Receiver Beam Training Using Multi-Arm Nulling
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Solution Overview
Problem
Existing beam training methods for wireless communication systems suffer from high resource utilization, large signaling overhead, and inefficient measurement procedures, often requiring prior knowledge of the radio channel.
Innovation Solution
A method for beam training of a receiver device using multi-arm reception beams, involving signal strength measurements, iterative nulling of arms, and updating measurements to select an optimal reception beam based on signal strength differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional beam training methods are used to scan all spatial directions, then complete beam space coverage is achieved, but relatively long delays are introduced
Solution Approach 1:
The beam training process is segmented into two phases: an initial coarse beam training phase that quickly identifies a candidate reception beam, followed by a refined beam training phase that performs exhaustive search only in the spatial direction indicated by the candidate beam. This segmentation reduces the overall search space and time while maintaining measurement precision.
Solution Approach 2:
The initial coarse beam training performs a preliminary identification of a candidate reception beam before the refined beam training phase. This preliminary action provides directional information that guides the subsequent exhaustive search, preventing the need to scan all spatial directions and thereby reducing time loss.
2Measurement precision
If exhaustive beam space scanning is performed, then accurate beam alignment is achieved, but radio resource utilization increases
Solution Approach 1:
The beam training is divided into coarse and refined phases, where the exhaustive search is limited to a restricted spatial direction identified in the coarse phase. This segmentation maintains alignment accuracy while reducing the total number of beam training resources consumed.
Solution Approach 2:
Instead of performing exhaustive search across the entire beam space, the refined beam training performs partial action only in the specific spatial direction indicated by the candidate reception beam. This partial action achieves sufficient alignment accuracy without the excessive resource consumption of complete space scanning.
3Productivity
If multi-arm beams are used to simultaneously sample multiple directions, then beam search speed is improved, but signaling overhead increases
Solution Approach 1:
The beam training process segments the use of multi-arm beams: the initial coarse beam training utilizes multi-arm beams to quickly identify candidate directions, while the refined beam training uses traditional single-beam exhaustive search in the identified direction. This segmentation achieves beam search speed improvement while controlling signaling overhead.
Data Source
AI summary
A method and other arrangements are disclosed for beam training of a receiver device configured for beamforming reception from a transmitter. The beam training is based on a plurality of multi-arm reception beams. The method includes performing signal strength measurements for each of the multi-arm reception beams, selecting one of the multi-arm reception beams based on the signal strength measurements, nulling one arm for the multi-arm reception beam, and updating the signal strength measurements by performing signal strength measurements for the multi-arm reception beam with the arm nulled. The method also includes iteratively repeating the selecting, nulling, updating and determining steps so as to obtain further signal strength measurements for multi-arm reception beams with additional arms nulled, selecting a reception beam, based on the signal strength measurements before and after the updates and selecting a reception beam based on the signal strength measurements before and after the updates.