Beamformed Discovery Using Directional Probability Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In device-to-device communication, existing methods face interference issues due to the directionality of beamforming in millimeter wave settings, leading to difficulties in detecting nearby user equipment effectively.
Innovation Solution
A method for determining beam widths and beamforming directions based on directional probability information, which includes receiving probability data from a network node and using it to prioritize beamforming in specific directions, allowing UEs to discover each other more effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beamforming is used in millimeter wave device-to-device communication, then communication efficiency and signal directionality are improved, but interference between nearby user equipments increases and detection reliability deteriorates
Solution Approach 1:
The network node performs preliminary action by calculating and providing directional probability information before the actual discovery procedure. This information includes probability values for different beam directions, allowing user equipments to pre-determine optimal beamforming configurations without needing to perform exhaustive beam sweeping, thereby reducing interference while maintaining detection reliability.
Solution Approach 2:
The directional probability information acts as an intermediary element between the network node and user equipments. Instead of requiring direct exchange of extensive location and orientation data between UEs, the network node provides this probabilistic guidance that mediates the beamforming process, reducing the information sharing burden while improving detection effectiveness.
2Measurement precision
If extensive location and orientation data is shared between user equipments, then beam alignment precision is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The invention extracts the essential information needed for beam alignment from the complex set of location and orientation data. Instead of processing full positional and orientational information directly between UEs, the network node extracts and provides only the necessary directional probability information, simplifying the data processing requirements while maintaining alignment precision.
Solution Approach 2:
The network node creates a simplified representation (copy) of the spatial distribution information in the form of directional probability information. This copy contains the essential beam alignment guidance without requiring UEs to process the full complexity of original location and orientation data, reducing device complexity while preserving alignment precision.
3Object-affected harmful factors
If directional probability information is provided by the network node, then interference reduction is improved, but network node processing requirements and signal overhead increase
Solution Approach 1:
The network node performs self-service by utilizing its existing knowledge of user equipment locations and network topology to autonomously calculate directional probability information. This eliminates the need for complex real-time calculations during the discovery procedure, as the network node has already prepared the necessary guidance information based on pre-collected data.
Data Source
AI summary
There is provided an apparatus comprising one or more processors, and one or more memories storing instructions that, when executed by the one or more processors, cause the apparatus to perform: receiving, by a user equipment, directional probability information comprising a plurality of directions with probabilities, wherein a probability of a direction of the plurality of directions indicates how probable it is that another use equipment is in that direction; and determining beam widths and beamforming directions based on the probabilities.