Multi-Antenna RS Resource Selection for Low-Latency 6G Links
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Solution Overview
Problem
Existing wireless communication systems face challenges in meeting the high data rates, low latency, and connectivity requirements of 6G networks, particularly in scenarios involving satellite integration, connected intelligence, and ubiquitous connectivity.
Innovation Solution
The implementation of advanced technologies such as THz communication, massive MIMO, hologram beamforming, and integrated sensing and communication systems, along with AI-driven network management, to enhance data transmission and connectivity in 6G networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resource selection is performed through N antennas for RS transmission, then the data transmission rate is improved, but the device complexity increases
Solution Approach 1:
The resource selection process is segmented across N antennas, where each antenna independently selects resources from the candidate resource set. This segmentation enables parallel processing of resource selection, improving data transmission rate while distributing the computational complexity across multiple antenna elements rather than concentrating it in a single processing unit.
2Reliability
If sensing is used to determine candidate resource set, then the reliability of transmission is improved, but the latency increases
Solution Approach 1:
The system performs sensing operations in advance to pre-determine the candidate resource set before actual data transmission is required. By completing the sensing and candidate selection beforehand, the system ensures reliable transmission through thorough channel assessment while minimizing the latency during the actual data transmission phase, as the resource selection is already prepared.
3Quantity of substance
If multiple adjacent resources are grouped into multi-resources, then the spectral efficiency is improved, but the difficulty of resource management increases
Solution Approach 1:
Multiple adjacent resources are merged into unified multi-resource groups, where N adjacent resources form a single multi-resource entity. This merging approach improves spectral efficiency by enabling more efficient resource allocation and utilization. The resource management difficulty is addressed by treating each multi-resource group as a single manageable unit, simplifying the overall resource management structure despite the increased number of resources being utilized.
Data Source
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AI summary
Proposed are a method by which a first device performs wireless communication, and an apparatus supporting same. For example, the first device may trigger resource selection for RS transmission over N antennas. For example, the first device may determine, on the basis of sensing, a candidate resource set having, as one unit, multiple resources consisting of N adjacent resources within a resource selection window. For example, the first device may select first multiple resources from the candidate resource set. For example, the first device may perform first RS transmission on the basis of the selected first multiple resources.