Multi-TRP Beam Reporting Using Prediction for Low-Overhead Reception
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Solution Overview
Problem
Existing communication networks face challenges in efficiently managing beamforming and multi-TRP operations due to high overhead and latency in beam reporting, particularly in scenarios where simultaneous reception from multiple TRPs is desired.
Innovation Solution
Implementing a group-based beam reporting mechanism using artificial intelligence/machine learning models to predict and report suitable beam pairs for simultaneous reception, reducing overhead and latency by utilizing prediction models to determine beam groups for multi-TRP communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional beam reporting mechanisms are used for multi-TRP communication, then beam measurement and reporting can be performed, but reference signal overhead and latency increase significantly
Solution Approach 1:
The patent segments the beam reporting process into two distinct phases: an indication phase where the UE reports only the best beam index, and a subsequent reporting phase where detailed beam information is provided. This segmentation reduces the amount of reference signal overhead required at any given time while maintaining comprehensive beam measurement capabilities.
Solution Approach 2:
The patent implements preliminary beam indication where the UE first identifies and reports the best beam index before performing detailed measurements on beam pairs. This preliminary action allows the network to pre-configure resource allocation and reduce subsequent reference signal overhead for beam pair measurements.
2Measurement precision
If comprehensive beam measurement and reporting is performed for all beam pairs, then accurate beam selection is achieved, but latency increases due to extensive measurement requirements
Solution Approach 1:
The patent performs preliminary identification of the best beam index before conducting detailed beam pair measurements. This preliminary action narrows down the measurement scope, allowing accurate beam selection to be achieved with fewer measurements and reduced latency.
Solution Approach 2:
The measurement process is segmented into initial best-beam identification followed by targeted beam pair measurements. This segmentation avoids the need to perform exhaustive measurements on all possible beam pairs simultaneously, thereby reducing latency while maintaining measurement precision.
3Adaptability or versatility
If all beam pairs are measured and reported for simultaneous reception, then complete beam group information is obtained, but overhead and processing complexity increase
Solution Approach 1:
The patent segments beam group reporting by first identifying individual best beams and then forming beam groups based on these indications. This segmentation allows the network to configure beam groups with appropriate flexibility while reducing the complexity of reporting all possible beam combinations.
Solution Approach 2:
The patent performs preliminary beam indication to identify suitable beams before configuring beam groups for simultaneous reception. This preliminary action provides the network with advance information to optimize beam group configuration, reducing processing complexity while maintaining adaptability.
Data Source
AI summary
An apparatus for use by a communication element or communication function capable of conducting multi transmission and reception point, TRP, operation, the apparatus comprising at least one processing circuitry, and at least one memory for storing instructions that, when executed by the at least one processor, cause the apparatus at least to obtain channel state information reporting configuration information for enabling group-based beam reporting based on prediction (S510), to receive a plurality of beams comprising at least one set of beams for measurement and at least one set of beams of prediction (S520), to determine an association of the received plurality of beams to a respective TRP of a communication network (S530), to measure resources from the at least one set of beams for measurement for identifying beam groups for simultaneous reception (S540), and to determine further beam groups usable for simultaneous reception by using a prediction model (S550), wherein the further beam groups comprise beams of the at least one set of beams for measurement and the at least one set of beams for prediction.