Base Station Channel Spatial Characteristic Measurement
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Solution Overview
Problem
Existing technologies fail to accurately learn channel spatial characteristic information in massive MIMO systems, which is essential for effective data transmission between multiple base stations and user equipment, as they cannot distinguish multipath signals at different angles effectively.
Innovation Solution
A method where a first base station sends a channel spatial characteristic request to multiple second base stations, which measure and return indication information including angle and spatial intensity data, allowing the first base station to select an optimal data transmission base station based on this information, thereby improving multipath distinction and reducing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If prior art methods are used for channel measurement, then the measurement process is simple, but the channel spatial characteristic information cannot be accurately obtained
Solution Approach 1:
The patent divides the channel measurement task into multiple segments by having different base stations independently measure and report channel spatial characteristic information. Each base station measures angle information and spatial intensity information separately, then the network side combines these segmented measurements to achieve comprehensive and accurate channel spatial characteristic information without requiring a single complex centralized measurement system.
Solution Approach 2:
The patent introduces an intermediary measurement mechanism where base stations act as intermediate measurement nodes that collect channel spatial characteristic information from multiple directions. These base stations serve as intermediaries between the user equipment and the network side, enabling accurate spatial characteristic acquisition through distributed measurement points without requiring direct complex measurement between all entities.
2Reliability
If multiple base stations are used for collaborative communication, then the multipath distinguishing capability is improved, but the requirement for channel spatial characteristic information precision increases
Solution Approach 1:
The patent combines channel spatial characteristic information from multiple base stations to achieve comprehensive spatial characteristics. By merging angle information and spatial intensity information from different base station perspectives, the system achieves high-precision channel spatial characteristics that enable reliable multipath distinction in collaborative communication scenarios.
Solution Approach 2:
The patent implements a feedback mechanism where base stations measure and report channel spatial characteristic information including angle and spatial intensity data. This feedback loop enables the network side to continuously refine and update channel spatial characteristic information, ensuring high precision requirements are met for reliable multipath distinguishing capability in multi-base station collaborative communication.
Data Source
AI summary
Embodiments of the present invention provide a method for obtaining channel spatial characteristic information, and a base station. The method includes: separately sending, by a first base station, a channel spatial characteristic request and an identity of to-be-measured user equipment (UE) to multiple second base stations, where the channel spatial characteristic request is used to instruct the second base station to perform channel spatial characteristic information measurement on the to-be-measured UE; and receiving, by the first base station, channel spatial characteristic indication information sent by the multiple second base stations, where the channel spatial characteristic indication information carries channel spatial characteristic information of the to-be-measured UE.