Beam Identifier Grouping for Low-Interference MU-MIMO Pairing
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Solution Overview
Problem
Traditional mobile networks group communication devices into MU-MIMO groups without considering beam identifiers, leading to interference or requiring complex algorithms for accurate pairing, which is inefficient and inaccurate.
Innovation Solution
The method involves obtaining beam identifiers for each communication device and using them to form MU-MIMO groups, ensuring each device has a unique beam identifier to reduce interference and simplify the pairing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If blind pairing (grouping) of communication devices is used to establish MU-MIMO groups, then the pairing process is simple, but devices with the same beam identifier are grouped together causing signal interference
Solution Approach 1:
The system performs preliminary actions by obtaining and storing beam identifiers for each communication device before forming MU-MIMO groups. This preliminary data collection enables the system to make informed grouping decisions that avoid interference while maintaining operational simplicity.
Solution Approach 2:
The system uses beam identifier information as feedback to dynamically adjust MU-MIMO group formation. By continuously monitoring beam identifiers and using this information to prevent grouping devices with identical beam IDs, the system eliminates signal interference while keeping the pairing process simple.
2Measurement precision
If complex algorithms are used to calculate spectrum efficiency for accurate MU-MIMO pairing, then pairing accuracy improves, but computational complexity and processing time increase significantly
Solution Approach 1:
The system extracts and utilizes beam identifier information as a key parameter for MU-MIMO group formation. By focusing on this specific extracted parameter rather than performing comprehensive spectrum efficiency calculations, the system achieves accurate pairing with significantly reduced computational complexity.
Solution Approach 2:
The system changes the approach from calculating complex spectrum efficiency metrics to using beam identifier parameters for grouping decisions. This parameter substitution maintains pairing accuracy while dramatically simplifying the computational requirements and processing time.
3Productivity
If devices with the same beam identifier are grouped in MU-MIMO, then more devices can be grouped together increasing capacity, but interference occurs reducing effective throughput
Solution Approach 1:
The system converts the potentially harmful situation of grouping devices with identical beam identifiers into a beneficial filtering mechanism. By using beam identifier matching as a criterion to exclude certain pairings, the system prevents interference while maintaining high device grouping capacity through alternative compatible pairings.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining a first beam identifier associated with a first communication device, obtaining a second beam identifier associated with a second communication device, determining that the first communication device and the second communication device share a same beam identification according to the first beam identifier and the second beam identifier, and responsive to determining that the first communication device and the second communication device share the same beam identification, generating a single user (SU) MIMO group including the first communication device and the second communication device. Other embodiments are disclosed.