Predicting Angle of Departure for Millimeter Wave Beam Alignment
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Solution Overview
Problem
Current wireless communication systems face inefficiencies in millimeter wave communications due to the need for beam sweeping over oversampled beamforming codebooks, which increases overhead and power consumption, and do not effectively utilize non-codebook beams for improved channel estimation.
Innovation Solution
Implementing a sparse recovery operation at the receiver network node to predict the angle of departure (AoD) associated with a dominant channel cluster, allowing for the selection of custom beams that improve spectral efficiency and reduce unnecessary overhead, enabling better angular resolution and communication throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beam sweeping over oversampled beamforming codebooks is used, then beam alignment accuracy is improved, but overhead and power consumption increase
Solution Approach 1:
The patent extracts only the necessary beam information by identifying dominant channel clusters and their associated angles of departure, rather than performing exhaustive beam sweeping over all codebook beams. This extraction approach maintains beam alignment accuracy while significantly reducing overhead by focusing only on the most significant channel components.
Solution Approach 2:
The patent performs preliminary channel estimation to identify dominant channel clusters and their angles of departure before actual beamforming operations. This preliminary action allows the system to pre-determine the most relevant beam directions, eliminating the need for subsequent exhaustive beam sweeping and reducing overall overhead.
2Measurement precision
If beam sweeping over oversampled beamforming codebooks is used, then beam alignment accuracy is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the necessary beam information by identifying dominant channel clusters and their associated angles of departure, rather than performing exhaustive beam sweeping over all codebook beams. This extraction approach maintains beam alignment accuracy while significantly reducing power consumption by focusing only on the most significant channel components.
Solution Approach 2:
The patent applies partial action by performing channel estimation and dominant cluster identification on only a subset of channel characteristics rather than analyzing all possible beam directions. This partial analysis approach achieves sufficient beam alignment accuracy while reducing the computational and energy resources required compared to exhaustive beam sweeping.
3Productivity
If custom beams are used, then spectral efficiency is improved, but system complexity increases
Solution Approach 1:
The patent changes the parameters of beamforming by transitioning from fixed codebook beams to custom beams generated based on identified angles of departure and dominant channel clusters. This parameter change enables spectral efficiency improvement through optimized beam directions while the use of standard signal processing techniques keeps implementation complexity manageable.
Solution Approach 2:
The patent performs preliminary channel estimation and dominant cluster identification to determine optimal beam parameters before actual transmission. This preliminary action allows custom beams to be generated with precise parameters tailored to the current channel conditions, improving spectral efficiency while the systematic approach keeps complexity controlled.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may receive a signal. The first network node may transmit an angle of departure (AoD) report that indicates at least one predicted AoD associated with a dominant channel cluster, wherein the at least one predicted AoD is based at least in part on the signal. Numerous other aspects are described.