Infrastructure Equipment for Dynamic Aerial Cell Coverage
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Solution Overview
Problem
Current mobile telecommunications systems face challenges in providing efficient mobility management and minimizing interference for aerial Unmanned Aerial Vehicles (UAVs) within cellular networks, as they experience fewer handovers and radio link failures compared to ground UEs, leading to significant interference with terrestrial communications.
Innovation Solution
The implementation of infrastructure equipment with circuitry that provides dynamic aerial cell coverage in relation to the mobility of aerial UEs, using beam-forming technology and mobility information to adapt radio resource allocation and handover procedures, allowing for efficient tracking and management of aerial vehicles without static reference signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If static cell coverage is provided to aerial UEs, then coverage area is increased, but interference with terrestrial UEs increases and mobility management becomes inefficient
Solution Approach 1:
The patent implements dynamic cell coverage that adapts to the mobility characteristics of aerial UEs. The network entity continuously updates cell coverage parameters based on reported mobility information (speed, altitude, trajectory) from aerial UEs, transforming the static coverage model into a dynamic one that tracks aerial UE movement patterns while minimizing interference with terrestrial communications.
Solution Approach 2:
The patent changes key coverage parameters (cell radius, reference signal power, handover thresholds) based on the mobility state of aerial UEs. By adjusting these parameters dynamically according to reported speed and altitude information, the system optimizes coverage for fast-moving aerial UEs while reducing harmful interference to stationary or slow-moving terrestrial UEs.
2Productivity
If handover procedures are optimized for aerial UEs, then mobility management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent enables aerial UEs to self-report their mobility information (speed, altitude, trajectory) to the network entity. This self-service approach allows the network to automatically adapt handover parameters without requiring complex centralized tracking systems, reducing overall system complexity while improving mobility management efficiency for aerial UEs.
Solution Approach 2:
The patent implements a feedback mechanism where aerial UEs continuously report their mobility state to the network entity, which then adjusts handover parameters accordingly. This closed-loop feedback system enables efficient mobility management by using real-time information from aerial UEs to optimize handover decisions, reducing the need for complex predictive algorithms.
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 enables efficient mobility management for aerial vehicles with minimal interference to terrestrial UEs, optimizing radio resource usage and maintaining reliable communication by dynamically adjusting cell coverage based on the mobility and location of aerial UEs.
Implementation Method 1
a connection request received from the aerial UE triggers the circuitry to transmit reference signals by beam-forming technology to the aerial UE
Data Source
AI summary
Infrastructure equipment comprising circuitry configured to provide a terrestrial cell coverage to a terrestrial UE and an aerial cell coverage to an aerial UE, the aerial cell coverage being provided in a tracking manner in relation to a mobility of the aerial UE.