Virtual Boundary Marking for Beam Scanning Efficiency
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Solution Overview
Problem
In wireless communications, especially in 5G networks, beam scanning is hindered by blockages and shadow regions, leading to UE power drainage and poor system performance due to irregular coverage and significant imbalances between downlink and uplink, making it difficult for user equipment (UE) to access or camp on the network.
Innovation Solution
The implementation of virtual boundary marking techniques, where user equipment (UE) receives configuration information about base station virtual boundary geometry through virtual boundary marking code blocks (VBMCB), allowing it to determine optimal communication paths and establish connections within the base station's coverage area, using eigenvector information such as azimuth angle, elevation angle, and propagation time delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam sweeping procedure is performed to find the best beam between base station and UE, then connection quality is improved, but beam scanning is hindered by blockages and shadow regions leading to UE power drainage
Solution Approach 1:
The base station performs preliminary actions by determining and broadcasting virtual boundary marking code blocks that define coverage boundaries before UE attempts beam scanning. This preliminary information allows UE to avoid unnecessary scanning in shadow regions or blockage areas, preventing wasted power consumption while maintaining connection quality through informed beam selection.
2Adaptability or versatility
If beam scanning is performed in shadow regions, then UE attempts to access network, but beam scanning is hindered by multiple blockages causing poor system performance
Solution Approach 1:
Virtual boundary marking code blocks serve as an intermediary information layer between the base station's actual coverage and the UE's beam scanning process. These code blocks provide indirect knowledge of coverage boundaries and shadow regions, allowing UE to adapt its scanning behavior without directly experiencing the harmful effects of blockages, thus maintaining both access capability and system performance.
3Ease of operation
If UE performs beam scanning without positional awareness, then UE can attempt network access, but efficient beam direction cannot be achieved
Solution Approach 1:
The base station provides feedback information to UE through virtual boundary marking code blocks that indicate coverage geometry and boundaries. This feedback enables UE to adjust its beam scanning strategy by directing beams toward areas marked as covered, improving scanning efficiency while maintaining ease of network access through automated boundary-aware beam selection.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described in which a UE receives configuration information indicative of a base station virtual boundary geometry, decodes a plurality of virtual boundary marking code blocks associated with the configuration information, said decoding based on UE eigenvector information, and determines to establish communications with the base station within the base station virtual boundary geometry. A base station determines configuration information indicative of a base station virtual boundary geometry, the configuration information associated with accumulated measured and reported key performance parameters of a plurality of user equipment, transmits the configuration information to at least one UE, wherein the configuration information comprises a plurality of virtual boundary marking code blocks and attempts to establish communications with the at least one user equipment.