Low-Resolution ADCs for Distributed Sensing UE Selection
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently utilizing low-resolution analog-to-digital converters (ADCs) for distributed sensing procedures, which affect the accuracy and efficiency of feedback mechanisms in network nodes and user equipment.
Innovation Solution
Implementing a method where network nodes and user equipment exchange feedback information and configuration parameters related to distributed sensing procedures, including low-resolution ADC settings, to optimize the selection and performance of UEs involved in these procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If low-resolution ADCs are used in distributed sensing procedures, then device complexity and power consumption are reduced, but measurement precision and sensing accuracy deteriorate
Solution Approach 1:
The patent combines sensing procedures across multiple UEs at the network node, merging measurements from multiple low-resolution ADCs to achieve high-precision sensing results that would be impossible with individual low-resolution converters
Solution Approach 2:
The patent implements feedback mechanisms where UEs report sensing capabilities and measurements to the network node, which then optimizes the selection and configuration of UEs for distributed sensing procedures based on received feedback information
2Reliability
If feedback information is exchanged between network nodes and UEs, then sensing performance is improved, but communication overhead and processing time increase
Solution Approach 1:
The patent performs preliminary actions by having UEs report their sensing capabilities in advance before actual sensing procedures begin, allowing the network node to pre-select appropriate UEs and configure optimal parameters, thereby reducing real-time processing delays
Solution Approach 2:
The patent implements dynamic UE selection and configuration where the network node adapts the set of participating UEs and their specific configurations based on real-time feedback information about sensing conditions, capabilities, and performance
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may receive, from one or more user equipments (UEs), feedback information associated with a distributed sensing procedure. The network node may select, based at least in part on the feedback information, a set of UEs to be included in the distributed sensing procedure. The network node may transmit, to the set of UEs, an indication of configuration parameters associated with the distributed sensing procedure. Numerous other aspects are described.


