Holographic MIMO Subarray Grouping for Beam Determination
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Solution Overview
Problem
There is a need for improved beam determination, multi-user transmission, and channel state variance information (CSVI) reporting in holographic multiple input multiple output (MIMO) systems to enhance wireless communication efficiency and performance, particularly in emerging telecommunication standards like 5G NR.
Innovation Solution
Implementing methods and apparatus for configuring and managing subarray grouping information (SGI) and channel state variance information (CSVI) reporting in holographic MIMO systems, including receiving and transmitting configurations and reports to determine subarray groups and channel gains, using beam swept transmissions and subarray partitioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beam swept transmissions are performed from multiple subarrays to determine optimal beams, then beam determination accuracy is improved, but signaling overhead and reporting complexity increase
Solution Approach 1:
The patent segments the holographic MIMO antenna panel into multiple subarrays, allowing independent beam sweeping and measurement for each subarray. This segmentation enables the UE to report channel state information per subarray group rather than for the entire antenna panel, reducing the overall reporting overhead while maintaining accurate beam determination for each segment.
Solution Approach 2:
The patent implements preliminary beam sweeping and measurement across multiple subarrays before final beam selection. The UE performs channel state information measurement and reporting in advance, allowing the network entity to pre-determine subarray groupings and beam configurations, thereby reducing subsequent signaling overhead during actual data transmission.
2Productivity
If subarray grouping information is reported to enable efficient multi-user transmission, then system throughput is improved, but UE processing complexity and reporting overhead increase
Solution Approach 1:
The patent merges adjacent subarrays into subarray groups that can be jointly controlled for multi-user transmission. By combining multiple subarrays into logical groups, the system achieves better spatial multiplexing and multi-user support while reducing the number of independent reporting entities, thereby lowering UE processing complexity.
Solution Approach 2:
The subarray grouping mechanism serves multiple functions simultaneously: it enables beam determination, supports multi-user transmission, facilitates channel state reporting, and allows for resource allocation. This multi-functionality improves system throughput without proportionally increasing UE processing complexity, as the same grouping structure is reused across different operations.
3Measurement precision
If channel state variance information is reported for each subarray group, then channel state accuracy is improved, but reporting overhead and network processing increase
Solution Approach 1:
The patent segments channel state reporting by subarray groups rather than requiring individual subarray reporting. This segmentation allows the UE to report aggregated channel state variance information for each group, maintaining accurate channel state knowledge for beam management while significantly reducing the volume of reporting data compared to per-subarray reporting.
Solution Approach 2:
The patent implements partial reporting of channel state information by focusing on variance information for subarray groups rather than complete channel state matrices for all subarrays. This partial action provides sufficient accuracy for beam determination and multi-user transmission while avoiding the excessive reporting overhead that would result from comprehensive channel state reporting.
Data Source
AI summary
Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for beam determination, multi-user transmission, and channel state variance information (CSVI) reporting in a holographic multiple input multiple output (MIMO) system.