Nokia Technologies Oy

Design and configuration of adaptable frame structures, resource block groupings, and subcarrier spacings to optimize data transmission across diverse wireless environments and services, including considerations for fronthaul interfaces.

Techniques and hardware architectures for optimizing the radio frequency (RF) front-end, antenna systems, and beamforming strategies in wireless networks to improve signal quality, capacity, and interference mitigation.

Methods for designing, transmitting, and utilizing specific reference signals (e.g., DMRS, SRS, PT-RS) to enable accurate channel estimation, interference measurement, synchronization, or sensing in wireless communication systems.

Techniques enabling simultaneous transmission and reception of signals on the same or adjacent frequency bands, including methods for managing and mitigating self-interference and configuring network resources for such operation.

Systems and methods for automatically deploying, configuring, and updating network devices and services, including software updates, client onboarding, and topology management across various network types.

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Methods and systems for accurately determining the absolute or relative position of an object or device, often integrating satellite navigation (GNSS), inertial measurement units (IMU), and local ranging or wireless communication technologies.

Techniques for efficiently representing, compressing, and decompressing spatial audio information, such as inter-channel phase/time differences, directional components, or higher-order ambisonics, for storage or transmission.

Techniques and systems designed to monitor network health, diagnose issues, optimize traffic flow, and ensure continuous operation and reduced downtime in complex network environments, including cloud and storage area networks.

Methods for acquiring and utilizing accurate channel state information (CSI), including channel estimation and reciprocity transforms, to enable advanced spatial processing techniques like beamforming for improved signal quality and spectral efficiency.

Adjusting audio presentation parameters in real-time or based on user-specific profiles, environmental conditions, or content characteristics to optimize the listening experience.

Techniques for enhancing, encoding, decoding, or separating speech and audio signals, often involving multi-microphone arrays, acoustic echo cancellation, beamforming, or advanced audio compression for improved clarity and quality.

Systems and methods for integrating and managing spatial audio within extended reality (XR), virtual reality (VR), or augmented reality (AR) environments, often involving dynamic audio source positioning, streaming, and synchronization with visual elements.

Techniques and systems for optimizing network traffic flow, distributing loads across multiple paths or resources, and ensuring quality of service based on various criteria like application type, latency, or resource availability. This includes dynamic path selection, congestion control, and resource allocation.

Methods and systems for protecting network resources and data from unauthorized access, misuse, or attack, encompassing authentication, authorization, encryption, and traffic filtering mechanisms. This includes securing communication channels and validating network access.

Technologies for transmitting critical alerts and information during emergencies, often involving wireless networks, specialized devices, and protocols to ensure timely and targeted communication to users or emergency services.

Mobile applications and systems leveraging wireless communication and location data (e.g., GPS, RFID, geo-fencing) to provide context-specific services, transactions, or user interactions.

Techniques for encoding digital data onto analog carrier signals using complex constellation diagrams, multi-level signaling, or layered approaches, often combined with error correction codes, to achieve higher data rates, improved spectral efficiency, or extended range.

Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.

Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.

Methods and devices for actively managing the acoustic environment by identifying, mitigating, or masking unwanted sounds (noise) and shaping desired soundscapes.

Signal processing techniques for multi-microphone systems to enhance desired audio signals and suppress noise or interference by spatially filtering sound sources, improving signal-to-noise ratio and channel separation.

Techniques for rendering, interacting with, and managing content within augmented or virtual reality environments, including spatial tracking, gaze interaction, and dynamic multi-application display management.

Utilizing specialized hardware components such as network processing units (NPUs) or dedicated acceleration circuits to offload and speed up network packet processing, traffic generation, or time-sensitive network operations.

Application of neural networks and AI/ML models within hearing devices or audio systems to enhance, filter, or process audio signals for improved user experience, such as speech understanding or noise reduction.

Systems and methods for collecting, processing, and ensuring the quality and consistency of data used for network monitoring, asset management, and operational decision-making, including conflict detection and reliability scoring.

Techniques and systems for reducing energy consumption in computer networks while maintaining or improving performance, often involving predictive modeling, simulation, and dynamic adjustments to network infrastructure.

Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.

Integration of communication and sensing functionalities within a single wireless system, often by designing waveforms or utilizing reference signals that serve both data transmission and environmental sensing (e.g., ranging, velocity detection) purposes.

Integration of advanced functionalities into headphones, earphones, or hearing aids, such as multi-device connectivity, health monitoring sensors, custom fitting mechanisms, and intelligent audio switching or control.

Technologies for establishing and maintaining secure communication channels between devices or networks, often employing encryption, secure protocols, or virtual private networks (VPNs).

Systems enabling wireless communication between vehicles (V2V), vehicles and infrastructure (V2I), or vehicles and other entities (V2X) to share information for traffic management, safety, and navigation.

Managing and optimizing network resources and services deployed at the edge of the network or within cloud environments, including distributed domain name resolution, resource exposure analysis, and traffic management specific to distributed architectures.

Systems and methods for monitoring, controlling, and optimizing the movement of unmanned aerial vehicles (UAVs) and other aircraft, including real-time connectivity, flight planning, and route modification.

Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.

Systems and methods for identifying and blocking unauthorized access, malicious activities, or abnormal behavior within a network by analyzing traffic, system logs, or behavioral patterns.

User interface designs and systems that enable multiple users to interact with shared content, provide feedback, or coordinate activities, often across different devices or locations.

Techniques and circuits designed to detect, estimate, and mitigate various physical layer signal impairments such as frequency spurs, phase noise, or non-linear distortions, thereby improving overall signal quality and system performance.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Technologies that create dynamic and interactive visual content for displays, including virtual/wearable systems, by generating overlays, replacing input streams, or merging real-time user actions with digital environments.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Enhancements to the physical and data link layers of network communication, focusing on hardware components, signal integrity, power efficiency, and efficient data transfer mechanisms for specific interfaces and buses.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Techniques for protecting data at rest or in backup, ensuring its integrity, confidentiality, and verifiable origin, often involving encryption, unique identifiers, or secure repositories.

Design and manufacturing techniques for microelectromechanical systems (MEMS) microphones, focusing on physical components like diaphragms, movable masses, and housing for improved performance, heat management, or fluid interaction.

Systems that combine data from multiple camera sensors or capture multiple images from different perspectives or qualities, often involving image processing techniques like synthesis to create enhanced or comprehensive views.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Engineering solutions for optimizing the acoustic performance and mechanical stability of loudspeakers, including diaphragm materials, spider geometries, vibration suppression, and integration into other devices.

Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.

Innovations in the physical components and architectures of radar, lidar, and sonar systems, including antenna design, RF signal generation, beam steering mechanisms, and optical elements for improved performance.

Methods and systems for displaying complex data in three-dimensional graphical formats, allowing users to manipulate, explore, and derive insights from the data through interactive controls.

Technologies for generating artificial speech that is personalized, context-aware, or adaptable to specific virtual agents or messaging campaigns, often utilizing text-to-speech (TTS) and audio caching for efficient delivery.

Applications of speech processing and artificial intelligence for medical diagnosis, therapeutic interventions, or accessibility solutions, particularly for conditions affecting speech production or hearing.

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

Methods and systems for identifying synthetic or manipulated speech (deepfake audio) using forensic analysis of audio features, such as breath patterns, vocoder signatures, or machine learning models to determine authenticity.

AI systems designed to engage in natural language dialogue, maintain conversation state, understand user intent, and generate relevant responses, often across multiple communication channels or modalities.

Medical devices and methods for treating hearing loss or tinnitus, primarily through electrical stimulation via implanted electrodes in the cochlear region, including fitting and neural response modeling.

Tools and processes for assessing, monitoring, and improving the security configuration and external accessibility of resources deployed within cloud computing environments.