Bi-Directional Beam Refinement Using Device-Aware Training Phases
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Solution Overview
Problem
Existing wireless communication systems lack efficient coordination in beam refinement procedures, leading to suboptimal performance and resource inefficiencies due to varying hardware properties, power consumption, thermal metrics, and mobility states among devices.
Innovation Solution
Devices dynamically coordinate beam refinement procedures based on differential metrics and constraints, such as antenna elements, power consumption, thermal differentials, and mobility states, to optimize beam training phases and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beam refinement procedures are performed using fixed sequences without coordination, then device complexity is reduced, but communication efficiency and resource utilization deteriorate
Solution Approach 1:
The patent implements dynamic beam refinement sequences where devices adapt the order and selection of beam training phases (P2, P3) based on real-time differential metrics such as antenna element counts, power consumption levels, thermal states, and mobility conditions. This dynamic adaptation resolves the contradiction by allowing coordination complexity to increase only when and where it improves communication efficiency, rather than applying fixed rigid sequences to all devices regardless of their operational state
Solution Approach 2:
The system changes operational parameters (beam refinement sequence, phase selection, resource allocation) based on varying device metrics. Devices with different antenna configurations, power states, thermal conditions, or mobility levels receive customized beam refinement instructions, optimizing communication efficiency for each device's current state while avoiding unnecessary coordination overhead for devices in similar states
2Adaptability or versatility
If beam training phases are extended to accommodate all device types, then adaptability improves, but transmission time and resource consumption increase
Solution Approach 1:
The beam refinement procedure is segmented into distinct phases (P2 transmit beam refinement, P3 receive beam refinement) that can be selectively executed. Devices perform only the necessary phases based on their capabilities and operational state, rather than completing all possible training phases. This segmentation allows high adaptability across different device types while minimizing the time each device spends in beam training
Solution Approach 2:
Devices perform partial beam refinement actions based on their specific needs. For example, devices with advanced capabilities may skip certain phases already covered by their counterpart, or devices in stable conditions may use simplified training sequences. This partial action approach maintains versatility across device types while reducing overall training duration and resource consumption
3Reliability
If beam refinement coordination considers multiple differential metrics, then communication performance improves, but signaling overhead and processing complexity increase
Solution Approach 1:
Devices exchange feedback messages containing their differential metrics (antenna element counts, power consumption levels, thermal states, mobility indicators) before initiating beam refinement. The coordinating device uses this feedback to determine the appropriate beam refinement sequence and phases. This feedback mechanism ensures high beam alignment accuracy by considering multiple device characteristics while keeping processing complexity manageable through structured information exchange
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A first device may transmit, to a second device, an indication of a sequence of beam training phases that are to be used in a requested beam training procedure between the first device and the second device. The sequence of beam training phases may be selected based on interference measurements performed by the first device, various user exposure metrics, device mobility, power consumption, among other metrics. The second device may receive the indication from the first device, and may transmit a response message to the first device that acknowledges the sequence of beam training phases for the requested beam training procedure. Both the first device and the second device may perform the requested beam training procedure by communicating information via one or more communication beams, which may include performing the sequence of beam training phases indicated by the first device.