Adaptive Beam Aggregation for UAV Wireless Links
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Solution Overview
Problem
Conventional wireless communication systems face challenges in efficiently managing variable data throughputs between unmanned aerial vehicles (UAVs) and ground-based customer premise equipment (CPE) stations, particularly in areas with uneven CPE distribution and varying bandwidth requirements, leading to increased costs and reduced utilization due to the need for additional equipment.
Innovation Solution
The system employs reconfigurable antenna arrays on UAVs, which can operate at different frequencies and power levels, and combine individual antennas to form phased arrays, allowing for adaptive bandwidth allocation and efficient power management, enabling variable data throughputs to match the demands of different CPE stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If additional equipment (transceivers, antennas, power supplies) is added to existing UAVs to service temporary surges in bandwidth demand, then the bandwidth capacity is improved, but the device complexity, weight, and cost increase
Solution Approach 1:
The patent implements dynamic reconfiguration of antenna arrays and transceiver resources based on real-time bandwidth demands. The system can dynamically adjust the number of active antennas, beamforming configurations, and transceiver allocations to match varying CPE station requirements, allowing a single UAV to adapt its capacity without permanent additional equipment
Solution Approach 2:
The patent creates a multi-functional transceiver system where the same hardware resources (antennas, transceivers, power supplies) can serve multiple different CPE stations with varying bandwidth requirements. The system universally handles different throughput demands by reallocating existing resources rather than requiring dedicated equipment for each scenario
2Quantity of substance
If buffer UAVs are added to absorb surges in bandwidth demand, then the bandwidth capacity is improved, but the device complexity and cost increase
Solution Approach 1:
The system dynamically adjusts its resource allocation and antenna configurations in real-time to handle bandwidth surges from multiple CPE stations simultaneously. This dynamic adaptation eliminates the need for static buffer UAVs by allowing a single UAV to flexibly respond to varying demand patterns
Solution Approach 2:
The UAV system performs self-allocation of transceiver resources and antenna beamforming configurations based on detected CPE station requirements. The system automatically manages its own resource distribution without requiring additional buffer vehicles, achieving high resource utilization through autonomous adaptation
3Adaptability or versatility
If additional equipment is added to service variable bandwidth demands, then the adaptability is improved, but the weight and power consumption exceed available UAV capacity
Solution Approach 1:
The patent implements dynamic resource allocation where the same physical equipment can adapt to different bandwidth requirements through software-controlled beamforming, antenna selection, and transceiver configuration. This dynamic approach provides high bandwidth adaptability without adding physical weight to the UAV
4Adaptability or versatility
If additional equipment is added to service variable bandwidth demands, then the adaptability is improved, but the cost increases
Solution Approach 1:
The patent creates a universal transceiver system where existing equipment can serve multiple different bandwidth scenarios through software control and resource allocation algorithms. This multi-functionality provides high adaptability to variable CPE demands without requiring expensive additional hardware for each scenario
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for robust, economical, and adaptable wireless communication systems that can efficiently manage varying bandwidth demands, reducing the need for additional equipment and optimizing resource utilization, especially in areas with underdeveloped ground-based networks.
Implementation Method 1
transmitting/receiving wireless signals... The antenna arrays can be configured to transmit and receive electromagnetic (EM) signals at different frequencies
Implementation Method 2
combine individual antennas to form phased arrays... The individual antennas may be configured to operate as a phased array antenna
Data Source
AI summary
Systems and associated methods for adaptive beam aggregation in wireless communications between unmanned aerial vehicles (UAVs) and ground-based stations are disclosed herein. In some embodiments, a method for transmitting wireless data between an unmanned aerial vehicle (UAV) and a customer premise equipment (CPE) station includes transmitting a first wireless data between a first antenna array and a first CPE station and transmitting a second wireless data between a second antenna array and a second CPE station. The first and second antenna arrays can include one or more individual antennas of the UAV.