Route-Based Beam Provisioning for Wireless Mobility
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Solution Overview
Problem
In wireless communication systems, particularly in mobility states, user equipment (UE) often falls back to blind detection procedures when whitelisted cells are not present, leading to inefficient neighbor cell searches and increased power consumption.
Innovation Solution
A method where a base station determines route information for a UE in a mobility state and transmits information identifying a set of beams along the predicted route, enabling the UE to perform efficient neighbor cell measurements using a whitelist of beams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE performs blind detection procedures to search for neighbor cells, then the UE can detect available cells, but the search procedure becomes longer and power consumption increases
Solution Approach 1:
The base station performs preliminary action by determining route information for the UE and provisioning a set of beams along the predicted route before the UE actually needs to perform neighbor cell measurements. This allows the UE to have pre-configured beam information available, eliminating the need for time-consuming blind detection procedures when the UE moves to new locations.
2Reliability
If the UE performs blind detection procedures to search for neighbor cells, then the UE can detect available cells, but power consumption increases
Solution Approach 1:
The base station performs preliminary action by determining route information for the UE and provisioning a set of beams along the predicted route before the UE actually needs to perform neighbor cell measurements. This allows the UE to have pre-configured beam information available, eliminating the need for time-consuming blind detection procedures when the UE moves to new locations.
3Productivity
If the base station provides whitelisted cells for measurement, then the measurement procedure becomes more efficient, but the UE may fall back to blind detection when whitelisted cells are not present
Solution Approach 1:
The base station dynamically updates the set of beams along the predicted route based on the UE's mobility state and current location. This dynamic adaptation ensures that the whitelisted cells remain relevant and useful even as the UE moves, preventing falls back to blind detection while maintaining measurement efficiency throughout the mobility scenario.
Solution Approach 2:
The system incorporates feedback mechanisms where the base station monitors the UE's actual location and mobility state, adjusting the beam provisioning accordingly. This feedback loop ensures that the whitelisted cells are continuously optimized for the UE's current situation, maintaining both efficiency and adaptability.
4Reliability
If the base station determines route information and provisions beams along the predicted route, then the likelihood of detecting beams during neighbor cell searches increases, but the system complexity increases
Solution Approach 1:
The base station acts as an intermediary that handles the complex route determination and beam provisioning tasks. By centralizing this complexity in the base station's measurement and routing functions, the UE doesn't need to implement complex route prediction algorithms itself, thus managing system complexity while improving beam detection reliability.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a base station (BS) may determine, for a user equipment (UE) operating in a mobility state, route information. The BS may transmit, to the UE, information identifying a set of beams based at least in part on the route information. The UE may perform a set of neighbor cell measurements, in connection with movement along the predicted route, using the set of beams. Numerous other aspects are provided.