Default Rules for Inter-Cell Multi-TRP Beam Management
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Solution Overview
Problem
Current mobile communication networks face challenges in efficiently managing beam management and bandwidth adaptation in multi-TRP (Transmission Point) environments, particularly in 5G NR networks, where optimal resource allocation and beam selection are complex due to varying traffic loads and device capabilities.
Innovation Solution
The implementation of advanced beam management and bandwidth adaptation techniques, including multi-TRP operation, dynamic CORESET configurations, and adaptive bandwidth part (BWP) management, which allow for real-time adjustments based on traffic conditions and device capabilities, optimizing resource utilization and quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multi-TRP operation is implemented to enhance network capacity and coverage, then network throughput and coverage are improved, but beam management complexity and resource allocation difficulty increase
Solution Approach 1:
The patent segments the multi-TRP system into separate beam management procedures and default rule applications. Each TRP can be managed independently with dedicated beams, and the gNodeB applies default rules selectively to simplify the management of multiple transmission points while maintaining high throughput capability.
Solution Approach 2:
The patent dynamically changes beam configuration parameters and resource allocation settings based on traffic conditions and device capabilities. The gNodeB adjusts beam directions, bandwidth parts, and transmission parameters in real-time to optimize network throughput while managing complexity through automated parameter adaptation.
2Productivity
If dynamic CORESET configurations and adaptive BWP management are applied to optimize resource allocation, then user plane performance is improved, but control plane processing complexity increases
Solution Approach 1:
The patent implements preliminary configuration of CORESETs and BWPs where default rules are pre-established for common scenarios. The gNodeB pre-configures multiple BWPs and their associated parameters, then applies appropriate defaults based on detected traffic conditions, reducing real-time processing complexity while maintaining optimal user plane performance.
Solution Approach 2:
The patent employs feedback mechanisms where the gNodeB monitors traffic conditions and device capabilities, then adjusts CORESET configurations and BWP assignments accordingly. This closed-loop approach optimizes user plane performance by continuously adapting to changing conditions while managing control plane complexity through automated feedback-driven decisions.
3Loss of energy
If real-time beam selection and bandwidth adaptation are performed based on traffic conditions, then resource utilization is optimized, but detection and measurement requirements increase
Solution Approach 1:
The patent implements self-service mechanisms where the gNodeB automatically detects traffic conditions and applies appropriate default rules without requiring complex external analysis. The system monitors its own operational parameters and device capabilities, making self-directed decisions about beam selection and bandwidth allocation to optimize resource utilization while avoiding complex detection requirements.
Data Source
AI summary
A wireless device may receive, via a control resource set (coreset) associated with a physical cell index (PCI), a downlink control information (DCI) scheduling reception of a downlink signal. The wireless device may receive, based on a transmission configuration indicator (TCI) state associated with the PCI, the downlink signal. The receiving of the downlink signal may be in response to a time offset between the DCI and the downlink signal is less than a threshold, and the coreset being associated with the PCI.