Beam ID Guard Interval for Wireless Beam Prediction Updates
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Solution Overview
Problem
The challenge in wireless communication systems is the high overhead and potential for beam ID collisions due to dynamic updates in beamforming weights, which complicates AI/ML-based beam prediction and increases signaling overhead.
Innovation Solution
Implementing a beam ID update guard interval and a set of unique beam IDs, along with a single bit indication (is_new_precoder) to manage beam pattern changes, reducing overhead and mitigating collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dynamic updates in beamforming weights are performed frequently to adapt to changing channel conditions, then network configuration adaptability is improved, but signaling overhead increases and beam ID collisions occur more frequently
Solution Approach 1:
The patent extracts only the essential information needed for beam prediction by introducing a guard interval that separates beam ID updates from prediction data collection. During the guard interval, beam ID updates occur without triggering prediction model updates, thereby filtering out unnecessary signaling events and reducing overall signaling overhead while maintaining adaptability.
Solution Approach 2:
The patent implements preliminary action by establishing a guard interval before beam ID updates. This preliminary time window allows the system to prepare for updates without immediately triggering prediction model changes, reducing the frequency of prediction updates and thereby reducing signaling overhead while preserving the ability to adapt to channel changes.
2Adaptability or versatility
If dynamic updates in beamforming weights are performed frequently to adapt to changing channel conditions, then network configuration adaptability is improved, but beam ID collisions increase
Solution Approach 1:
The patent applies beforehand cushioning by introducing a guard interval that acts as a buffer between beam ID updates. This cushioning period prevents rapid successive updates that could cause beam ID collisions, thereby improving reliability while still allowing the system to adapt to channel changes through controlled update timing.
3Measurement precision
If beam prediction data collection is performed continuously to improve prediction accuracy, then AI/ML model accuracy is improved, but processing complexity and energy consumption increase
Solution Approach 1:
The patent implements periodic action by restricting beam prediction data collection to occur only outside guard intervals. Instead of continuous data collection, the system periodically collects prediction data during valid time windows, thereby reducing energy consumption while maintaining sufficient prediction accuracy through strategic sampling at appropriate moments.
4Reliability
If a large number of unique beam IDs are allocated to handle dynamic beamforming updates, then beam identification reliability is improved, but signaling overhead increases
Solution Approach 1:
The patent applies preliminary action by allocating beam IDs in advance during configured guard intervals rather than dynamically creating new IDs during updates. This preliminary allocation reduces the need for frequent new ID assignments and associated signaling, while maintaining reliable beam identification through pre-planned ID management.
Data Source
AI summary
A method, network node and wireless device (WD) to perform procedures based on a beam identification (ID) update guard interval are disclosed. According to one aspect, a method in a network node includes configuring a beam ID update guard period during which the WD is configured to assume that a same network node spatial filter is used during the beam ID update guard period unless otherwise indicated by the network node. The method also includes transmitting an indication of the configuration to the WD.