UAV Handover Frequency Switching to Reduce Cell Interference
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Solution Overview
Problem
Aerial user equipment (UAVs) experience intra-frequency interference and handover failures due to high transmission power of special serving cell equipment with up-tilted antennas, leading to Radio Link Failures and Handover Failures in LTE and 5G networks.
Innovation Solution
Implementing a system that identifies UAVs using unique identification methods, tracks their trajectory, and adjusts transmission gain values of serving cell equipment to minimize intra-frequency interference by switching to less interfered frequencies, ensuring smooth handovers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If high transmission power is used by special serving cell equipment with up-tilted antennas to extend coverage area, then coverage area is improved, but intra-frequency interference increases causing handover failures
Solution Approach 1:
The system dynamically changes transmission power parameters and frequency selection based on UAV location and interference conditions. The network equipment adjusts transmission gain values and switches frequencies to minimize intra-frequency interference while maintaining coverage, directly applying parameter changes to resolve the contradiction between coverage area and interference levels
2Reliability
If frequency switching is performed to reduce intra-frequency interference, then handover performance is improved, but handover complexity increases
Solution Approach 1:
The system performs preliminary frequency selection and interference assessment before handover is needed. By pre-identifying suitable frequencies and evaluating interference conditions in advance, the system reduces the complexity of actual handover execution while maintaining reliable handover performance
Solution Approach 2:
The system implements feedback mechanisms where UAVs report received signal strength and interference levels, and network equipment uses this feedback to make informed frequency switching decisions. This feedback loop enables automated handover management that improves reliability while keeping complexity manageable through intelligent control
Data Source
AI summary
An architecture to improving handover performance when servicing UAVs over advanced networks. A method can comprise determining a first group of frequencies that serving cell equipment is capable of supporting, identifying a first frequency of the first group of frequencies and a second frequency of the first group of frequencies based on determining a probability value associated with the first frequency and the second frequency overlapping, determining a second group of frequencies that are supported by an unmanned aerial vehicle determining that the unmanned aerial vehicle is using the first frequency to communicate with the serving cell equipment, determining handover serving cell equipment for the unmanned aerial vehicle based on tracking data associated with the unmanned aerial vehicle, and instructing the target cell equipment to decrease a first transmission gain value associated with the first frequency and increase a second transmission gain value associated with the second frequency.


