Network Device UE Selection for Ambient IoT Backscattering
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Solution Overview
Problem
As the number of IoT devices is expected to surge, existing wireless communication technologies face challenges in efficiently managing and optimizing the backscattering service provided by user equipment (UEs) to ambient IoT devices, leading to resource wastage and inadequate activation of IoT devices.
Innovation Solution
A network device that accesses deployment information for both ambient IoT devices and UEs, iteratively selects candidate UEs based on availability and backscattering signal criteria, adjusting parameters such as activation power and duration to optimize the number of UEs providing backscattering service, ensuring efficient resource utilization and sufficient IoT device activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing wireless communication technologies are used to manage backscattering service, then basic connectivity is maintained, but resource wastage occurs and inadequate activation of IoT devices happens
Solution Approach 1:
The system dynamically adjusts transmission power levels and service duration parameters for candidate UEs based on real-time backscattering signal quality metrics. By changing these parameters iteratively, the system optimizes resource utilization while ensuring sufficient IoT device activation, resolving the contradiction between productivity improvement and energy loss reduction.
Solution Approach 2:
The network device receives feedback regarding the quality of backscattering signals from candidate UEs and uses this information to iteratively select the most suitable UEs for providing backscattering service. This feedback mechanism enables the system to adapt to actual signal conditions, improving activation efficiency while minimizing resource wastage by avoiding selection of UEs with poor signal quality.
2Quantity of substance
If more UEs are selected to provide backscattering service, then IoT device activation increases, but resource utilization efficiency decreases
Solution Approach 1:
The system adjusts the number of selected candidate UEs and their respective transmission parameters based on signal quality feedback. Instead of selecting a fixed number of UEs, the system dynamically determines the optimal quantity of UEs needed to achieve sufficient IoT device activation while maintaining resource utilization efficiency, thus resolving the contradiction between quantity increase and efficiency loss.
3Measurement precision
If iterative selection with multiple parameters is implemented, then selection accuracy improves, but system complexity increases
Solution Approach 1:
The iterative selection process is divided into discrete steps: initial candidate identification, signal quality assessment, parameter adjustment, and final selection. By segmenting the complex selection process into manageable stages with clear decision criteria at each step, the system achieves high selection accuracy while keeping the implementation complexity可控 through modular processing.
Data Source
AI summary
A network device includes at least one processor and at least one memory. The memory stores instructions which, when executed by the processor(s), cause the network device at least to: access ambient IoT device deployment information for ambient IoT devices and user equipment apparatus (UE) deployment information for user equipment apparatuses (UEs); select, based on the ambient IoT device deployment information and the UE deployment information, candidate user equipment apparatuses (candidate UEs), from among the UEs, for providing backscattering service to ambient IoT devices; and iteratively select a subset of UEs, among the candidate UEs, to provide the backscattering service, where the iterative selecting is based at least on, for each iteration, at least one of: respective availability of the plurality of candidate UEs to provide the backscattering service, or at least one criterion relating to respective information in backscattering signals provided by the plurality of ambient IoT devices.