Dynamic Antenna Array Reconfiguration for Millimeter Wave Beam Training
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Solution Overview
Problem
Current 5G NR systems operating in millimeter wave bands face limitations in dynamically reconfiguring antenna arrays to optimize performance based on changing conditions such as beamwidth, power consumption, and thermal considerations, which can lead to suboptimal signal quality and increased power usage.
Innovation Solution
The system allows user equipment (UE) to detect antenna array change conditions and autonomously request beam training for a new configuration, which can include changing the active antenna array configuration to improve beamwidth and support additional radio-frequency chains, with the base station determining whether to grant or deny the request and coordinating beam training using reference signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the antenna array configuration is fixed, then the device complexity is reduced, but the adaptability to changing channel conditions deteriorates
Solution Approach 1:
The patent implements dynamic antenna array reconfiguration where the UE can switch between different antenna configurations (e.g., 8T8R, 4T4R, 2T2R) based on detected channel conditions such as angular spread of clusters. This dynamic adaptation allows the system to optimize performance for varying propagation environments while maintaining manageable complexity through standardized reconfiguration procedures.
Solution Approach 2:
The system employs feedback mechanisms where the UE detects channel conditions (angular spread, cluster characteristics) and autonomously determines when reconfiguration is needed. The UE requests beam training and configuration changes based on this feedback, creating a closed-loop system that adapts to changing conditions without requiring continuous network control.
2Measurement precision
If beam training is performed frequently, then the beam accuracy is improved, but the loss of time increases
Solution Approach 1:
The system performs beam training in advance when configuration changes are detected, rather than waiting for performance degradation. When the UE detects an antenna array change condition, it proactively requests beam training for the new configuration, ensuring accurate beam alignment is established before actual communication using the new configuration begins.
Solution Approach 2:
The patent implements beam training only when necessary - specifically when antenna configuration changes are detected - rather than performing continuous or excessive beam training. This partial action approach maintains beam accuracy while minimizing time loss by avoiding redundant training operations in stable conditions.
3Reliability
If more antenna elements are activated, then the signal quality is improved, but the power consumption increases
Solution Approach 1:
The system dynamically adjusts the number of active antenna elements based on detected channel conditions. The UE can switch between configurations such as 8T8R (high signal quality, high power), 4T4R (moderate performance), and 2T2R (low power) modes, allowing optimization of the trade-off between signal quality and power consumption according to actual propagation conditions.
Solution Approach 2:
The patent changes the operational parameters of the antenna array by adjusting the number of active transmit and receive elements. This parameter change allows the system to adapt power consumption levels to match channel conditions - using more elements when signal quality is prioritized and fewer elements when power saving is needed.
4Reliability
If more antenna elements are activated, then the signal quality is improved, but the thermal considerations worsen
Solution Approach 1:
The system dynamically adjusts antenna configuration to manage thermal generation. By switching between configurations with different numbers of active elements (8T8R, 4T4R, 2T2R), the UE can reduce the number of active components when thermal conditions become problematic, thereby reducing heat generation while maintaining adequate signal quality when conditions permit.
Data Source
AI summary
The present disclosure relates to dynamic antenna array reconfiguration and signaling in millimeter wave bands. A user equipment (UE) may detect an antenna array change condition. The UE may transmit a request for beam training for an antenna array configuration in response to the detecting. The request for beam training may include a requested antenna array configuration for the UE and an indication of beam weights to use with the requested antenna array configuration. A base station may determine whether to grant or deny the requested antenna array configuration for the UE. The UE may receive, from the base station, an indication of an antenna array configuration for the UE. The base station may transmit the number of reference signals as a set of contiguous channel state information reference signals (CSI-RS). The UE may train the reconfigured active antenna array configuration based on the reference signals.