Integrated Sensing Communication Resource Grouping
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Solution Overview
Problem
Current integrated sensing and communication systems in mobile communication face challenges in efficiently utilizing resources for both communication and sensing purposes, particularly in optimizing resources for different objectives such as received signal strength and sensing accuracy.
Innovation Solution
The system employs an apparatus that broadcasts reference signals using multiple resources as part of a beam sweeping algorithm, receives information on preferred resources for communication and sensing from communication nodes and objects respectively, and forms groups based on these optimal resources. It then defines resources for each group to maximize either communication or sensing objectives while meeting the other's requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are allocated to maximize communication objectives (data transfer), then communication performance is improved, but sensing performance deteriorates
Solution Approach 1:
The system segments communication nodes and objects into different groups based on their resource preferences. Communication nodes are grouped with objects that share similar optimal resource characteristics, allowing dedicated resource allocation for each group. This segmentation enables simultaneous optimization of communication and sensing for different groups without mutual interference.
Solution Approach 2:
The system changes resource parameters (time-frequency resources, beam directions) based on the specific group being served. By dynamically adjusting resource allocation parameters according to group characteristics and objectives, the system can maximize data transfer for communication groups while maintaining adequate sensing performance for sensing groups.
2Measurement precision
If resources are allocated to maximize sensing objectives (positioning accuracy), then sensing performance is improved, but communication performance deteriorates
Solution Approach 1:
The system segments communication nodes and objects into different groups based on their resource preferences. Communication nodes are grouped with objects that share similar optimal resource characteristics, allowing dedicated resource allocation for each group. This segmentation enables simultaneous optimization of communication and sensing for different groups without mutual interference.
Solution Approach 2:
The system changes resource parameters (time-frequency resources, beam directions) based on the specific group being served. By dynamically adjusting resource allocation parameters according to group characteristics and objectives, the system can maximize data transfer for communication groups while maintaining adequate sensing performance for sensing groups.
3Loss of energy
If a single resource is used for both communication and sensing, then resource efficiency is improved, but performance for both objectives deteriorates
Solution Approach 1:
The system segments the resource pool into group-specific resources based on communication nodes' and objects' preferences. By dividing resources into dedicated communication resources and dedicated sensing resources for different groups, the system eliminates resource conflicts while maintaining overall resource efficiency through structured allocation.
Solution Approach 2:
The system creates a universal resource allocation framework that can serve multiple objectives simultaneously. The same apparatus and resource management mechanism handle both communication and sensing requirements for different groups, providing multi-functionality without sacrificing performance in either domain.
Data Source
AI summary
An apparatus, method and computer program includes: broadcasting a reference signal using a plurality of different resources as part of a beam sweeping algorithm; receiving, from one or more communication nodes of a mobile communication system, details of preferred or optimal resources for communication with the respective communication nodes based on a first objective; receiving, from some or all of one or more objects of the mobile communication system, details of preferred or optimal resources for sensing of the respective objects based on said second objective different to the first objective; and forming one or more communication nodes of a mobile communication system and one or more objects of the mobile communication system into one or more groups, wherein each group comprises one or more of said nodes and one or more of said objects.


