Antenna Pattern Grouping for MU-MIMO Throughput
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Solution Overview
Problem
In traditional MU-MIMO antenna systems, determining the exact user location using RSSI is impossible, leading to incorrect antenna direction settings, especially when a rogue AP is present, which decreases data transmission throughput.
Innovation Solution
A communication method that selects antenna pattern combinations based on both received signal strength indicators and data rates, using a processor to group antenna patterns, calculate signal parameter statistics, and adjust patterns dynamically to improve transmission efficiency by selecting optimal antenna sets and combinations for uplink and downlink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If antenna direction is determined using only RSSI, then the system is simple to operate, but the antenna direction becomes inaccurate especially when rogue devices are present
Solution Approach 1:
The patent changes the parameter basis for antenna direction determination from only RSSI to a combination of RSSI and data rate. This dual-parameter approach resolves the contradiction by providing more accurate location identification (improving measurement precision) while using systematic grouping methods to manage the increased complexity of antenna pattern selection.
Solution Approach 2:
The patent segments antenna patterns into multiple groups based on different data rate ranges. Each group contains antenna patterns suitable for specific data rate conditions. This segmentation reduces the complexity of selecting from all possible antenna patterns by organizing them into manageable groups, while still enabling accurate selection based on both RSSI and data rate.
2Productivity
If antenna pattern is selected based only on RSSI, then the selection process is fast, but transmission throughput decreases due to incorrect antenna direction
Solution Approach 1:
The patent performs preliminary grouping of antenna patterns into multiple groups based on data rate ranges before actual transmission. This preliminary organization allows for rapid selection during operation, as the system only needs to search within relevant groups rather than evaluating all antenna patterns, thus maintaining speed while improving throughput accuracy.
Solution Approach 2:
The patent implements dynamic antenna pattern selection that adapts to changing transmission conditions. The system continuously monitors both RSSI and data rate, and dynamically adjusts the antenna pattern selection based on current network status. This dynamic approach ensures optimal throughput is maintained even as conditions change, while the pre-established grouping structure keeps selection time minimal.
3Reliability
If traditional RSSI-based antenna selection is used, then the system is easy to implement, but rogue devices cause wrong antenna direction and decreased throughput
Solution Approach 1:
The patent introduces data rate as an additional parameter for antenna pattern selection, changing the selection criteria from single-parameter (RSSI) to multi-parameter (RSSI + data rate). This change improves reliability by making rogue device identification more accurate, as legitimate users and rogue devices typically exhibit different data rate patterns. The systematic grouping method manages the increased complexity by organizing antenna patterns according to data rate ranges.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system monitors transmission performance and adjusts antenna pattern selection accordingly. By continuously evaluating both RSSI and data rate feedback, the system can identify and adapt to rogue device presence, improving directional accuracy. The feedback loop works within the structured grouping framework to manage complexity while enhancing reliability.
Data Source
AI summary
A communication method includes grouping a plurality of antenna patterns of a communication device according to an antenna device group corresponding to different antenna combinations to form a plurality of antenna pattern groups, and selecting an antenna pattern group from the antenna pattern groups; according to a plurality of signal parameter statistics of a plurality of antenna pattern combinations corresponding to each of the selected antenna pattern group, selecting a first antenna pattern combination and a last antenna pattern combination among the plurality of antenna pattern combinations; and according to first data related to the first antenna pattern combination and second data related to the last antenna pattern combination, setting the first antenna pattern combination or the last antenna pattern combination as a transmission antenna pattern combination for data transmission.