Techniques to Reduce Latency in Multi Hop Drones

Aerial network architecture using hybrid communication links like FSO and RF that allows simultaneous transmission and failover protection. The network nodes like drones have overlay networks with FSO transmitters/receivers and RF transmitters/receivers. A processor modulates data for both links and balances traffic preemptively based on mission planning and link conditions. This reduces congestion and packet loss during link failures. The processor also uses packet erasure coding to recover from spurious FSO link loss without needing error prediction. The hybrid links and techniques provide resilient and efficient networking for aerial platforms.

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Joint optimization of UAV communication system components to maximize energy efficiency through intelligent reflecting surfaces. The method integrates active beamforming of the base station, passive beamforming of the intelligent reflecting surface, and trajectory optimization of the UAV to achieve maximum energy efficiency. The optimization process iteratively solves for optimal flight trajectories, beamforming parameters, and surface parameters, converging through the Dinkelbach algorithm. This approach enables the creation of high-performance wireless networks that balance signal transmission power with UAV mobility and surface deployment flexibility.

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Airborne short message communication method, apparatus, device, and system that dynamically adjusts message type and transmission frequency based on control commands to optimize communication efficiency and ensure timely transmission of critical information. The method selects a target message type from candidate types and determines transmission frequency based on the control command, then generates and transmits the message accordingly. This enables flexible communication management and emergency response capabilities.

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A method for controlling wireless communication between devices, particularly in high-mobility scenarios, involves allocating radiation boundary volumes to devices based on their positions. The method enables efficient resource allocation by dividing space into controlled radiation areas, which can be dynamically adjusted based on device movement. This approach optimizes communication performance in environments with multiple devices, such as vehicles and aerial systems, by intelligently managing radiation patterns and resource allocation.

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Uplink/downlink resource allocation, beam adjustment, and power control for unmanned aerial vehicle (UAV) communication, enabling efficient resource management in high-flying, high-speed environments. The system establishes a mapping relationship between three-dimensional spatial regions and resources, allowing base stations to dynamically allocate resources based on UAV location and channel conditions. The mapping relationship is initially established through prior knowledge of resource allocation patterns, enabling real-time resource determination for UAVs. The system also implements optimized uplink power control parameters, enabling faster and more effective power adjustment in UAV communication systems.

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A system for optimizing data transmission in connected vehicles by programmatically customizing redundant data stream optimality criteria and automating clusterization of data streams according to similarity of projected optimal criteria. The system uses an orchestrator to control assignments of redundant data streams to wireless communication channels, optimizing based on an optimization model that enforces constraints such as channel diversity and latency. The model can be derived from simulation and trained using reinforcement learning, and can be updated in real-time to adapt to changing network conditions.

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A system and method for optimizing mission planning of a multi-UAV network for data collection and communication relay. The system includes a mission information definer, a data collection UAV mission planning optimizer, and a communication relay UAV mission planning optimizer. The method involves defining data collection mission information and parameters, optimizing mission planning of data collection UAVs, and optimizing mission planning of communication relay UAVs. The optimization process includes determining data collection orders, generating flight paths, and scheduling communication networks. The system enables autonomous mission planning for multi-UAV networks in environments with poor communication infrastructure.

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Joint optimization method for scheduling, trajectory, and power of a UAV relay system, which enables efficient communication in disaster scenarios by dynamically allocating resources among multiple UAVs to maximize throughput and minimize power consumption.

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Enhancing network resource management through coordinated coverage expansion in Unmanned Aerial Vehicles (UAVs) networks. The method involves a UAV node detecting when its resource utilization exceeds a threshold, then transmitting a resource assistance request to neighboring UAVs. The neighboring UAVs respond with confirmation of their willingness to provide assistance, and the UAV node adjusts its coverage area based on the assistance confirmation. This enables efficient resource sharing between UAVs while maintaining optimal network performance.

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A UAV-based computing system that enables direct communication between sensors and base stations through full-duplex relays. The system optimizes sensor placement, transmission power, and UAV flight paths to achieve reliable and efficient wireless communication. The optimization process iteratively solves sub-problems to find the optimal configuration that balances sensor coverage, transmission power, and UAV flight performance.

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Efficient resource allocation and uplink power control for unmanned aerial vehicle (UAV) communication systems. The system enables real-time mapping of UAV spatial locations to resources through pre-established channel quality relationships, allowing base stations to dynamically allocate resources based on the UAV's current spatial context. This mapping enables efficient resource allocation and real-time optimization of uplink power levels, particularly in high-flying UAVs with variable channel conditions.

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A wireless network architecture that separates control and data planes to optimize network performance in dynamic environments. The control plane uses a frequency-hopped control channel to manage network resources and disseminate network state information, while the data plane operates independently to forward packets based on up-to-date routing decisions. This separation enables high link-level robustness and unified routing with minimal communication overhead, particularly in environments with severe spectral and environmental degradations.

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Controlling swarms of unmanned aerial vehicles (UAVs) for applications like wireless communications where the UAVs act as relays. The UAVs coordinate their positions and behaviors to enhance network coverage and performance. The UAVs sense each other's locations and use that information along with network metrics to adapt their flight paths. This enables optimized UAV configurations for cooperative MIMO wireless communications. The UAVs also use swarm intelligence techniques like particle swarm optimization to autonomously coordinate their movements.

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Airborne short message communication method, apparatus, device, and system that dynamically adjusts message type and transmission frequency based on control commands to optimize communication efficiency and ensure timely transmission of critical messages. The method selects a target message type from candidate types and determines a transmission frequency based on the control command, then generates and transmits the message accordingly. This enables flexible communication management and emergency response capabilities.

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A method and device for orchestrating the execution of multiple mechanisms in a wireless network to achieve ultra-reliable and low-latency communication (URLLC) while maintaining efficiency. The method determines an initial mechanism orchestration strategy based on quality of service (QoS) targets, executes it, and then dynamically adjusts the strategy based on real-time latency data and network state classification. The device implements this method to optimize mechanism execution and resource allocation in real-time, enabling URLLC applications such as industrial automation, smart grids, and remote healthcare.

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Method for controlling a multi-hop transmission in a wireless communication network, comprising estimating an overall transmission delay of a data signal by a multi-hop transmission in a wireless communication network, said transmission being implemented by a system comprising a source equipment and a plurality relay equipment configured to receive, amplify and retransmit a radio signal emitted by the source equipment, and verifying that this overall transmission delay is less than or equal to a maximum authorized delay.

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Optimizing LTE communication for unmanned aerial vehicles (UAVs) by allocating time-frequency resources based on UAV height. The optimization involves determining height thresholds for UAVs, configuring operation modes based on height, and performing resource allocation based on height. This allows customized resource optimization for UAVs with varying flight heights.

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Configuring UAV operation based on height thresholds to optimize communication performance. The configuration enables dynamic height-based resource allocation and interference management for UAVs operating in cellular networks, particularly when their flight heights exceed typical coverage boundaries. The configuration system generates height-related information and communicates it to base stations to dynamically configure UAV operation modes and resource allocations, ensuring optimal performance in both coverage and interference scenarios.

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Enhancing UAV communication through dynamic height threshold management in LTE networks. The system dynamically adjusts height thresholds for UAVs based on their flight characteristics, cell coverage, and base station configuration. This enables optimized resource allocation and interference management in UAV communication scenarios, particularly when the UAV's height exceeds typical ground-level boundaries. The system continuously monitors UAV flight conditions and adjusts height thresholds in real-time to maintain optimal communication performance.

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Self-organizing, autonomous network of unmanned aerial vehicles (UAVs) that can provide high-bandwidth wireless backhaul connectivity over long distances beyond line-of-sight. The network uses a high bandwidth mmWave wireless mesh backhaul between the UAVs to enable applications like LTE coverage in disaster areas, wide-area search and rescue, and autonomous surveillance in inaccessible areas. The UAVs jointly optimize position, yaw, and traffic routing to efficiently configure the network. A migration process determines the optimal configuration in the least time to reconfigure the network dynamically in response to events.

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A method for wireless communication performed by an unmanned aerial vehicle (UAV) that enables the UAV to provide categories associated with its characteristics and flight plans to a mobile network during registration and flight. The UAV transmits a communication associated with its registration and provides one or more initial categories associated with its characteristics and flight plans. The mobile network receives the categories and prioritizes resources based on them, enabling effective service to UAVs with critical requirements such as low-latency communications and life-saving missions.

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Wireless communication system for unmanned aerial vehicles (UAVs) that optimizes resource allocation, beam adjustment, and power control through a pre-established mapping relationship between three-dimensional spatial regions and resources. The system establishes a mapping relationship between spatial regions and resources at the base station, enabling efficient resource allocation and measurement. The mapping relationship is determined based on channel quality measurements, allowing UAVs to automatically determine optimal resources for transmission. The system also provides optimized beam adjustment and power control for UAV communication, particularly in high-flying UAVs with variable channel conditions.

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Millimeter wave full-duplex drone relay communication method to expand the coverage and capacity of millimeter wave communications using drones as relays. The method optimizes drone position, beamforming and power control to reduce self-interference and improve relay performance. The optimization involves finding the ideal drone location, alternately optimizing the transmit and receive beamforming vectors, and adjusting power levels for given beamforming.

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Cooperative-MIMO processing using swarms of unmanned aerial vehicles (UAVs) to enhance wireless network performance. The UAVs coordinate their flight paths and antenna positions to optimize MIMO channel conditions. The UAVs sense each other's locations and use that info to autonomously navigate to positions that provide better MIMO rank. This improves coverage and throughput compared to fixed base stations. The UAVs also cooperatively process signals to combat interference.

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A wireless network architecture that separates control and data planes to improve reliability and scalability in mobile ad-hoc networks. The control plane uses a frequency-hopped control channel to coordinate data communications, while the data plane operates independently on a separate frequency band. This separation enables high link-level robustness and unified routing with minimal communication overhead, particularly in environments with severe spectral and environmental degradations.

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Method for operating an unmanned aerial vehicle (UAV) that optimizes its trajectory to maintain a minimum quality communication link with a ground station. The method involves defining an initial trajectory, simulating communication link quality along the trajectory, comparing it to a minimum quality threshold, and iteratively adjusting the trajectory until the quality meets the threshold. The simulation accounts for UAV flight dynamics and antenna orientation to ensure accurate link quality assessment.

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Dynamic antenna reconfiguration for UAVs to improve network performance in non-line-of-sight environments. The system enables adaptive antenna configuration that can dynamically redirect the main beam to base stations while minimizing pattern gain towards interfering directions. This approach enables improved signal-to-interference ratio (SNR) while maintaining effective coverage, particularly in scenarios where traditional directional antennas are ineffective due to interference from multiple base stations. The system can be integrated with existing cellular networks to support UAV operations while maintaining reliable communication connections.

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Low-latency communication for autonomous vehicles through optimized resource allocation and channel management. The method enables ultra-low latency data transmission by dynamically allocating resources between macro nodes, access points, and terminals. It achieves this through a combination of path diversity, global scheduling, and efficient resource management, particularly in high-speed movement scenarios where traditional LTE D2D approaches struggle. The approach ensures reliable data transmission while maintaining low latency through coordinated access point and terminal operations.

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A method and device for scheduling transmission of data packets in a deterministic network with guaranteed end-to-end latency. The method involves determining latency budgets for each intermediate node such that their sum equals the maximum allowed end-to-end latency, and scheduling transmission times based on these budgets. Each node selects a free period within its transmission window as the transmission time, ensuring that the packet arrives at the next node within the latency budget. The method enables efficient and scalable scheduling of multiple flows with guaranteed latency requirements in industrial networks.

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A method for predicting quality of service (QoS) for vehicle-to-vehicle (V2V) communications in dynamic environments. The method creates link-based QoS maps that capture the unique characteristics of each communication link, including latency, throughput, and packet error rate. These maps are generated through a distributed process that leverages real-time communication data, vehicle pose and dynamics, and environmental factors such as path loss and shadowing. The link-based QoS maps enable accurate prediction of end-to-end latency, which is critical for safety-critical applications like high-density platooning.

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Flying device, control device, communication control method, and control method that reduce transmission delays between a flying device and a control device by dynamically prioritizing data transmission based on communication quality, device attributes, and application requirements. The flying device determines communication quality and controls data transmission, while the control device prioritizes resource allocation based on terminal type and data type.

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Enhancing communication reliability for unmanned aerial vehicles (UAVs) using a communication enhancement module that can be added to UAVs and a UAV control system. The module improves robustness and reliability of UAV communications in degraded bandwidth environments. It exploits the common communication protocol used by STANAG 4586 compliant UAVs and control systems. The module interacts with the UAVs and control system using the STANAG 4586 protocol. It receives messages with a destination like a control system, identifies multi-hop paths via other modules, determines if point-to-point links or hops are better, and adapts messages for multi-hop routing.

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Method and apparatus for controlling transmit power in an unmanned aerial vehicle (UAV) control system to increase communication link availability and minimize interference with other links. The system determines the required transmit power based on the signal-to-noise ratio (SNR) margin and the maximum allowed transmit power, and adjusts the transmit power accordingly. The system also considers propagation delay and fading channel characteristics to ensure accurate power control.

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