MIMO Channel Decomposition Using Element Rotation
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Solution Overview
Problem
The complexity of decomposing the channel matrix in multiple input multiple output (MIMO) wireless communication systems is high, leading to increased memory space and computation requirements, which hinders the development of efficient MIMO wireless communication systems.
Innovation Solution
A method that decomposes the channel matrix into three matrices of the same size through element rotation, specifically using Givens rotation and Coordinate Rotation Digital Computer (CORDIC) to convert complex elements on and adjacent to the diagonal into real numbers, reducing memory space and computation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional channel decomposition methods are used to extract channel state information, then accurate channel state information can be obtained, but memory space and computation complexity increase significantly
Solution Approach 1:
The channel matrix is divided into two portions: a first portion containing diagonal elements and a second portion containing non-diagonal elements. This segmentation allows different processing strategies to be applied to each portion, reducing overall computation complexity while maintaining decomposition accuracy.
Solution Approach 2:
The patent transforms complex elements in the channel matrix into real-number elements through parameter changes. By converting the complex-valued channel matrix into a real-valued form, the computational operations are simplified from complex arithmetic to real arithmetic, significantly reducing computation complexity and memory requirements.
2Loss of information
If traditional channel decomposition methods are used, then complete channel state information can be extracted, but memory space requirements increase
Solution Approach 1:
The patent extracts only the essential channel state information needed for precoding operations. By using element rotation to transform the channel matrix into a form where only real-number elements are retained, unnecessary imaginary components are removed, reducing memory space while preserving the functional information required for MIMO communication.
Solution Approach 2:
Through parameter changes that convert complex elements to real elements, the patent reduces the storage requirements. The transformed channel matrix requires less memory space because real numbers occupy less storage than complex numbers, yet the essential channel characteristics are preserved for effective communication.
3Productivity
If spatial multiplexing technique is applied to transmit signals through different antenna sets, then throughput increases, but signal attenuation and interference increase
Solution Approach 1:
The patent implements a feedback mechanism where channel state information is continuously estimated and used to adjust precoding operations. The channel estimation unit monitors the wireless channel conditions, and this feedback is used to optimize the precoding matrix, compensating for signal attenuation and interference caused by spatial multiplexing.
Solution Approach 2:
The patent dynamically adjusts precoding parameters based on channel conditions. By changing the precoding matrix parameters according to real-time channel state information, the system optimizes signal transmission to counteract attenuation and interference, maintaining high throughput while mitigating harmful effects.
Data Source
AI summary
A multiple input multiple output wireless communication system and a channel decomposition method thereof are provided. The wireless communication system includes a precoding unit, a channel estimation unit, a channel decomposition unit and a quantization unit. The precoding unit receives a plurality of transmission data streams and wireless channel information to provide a plurality of transmission symbols to a wireless channel. The channel estimation unit estimates the wireless channel to provide a channel matrix. The channel decomposition unit makes a plurality of elements on a diagonal and adjacent to a side of the diagonal as real numbered elements through an element ration and correspondingly rotates a first unit matrix and a second unit matrix to obtain channel state information. The quantization unit provides the wireless channel information according to the channel state information.