UAV Mobile Cellular Network Interference Minimization
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Solution Overview
Problem
Traditional wireless communication methods suffer from severe interference, especially at high user densities, due to fixed base stations, which degrade user communication quality.
Innovation Solution
The method employs unmanned aerial vehicles (UAVs) to form a mobile cellular network by establishing wireless connections with ground base stations, using beam forming and interference alignment techniques to optimize signal direction and minimize interference through mobility and distributed control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If fixed base stations are used in traditional wireless networks, then network infrastructure is simple and stable, but severe inter-cell interference occurs especially at high user densities
Solution Approach 1:
The patent transforms fixed base stations into mobile UAV-based base stations that can dynamically adjust their positions and hover over user clusters. This mobility allows the system to adapt to changing user density distributions and reposition base stations to minimize inter-cell interference, directly resolving the contradiction between reducing interference and maintaining infrastructure simplicity.
Solution Approach 2:
The patent introduces a three-dimensional spatial dimension by deploying base stations on UAVs operating in aerial space rather than ground-based fixed locations. This dimensional transition enables base stations to position themselves optimally in 3D space to serve user clusters while maintaining greater separation between cells, thereby reducing inter-cell interference without significantly increasing infrastructure complexity.
2Area of stationary object
If the number of base stations is increased to cover more users, then service area coverage is improved, but interference is worsened and user communication quality is reduced
Solution Approach 1:
UAV base stations can dynamically adjust their horizontal and vertical positions to optimize coverage areas. When user density increases in certain regions, UAVs can reposition to maintain appropriate inter-cell distances while expanding coverage, thereby increasing service area without proportionally increasing interference.
Solution Approach 2:
By utilizing aerial deployment, the system achieves better spatial separation between base stations in the vertical dimension while expanding horizontal coverage. This 3D positioning capability allows multiple base stations to coexist with reduced mutual interference, enabling expanded service area coverage without the interference penalties typically associated with adding more base stations.
3Reliability
If beam forming and interference alignment techniques are used, then interference is minimized and communication quality is enhanced, but system complexity and computational requirements increase
Solution Approach 1:
The mobility of UAV base stations creates dynamic channel conditions that require adaptive beam forming and interference alignment algorithms. These algorithms continuously adjust beam directions and power allocation based on real-time UAV positions and user locations, enhancing communication quality while the system manages complexity through coordinated multi-UAV operation and centralized control.
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 reduces interference between adjacent cells, enhances user communication quality, and maintains high universality by utilizing existing wireless network equipment without the need for specialized gear.
Implementation Method 1
the main lobe of a desired signal, which is a cellular network signal for service users of a specific unmanned aerial vehicle, is made to aim at the direction of arrival of the service users and a null is made to aim at the direction of arrival of the interference signals
Implementation Method 2
the unmanned aerial vehicles receive a received signal strength indicator fed back by an user equipment and measure an angle of arrival of a signal beam from the user equipment
Data Source
AI summary
The invention provides a mobile networking method and system for minimizing interference. The mobile networking method comprises the following steps: unmanned aerial vehicles establish connection and communication with ground base stations through a wireless relay method; connection and communication between the unmanned aerial vehicles are established through a wireless self-networking method; multiple unmanned aerial vehicles cooperate to form a cellular network to provide wireless network services for users; the unmanned aerial vehicles receive a received signal strength indicator fed back by an user equipment and measure an angle of arrival of a signal beam from the user equipment; the main lobe of a signal is made to aim at the direction of arrival of service users through a mobile interference alignment method and a beam forming method thus enabling the optimal hovering position of the unmanned aerial vehicle to be obtained.