Controllable Beam Management Accuracy for 5G TRP
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Solution Overview
Problem
Current 5G wireless communication systems face challenges in maintaining beam management accuracy, especially at high frequencies, where beam pair link failures occur frequently due to blocking or shadowing, and existing methods are inadequate for both short and long data sessions, leading to suboptimal data throughput and link reliability.
Innovation Solution
A controllable beam management mechanism that dynamically switches between a baseline and an extended procedure based on transmit buffer status, using buffer status reports to classify data sessions and invoke appropriate beam management strategies, ensuring robustness and throughput optimization only when needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-gain beamforming is employed to achieve satisfactory link budget at high frequencies, then coverage is improved, but beam tracking becomes challenging due to narrow beams
Solution Approach 1:
The patent implements dynamic beam management by maintaining multiple beam pair links (active and monitored) and dynamically switching between them based on channel conditions. The system continuously updates beam pair links as the UE moves, enabling adaptive tracking of the optimal beam without requiring manual intervention or complex tracking algorithms.
Solution Approach 2:
The patent establishes monitored beam pair links in advance as fallback options before they are needed. These monitored BPLs are pre-configured and tracked alongside the active BPL, so when blocking occurs, the system can immediately switch to a pre-prepared backup beam without interruption to service.
2Reliability
If multiple beam pair links are maintained and updated continuously, then robustness against blocking is improved, but system complexity increases
Solution Approach 1:
The patent segments beam management into distinct functional components: active beam management for primary communication and monitored beam management for fallback purposes. Each beam pair link is independently configured, measured, and controlled, allowing the system to manage multiple beams through modular procedures rather than a monolithic complex system.
Solution Approach 2:
The system uses UE measurements and feedback on reference signal quality to automatically manage beam pair links. The UE continuously reports received quality of reference signals transmitted from the TRP on different beams, enabling automatic selection and switching of optimal beams without complex centralized control.
3Productivity
If beam switching is performed quickly to handle short data sessions, then data throughput is improved, but beam tracking accuracy may be compromised
Solution Approach 1:
The patent applies partial beam management by maintaining full beam management procedures (including multiple monitored BPLs) only when needed for long data sessions, while using simplified procedures for short data sessions. The system classifies data sessions based on transmit buffer status and applies appropriate beam management strategies, avoiding excessive complexity for short sessions while ensuring adequate tracking accuracy when required.
Data Source
AI summary
In one aspect there is provided a process for beam management. In some embodiments, the process includes: a TRP classifying a data session between the TRP and a UE into one of at least two classifications; and the TRP selecting a beam management procedure for managing one or more BPLs between the TRP and the UE based on the classification into which the data session is classified.