Beam Grouping for Random Access Signaling Overhead Reduction
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Solution Overview
Problem
In future radio communication systems, such as 5G, the challenge is to efficiently perform random access procedures using beamforming while managing the increased complexity and overhead associated with high carrier wave frequencies, which can lead to significant radio wave propagation loss and latency issues.
Innovation Solution
The solution involves controlling the transmission and reception of signals by setting resources corresponding to respective beam patterns in the random access procedure, allowing for the grouping of multiple beam patterns into fewer resource groups, thereby reducing signaling overhead and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beamforming is used in random access procedure, then communication efficiency is improved, but signaling overhead and latency increase
Solution Approach 1:
Multiple beam patterns are merged into beam groups, where each beam group shares common random access resources. This consolidation reduces the total number of resources needed while maintaining the ability to support multiple beams, thereby reducing signaling overhead and latency without sacrificing communication efficiency.
Solution Approach 2:
Random access resources are designed to serve multiple beam patterns within a beam group universally. A single random access resource can be used by multiple beams, eliminating the need for dedicated resources for each beam pattern, thus reducing overall signaling overhead and latency.
2Reliability
If multiple beam patterns are used, then coverage and reliability are improved, but device complexity increases
Solution Approach 1:
The set of beam patterns is segmented into beam groups, where each group is managed as a single entity with shared resources. This segmentation reduces the complexity of managing individual beam patterns while maintaining coverage reliability through the use of multiple beams within each group.
Solution Approach 2:
Multiple beam patterns are combined into beam groups that share common random access resources. This merging reduces the complexity of beam management by reducing the number of independent resources that need to be tracked and managed, while still providing reliable coverage through multiple beam options.
3Measurement precision
If individual beam patterns are configured with dedicated resources, then beam selection precision is improved, but signaling overhead increases
Solution Approach 1:
Multiple beam patterns are merged into beam groups that share common random access resources. This merging reduces signaling overhead by eliminating redundant resource allocations while maintaining beam selection precision through the use of beam group indicators and reference signals that allow precise beam identification within each group.
Solution Approach 2:
The resource allocation moves from a one-to-one mapping (individual beam to individual resource) to a many-to-one mapping (multiple beams to shared resource). This dimensional change in resource organization reduces signaling overhead while beam selection precision is maintained through additional signaling dimensions such as beam group indicators and reference signal measurements.
Data Source
Figure 1
Figure 2A~2B
Figure 3A~3C
AI summary
To perform a random access procedure appropriately in communication using beamforming. A user terminal for communicating with a radio base station using a plurality of beams includes: a transmission section that transmits a random access preamble; a reception section that receives a random access response corresponding to the random access preamble; and a control section that controls transmission of the random access preamble and/or reception of the random access response using given resources associated with a plurality of beam patterns.