QCL-Based Channel Measurement for Optimal Massive MIMO Beam Selection
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Solution Overview
Problem
Existing beam selection methods in massive MIMO systems result in suboptimal beam choices, leading to low throughput and high block error rates during signal or channel transmission.
Innovation Solution
A method for channel and interference measurement that involves receiving a group of reference signal resources, measuring channel and interference based on quasi co-location information, and adjusting measurement parameters to reduce inter-beam and neighboring-cell interference, allowing for the selection of an ideal beam for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beam selection is performed based on L1-RSRP measurement only, then the beam selection process is simple, but the selected beam is not ideal resulting in low throughput and high block error rate
Solution Approach 1:
The measurement process is segmented into two independent parts: L1-RSRP measurement for signal strength and L1-SINR measurement for signal quality. This segmentation allows the system to evaluate both throughput potential (via RSRP) and error rate risk (via SINR)), resolving the contradiction by enabling ideal beam selection without excessive complexity.
Solution Approach 2:
The patent changes the measurement parameter from单一的L1-RSRP to a combined L1-RSRP and L1-SINR approach. By introducing SINR as an additional parameter, the system can identify beams that not only have strong signal strength but also high signal quality, thereby improving throughput and reducing block error rates.
2Object-affected harmful factors
If traditional beam selection methods are used, then the measurement process is simple, but inter-beam and neighboring-cell interference cannot be effectively reduced
Solution Approach 1:
The patent introduces interference measurement resources (IMR) as an intermediary element that specifically targets and measures interference from other beams and neighboring cells. This intermediary measurement mechanism enables the system to identify and mitigate harmful interference while maintaining measurement precision through dedicated interference measurement configurations.
Solution Approach 2:
The system performs preliminary interference measurement and evaluation before final beam selection. By measuring L1-SINR on candidate beams and evaluating interference levels in advance, the system can pre-filter out beams with high interference, ensuring that only beams with acceptable interference levels are considered for selection.
3Reliability
If only L1-RSRP measurement is performed, then the measurement process is fast, but the block error rate remains high due to suboptimal beam selection
Solution Approach 1:
The patent applies partial action by measuring L1-SINR only on the top N candidate beams identified through L1-RSRP measurement, rather than performing exhaustive SINR measurements on all beams. This approach significantly reduces measurement time while still achieving reliable beam selection, as the SINR measurement is concentrated on the most promising candidates.
Solution Approach 2:
The system performs preliminary L1-RSRP measurement to identify candidate beams before conducting more time-consuming L1-SINR measurements. This two-stage approach with preliminary filtering ensures that time-consuming SINR measurements are performed only on a reduced set of candidate beams, maintaining reliability while minimizing measurement time.
Data Source
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AI summary
This disclosure provides a method for channel and interference measurement and a device. The method includes: receiving a first group of reference signal resources; and measuring a channel and an interference that are corresponding to at least one first reference signal resource in the first group of reference signal resources, where the channel and the interference that are corresponding to the first reference signal resource are measured based on quasi co-location QCL information of the first reference signal resource.