Dynamic MIMO Mode Selection for Collaborative Beamforming
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Solution Overview
Problem
The existing wireless communication systems using fixed MIMO modes for collaborative MIMO beamforming lack flexibility, leading to reduced system performance due to inadequate adaptation to varying channel quality conditions.
Innovation Solution
A method and system that dynamically select the MIMO mode based on channel quality information (CQI) to perform MIMO encoding and distribute the encoded data stream among multiple transmitting ends, allowing for flexible switching between MIMO modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed MIMO mode is used for collaborative MIMO beamforming, then the system configuration is simple, but the system performance deteriorates due to lack of flexibility in adapting to varying channel quality conditions
Solution Approach 1:
The patent implements dynamic MIMO mode selection by introducing a mode selection module that dynamically chooses between collaborative MIMO beamforming mode and conventional MIMO mode based on real-time channel quality information (CQI). This transforms the fixed system into a dynamic one that adapts to varying channel conditions, resolving the contradiction between adaptability and system complexity.
Solution Approach 2:
The patent changes the operational parameter (MIMO mode) based on channel quality conditions. When CQI indicates good channel conditions, the system switches to collaborative MIMO beamforming mode for optimized performance; when conditions deteriorate, it switches to conventional MIMO mode. This parameter change approach enables adaptability without permanently increasing system complexity.
2Productivity
If collaborative MIMO beamforming is implemented, then system capacity and coverage are improved, but the complexity of resource scheduling and coordination between transmitting ends increases
Solution Approach 1:
The patent introduces a general controller as an intermediary that manages resource scheduling and coordinates between multiple transmitting ends. This intermediary handles the complex coordination tasks, enabling collaborative MIMO beamforming to achieve improved system capacity and coverage while centralizing the complexity management in a dedicated component.
Solution Approach 2:
The system dynamically activates collaborative MIMO beamforming only when channel conditions warrant it, rather than operating in this mode continuously. This dynamic approach allows the system to achieve high productivity when needed while reducing the average complexity of resource scheduling and coordination.
Data Source
AI summary
The present invention discloses a method and a system for transmitting data using the collaborative multiple input multiple output (MIMO) beamforming. The method comprises: selecting an MIMO mode according to channel quality information (CQI) (S502); performing the MIMO encoding on a data stream according to the selected MIMO mode, and distributing the encoded data stream to a plurality of transmitting ends which are mutual collaborative (S504); and transmitting, by the plurality of transmitting ends, the encoded data stream (S506). The present invention solves the problem in the relevant art of reducing the system performance and the flexibility, which is caused by adopting the fixed MIMO mode when the system carries out the encoding and the transmission, which is capable of improving the system performance.