Aerial Wireless Device Detection via ToA and RSRP Metrics
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Solution Overview
Problem
Current wireless communication networks face challenges in identifying and managing aerial wireless devices, such as drones, which cause signal interference and performance reduction due to high altitude, leading to inefficient network handling and pricing schemes.
Innovation Solution
The method involves using Time-of-Arrival (ToA) metrics and other parameters like Timing Advance (TA), Rise-over-Thermal (RoT), and Reference Signal Received Power (RSRP) to determine if a wireless device is aerial, allowing the network to optimize its algorithms and pricing schemes accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If aerial wireless devices are allowed to operate in the network, then network coverage and connectivity are improved, but signal interference and network performance deteriorate
Solution Approach 1:
The patent segments wireless devices into terrestrial and aerial categories based on their operational characteristics. By identifying aerial devices through specific metrics (ToA, TA, RoT, RSRP patterns), the network can apply differentiated handling strategies for each segment, allowing aerial devices to operate while mitigating their interference impact on terrestrial devices.
Solution Approach 2:
The patent changes network parameters dynamically based on device type. When aerial devices are detected through metric analysis, the network adjusts resource allocation, pricing schemes, and algorithmic parameters specifically for aerial devices, thereby maintaining network performance while accommodating the expanded coverage provided by aerial operation.
2Device complexity
If conventional network algorithms are used for aerial devices, then device complexity is reduced, but network performance and resource allocation efficiency deteriorate
Solution Approach 1:
The patent enables aerial devices to self-identify through their inherent communication metrics. The devices report standard metrics (ToA, TA, RoT, RSRP) that the network analyzes to automatically determine aerial status, eliminating the need for complex external detection mechanisms while enabling differentiated resource allocation and optimized performance for aerial operations.
3Device complexity
If aerial devices are not identified, then network management is simplified, but economic differentiation and optimized pricing schemes cannot be implemented
Solution Approach 1:
The patent implements a feedback mechanism where the network continuously monitors communication metrics (ToA, TA, RoT, RSRP) from wireless devices and uses this feedback to identify aerial devices. This feedback loop enables the network to dynamically adjust pricing schemes and resource allocation based on device type, achieving economic differentiation while maintaining relatively simple management through automated metric-based classification.
Data Source
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AI summary
A method and one or more network nodes (110a-c; 210a-c) for use in a wireless communication network (100; 200) to determine whether a wireless device 5 (120a; 120b; 120c; 220) is aerial. The one or more one or more network nodes (110a- c; 210a-c) communicate (405) with the wireless device (120a; 120b; 120c; 220) to instruct to report one or more metrics of wireless device parameters. The one or more network nodes (120a-c; 210a-c) receives (406) from the wireless device (120a; 120b; 120c; 220) a report of the metrics and then compares (408) the reported metrics to 0 terrestrial metrics to determine whether the wireless device (120a; 120b; 120c; 220) is aerial.