M-TRP CSI Reporting with CPU Allocation by Measurement Resources
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently transmitting channel state information for multiple Transmission and Reception Points (TRPs) due to limitations in processing units and resource management, which affect signal transmission and reception efficiency.
Innovation Solution
A method and apparatus for User Equipment (UE) in a wireless communication system that computes and transmits Channel Status Information (CSI) for Multiple TRP-based Coherent Joint Transmission (CJT) by determining the number of CSI Processing Units (CPUs) based on the number of Channel Measurement Resources (CMRs), enabling efficient resource allocation and CSI computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of measurement resources for M-TRP is increased to improve transmission reliability, then the CSI computation complexity and processing time increase
Solution Approach 1:
The patent segments the CSI computation process by introducing separate CSI processing units (CPUs) that independently process different measurement resources. Each CPU handles specific CMRs, allowing parallel computation and reducing overall complexity while maintaining comprehensive measurement coverage for multiple TRPs.
Solution Approach 2:
The patent introduces a dimensional change by mapping measurement resources to spatial dimensions through multiple TRPs and corresponding CPUs. This allows the system to handle increased measurement complexity by distributing computations across multiple spatial and processing dimensions rather than increasing single-point complexity.
2Measurement precision
If the number of measurement resources is increased to improve channel state estimation accuracy, then the processing time and computational load increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple measurement resources and establishing the mapping between CMRs and TRPs before actual CSI computation is needed. This allows the system to efficiently process measurements during transmission without requiring complex real-time computations, as the measurement framework is already in place.
Solution Approach 2:
By segmenting the computation into separate CPUs that independently process different measurement resources, the system can accurately estimate channel states from multiple TRPs simultaneously without the processing time increasing linearly with the number of resources. Each CPU operates in parallel, maintaining accuracy while controlling processing time.
3Productivity
If more CSI processing units are allocated to handle multiple TRP measurement resources, then the resource allocation complexity increases
Solution Approach 1:
The patent applies universality by designing a standardized mapping mechanism that can accommodate any number of TRPs and measurement resources using the same CPU architecture and resource allocation principles. This universal approach allows the system to scale productivity by adding TRPs without increasing allocation complexity, as the same mapping rules apply regardless of the number of components.
Data Source
AI summary
The present disclosure relates to a method performed by user equipment (UE) in a wireless communication system. Particularly, the method comprises the steps of receiving, from a base station (BS), information regarding a plurality of measurement resources corresponding to a multiple transmission and reception point (M-TRP); on the basis of the plurality of measurement resources, calculating channel status information (CSI) related to the M-TRP-based coherent joint transmission (CJT); and transmitting, to the BS, the CSI related to the M-TRP-based CJT, wherein the number of CSI processing units (CPUs) for calculating the CSI related to the M-TRP-based CJT is determined on the basis of the number of channel measurement resources (CMRs) from among the measurement resources.