Techniques to Prevent Drone Signal Interference

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

Wireless communication method and equipment to mitigate interference in wireless networks with unmanned aerial vehicles (UAVs). When a UAV is flying at high altitude, it may receive signals from multiple base stations due to lower path loss. To avoid interference, the UAV can transmit resource configuration information to neighboring base stations of its current cell. This allows them to coordinate resource assignments for served UEs to avoid conflicts. The UAV also receives configuration info from other cells' base stations. This enables coordination across cells to further reduce interference. The UAV determines interference conditions based on its own resources, neighbor cell resources, and other cell resources.

Source

A system for providing broadband access to drones using a network of terrestrial cell sites, with methods to mitigate interference and maximize throughput. The system includes a network of cell sites with directional beamforming capabilities and drones equipped with steerable directional antennas. The drones measure downlink signal quality and receive uplink signal quality measurements from multiple cell sites to select the best association. The system also enables dynamic channel assignment and real-time position reporting to optimize communication links.

Source

A system for managing command and control (C2) datalinks for unmanned aircraft systems (UAS) operating beyond visual line of sight (BVLOS). The system includes a control station with multiple antenna elements that transmit C2 signals to UAS within a designated coverage volume. The control station dynamically manages the C2 spectrum to prevent interference between UAS and ensure reliable communication with each aircraft. When a UAS approaches the control station's geofenced area, the system automatically switches the UAS to a different control station or reallocates spectrum to maintain safe operations.

Source

A communication system architecture for drone communications that adapts to the unique characteristics of high-altitude wireless networks. The system employs a modified channel model that accounts for the different propagation characteristics at various altitudes, including line-of-sight and multi-path environments. This allows the system to dynamically allocate resources and manage interference in a way that optimizes performance for both terrestrial and drone users.

Source

Minimizing interference experienced by drones operating on cellular networks by scanning for multiple downlink signals from different base stations, analyzing signal characteristics, and dynamically adjusting beamforming and gain to reduce interference. The drone monitors downlink signals from nearby and distant base stations, determines characteristics like RSRP, RSSI, RSRQ, and SINR, and optimizes beamsteering and antenna gain to mitigate interference. This allows drones to efficiently navigate above buildings where signals from multiple cells are received, preventing excessive interference.

Source

Minimizing interference between drones and cellular networks through advanced signal analysis and beamforming techniques. The method detects and characterizes interference from multiple base stations using the drone's receiver antennas, then applies signal processing to optimize uplink and downlink path performance. By analyzing the received signals' characteristics, the drone determines optimal beamforming parameters to reduce interference from neighboring base stations, particularly in areas with high signal propagation loss. This enables efficient operation of drones above cellular coverage boundaries, where traditional interference mitigation strategies are less effective.

Source

Communication interference suppression method for unmanned aerial vehicles (UAVs) that enables synchronized communication between UAVs and ground stations. The method involves a drone or ground station switching to a specific working channel, searching for a reference drone or synchronization signal, and adjusting its communication timing to match the reference's timing. This synchronization enables the UAVs to communicate with each other and the ground station without interference. The method can be implemented in both drones and ground stations, with the drone switching to a specific channel and the ground station searching for a reference signal.

Source

Mitigating interference in wireless networks by leveraging UAVs to monitor and report neighboring cell conditions. The system enables serving cells to dynamically adjust their beam patterns to avoid interference without requiring network coordination, while the UAVs take proactive measures to prevent interference from neighboring cells during video transmissions. This approach enables efficient management of network resources and reduces the complexity of traditional interference mitigation solutions.

Source

Wireless communication system enabling status reporting for airborne devices. The system includes a wireless device that reports its flight status to the network using a two-bit field with four distinct states, each corresponding to a predefined status. The network receives the status indication and configures the device accordingly, including power control, radio resource allocation, and handover management. The system also enables the network to detect and mitigate interference caused by airborne devices, and to optimize network performance based on the device's flight status.

Source

Optimizing resource allocation in UAV communications through dynamic height-based scheduling. The system dynamically adjusts resource allocation based on the UAV's height and a predefined height threshold, enabling more efficient use of available resources while minimizing interference. The system continuously monitors UAV height and adjusts resource allocation in real-time to maintain optimal communication performance.

Source