficiency and voice quality, ensuring that the most appropriate receiver is always active, thereby reducing dropped calls, improving audio clarity, and optimizing network resource management.","question":"What problem does Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment solve?"},{"answer":"The patent for **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** (US-9853665) does not list the inventors or assignee in the provided abstract. Patent filings often include this information in the full document, which would typically be available through patent databases.\n\nHowever, the nature of such a sophisticated telecommunications patent suggests it would likely stem from research and development efforts within a major telecommunications company, a leading mobile chipset manufacturer, or an academic institution specializing in wireless communication technologies.\n\nThese types of innovations are typically the result of extensive collaboration among engineers, signal processing experts, and wireless communication researchers aiming to enhance the fundamental capabilities of mobile devices and networks. The individuals or team behind this patent would have deep expertise in cellular standards, digital signal processing, and radio frequency engineering.","question":"Who invented Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment?"},{"answer":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** offers several significant benefits for both users and the mobile telecommunications industry.\n\nFirstly, for end-users, it dramatically **improves voice call quality and reliability**. By ensuring the optimal receiver is always engaged, it minimizes distortion, reduces instances of dropped calls, and provides a more consistent, clearer audio experience. This enhances overall user satisfaction.\n\nSecondly, it leads to **more efficient network resource utilization**. The intelligent selection of the VAMOS receiver when conditions permit maximizes spectral efficiency, allowing mobile network operators to serve more users within the same bandwidth. This can increase network capacity without requiring costly infrastructure upgrades. Thirdly, this technology can contribute to **extended battery life** for User Equipment (UE). By preventing the UE from unnecessarily expending power on a suboptimal or struggling receiver, it optimizes energy consumption. Lastly, it provides a **competitive advantage** for device manufacturers, enabling them to offer 'smarter' and more reliable smartphones in a crowded market, and for network operators, it translates to a higher Quality of Service (QoS).","question":"What are the key benefits of Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment?"},{"answer":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** distinguishes itself from prior art through its highly intelligent, autonomous, and granular decision-making at the User Equipment (UE) level. Previous methods for receiver selection, particularly between VAMOS and non-VAMOS modes, often relied on less sophisticated approaches.\n\nPrior art typically involved either static receiver configurations, where the UE used a fixed mode, or network-controlled switching, where the network commanded the UE to change modes. Network-controlled methods suffered from inherent latency due to signaling delays and lacked the precise, real-time channel knowledge available directly at the device. Simpler UE-based switching, if present, might have used basic metrics like Received Signal Strength Indicator (RSSI), which are insufficient for accurately predicting the performance of complex VAMOS algorithms.\n\nThis patent, however, innovates by deriving a 'switch metric' from detailed 'correlation metrics' of the signal's 'training sequence.' This provides a far more accurate and immediate assessment of channel conditions. By empowering the UE to make real-time, nuanced decisions based on this sophisticated metric, it bypasses the limitations of latency and coarse granularity found in prior art, leading to genuinely optimized and adaptive receiver performance.","question":"How is Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment different from prior art?"},{"answer":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** patent will primarily impact the **telecommunications industry**, specifically across several key segments.\n\n**Mobile Network Operators (MNOs)** will benefit significantly by achieving greater spectral efficiency, increasing network capacity for voice services, and reducing operational costs through optimized resource utilization. This directly translates to improved customer satisfaction and reduced churn.\n\n**Mobile Device Manufacturers** (e.g., smartphone makers) and **Chipset Providers** (e.g., Qualcomm, MediaTek) will find this technology crucial for differentiating their products. Devices incorporating this innovation can offer superior call quality, reliability, and potentially longer battery life, providing a competitive edge in a crowded market. Beyond these core players, industries that heavily rely on robust and clear mobile voice communication, such as **emergency services, logistics, field service operations, and enterprise communication**, will indirectly benefit from the enhanced reliability and quality this technology provides across the mobile ecosystem. The underlying principles of adaptive signal processing also have implications for the broader **IoT (Internet of Things)** sector, where efficient and reliable communication is paramount for billions of connected devices.","question":"What industries will Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment impact?"},{"answer":"The patent for **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** (US-9853665) was filed on **July 27, 2016**. It was subsequently published on **December 26, 2017**.\n\nThe filing date marks the official submission of the patent application to the patent office, establishing its priority date. The publication date is when the patent application, or eventually the granted patent, becomes publicly accessible. This timeline indicates that the innovation underwent the standard examination process, demonstrating its novelty, non-obviousness, and utility as determined by the patent office. The relatively quick publication after filing suggests the significance and readiness of the technology for public disclosure and potential commercialization. These dates are crucial for understanding the intellectual property landscape and the timing of the innovation's entry into the public domain for review and potential licensing or integration.","question":"When was Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment filed/granted?"},{"answer":"The **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** patent has numerous significant commercial applications across the mobile telecommunications sector.\n\nPrimary applications include **integration into smartphones and other User Equipment (UE)**. Device manufacturers can license this technology to enhance the core communication capabilities of their products, offering consumers superior voice call quality, fewer dropped calls, and potentially improved battery life. This serves as a key differentiator in a highly competitive market.\n\nAnother major application is for **mobile network operators (MNOs)**. By ensuring UEs intelligently utilize VAMOS technology when appropriate, the patent helps MNOs maximize their spectral efficiency and network capacity for voice services without requiring expensive infrastructure upgrades. This leads to reduced operational costs and improved Quality of Service (QoS) for their subscribers. Furthermore, the underlying principles could be applied in **chipset development** for baseband processors, providing a crucial intellectual property asset for semiconductor companies. Future applications may extend to **IoT devices** requiring efficient and reliable voice or low-latency communication, ensuring optimal performance in diverse environments. The commercial value lies in enhancing fundamental mobile communication reliability and efficiency.","question":"What are the commercial applications of Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment?"},{"answer":"The principles laid out in the **Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment** patent are foundational and are expected to evolve significantly, influencing future developments in mobile communication. While currently focused on VAMOS and non-VAMOS receivers, the core concept of autonomous, intelligent receiver selection based on granular signal quality metrics is highly adaptable.\n\nFuture developments could include **integration with advanced machine learning (ML) algorithms**. Instead of fixed thresholds, ML models could predict the optimal receiver configuration based on real-time channel conditions, historical data, user mobility patterns, and even network load predictions. This would lead to even more nuanced and predictive adaptation.\n\nFurthermore, this innovation can extend to **5G and 6G networks** that feature highly dynamic spectrum sharing, massive MIMO, and complex beamforming. UEs will need to select between various frequency bands, beam configurations, and access technologies. The adaptive selection methodology of this patent provides a blueprint for managing this complexity, ensuring seamless performance across heterogeneous networks. It will also be critical for **Ultra-Reliable Low-Latency Communication (URLLC)** in mission-critical applications, where instantaneous selection of the most robust communication path is paramount. Ultimately, this technology paves the way for truly cognitive and self-optimizing mobile devices that can intelligently adapt to an increasingly complex wireless world.","question":"What are the future developments expected for Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment?"}],"topics":["VAMOS receiver","non-VAMOS receiver","user equipment optimization","mobile communication","signal processing","landscape","wireless","communication"],"tech_cluster":null},"seo":{"title":"VAMOS Receiver Selection - Patent US-9853665","description":"Discover the Method for Selection Between Vamos Receiver and Non-vamos Receiver in User Equipment patent. Enhance mobile voice quality & network efficiency with adaptive receiver tech.","keywords":["VAMOS receiver","non-VAMOS receiver","user equipment optimization","mobile communication","signal processing","network efficiency","adaptive receiver","telecom patent","US-9853665","call quality","wireless technology","training sequence","switch metric","PHY layer"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853665","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-9853665","citation_suggestion":"Patentable. \"Method for selection between VAMOS receiver and non-VAMOS receiver in user equipment\" (US-9853665). https://patentable.app/patents/US-9853665","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853665","json":"https://patentable.app/api/llm-context/US-9853665","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T09:15:43.996Z"}