Signature Matrix Precoding for MIMO Channel Capacity
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Solution Overview
Problem
Current MIMO technologies face challenges in efficiently utilizing limited receive antennas to improve communication quality and channel capacity without increasing spectrum resources or transmit power.
Innovation Solution
A data transmission method involving a transmit end device that determines a signature matrix S and a precoding matrix P based on the number of layers and receive antennas, allowing for sparse distribution of data streams across spatial resources, enabling efficient use of time-frequency resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MIMO technology uses multiple transmit and receive antennas to improve communication quality and channel capacity, then the system channel capacity can be exponentially increased, but the quantity of receive antennas becomes limited and difficult to increase
Solution Approach 1:
The invention segments the data stream into multiple layers and maps each layer to different spatial resources through signature matrices, allowing parallel transmission of multiple data layers using the same time-frequency resource. This segmentation approach enables the system to achieve higher channel capacity without increasing the number of physical receive antennas.
Solution Approach 2:
The invention introduces spatial domain multiplexing by mapping data layers to different spatial resources (different elements in the signature matrix), effectively adding a spatial dimension to the transmission. This allows multiple data streams to be transmitted simultaneously over the same time-frequency resource, exponentially increasing channel capacity without requiring proportional increases in receive antenna quantity.
2Reliability
If the number of receive antennas is increased to improve communication quality, then more data streams can be received, but the physical limitation and cost of adding antennas increases
Solution Approach 1:
The invention changes the parameter of spatial resource allocation by using signature matrices with different sparsity patterns. By adjusting the mapping relationships between data layers and spatial resources through these matrices, the system can optimize communication quality for different channel conditions without physically changing the antenna configuration or increasing device complexity.
3Productivity
If traditional precoding is used without signature matrices, then the system cannot achieve sparse distribution of data streams across spatial resources, but time-frequency resource utilization efficiency is low
Solution Approach 1:
The invention performs preliminary action by pre-designing signature matrices with specific sparsity patterns before data transmission. These pre-configured matrices enable the system to efficiently distribute data streams across spatial resources without requiring complex real-time processing during transmission, thus improving time-frequency resource utilization while keeping processing complexity manageable.
Data Source
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AI summary
Embodiments of the present invention provide a data transmission method, apparatus, and device, so as to improve efficiency in utilizing a time-frequency resource. The method includes: determining, by a transmit end device, a signature matrix S according to a quantity L of layers of a data stream and a quantity R of receive antennas used by a receive end device; determining, by the transmit end device, a precoding matrix P according to a channel matrix H and the signature matrix S, and performing precoding processing on the L-layer data stream according to the precoding matrix P; and sending, by the transmit end device to the receive end device, the L-layer data stream on which the precoding processing has been performed and information used to indicate the signature matrix S.