Flying Base Station Swarm Deployment for QoS and Interference Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The deployment of UAV-based Flying Base Stations (FBS) for communication networks faces challenges in providing guaranteed Quality of Service (QoS) without inter-FBS interference and capacity limit violations, especially in scenarios requiring rapid deployment over large geographical regions.
Innovation Solution
A system and method for energy-efficient 3-D deployment of UAV-based FBSs using a Master-Slave coordination technique, involving a control server, master FBS, and slave FBSs, which includes auto collision avoidance, path planning, and synchronization to ensure optimal placement and communication link establishment without interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a swarm of UAV based FBSs is deployed over a large geographical region, then communication coverage is improved, but deployment complexity and coordination difficulty increase
Solution Approach 1:
The deployment process is segmented into distinct phases: master FBS deployment first, followed by slave FBS deployment. Each FBS is deployed independently with specific coordination rules, breaking down the complex swarm deployment into manageable sequential steps that reduce overall deployment complexity while achieving large area coverage
Solution Approach 2:
The master FBS acts as an intermediary coordinator that establishes communication links with slave FBSs and manages the deployment process. This intermediary structure simplifies coordination by centralizing control functions, allowing multiple slave FBSs to be deployed without requiring complex peer-to-peer coordination between all units
2Area of stationary object
If FBSs are placed closer together to cover more area, then coverage is improved, but inter-FBS interference increases
Solution Approach 1:
The system assigns different frequency resources to different FBSs based on their local deployment positions and coverage areas. This local quality differentiation allows FBSs to operate in close proximity without causing harmful interference, as each FBS uses frequency resources optimized for its specific location and coverage requirements
Solution Approach 2:
The patent transitions from traditional 2D ground-based deployment to 3D aerial deployment, utilizing vertical dimension for altitude variation. This dimensional change allows FBSs to be positioned at different heights to optimize coverage while minimizing interference, as FBSs at different altitudes experience different propagation conditions and can be frequency-coordinated more effectively
3Productivity
If rapid deployment is implemented to respond quickly to events, then deployment speed is improved, but deployment precision and QoS guarantee deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal deployment positions for slave FBSs based on the master FBS location and event area characteristics. This preliminary positioning planning enables rapid deployment without sacrificing precision, as the optimal positions are determined in advance using geometric algorithms that ensure proper spacing and coverage
Solution Approach 2:
The deployment system incorporates feedback mechanisms where the master FBS receives location information from slave FBSs and adjusts coordination accordingly. This feedback loop ensures that even during rapid deployment, the system can verify positions and make real-time adjustments to maintain deployment precision and guarantee QoS requirements
4Reliability
If more FBSs are deployed to ensure QoS, then service quality is improved, but energy consumption increases
Solution Approach 1:
The system deploys the minimum necessary number of slave FBSs to ensure QoS requirements are met, rather than deploying excessive FBSs. The geometric spacing algorithm calculates the optimal number of FBSs needed based on coverage area and QoS requirements, avoiding unnecessary energy consumption from over-deployment while still providing sufficient service quality
Solution Approach 2:
The patent optimizes deployment parameters including FBS spacing, altitude, and frequency allocation to minimize energy consumption while maintaining QoS. By changing these parameters systematically through geometric algorithms and frequency coordination, the system achieves energy-efficient deployment that provides guaranteed service quality without requiring excessive FBS units
Data Source
AI summary
Unmanned aerial vehicle (UAV) mount with a base station, also known as Flying Base Station (FBS) has garnered considerable attention for 5G and beyond communication. This invention provides a method and system for deploying a swarm of FBSs over a geographical region autonomously. The proposed 3-D deployment technique exhibit how to place a minimum number of FBSs energy efficiently over a region to offer guaranteed QoS without inter-UAV interference and UAV capacity limit violations. A Master-Slave coordination technique is revealed to maintain inter-FBS synchronization to avoid collisions during the transition. The technique for selecting intermediate hop coordinates is proclaimed under path planning.