UAV Communication Interference Mitigation

Optimizing cellular communication for drones using height-based threshold configuration. It involves configuring drone operation, resource allocation, and interference coordination based on height thresholds. The thresholds are determined, configured, and updated for a drone based on its flight height. This allows optimizing drone communication scenarios like resource utilization and interference reduction. Drone height information is sent to the base station to enable height-based optimization.

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Reducing detectability of wireless communications by using retransmission techniques to chain signals through attritable unmanned vehicles. This involves deploying retrans vehicles like drones with powerful transmitters to relay signals between low-power emitters and recipients. This hides the originating device's location and reduces its signature compared to direct transmission. The retrans vehicles can be cached, launched on demand, or preprogrammed routes. They can also spoof enemy radars to further obscure their position. The emitters can calibrate signals for specific retrans vehicles based on known locations and capabilities.

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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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Enabling communication between a drone and a controller over long distances beyond the controller's direct communication range using a wireless network and laser communications. The system receives instructions from the controller over the network, converts them to laser signals, and transmits them to the drone using a laser link. This allows the drone to fly outside the controller's direct Wi-Fi range while still receiving commands from the network.

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Dynamic spectrum management for airborne assets in air-to-ground communications networks enables continuous and reliable communication between aircraft and ground stations by dynamically allocating spectrum channels based on flight plans. The system monitors flight-specific requirements and network conditions to reserve optimal spectrum slots, while automatically detecting and mitigating interference. It integrates with ground stations to provide real-time spectrum monitoring and support.

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Dynamic spectrum management system for airborne assets to maintain continuous communications with ground stations through coordinated RF channel allocation. The system employs a beam/null steering antenna that dynamically steers beams and nulls to prevent interference between airborne assets while maintaining reliable communications. The antenna integrates with a spectrum management system that manages RF resources across the network, ensuring continuous communication links between airborne radios and ground stations.

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A technique for supporting aerial communication over cellular networks that improves performance compared to existing cellular systems for drones. The technique involves different cell deployment for aerial and terrestrial users in the same area. The base station reports a candidate list of aerial cells to the aerial user, based on the user's measurable cell list. The user then measures performance on those cells and reports back. The base station generates an aerial cell list for vertical beamforming based on the measurements. This reduces inter-cell interference for aerial users without increasing resource overhead for terrestrial users.

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Managing interference between wireless links that use a coverage enhancing device (CED) to extend range. The technique involves coordinating interference mitigation between base stations using control messages. One base station communicates control messages to another base station coordinating interference management for links using the CED. The messages specify timing and settings for the CED's operational parameters during measurement occasions. The base stations configure the CED based on the messages to mitigate interference between their respective links using the CED.

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Enhancing mobile telecommunications systems for unmanned aerial vehicles (UAVs) by allowing efficient handover between airborne and terrestrial modes. The UAV device transmits an indication when switching from airborne to terrestrial mode. The base station detects the change based on the indication and adjusts parameters like timers and measurements accordingly. This prevents issues like interference and coordinated multipoint deactivation when the UAV lands.

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A wireless communication device that can suppress interference in overlapping frequency bands to improve reception sensitivity when communicating simultaneously on different standards. The device has a single control unit that generates interference suppression signals with inverse characteristics for each communication signal. When one signal is received, its inverse is injected into the other receiver to cancel out the interference. This allows suppressing interference in each signal without reducing sensitivity. By generating and injecting the inverse signals based on the actual signal characteristics, it effectively cancels the interference components without affecting the desired signal. The interference suppression is controlled based on the communication status and quality to reduce generation frequency.

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A method for mitigating interference in a channel having multiple users, comprising determining a starting angle based on a direction of a signal of interest, iteratively steering a beam away from the starting angle in opposite directions and calculating a grade of the beam, choosing the beam at a current angle as a receive beam based on the beam grade, receiving a signal using the receive beam, and decoding the signal of interest from one or more interfering signals using successive interference cancellation multi-user detection.

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Interference mitigation technique for cognitive radios that allows multiple devices to simultaneously transmit on the same frequency without interference. The technique involves enhancing the interfering signals using beamforming, estimating them, and subtracting the estimated signals from the received signals to leave only the desired signal. This allows the receiver to "see through" interference and extract the desired signal. By intelligently enhancing the interfering signals and subtracting them, the desired signal can be isolated and received.

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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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Beam null steering antenna enables dynamic spectrum management in aviation communications networks by dynamically allocating spectrum channels between airborne assets. The antenna combines beam and null steering capabilities with a spectrum management system to provide continuous, interference-free communications between airborne radios and ground stations. The system coordinates RF channel allocation across multiple base stations, ensuring uninterrupted communication between aircraft and ground stations while minimizing interference from adjacent signals.

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A method for managing interference between wireless networks and aerial user terminals (e.g., drones) in a wireless communication system. The method enables real-time monitoring of aerial user terminals' mobility status, location, and configuration to dynamically manage interference patterns. The method involves the first device transmitting information to the second device, which then processes this information to determine the best course of action for managing interference. This information includes specific details about the aerial user terminal's mobility status, location, radio resource allocation, configuration, and scheduling. The method enables the second device to selectively forward or suppress interference signals based on the aerial user terminal's specific characteristics, ensuring optimal network performance.

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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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A wireless front end that enables a single device to transmit and receive over an arbitrary number of frequency bands with performance exceeding prior art components. The front end eliminates the need for frequency-specific filters by leveraging known characteristics of interfering signals to suppress them, regardless of frequency. This approach enables flexible and efficient use of the RF spectrum, particularly in applications like cellular telephony where multiple frequency bands are required.

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System and method for dynamically allocating RF spectrum channels to airborne assets in an air-to-ground communications network. The system receives flight plans from users, determines RF availability based on the plans, selects suitable spectrum channels, and reserves them for the flight. The system also generates dynamic link budgets and applies mitigations to maintain reliable communications links between ground stations and airborne assets.

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Mitigating interference in wireless networks for aerial devices like drones and UAVs. The method identifies and prioritizes interference sources among aerial devices based on their traffic profiles, then provides targeted instructions to reduce interference impacts on base stations. The system analyzes device-specific performance characteristics and flight routes to determine optimal interference mitigation strategies, enabling efficient network management of aerial devices.

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Mitigating interference from aerial vehicle (AV) user equipment devices in cellular networks by scheduling AV uplink transmissions on dedicated resources, particularly when AVs fly above base station antenna height, to prevent line-of-sight propagation and reduce interference to ground-based user equipment devices.

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