Radio Coverage Drone Dispatch Calibration
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Solution Overview
Problem
Existing methods for dispatching radio coverage drones to a geographical area of a failing node in a radio network are inadequate, as they often require excessive drones when the Self-Organizing Network (SON) function is not triggered and fail to adapt the number of drones based on unknown radio coverage when it is triggered.
Innovation Solution
A method involving the generation of a radio coverage map that dynamically calibrates the size of the failing node's area by calculating distances between mobile communication devices and adjacent nodes, determining the actual size of the failing node's area, and dispatching a corresponding number of radio coverage drones to re-establish operability, with the ability to adjust drone deployment based on dynamic changes in radio coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the Self-Organizing Network (SON) function is not triggered, then the dispatch method is simple, but excessive drones are required to cover the failing node area
Solution Approach 1:
The system enables self-service by automatically triggering the SON function and performing dynamic calibration of the failing node area based on actual radio coverage measurements from mobile devices, eliminating the need for manual intervention and allowing the system to self-adjust drone deployment quantities
Solution Approach 2:
The patent implements feedback mechanisms by measuring actual radio coverage from mobile communication devices in the failing node area, using this information to dynamically calibrate the area size, and adjusting the number of drones dispatched based on the calibrated results, creating a closed-loop control system
2Reliability
If the SON function is triggered, then radio coverage can be measured, but the number of drones cannot be adapted when coverage is unknown
Solution Approach 1:
The system uses feedback from mobile communication devices that measure actual radio coverage in the failing node area. This measurement feedback is processed to dynamically calibrate the failing node area size, which then feeds into the decision logic for adapting the number of drones to be dispatched
Solution Approach 2:
The patent introduces dynamics by making the failing node area size adjustable and adaptable based on measured radio coverage conditions. The system transitions from a static area definition to a dynamic one that changes according to actual coverage measurements, enabling flexible drone number adaptation
3Ease of operation
If a fixed number of drones is dispatched, then deployment is straightforward, but operational costs increase and efficiency decreases
Solution Approach 1:
The system implements dynamic adjustment of the number of drones by first defining a preliminary failing node area, then dynamically calibrating this area based on actual radio coverage measurements from mobile devices. This dynamic calibration allows the system to optimize drone deployment quantities according to real conditions
Solution Approach 2:
The patent applies parameter changes by modifying the failing node area size parameter based on measured radio coverage conditions. This parameter change directly influences the number of drones dispatched, allowing the system to adapt deployment quantities to match actual coverage needs rather than using fixed numbers
Data Source
AI summary
A method for dispatching radio coverage drones to a geographical area of a failing node in a radio network, wherein the radio coverages drones are configured to re-establish operability of the failing node is disclosed. The method comprises steps being performed by a network node of generating (102) a radio coverage map, wherein the generated radio coverage map covers the geographical area of the failing node and geographical areas of adjacent nodes, identifies at least one mobile communication device having radio coverage from at least one of the adjacent nodes, and defines a size of the geographical area of the failing node, dynamically calibrating (103) the defined size of the geographical area of the failing node of the dynamically generated radio coverage map by: calculating (103a) a first distance between the identified mobile communication device and a selected one of the adjacent nodes, wherein the identified mobile communication device has coverage from the selected adjacent node while being geographically closer to the failing node than to the selected adjacent node, deducing (103b) a second distance between the failing node and the selected adjacent node, determining (103d) the actual size of the geographical area of the failing node based on the second and the first distance, and determining (104) a number of radio coverage drones to be dispatched to the geographical area of the failing node, wherein the number of radio coverage drones is based on to the actual size of the geographical area of the failing node. Corresponding computer program product, arrangement, network node, and system are also disclosed.