MIMO Precoding for Flexible Scheduling in LTE Systems
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Solution Overview
Problem
In MIMO technologies for LTE and LTE-A systems, the need for multiple UEs to use the same transmission scheme results in relatively low scheduling flexibility, limiting the system's ability to adapt to diverse channel environments and optimize spectrum efficiency.
Innovation Solution
The implementation of a data sending method where the transmit end device precodes multiple spatial flows, obtained by preprocessing original spatial flows, allowing each receive end device to use a different transmission scheme, thereby enhancing scheduling flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple UEs scheduled at a time use the same transmission scheme for data transmission, then the system maintains simplicity in scheduling management, but scheduling flexibility is relatively low
Solution Approach 1:
The patent segments the transmission scheme into two independent parts: precoding matrix selection (handled by UE based on PMI feedback) and resource allocation (handled by base station scheduler). This segmentation allows different UEs to use different precoding matrices while maintaining unified resource management, thereby improving scheduling flexibility without proportionally increasing system complexity.
Solution Approach 2:
The patent introduces dynamic precoding matrix selection where the base station can adaptively assign different precoding matrices to different UEs based on real-time channel conditions and PMI feedback. This dynamic adjustment enables the system to optimize transmission performance for each UE individually while maintaining overall scheduling efficiency.
2Adaptability or versatility
If the system uses unified transmission schemes for multiple UEs, then the scheduling management is simplified, but the ability to adapt to diverse channel environments is limited
Solution Approach 1:
The patent implements preliminary action by having UEs pre-calculate and feedback PMI (Precoding Matrix Indicator) values that represent their preferred precoding matrices based on current channel conditions. The base station uses this pre-computed feedback to quickly select appropriate precoding matrices without real-time complex calculations, enabling adaptive channel optimization while maintaining simple scheduling management.
Solution Approach 2:
The PMI feedback mechanism serves as an intermediary that bridges the gap between UE channel conditions and base station scheduling decisions. Instead of the base station directly managing complex per-UE optimization, the PMI feedback provides condensed channel state information that guides precoding matrix selection, simplifying the scheduling management process while maintaining channel adaptability.
Data Source
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AI summary
This application discloses a data sending method, a data receiving method, a device, and a system, and belongs to the field of communications technologies. The data sending method includes: precoding a plurality of spatial flows to obtain a plurality of precoded data streams, where the plurality of spatial flows include at least two first preprocessed spatial flows, and the at least two first preprocessed spatial flows are obtained by preprocessing a first original spatial flow; and transmitting the plurality of precoded data streams. This application resolves a problem of relatively low scheduling flexibility and improves scheduling flexibility. This application is used for data transmission.